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data-work-id="19786409"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/19786409/Climate_change_impacts_on_the_hydrology_of_a_snowmelt_driven_basin_in_semiarid_Chile"><img alt="Research paper thumbnail of Climate change impacts on the hydrology of a snowmelt driven basin in semiarid Chile" class="work-thumbnail" src="https://attachments.academia-assets.com/42017947/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/19786409/Climate_change_impacts_on_the_hydrology_of_a_snowmelt_driven_basin_in_semiarid_Chile">Climate change impacts on the hydrology of a snowmelt driven basin in semiarid Chile</a></div><div class="wp-workCard_item"><span>Climatic Change</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this paper we present an analysis of the direct impacts of climate change on the hydrology of ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this paper we present an analysis of the direct impacts of climate change on the hydrology of the upper watersheds (range in elevation from 1,000 to 5,500 m above sea level) of the snowmelt-driven Limarí river basin, located in north-central Chile (30 • S, 70 • W). A climate-driven hydrology and water resources model was calibrated using meteorological and streamflow observations and later forced by a baseline and two climate change projections (A2, B2) that show an increase in temperature of about 3-4 • C and a reduction in precipitation of 10-30% with respect to baseline. The results show that annual mean streamflow decreases more than the projected rainfall decrease because a warmer climate also enhances water losses to evapotranspiration. Also in future climate, the seasonal maximum streamflow tends to occur earlier than in current conditions, because of the increase in temperature during spring/summer and the lower snow accumulation in winter.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b95a074cd569c375c4620afb962a3c8d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42017947,"asset_id":19786409,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42017947/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786409"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786409"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786409; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786408"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/19786408/Incorporating_remotely_sensed_cloud_and_atmospheric_thermodynamic_data_into_a_microphysically_based_precipitation_model"><img alt="Research paper thumbnail of Incorporating remotely sensed cloud and atmospheric thermodynamic data into a microphysically based precipitation model" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/19786408/Incorporating_remotely_sensed_cloud_and_atmospheric_thermodynamic_data_into_a_microphysically_based_precipitation_model">Incorporating remotely sensed cloud and atmospheric thermodynamic data into a microphysically based precipitation model</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this work we formulate a precipitation model driven by remotely sensed cloud microphysical par...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this work we formulate a precipitation model driven by remotely sensed cloud microphysical parameters and atmospheric thermodynamic structure. The primary objective in developing the model is to retain a simple structure capable of easily generating ensemble fields of precipitation at relatively high spatial and temporal resolution. The motivation for doing so is to ultimately use the model in a data assimilation framework. The precipitation model is based on a one-dimensional conceptualization of an atmospheric column that derives the liquid mass balance of a cloud layer and surface rainfall rate from thermodynamic principles and state-of-the-art and readily available satellite information. Specifically, cloud microphysical parameters obtained from the VISST/SIST algorithm include cloud top and base pressure, liquid and ice water content, and characteristic hydrometeor size, and are used to estimate precipitation leaving the cloud base. Profiles of atmospheric temperature and hu...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786408"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786408"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786408; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786408]").text(description); $(".js-view-count[data-work-id=19786408]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786408; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786408']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=19786408]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19786408,"title":"Incorporating remotely sensed cloud and atmospheric thermodynamic data into a microphysically based precipitation model","internal_url":"https://www.academia.edu/19786408/Incorporating_remotely_sensed_cloud_and_atmospheric_thermodynamic_data_into_a_microphysically_based_precipitation_model","owner_id":40512138,"coauthors_can_edit":true,"owner":{"id":40512138,"first_name":"James","middle_initials":null,"last_name":"McPhee","page_name":"JamesMcPhee","domain_name":"independent","created_at":"2015-12-22T08:19:02.534-08:00","display_name":"James McPhee","url":"https://independent.academia.edu/JamesMcPhee"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786407"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/19786407/Data_Sufficiency_Assessment_and_Pumping_Test_Design_for_Groundwater_Prediction_Using_Decision_Theory_and_Genetic_Algorithms"><img alt="Research paper thumbnail of Data Sufficiency Assessment and Pumping Test Design for Groundwater Prediction Using Decision Theory and Genetic Algorithms" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/19786407/Data_Sufficiency_Assessment_and_Pumping_Test_Design_for_Groundwater_Prediction_Using_Decision_Theory_and_Genetic_Algorithms">Data Sufficiency Assessment and Pumping Test Design for Groundwater Prediction Using Decision Theory and Genetic Algorithms</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This work presents a methodology for pumping test design based on the reliability requirements of...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This work presents a methodology for pumping test design based on the reliability requirements of a groundwater model. Reliability requirements take into consideration the application of the model results in groundwater management, expressed in this case as a multiobjective management model. The pumping test design is formulated as a mixed-integer nonlinear programming (MINLP) problem and solved using a combination of genetic algorithm (GA) and gradient-based optimization. Bayesian decision theory provides a formal framework for assessing the influence of parameter uncertainty over the reliability of the proposed pumping test. The proposed methodology is useful for selecting a robust design that will outperform all other candidate designs under most potential &#39;true&#39; states of the system</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786407"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786407"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786407; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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</script> <div class="js-work-strip profile--work_container" data-work-id="19786406"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/19786406/Implementation_of_a_cloud_based_microphysical_precipitation_model_for_data_assimilation_model_formulation_and_sensitivity_analysis"><img alt="Research paper thumbnail of Implementation of a cloud-based microphysical precipitation model for data assimilation: model formulation and sensitivity analysis" class="work-thumbnail" src="https://attachments.academia-assets.com/42017967/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/19786406/Implementation_of_a_cloud_based_microphysical_precipitation_model_for_data_assimilation_model_formulation_and_sensitivity_analysis">Implementation of a cloud-based microphysical precipitation model for data assimilation: model formulation and sensitivity analysis</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this work we formulate a precipitation model driven by remotely sensed cloud microphysical par...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this work we formulate a precipitation model driven by remotely sensed cloud microphysical parameters whose primary objective is to provide a robust spatial and temporal foundation for downscaling remotely sensed precipitation data. The precipitation model is based on a documented one-dimensional physically- based precipitation model that derives liquid mass balance of a cloud layer and surface rainfall rate from thermodynamic principles and surface estimates of temperature, pressure and dewpoint temperature. We modify the original in order to use GOES-based cloud microphysical parameters obtained with the VISST/SIST algorithm, to obtain fine scale (4 x 4 km, half hourly) precipitation estimates over a spatial domain. The model is chosen for its ability to be used with remotely sensed data and its parsimony for use in probabilistic ensemble-based applications. Uncertainty in the precipitation fields can be simulated using postulated a priori probability density functions for the ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fe7f46689e8b217fad7e03dedffb5fb7" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42017967,"asset_id":19786406,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42017967/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786406"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786406"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786406; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786406]").text(description); $(".js-view-count[data-work-id=19786406]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786406; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786406']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "fe7f46689e8b217fad7e03dedffb5fb7" } } $('.js-work-strip[data-work-id=19786406]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19786406,"title":"Implementation of a cloud-based microphysical precipitation model for data assimilation: model formulation and sensitivity analysis","internal_url":"https://www.academia.edu/19786406/Implementation_of_a_cloud_based_microphysical_precipitation_model_for_data_assimilation_model_formulation_and_sensitivity_analysis","owner_id":40512138,"coauthors_can_edit":true,"owner":{"id":40512138,"first_name":"James","middle_initials":null,"last_name":"McPhee","page_name":"JamesMcPhee","domain_name":"independent","created_at":"2015-12-22T08:19:02.534-08:00","display_name":"James McPhee","url":"https://independent.academia.edu/JamesMcPhee"},"attachments":[{"id":42017967,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/42017967/thumbnails/1.jpg","file_name":"Implementation_of_a_cloud-based_microphy20160203-24379-n7yr93.pdf","download_url":"https://www.academia.edu/attachments/42017967/download_file","bulk_download_file_name":"Implementation_of_a_cloud_based_microphy.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/42017967/Implementation_of_a_cloud-based_microphy20160203-24379-n7yr93-libre.pdf?1454566362=\u0026response-content-disposition=attachment%3B+filename%3DImplementation_of_a_cloud_based_microphy.pdf\u0026Expires=1740896289\u0026Signature=MOQiZXqQT~18xQeoQvNDi5e3PiHSDUROukncoDyG7ODFVxKGtm5qy18~MY6Bc06jNugHCv3jOkI0vrPaUwiAju2UiuhQzsA9z1okPIqFas2sMWdXPz1DuhnlmI9r3V6NTX~uZe50o2ld-Av6vyxmMdkxaNniaRwBfCDnolAf1YNXM2h3VnCPxYqMgVvxFeAxw78Txg9trlDRJeIWNiDqztUmOUw78lgfaisAdkRmHUmhUKEX~nt0u7ZMRq8QKjVc1C~eIupByQ5DnB3HFJrGS5HmurMtlKs4Q3QD9~sIGyBoDkff720-X~q7BwvhqGnws2VqWV8RMGbj06kTcrjLZQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786405"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/19786405/Sustainable_Water_Resources_Management_in_a_Complex_Watershed_Under_Climate_Change_Scenarios"><img alt="Research paper thumbnail of Sustainable Water Resources Management in a Complex Watershed Under Climate Change Scenarios" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/19786405/Sustainable_Water_Resources_Management_in_a_Complex_Watershed_Under_Climate_Change_Scenarios">Sustainable Water Resources Management in a Complex Watershed Under Climate Change Scenarios</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The Aconcagua River Basin in central Chile supplies water for over one million people, high-retur...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The Aconcagua River Basin in central Chile supplies water for over one million people, high-return agriculture, mining and hydropower industries. The Aconcagua river basin has Mediterranean/semi-arid climate, its hydrologic regime varies along its path from snow- to a rainfall-dominated, and significant stream-aquifer interaction is observed throughout the river path. A complex water market operates in the Aconcagua River Basin, where private owners hold surface and subsurface water rights independently of land ownership and/or intended use. The above yield integrated watershed management critical for the sustainability of basin operations, moreover under conditions of significant precipitation interannual variability and uncertain future climatic scenarios. In this work we propose an integrated hydrologic-operational model for the Aconcagua River in order to evaluate sustainable management scenarios under conditions of climatic uncertainty. The modeling software WEAP (Water Evaluat...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786405"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786405"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786405; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786405]").text(description); $(".js-view-count[data-work-id=19786405]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786405; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786405']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=19786405]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19786405,"title":"Sustainable Water Resources Management in a Complex Watershed Under Climate Change Scenarios","internal_url":"https://www.academia.edu/19786405/Sustainable_Water_Resources_Management_in_a_Complex_Watershed_Under_Climate_Change_Scenarios","owner_id":40512138,"coauthors_can_edit":true,"owner":{"id":40512138,"first_name":"James","middle_initials":null,"last_name":"McPhee","page_name":"JamesMcPhee","domain_name":"independent","created_at":"2015-12-22T08:19:02.534-08:00","display_name":"James McPhee","url":"https://independent.academia.edu/JamesMcPhee"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786404"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/19786404/Forest_Management_Influence_On_Hydric_Production_in_a_Temperate_Rain_Forest_a_Comparative_Study_of_Small_Watersheds"><img alt="Research paper thumbnail of Forest Management Influence On Hydric Production in a Temperate Rain Forest: a Comparative Study of Small Watersheds" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/19786404/Forest_Management_Influence_On_Hydric_Production_in_a_Temperate_Rain_Forest_a_Comparative_Study_of_Small_Watersheds">Forest Management Influence On Hydric Production in a Temperate Rain Forest: a Comparative Study of Small Watersheds</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this work we compare hydric production between two micro-watersheds (surface area less than 10...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this work we compare hydric production between two micro-watersheds (surface area less than 10 hectares) covered with Nothofagus oblicua and Nothofagus alpina saplings. One of the watersheds was subject to management by thinning on 2002, and contains 23% less trees, which is equivalent to 33% less basal surface respect to the unmanaged control basin. It is expected that differences be solely related to land use differences given that both watersheds have similar geomorphology. Four years (April 2003 through Jun 2007) of hourly streamflow and precipitation data collected on each watershed are analyzed by separating base flow and direct runoff for specific storms selected to represent different conditions of initial soil moisture. Several hydrograph- separation algorithms are tested in order to increase the robustness of our conclusions. Variations in rainfall- runoff coefficients are analyzed in relation to differences in soil cover and antecedent moisture. Preliminary results sho...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786404"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786404"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786404; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786404]").text(description); $(".js-view-count[data-work-id=19786404]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786404; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786404']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=19786404]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19786404,"title":"Forest Management Influence On Hydric Production in a Temperate Rain Forest: a Comparative Study of Small Watersheds","internal_url":"https://www.academia.edu/19786404/Forest_Management_Influence_On_Hydric_Production_in_a_Temperate_Rain_Forest_a_Comparative_Study_of_Small_Watersheds","owner_id":40512138,"coauthors_can_edit":true,"owner":{"id":40512138,"first_name":"James","middle_initials":null,"last_name":"McPhee","page_name":"JamesMcPhee","domain_name":"independent","created_at":"2015-12-22T08:19:02.534-08:00","display_name":"James McPhee","url":"https://independent.academia.edu/JamesMcPhee"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786403"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/19786403/Hydrosystems_Modeling_in_an_Andean_River_Basin_Under_Development_and_Climate_Change_Scenarios"><img alt="Research paper thumbnail of Hydrosystems Modeling in an Andean River Basin Under Development and Climate Change Scenarios" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/19786403/Hydrosystems_Modeling_in_an_Andean_River_Basin_Under_Development_and_Climate_Change_Scenarios">Hydrosystems Modeling in an Andean River Basin Under Development and Climate Change Scenarios</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The Aconcagua river basin is located in the central zone of Chile, has a Mediterranean-type clima...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The Aconcagua river basin is located in the central zone of Chile, has a Mediterranean-type climate, and its runoff regime is markedly nivo-pluvial. Water main users include agriculture, mining, hydropower, industry and domestic supply. Rapid growth of land use for high-value crop agriculture and countrywide expansion of power demand has increased pressure over water resources in the Basin. On the other hand, integrated management of watershed resources is complicated by the fact that in Chile water rights become private property once allocated. This work demonstrates the development of a hydrologic-operational simulation model for the Aconcagua River Basin using the Water Evaluation and Plannning (WEAP) System, which allows to integrate diverse uses of the river basin and varied scenarios of development as well as hydrologic conditions. The proposed model is used to evaluate the performance of several development strategies with respect to stakeholders preferences, including infras...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786403"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786403"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786403; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786403]").text(description); $(".js-view-count[data-work-id=19786403]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786403; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786403']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=19786403]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19786403,"title":"Hydrosystems Modeling in an Andean River Basin Under Development and Climate Change Scenarios","internal_url":"https://www.academia.edu/19786403/Hydrosystems_Modeling_in_an_Andean_River_Basin_Under_Development_and_Climate_Change_Scenarios","owner_id":40512138,"coauthors_can_edit":true,"owner":{"id":40512138,"first_name":"James","middle_initials":null,"last_name":"McPhee","page_name":"JamesMcPhee","domain_name":"independent","created_at":"2015-12-22T08:19:02.534-08:00","display_name":"James McPhee","url":"https://independent.academia.edu/JamesMcPhee"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786402"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/19786402/Evaluation_of_ensemble_flow_forecasts_generated_through_a_distributed_hydrological_model_and_data_assimilation"><img alt="Research paper thumbnail of Evaluation of ensemble flow forecasts generated through a distributed hydrological model and data assimilation" class="work-thumbnail" src="https://attachments.academia-assets.com/42017974/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/19786402/Evaluation_of_ensemble_flow_forecasts_generated_through_a_distributed_hydrological_model_and_data_assimilation">Evaluation of ensemble flow forecasts generated through a distributed hydrological model and data assimilation</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper focuses on the application of Topnet, a physically based distributed hydrological mode...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper focuses on the application of Topnet, a physically based distributed hydrological model, for real - time flood forecasting purposes. The area of interest is the Cautin River basin, located in Southern Chile (38° 29&#39; S and 72° 00&#39; W). The catchment area is 2688 km2 and the annual mean rainfall is 2346 mm. After calibration, the model is able to reproduce hourly streamflow at the basin outlet successfully. However, it is impossible to get reliable simulations for all flood events analyzed using the same set of parameters. In order to reduce model uncertainty, an ensemble Kalman filter implementation was calibrated and applied, demonstrating that model simulations can improve significantly. Furthermore, Talagrand histograms and Q-Q plots indicate that it is possible to get good ensemble properties in a rainy period. Model calibration and assimilation results suggest that lack of information about the spatial variability of model parameters hinders our ability to obta...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b685dc77989a25b15802e20e84a730cb" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42017974,"asset_id":19786402,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42017974/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786402"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786402"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786402; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786402]").text(description); $(".js-view-count[data-work-id=19786402]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786402; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786402']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b685dc77989a25b15802e20e84a730cb" } } $('.js-work-strip[data-work-id=19786402]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19786402,"title":"Evaluation of ensemble flow forecasts generated through a distributed hydrological model and data assimilation","internal_url":"https://www.academia.edu/19786402/Evaluation_of_ensemble_flow_forecasts_generated_through_a_distributed_hydrological_model_and_data_assimilation","owner_id":40512138,"coauthors_can_edit":true,"owner":{"id":40512138,"first_name":"James","middle_initials":null,"last_name":"McPhee","page_name":"JamesMcPhee","domain_name":"independent","created_at":"2015-12-22T08:19:02.534-08:00","display_name":"James McPhee","url":"https://independent.academia.edu/JamesMcPhee"},"attachments":[{"id":42017974,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/42017974/thumbnails/1.jpg","file_name":"Evaluation_of_ensemble_flow_forecasts_ge20160203-18391-tcb2xt.pdf","download_url":"https://www.academia.edu/attachments/42017974/download_file","bulk_download_file_name":"Evaluation_of_ensemble_flow_forecasts_ge.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/42017974/Evaluation_of_ensemble_flow_forecasts_ge20160203-18391-tcb2xt-libre.pdf?1454566361=\u0026response-content-disposition=attachment%3B+filename%3DEvaluation_of_ensemble_flow_forecasts_ge.pdf\u0026Expires=1740896289\u0026Signature=cJkWOJrNEY~nzFPU1511Ip~37WB6fXgI6A-iP-9qbCb-VVsH~AgnGAtgfn3IwOYL6eP5B3etbR6uyO-eGlwx9aqy~tTlf7yYnWhcg8gVaSyXHPdyrEGAEliTEolBFHDsj9S6flN4VwvDbuulSfB2gKs~C83bjmNF4O9nuMWWDlMflpIDevMJcCmUo0-cj6Ni3B5XdFn9ceoQTiDpCVLajXtoydM3A3LnU9kZpr6XxBpSE7XnB2D-Y-5A8x6xrKLildJRRvk4D7su4qDhWHUbKlmFSARF4HzYZ7ipYOOh4wMz2y1P3SIqrw16akats5ol7-~CpYFuwhUpSjbjBdsl~A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786401"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/19786401/A_Landslide_Prediction_System_for_a_Sparsely_Monitored_High_Mountain_Region"><img alt="Research paper thumbnail of A Landslide Prediction System for a Sparsely Monitored High Mountain Region" class="work-thumbnail" src="https://attachments.academia-assets.com/42017941/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/19786401/A_Landslide_Prediction_System_for_a_Sparsely_Monitored_High_Mountain_Region">A Landslide Prediction System for a Sparsely Monitored High Mountain Region</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The aim of this paper is to improve the understanding of hydrological processes involved in the o...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The aim of this paper is to improve the understanding of hydrological processes involved in the occurrence of hillslope failure in sparsely monitored Andean regions. Hence, we test a landslide prediction system, based on a semi-distributed hydrological model and slope instability analysis, in an ungauged, small high mountain catchment located in Central Chile (34o 04&#39; S and 70o 23&#39; W). Although our forecasting system correctly predicts landslide events that happened in the last years, it tends to generate false alarms at the beginning of the melt season because of little underestimation of the factor of safety. Therefore, we can establish two kinds of slope instabilities depending on the phenomena implicated: i) instabilities due to heavy rainfall at the beginning of the rainy season, with the 0o C isotherm elevation above 3,000 meters, and ii) instabilities associated to a significant rise of air temperature, inducing successive increases of snowmelt, soil moisture content ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="2f1df5b7f9a7681491d54350079d76bb" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42017941,"asset_id":19786401,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42017941/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786401"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786401"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786401; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786400"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/19786400/Towards_Management_and_Regulation_of_Gravel_Mining_in_Urban_Areas_of_Santiago_Chile_Analysis_of_the_sediment_budget_in_Maipo_River"><img alt="Research paper thumbnail of Towards Management and Regulation of Gravel Mining in Urban Areas of Santiago, Chile: Analysis of the sediment budget in Maipo River" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/19786400/Towards_Management_and_Regulation_of_Gravel_Mining_in_Urban_Areas_of_Santiago_Chile_Analysis_of_the_sediment_budget_in_Maipo_River">Towards Management and Regulation of Gravel Mining in Urban Areas of Santiago, Chile: Analysis of the sediment budget in Maipo River</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Gravel extraction from a natural streambed combined with changes in water resource usage may indu...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Gravel extraction from a natural streambed combined with changes in water resource usage may induce modifications of a stream&#39;s sediment transport characteristics. Reduced transport capacity and river bed overdraft can bring a system off its natural equilibrium, resulting in decreased sediment replacement rates downstream from the extraction area, which in turn may affect civil works founded in the river bed, as well as water catchment infrastructure designed upon minimum river stages. This work presents a methodology for estimating sediment production rates in the Maipo river (Central Chile) by means of a sediment transport simulation model and field data representative of current sediment and water use/extraction rates. The model is used to evaluate changes in sediment availability due to changes in gravel extraction rates and water use upstream of the urban area of Santiago. A first step toward integrated water and sediment management is proposed by means of coupling a manage...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786400"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786400"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786400; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786400]").text(description); 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</script> <div class="js-work-strip profile--work_container" data-work-id="19786399"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/19786399/Physically_Based_Mountain_Hydrological_Modeling_Using_Reanalysis_Data_in_Patagonia"><img alt="Research paper thumbnail of Physically Based Mountain Hydrological Modeling Using Reanalysis Data in Patagonia" class="work-thumbnail" src="https://attachments.academia-assets.com/42017971/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/19786399/Physically_Based_Mountain_Hydrological_Modeling_Using_Reanalysis_Data_in_Patagonia">Physically Based Mountain Hydrological Modeling Using Reanalysis Data in Patagonia</a></div><div class="wp-workCard_item"><span>Journal of Hydrometeorology</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A physically based hydrological model for the upper Baker River basin (UBRB) in Patagonia was dev...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A physically based hydrological model for the upper Baker River basin (UBRB) in Patagonia was developed using the modular Cold Regions Hydrological Model (CRHM) in order to better understand the processes that drive the hydrological response of one of the largest rivers in this region. The model includes a full suite of blowing snow, intercepted snow, and energy balance snowmelt modules that can be used to describe the hydrology of this cold region. Within this watershed, snowfall, wind speed, and radiation are not measured; there are no high-elevation weather stations; and existing weather stations are sparsely distributed. The impact of atmospheric data from ECMWF interim reanalysis (ERA-Interim) and Climate Forecast System Reanalysis (CFSR) on improving model performance by enhancing the representation of forcing variables was evaluated. CRHM parameters were assigned for local physiographic and vegetation characteristics based on satellite land cover classification, a digital elevation model, and parameter transfer from cold region environments in western Canada. It was found that observed precipitation has almost no predictive power [Nash-Sutcliffe coefficient (NS) , 0.3] when used to force the hydrologic model, whereas model performance using any of the reanalysis products-after bias correction-was acceptable with very little calibration (NS . 0.7). The modeled water balance shows that snowfall amounts to about 28% of the total precipitation and that 26% of total river flow stems from snowmelt. Evapotranspiration losses account for 7.2% of total precipitation, whereas sublimation and canopy interception losses represent about 1%. The soil component is the dominant modulator of runoff, with infiltration contributing as much as 73.7% to total basin outflow.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="acedcbab7c77852eb1d118e7ba30bd16" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42017971,"asset_id":19786399,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42017971/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786399"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786399"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786399; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786399]").text(description); $(".js-view-count[data-work-id=19786399]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786399; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786399']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "acedcbab7c77852eb1d118e7ba30bd16" } } $('.js-work-strip[data-work-id=19786399]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19786399,"title":"Physically Based Mountain Hydrological Modeling Using Reanalysis Data in Patagonia","internal_url":"https://www.academia.edu/19786399/Physically_Based_Mountain_Hydrological_Modeling_Using_Reanalysis_Data_in_Patagonia","owner_id":40512138,"coauthors_can_edit":true,"owner":{"id":40512138,"first_name":"James","middle_initials":null,"last_name":"McPhee","page_name":"JamesMcPhee","domain_name":"independent","created_at":"2015-12-22T08:19:02.534-08:00","display_name":"James McPhee","url":"https://independent.academia.edu/JamesMcPhee"},"attachments":[{"id":42017971,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/42017971/thumbnails/1.jpg","file_name":"Physically_Based_Mountain_Hydrological_M20160203-19126-acxe8l.pdf","download_url":"https://www.academia.edu/attachments/42017971/download_file","bulk_download_file_name":"Physically_Based_Mountain_Hydrological_M.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/42017971/Physically_Based_Mountain_Hydrological_M20160203-19126-acxe8l-libre.pdf?1454566364=\u0026response-content-disposition=attachment%3B+filename%3DPhysically_Based_Mountain_Hydrological_M.pdf\u0026Expires=1740896290\u0026Signature=Yjd7yW0XuYuL8XQdvJQRSByG~S7qliyxB1tjKWZ2lXTrb~mniA4jh8DN6IU2YFL8m3c9Kek62KngsLMNAFmP-l-4hFxXoxOcF4DHvt6BDhM5P3QpgTJWZgcZAhmJnQFjRHrymZVrENh~Zh0FtvgtoSDbsDQneatuAicN7qmONxVt23BAWhcBah4mjwXktN4So5~IWJJmTOOc6RVw-DwOVCUNIjDAjbC7aGIBeNo5jEOY6xCb-al2NFhAVdyKe4G8g3uxTk6RsZaMX56Wo7CoEXOjN2FsV2RtepZsly7Txim4zUM-dytpQeIxU8wTEPrHWtjBi1phWK8amWyjBG9~zg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786398"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/19786398/Adaptation_to_climate_changes_on_a_multipurpose_hydrosystem_in_South_Central_Chile_with_explicit_regard_of_model_uncertainty"><img alt="Research paper thumbnail of Adaptation to climate changes on a multipurpose hydrosystem in South-Central Chile with explicit regard of model uncertainty" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/19786398/Adaptation_to_climate_changes_on_a_multipurpose_hydrosystem_in_South_Central_Chile_with_explicit_regard_of_model_uncertainty">Adaptation to climate changes on a multipurpose hydrosystem in South-Central Chile with explicit regard of model uncertainty</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Decision-making in the agricultural and hydropower sectors can benefit from water resources avail...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Decision-making in the agricultural and hydropower sectors can benefit from water resources availability projections that take into account uncertainty in a meaningful way. In this work we use statistically downscaled projections of 12 general circulation models under 3 emissions scenarios to drive a hydrologic-operational model of the upper Laja river basin in south-central Chile. The Laja hydrosystem is characterized by a large natural reservoir of 5600 Hm3 that is used for agricultural purposes in the lower basin and as the cornerstone of hydroelectric supply for the entire central Chilean electric system. The upper Laja river basin is snowmelt driven so water resources are very sensitive to both precipitation and temperature. Using each future projected series as an independent observation, empirical probability distributions are calculated for hydro-meteorological and operational variables such as reservoir levels and energy production. By the end of the 21st century, the mean ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786398"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786398"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786398; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786398]").text(description); $(".js-view-count[data-work-id=19786398]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786398; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786398']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=19786398]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19786398,"title":"Adaptation to climate changes on a multipurpose hydrosystem in South-Central Chile with explicit regard of model uncertainty","internal_url":"https://www.academia.edu/19786398/Adaptation_to_climate_changes_on_a_multipurpose_hydrosystem_in_South_Central_Chile_with_explicit_regard_of_model_uncertainty","owner_id":40512138,"coauthors_can_edit":true,"owner":{"id":40512138,"first_name":"James","middle_initials":null,"last_name":"McPhee","page_name":"JamesMcPhee","domain_name":"independent","created_at":"2015-12-22T08:19:02.534-08:00","display_name":"James McPhee","url":"https://independent.academia.edu/JamesMcPhee"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786397"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/19786397/Projected_Changes_In_The_Water_Cycle_Of_The_Extratropical_Western_Andes_Under_Climate_Change_Scenarios"><img alt="Research paper thumbnail of Projected Changes In The Water Cycle Of The Extratropical Western Andes Under Climate Change Scenarios" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/19786397/Projected_Changes_In_The_Water_Cycle_Of_The_Extratropical_Western_Andes_Under_Climate_Change_Scenarios">Projected Changes In The Water Cycle Of The Extratropical Western Andes Under Climate Change Scenarios</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This work presents an analysis of the hydrological vulnerability of several economically importan...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This work presents an analysis of the hydrological vulnerability of several economically important watersheds in Central Chile to changes in climate. The study area spans the ecoregion between 30° and 38° S along the western slope of the Andes Cordillera, a transition zone in which the maximum elevation of this mountain range decreases from more than 6000 to roughly 3000 masl. This region also harbors more than half of Chile&#39;s population, in addition to almost its entire irrigated agricultural activity and hydropower production. Climate simulations from the HadCM3 global circulation model (A2 Scenario) project a significant decrease in annual precipitation toward the end of the XXI century, and warming amounts of more than 2° C in some areas. These projections are downscaled using a deterministic technique designed to preserve the distribution properties of observed precipitation and temperature in the region. The WEAP hydrologic model is driven with these climate projections an...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786397"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786397"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786397; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786397]").text(description); $(".js-view-count[data-work-id=19786397]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786397; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786397']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=19786397]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19786397,"title":"Projected Changes In The Water Cycle Of The Extratropical Western Andes Under Climate Change Scenarios","internal_url":"https://www.academia.edu/19786397/Projected_Changes_In_The_Water_Cycle_Of_The_Extratropical_Western_Andes_Under_Climate_Change_Scenarios","owner_id":40512138,"coauthors_can_edit":true,"owner":{"id":40512138,"first_name":"James","middle_initials":null,"last_name":"McPhee","page_name":"JamesMcPhee","domain_name":"independent","created_at":"2015-12-22T08:19:02.534-08:00","display_name":"James McPhee","url":"https://independent.academia.edu/JamesMcPhee"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786396"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/19786396/Modelling_Snow_Hydrology_Processes_in_the_Mountains_of_Patagonia_using_CFSR_Reanalysis_Data"><img alt="Research paper thumbnail of Modelling Snow Hydrology Processes in the Mountains of Patagonia using CFSR Reanalysis Data" class="work-thumbnail" src="https://attachments.academia-assets.com/42018081/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/19786396/Modelling_Snow_Hydrology_Processes_in_the_Mountains_of_Patagonia_using_CFSR_Reanalysis_Data">Modelling Snow Hydrology Processes in the Mountains of Patagonia using CFSR Reanalysis Data</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Remote regions in South America are often characterized by insufficient observations of meteorolo...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Remote regions in South America are often characterized by insufficient observations of meteorology for reliable hydrological model operation. Yet water resources must be quantified, understood and predicted in order to develop effective water management policies, and the snowy mountains of Patagonia are no exception. Key hydrological processes that govern streamflow generation here are snow accumulation, redistribution and melt at high elevations. In order to better represent these processes, physically based equations have been successfully developed and incorporated into hydrological models, but the models require accurate meteorological forcing to operate. To compensate for the lack of surface observations in this region, numerical weather prediction model reanalysis products have become a potentially useful tool to drive physically based hydrological models. The NCEP-NCAR Climate Forecast System Reanalysis (CFSR) is an advanced model with realistic representation of atmospheric...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0445295c87ca21ef5dbecb8f01c75dce" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42018081,"asset_id":19786396,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42018081/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786396"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786396"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786396; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786396]").text(description); $(".js-view-count[data-work-id=19786396]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786396; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786396']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "0445295c87ca21ef5dbecb8f01c75dce" } } $('.js-work-strip[data-work-id=19786396]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19786396,"title":"Modelling Snow Hydrology Processes in the Mountains of Patagonia using CFSR Reanalysis Data","internal_url":"https://www.academia.edu/19786396/Modelling_Snow_Hydrology_Processes_in_the_Mountains_of_Patagonia_using_CFSR_Reanalysis_Data","owner_id":40512138,"coauthors_can_edit":true,"owner":{"id":40512138,"first_name":"James","middle_initials":null,"last_name":"McPhee","page_name":"JamesMcPhee","domain_name":"independent","created_at":"2015-12-22T08:19:02.534-08:00","display_name":"James McPhee","url":"https://independent.academia.edu/JamesMcPhee"},"attachments":[{"id":42018081,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/42018081/thumbnails/1.jpg","file_name":"Modelling_Snow_Hydrology_Processes_in_th20160203-16483-19brwpu.pdf","download_url":"https://www.academia.edu/attachments/42018081/download_file","bulk_download_file_name":"Modelling_Snow_Hydrology_Processes_in_th.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/42018081/Modelling_Snow_Hydrology_Processes_in_th20160203-16483-19brwpu-libre.pdf?1454566392=\u0026response-content-disposition=attachment%3B+filename%3DModelling_Snow_Hydrology_Processes_in_th.pdf\u0026Expires=1740896290\u0026Signature=LO3T9olYvHOvfq5SapGaQd39eZAykNwsYm-laiDtcp9y3yxssyg7FGhleSe6c5036wcy5lbOOhbZNByeDd-zazhe6YN98pJe67yWrFJ~kr6z3ssThztWmUtohvNHk~XlX8pYxOV-KgeYJxbPyyKItD-oNFhn0qrewFm326wCIgDa5BblWX7SYlXUi84gcFmnd9lBBeNP1dbeTSFf1bb1UeZWCdBY4a2-Is0cFd9avnABpgU~Gpddpvehzn~hfcDycOrYdFfdEOIwFIO794EGtVVwAgHTXF3eT8KG9t36yDKFgPj3S-xT8vE6-3PApjl9mJjq6bFhhoX4c53tl7nYtw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786395"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/19786395/Near_surface_temperature_lapse_rates_in_a_mountainous_catchment_in_the_Chilean_Andes"><img alt="Research paper thumbnail of Near-surface temperature lapse rates in a mountainous catchment in the Chilean Andes" class="work-thumbnail" src="https://attachments.academia-assets.com/42017950/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/19786395/Near_surface_temperature_lapse_rates_in_a_mountainous_catchment_in_the_Chilean_Andes">Near-surface temperature lapse rates in a mountainous catchment in the Chilean Andes</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In mountainous areas, and in the Chilean Andes in particular, the irregular and sparse distributi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In mountainous areas, and in the Chilean Andes in particular, the irregular and sparse distribution of recording stations resolves insufficiently the variability of climatic factors such as precipitation, temperature and relative humidity. Assumptions about air temperature variability in space and time have a strong effect on the performance of hydrologic models that represent snow processes such as accumulation and ablation. These processes have large diurnal variations, and assumptions that average over longer time periods (days, weeks or months) may reduce the predictive capacity of these models under different climatic conditions from those for which they were calibrated. They also introduce large uncertainties when such models are used to predict processes with strong subdiurnal variability such as snowmelt dynamics. In many applications and modeling exercises, temperature is assumed to decrease linearly with elevation, using the free-air moist adiabatic lapse rate (MALR: 0.006...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="81225ed9398a6d606a63371f0d0ef649" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42017950,"asset_id":19786395,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42017950/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786395"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786395"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786395; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786394"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/19786394/Defining_sources_and_evolution_of_discharge_in_Central_Andean_snowmelt_dominated_watersheds"><img alt="Research paper thumbnail of Defining sources and evolution of discharge in Central Andean snowmelt-dominated watersheds" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/19786394/Defining_sources_and_evolution_of_discharge_in_Central_Andean_snowmelt_dominated_watersheds">Defining sources and evolution of discharge in Central Andean snowmelt-dominated watersheds</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/JamesMcPhee">James McPhee</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/NilsOhlanders">Nils Ohlanders</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Fresh water resources in the semi-arid region of Central Chile are highly limited and derived mai...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Fresh water resources in the semi-arid region of Central Chile are highly limited and derived mainly from snow and glacial melt. Moreover, the contribution of each of these two sources are poorly known. This results partly from little and unreliable information on precipitation lapse rate in the high Andes and therefore the water equivalent of high elevation snowpacks. On the other hand, discharge data from a fairly large net of high elevation stream gauging stations is available. A tracer that is able to distinguish snow- and glacier melt -e.g. stable water isotopes- would therefore be useful for estimating the size and melt evolution of snowpacks. Another largely unexplored factor in the hydrology of Central Andean catchments is the timing and effect of subsurface storage and flowpaths, potentially causing a significant lag between melt of snow and ice and runoff at the basin outlets. Estimations of mean snowmelt transit times may also be obtained from stable water isotope data. I...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786394"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786394"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786394; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786394]").text(description); $(".js-view-count[data-work-id=19786394]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786394; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786394']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=19786394]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19786394,"title":"Defining sources and evolution of discharge in Central Andean snowmelt-dominated watersheds","internal_url":"https://www.academia.edu/19786394/Defining_sources_and_evolution_of_discharge_in_Central_Andean_snowmelt_dominated_watersheds","owner_id":40512138,"coauthors_can_edit":true,"owner":{"id":40512138,"first_name":"James","middle_initials":null,"last_name":"McPhee","page_name":"JamesMcPhee","domain_name":"independent","created_at":"2015-12-22T08:19:02.534-08:00","display_name":"James McPhee","url":"https://independent.academia.edu/JamesMcPhee"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786392"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/19786392/Perspectives_on_endovascular_training_in_traditional_5_2_vascular_surgery_fellowship_training_programs"><img alt="Research paper thumbnail of Perspectives on endovascular training in traditional 5+2 vascular surgery fellowship training programs" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/19786392/Perspectives_on_endovascular_training_in_traditional_5_2_vascular_surgery_fellowship_training_programs">Perspectives on endovascular training in traditional 5+2 vascular surgery fellowship training programs</a></div><div class="wp-workCard_item"><span>Vascular</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study aimed to compare expectations and experiences of fellows to those of faculty in vascul...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This study aimed to compare expectations and experiences of fellows to those of faculty in vascular surgery fellowship programs with regard to endovascular training. Anonymous surveys were sent to fellows (n = 235) and program directors (n = 147), with 79 fellows and 65 faculty members responding. Fellows noted higher expectations of their endovascular skills prior to starting fellowship than the faculty group reported expecting. Faculty assessed fellows&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39; pre-training endovascular skills at a significantly lower level than the fellows&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39; self-assessment. Fellows were significantly less satisfied with the structured aspects of endovascular training than the faculty believed them to be. Only 3% of fellows vs. 32% of faculty felt that the presence of an endovascular simulator affected how residents ranked fellowship programs during the match. In conclusion, incoming fellows in vascular surgery fellowship programs have high expectations of themselves, but may overestimate their actual pre-training endovascular skills. Fellows desire more structured endovascular training, which is not recognized by faculty. Endovascular simulators are valued, but may not be a significant draw in the match process.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786392"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786392"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786392; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786392]").text(description); $(".js-view-count[data-work-id=19786392]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786392; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786392']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=19786392]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19786392,"title":"Perspectives on endovascular training in traditional 5+2 vascular surgery fellowship training programs","internal_url":"https://www.academia.edu/19786392/Perspectives_on_endovascular_training_in_traditional_5_2_vascular_surgery_fellowship_training_programs","owner_id":40512138,"coauthors_can_edit":true,"owner":{"id":40512138,"first_name":"James","middle_initials":null,"last_name":"McPhee","page_name":"JamesMcPhee","domain_name":"independent","created_at":"2015-12-22T08:19:02.534-08:00","display_name":"James McPhee","url":"https://independent.academia.edu/JamesMcPhee"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786391"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/19786391/Comparison_of_modeling_approaches_in_assessing_hydrologic_processes_in_a_high_elevation_semi_arid_Andean_watershed"><img alt="Research paper thumbnail of Comparison of modeling approaches in assessing hydrologic processes in a high elevation, semi-arid Andean watershed" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/19786391/Comparison_of_modeling_approaches_in_assessing_hydrologic_processes_in_a_high_elevation_semi_arid_Andean_watershed">Comparison of modeling approaches in assessing hydrologic processes in a high elevation, semi-arid Andean watershed</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Hydrological processes in high-elevation watersheds are difficult to quantify and study because o...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Hydrological processes in high-elevation watersheds are difficult to quantify and study because of data scarcity, accessibility difficulties and complex topography. These issues are especially significant in the Chilean Andes, where meteorological and streamflow networks are sparse. Hydrological models may provide a useful tool for the study of these watersheds as they provide insight into the main catchment dynamics and responses to climatic forcings; these insights are especially valuable in a context of changing climate, where historical relationships between hydrometeorogical variables may not hold in the future. In this work we use three hydrologic models of varying complexity to study the Juncal river basin (33S, 70W; 3500 masl): a conceptual semi-distributed model based on elevation bands (WEAP), a physically based semi-distributed model based on a subcatchment network within the main basin (TopNET), and a physically based, gridded fully-distributed model (TopKAPI). Daily str...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786391"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786391"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786391; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786391]").text(description); $(".js-view-count[data-work-id=19786391]").attr('title', description).tooltip(); 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=19786391]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19786391,"title":"Comparison of modeling approaches in assessing hydrologic processes in a high elevation, semi-arid Andean watershed","internal_url":"https://www.academia.edu/19786391/Comparison_of_modeling_approaches_in_assessing_hydrologic_processes_in_a_high_elevation_semi_arid_Andean_watershed","owner_id":40512138,"coauthors_can_edit":true,"owner":{"id":40512138,"first_name":"James","middle_initials":null,"last_name":"McPhee","page_name":"JamesMcPhee","domain_name":"independent","created_at":"2015-12-22T08:19:02.534-08:00","display_name":"James McPhee","url":"https://independent.academia.edu/JamesMcPhee"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786390"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/19786390/Hydrological_models_and_data_scarcity_on_the_quest_for_a_model_structure_appropriate_for_modeling_water_availability_under_the_present_and_future_climate"><img alt="Research paper thumbnail of Hydrological models and data scarcity: on the quest for a model structure appropriate for modeling water availability under the present and future climate" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/19786390/Hydrological_models_and_data_scarcity_on_the_quest_for_a_model_structure_appropriate_for_modeling_water_availability_under_the_present_and_future_climate">Hydrological models and data scarcity: on the quest for a model structure appropriate for modeling water availability under the present and future climate</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Hydrological models provide a useful tool to quantify the water balance components of watersheds ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Hydrological models provide a useful tool to quantify the water balance components of watersheds where data for calibration and validation are available. Modeling of hydrological processes in high-elevation watersheds is affected by additional uncertainty due to the complexity of the process spatial variations and low data availability. The scarcity of information about groundwater, the magnitude of evapotranspiration, snow- and glacier melt at high elevation and the absence of long term meteorological data constrain the predictive skills and accuracy of hydrological models. It is not clear what type of model structure is more appropriate for these types of applications; whether physically-based or conceptual models, given the complex interplay of contrasting factors playing a role. This issue is significant in the snow and glacier dominated central Andes of Chile, where water resources originate from snow and icemelt, meteorological and streamflow networks are scarce but prediction...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786390"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786390"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786390; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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} }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786389"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/19786389/Evidence_of_climate_change_in_streamflow_timing_in_the_western_slope_of_the_Southern_Andes_Cordillera_during_the_1961_2006_period"><img alt="Research paper thumbnail of Evidence of climate change in streamflow timing in the western slope of the Southern Andes Cordillera during the 1961--2006 period" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/19786389/Evidence_of_climate_change_in_streamflow_timing_in_the_western_slope_of_the_Southern_Andes_Cordillera_during_the_1961_2006_period">Evidence of climate change in streamflow timing in the western slope of the Southern Andes Cordillera during the 1961--2006 period</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786389"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786389"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786389; 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</script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="4297716" id="papers"><div class="js-work-strip profile--work_container" data-work-id="19786409"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/19786409/Climate_change_impacts_on_the_hydrology_of_a_snowmelt_driven_basin_in_semiarid_Chile"><img alt="Research paper thumbnail of Climate change impacts on the hydrology of a snowmelt driven basin in semiarid Chile" class="work-thumbnail" src="https://attachments.academia-assets.com/42017947/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/19786409/Climate_change_impacts_on_the_hydrology_of_a_snowmelt_driven_basin_in_semiarid_Chile">Climate change impacts on the hydrology of a snowmelt driven basin in semiarid Chile</a></div><div class="wp-workCard_item"><span>Climatic Change</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this paper we present an analysis of the direct impacts of climate change on the hydrology of ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this paper we present an analysis of the direct impacts of climate change on the hydrology of the upper watersheds (range in elevation from 1,000 to 5,500 m above sea level) of the snowmelt-driven Limarí river basin, located in north-central Chile (30 • S, 70 • W). A climate-driven hydrology and water resources model was calibrated using meteorological and streamflow observations and later forced by a baseline and two climate change projections (A2, B2) that show an increase in temperature of about 3-4 • C and a reduction in precipitation of 10-30% with respect to baseline. The results show that annual mean streamflow decreases more than the projected rainfall decrease because a warmer climate also enhances water losses to evapotranspiration. Also in future climate, the seasonal maximum streamflow tends to occur earlier than in current conditions, because of the increase in temperature during spring/summer and the lower snow accumulation in winter.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b95a074cd569c375c4620afb962a3c8d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42017947,"asset_id":19786409,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42017947/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786409"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786409"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786409; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786408"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/19786408/Incorporating_remotely_sensed_cloud_and_atmospheric_thermodynamic_data_into_a_microphysically_based_precipitation_model"><img alt="Research paper thumbnail of Incorporating remotely sensed cloud and atmospheric thermodynamic data into a microphysically based precipitation model" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/19786408/Incorporating_remotely_sensed_cloud_and_atmospheric_thermodynamic_data_into_a_microphysically_based_precipitation_model">Incorporating remotely sensed cloud and atmospheric thermodynamic data into a microphysically based precipitation model</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this work we formulate a precipitation model driven by remotely sensed cloud microphysical par...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this work we formulate a precipitation model driven by remotely sensed cloud microphysical parameters and atmospheric thermodynamic structure. The primary objective in developing the model is to retain a simple structure capable of easily generating ensemble fields of precipitation at relatively high spatial and temporal resolution. The motivation for doing so is to ultimately use the model in a data assimilation framework. The precipitation model is based on a one-dimensional conceptualization of an atmospheric column that derives the liquid mass balance of a cloud layer and surface rainfall rate from thermodynamic principles and state-of-the-art and readily available satellite information. Specifically, cloud microphysical parameters obtained from the VISST/SIST algorithm include cloud top and base pressure, liquid and ice water content, and characteristic hydrometeor size, and are used to estimate precipitation leaving the cloud base. Profiles of atmospheric temperature and hu...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786408"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786408"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786408; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786408]").text(description); $(".js-view-count[data-work-id=19786408]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786408; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786408']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=19786408]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19786408,"title":"Incorporating remotely sensed cloud and atmospheric thermodynamic data into a microphysically based precipitation model","internal_url":"https://www.academia.edu/19786408/Incorporating_remotely_sensed_cloud_and_atmospheric_thermodynamic_data_into_a_microphysically_based_precipitation_model","owner_id":40512138,"coauthors_can_edit":true,"owner":{"id":40512138,"first_name":"James","middle_initials":null,"last_name":"McPhee","page_name":"JamesMcPhee","domain_name":"independent","created_at":"2015-12-22T08:19:02.534-08:00","display_name":"James McPhee","url":"https://independent.academia.edu/JamesMcPhee"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786407"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/19786407/Data_Sufficiency_Assessment_and_Pumping_Test_Design_for_Groundwater_Prediction_Using_Decision_Theory_and_Genetic_Algorithms"><img alt="Research paper thumbnail of Data Sufficiency Assessment and Pumping Test Design for Groundwater Prediction Using Decision Theory and Genetic Algorithms" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/19786407/Data_Sufficiency_Assessment_and_Pumping_Test_Design_for_Groundwater_Prediction_Using_Decision_Theory_and_Genetic_Algorithms">Data Sufficiency Assessment and Pumping Test Design for Groundwater Prediction Using Decision Theory and Genetic Algorithms</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This work presents a methodology for pumping test design based on the reliability requirements of...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This work presents a methodology for pumping test design based on the reliability requirements of a groundwater model. Reliability requirements take into consideration the application of the model results in groundwater management, expressed in this case as a multiobjective management model. The pumping test design is formulated as a mixed-integer nonlinear programming (MINLP) problem and solved using a combination of genetic algorithm (GA) and gradient-based optimization. Bayesian decision theory provides a formal framework for assessing the influence of parameter uncertainty over the reliability of the proposed pumping test. The proposed methodology is useful for selecting a robust design that will outperform all other candidate designs under most potential &#39;true&#39; states of the system</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786407"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786407"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786407; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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</script> <div class="js-work-strip profile--work_container" data-work-id="19786406"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/19786406/Implementation_of_a_cloud_based_microphysical_precipitation_model_for_data_assimilation_model_formulation_and_sensitivity_analysis"><img alt="Research paper thumbnail of Implementation of a cloud-based microphysical precipitation model for data assimilation: model formulation and sensitivity analysis" class="work-thumbnail" src="https://attachments.academia-assets.com/42017967/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/19786406/Implementation_of_a_cloud_based_microphysical_precipitation_model_for_data_assimilation_model_formulation_and_sensitivity_analysis">Implementation of a cloud-based microphysical precipitation model for data assimilation: model formulation and sensitivity analysis</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this work we formulate a precipitation model driven by remotely sensed cloud microphysical par...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this work we formulate a precipitation model driven by remotely sensed cloud microphysical parameters whose primary objective is to provide a robust spatial and temporal foundation for downscaling remotely sensed precipitation data. The precipitation model is based on a documented one-dimensional physically- based precipitation model that derives liquid mass balance of a cloud layer and surface rainfall rate from thermodynamic principles and surface estimates of temperature, pressure and dewpoint temperature. We modify the original in order to use GOES-based cloud microphysical parameters obtained with the VISST/SIST algorithm, to obtain fine scale (4 x 4 km, half hourly) precipitation estimates over a spatial domain. The model is chosen for its ability to be used with remotely sensed data and its parsimony for use in probabilistic ensemble-based applications. Uncertainty in the precipitation fields can be simulated using postulated a priori probability density functions for the ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fe7f46689e8b217fad7e03dedffb5fb7" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42017967,"asset_id":19786406,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42017967/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786406"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786406"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786406; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786406]").text(description); $(".js-view-count[data-work-id=19786406]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786406; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786406']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786405"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/19786405/Sustainable_Water_Resources_Management_in_a_Complex_Watershed_Under_Climate_Change_Scenarios"><img alt="Research paper thumbnail of Sustainable Water Resources Management in a Complex Watershed Under Climate Change Scenarios" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/19786405/Sustainable_Water_Resources_Management_in_a_Complex_Watershed_Under_Climate_Change_Scenarios">Sustainable Water Resources Management in a Complex Watershed Under Climate Change Scenarios</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The Aconcagua River Basin in central Chile supplies water for over one million people, high-retur...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The Aconcagua River Basin in central Chile supplies water for over one million people, high-return agriculture, mining and hydropower industries. The Aconcagua river basin has Mediterranean/semi-arid climate, its hydrologic regime varies along its path from snow- to a rainfall-dominated, and significant stream-aquifer interaction is observed throughout the river path. A complex water market operates in the Aconcagua River Basin, where private owners hold surface and subsurface water rights independently of land ownership and/or intended use. The above yield integrated watershed management critical for the sustainability of basin operations, moreover under conditions of significant precipitation interannual variability and uncertain future climatic scenarios. In this work we propose an integrated hydrologic-operational model for the Aconcagua River in order to evaluate sustainable management scenarios under conditions of climatic uncertainty. The modeling software WEAP (Water Evaluat...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786405"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786405"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786405; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786405]").text(description); $(".js-view-count[data-work-id=19786405]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786405; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786405']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=19786405]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19786405,"title":"Sustainable Water Resources Management in a Complex Watershed Under Climate Change Scenarios","internal_url":"https://www.academia.edu/19786405/Sustainable_Water_Resources_Management_in_a_Complex_Watershed_Under_Climate_Change_Scenarios","owner_id":40512138,"coauthors_can_edit":true,"owner":{"id":40512138,"first_name":"James","middle_initials":null,"last_name":"McPhee","page_name":"JamesMcPhee","domain_name":"independent","created_at":"2015-12-22T08:19:02.534-08:00","display_name":"James McPhee","url":"https://independent.academia.edu/JamesMcPhee"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786404"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/19786404/Forest_Management_Influence_On_Hydric_Production_in_a_Temperate_Rain_Forest_a_Comparative_Study_of_Small_Watersheds"><img alt="Research paper thumbnail of Forest Management Influence On Hydric Production in a Temperate Rain Forest: a Comparative Study of Small Watersheds" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/19786404/Forest_Management_Influence_On_Hydric_Production_in_a_Temperate_Rain_Forest_a_Comparative_Study_of_Small_Watersheds">Forest Management Influence On Hydric Production in a Temperate Rain Forest: a Comparative Study of Small Watersheds</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this work we compare hydric production between two micro-watersheds (surface area less than 10...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this work we compare hydric production between two micro-watersheds (surface area less than 10 hectares) covered with Nothofagus oblicua and Nothofagus alpina saplings. One of the watersheds was subject to management by thinning on 2002, and contains 23% less trees, which is equivalent to 33% less basal surface respect to the unmanaged control basin. It is expected that differences be solely related to land use differences given that both watersheds have similar geomorphology. Four years (April 2003 through Jun 2007) of hourly streamflow and precipitation data collected on each watershed are analyzed by separating base flow and direct runoff for specific storms selected to represent different conditions of initial soil moisture. Several hydrograph- separation algorithms are tested in order to increase the robustness of our conclusions. Variations in rainfall- runoff coefficients are analyzed in relation to differences in soil cover and antecedent moisture. Preliminary results sho...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786404"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786404"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786404; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786404]").text(description); $(".js-view-count[data-work-id=19786404]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786404; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786404']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=19786404]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19786404,"title":"Forest Management Influence On Hydric Production in a Temperate Rain Forest: a Comparative Study of Small Watersheds","internal_url":"https://www.academia.edu/19786404/Forest_Management_Influence_On_Hydric_Production_in_a_Temperate_Rain_Forest_a_Comparative_Study_of_Small_Watersheds","owner_id":40512138,"coauthors_can_edit":true,"owner":{"id":40512138,"first_name":"James","middle_initials":null,"last_name":"McPhee","page_name":"JamesMcPhee","domain_name":"independent","created_at":"2015-12-22T08:19:02.534-08:00","display_name":"James McPhee","url":"https://independent.academia.edu/JamesMcPhee"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786403"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/19786403/Hydrosystems_Modeling_in_an_Andean_River_Basin_Under_Development_and_Climate_Change_Scenarios"><img alt="Research paper thumbnail of Hydrosystems Modeling in an Andean River Basin Under Development and Climate Change Scenarios" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/19786403/Hydrosystems_Modeling_in_an_Andean_River_Basin_Under_Development_and_Climate_Change_Scenarios">Hydrosystems Modeling in an Andean River Basin Under Development and Climate Change Scenarios</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The Aconcagua river basin is located in the central zone of Chile, has a Mediterranean-type clima...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The Aconcagua river basin is located in the central zone of Chile, has a Mediterranean-type climate, and its runoff regime is markedly nivo-pluvial. Water main users include agriculture, mining, hydropower, industry and domestic supply. Rapid growth of land use for high-value crop agriculture and countrywide expansion of power demand has increased pressure over water resources in the Basin. On the other hand, integrated management of watershed resources is complicated by the fact that in Chile water rights become private property once allocated. This work demonstrates the development of a hydrologic-operational simulation model for the Aconcagua River Basin using the Water Evaluation and Plannning (WEAP) System, which allows to integrate diverse uses of the river basin and varied scenarios of development as well as hydrologic conditions. The proposed model is used to evaluate the performance of several development strategies with respect to stakeholders preferences, including infras...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786403"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786403"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786403; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786403]").text(description); $(".js-view-count[data-work-id=19786403]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786403; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786403']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=19786403]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19786403,"title":"Hydrosystems Modeling in an Andean River Basin Under Development and Climate Change Scenarios","internal_url":"https://www.academia.edu/19786403/Hydrosystems_Modeling_in_an_Andean_River_Basin_Under_Development_and_Climate_Change_Scenarios","owner_id":40512138,"coauthors_can_edit":true,"owner":{"id":40512138,"first_name":"James","middle_initials":null,"last_name":"McPhee","page_name":"JamesMcPhee","domain_name":"independent","created_at":"2015-12-22T08:19:02.534-08:00","display_name":"James McPhee","url":"https://independent.academia.edu/JamesMcPhee"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786402"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/19786402/Evaluation_of_ensemble_flow_forecasts_generated_through_a_distributed_hydrological_model_and_data_assimilation"><img alt="Research paper thumbnail of Evaluation of ensemble flow forecasts generated through a distributed hydrological model and data assimilation" class="work-thumbnail" src="https://attachments.academia-assets.com/42017974/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/19786402/Evaluation_of_ensemble_flow_forecasts_generated_through_a_distributed_hydrological_model_and_data_assimilation">Evaluation of ensemble flow forecasts generated through a distributed hydrological model and data assimilation</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper focuses on the application of Topnet, a physically based distributed hydrological mode...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper focuses on the application of Topnet, a physically based distributed hydrological model, for real - time flood forecasting purposes. The area of interest is the Cautin River basin, located in Southern Chile (38° 29&#39; S and 72° 00&#39; W). The catchment area is 2688 km2 and the annual mean rainfall is 2346 mm. After calibration, the model is able to reproduce hourly streamflow at the basin outlet successfully. However, it is impossible to get reliable simulations for all flood events analyzed using the same set of parameters. In order to reduce model uncertainty, an ensemble Kalman filter implementation was calibrated and applied, demonstrating that model simulations can improve significantly. Furthermore, Talagrand histograms and Q-Q plots indicate that it is possible to get good ensemble properties in a rainy period. Model calibration and assimilation results suggest that lack of information about the spatial variability of model parameters hinders our ability to obta...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b685dc77989a25b15802e20e84a730cb" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42017974,"asset_id":19786402,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42017974/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786402"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786402"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786402; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786402]").text(description); $(".js-view-count[data-work-id=19786402]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786402; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786402']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b685dc77989a25b15802e20e84a730cb" } } $('.js-work-strip[data-work-id=19786402]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19786402,"title":"Evaluation of ensemble flow forecasts generated through a distributed hydrological model and data assimilation","internal_url":"https://www.academia.edu/19786402/Evaluation_of_ensemble_flow_forecasts_generated_through_a_distributed_hydrological_model_and_data_assimilation","owner_id":40512138,"coauthors_can_edit":true,"owner":{"id":40512138,"first_name":"James","middle_initials":null,"last_name":"McPhee","page_name":"JamesMcPhee","domain_name":"independent","created_at":"2015-12-22T08:19:02.534-08:00","display_name":"James McPhee","url":"https://independent.academia.edu/JamesMcPhee"},"attachments":[{"id":42017974,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/42017974/thumbnails/1.jpg","file_name":"Evaluation_of_ensemble_flow_forecasts_ge20160203-18391-tcb2xt.pdf","download_url":"https://www.academia.edu/attachments/42017974/download_file","bulk_download_file_name":"Evaluation_of_ensemble_flow_forecasts_ge.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/42017974/Evaluation_of_ensemble_flow_forecasts_ge20160203-18391-tcb2xt-libre.pdf?1454566361=\u0026response-content-disposition=attachment%3B+filename%3DEvaluation_of_ensemble_flow_forecasts_ge.pdf\u0026Expires=1740896289\u0026Signature=cJkWOJrNEY~nzFPU1511Ip~37WB6fXgI6A-iP-9qbCb-VVsH~AgnGAtgfn3IwOYL6eP5B3etbR6uyO-eGlwx9aqy~tTlf7yYnWhcg8gVaSyXHPdyrEGAEliTEolBFHDsj9S6flN4VwvDbuulSfB2gKs~C83bjmNF4O9nuMWWDlMflpIDevMJcCmUo0-cj6Ni3B5XdFn9ceoQTiDpCVLajXtoydM3A3LnU9kZpr6XxBpSE7XnB2D-Y-5A8x6xrKLildJRRvk4D7su4qDhWHUbKlmFSARF4HzYZ7ipYOOh4wMz2y1P3SIqrw16akats5ol7-~CpYFuwhUpSjbjBdsl~A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786401"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/19786401/A_Landslide_Prediction_System_for_a_Sparsely_Monitored_High_Mountain_Region"><img alt="Research paper thumbnail of A Landslide Prediction System for a Sparsely Monitored High Mountain Region" class="work-thumbnail" src="https://attachments.academia-assets.com/42017941/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/19786401/A_Landslide_Prediction_System_for_a_Sparsely_Monitored_High_Mountain_Region">A Landslide Prediction System for a Sparsely Monitored High Mountain Region</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The aim of this paper is to improve the understanding of hydrological processes involved in the o...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The aim of this paper is to improve the understanding of hydrological processes involved in the occurrence of hillslope failure in sparsely monitored Andean regions. Hence, we test a landslide prediction system, based on a semi-distributed hydrological model and slope instability analysis, in an ungauged, small high mountain catchment located in Central Chile (34o 04&#39; S and 70o 23&#39; W). Although our forecasting system correctly predicts landslide events that happened in the last years, it tends to generate false alarms at the beginning of the melt season because of little underestimation of the factor of safety. Therefore, we can establish two kinds of slope instabilities depending on the phenomena implicated: i) instabilities due to heavy rainfall at the beginning of the rainy season, with the 0o C isotherm elevation above 3,000 meters, and ii) instabilities associated to a significant rise of air temperature, inducing successive increases of snowmelt, soil moisture content ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="2f1df5b7f9a7681491d54350079d76bb" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42017941,"asset_id":19786401,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42017941/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786401"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786401"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786401; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786401]").text(description); $(".js-view-count[data-work-id=19786401]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786401; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786401']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "2f1df5b7f9a7681491d54350079d76bb" } } $('.js-work-strip[data-work-id=19786401]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19786401,"title":"A Landslide Prediction System for a Sparsely Monitored High Mountain Region","internal_url":"https://www.academia.edu/19786401/A_Landslide_Prediction_System_for_a_Sparsely_Monitored_High_Mountain_Region","owner_id":40512138,"coauthors_can_edit":true,"owner":{"id":40512138,"first_name":"James","middle_initials":null,"last_name":"McPhee","page_name":"JamesMcPhee","domain_name":"independent","created_at":"2015-12-22T08:19:02.534-08:00","display_name":"James McPhee","url":"https://independent.academia.edu/JamesMcPhee"},"attachments":[{"id":42017941,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/42017941/thumbnails/1.jpg","file_name":"A_Landslide_Prediction_System_for_a_Spar20160203-24379-1lmq8jg.pdf","download_url":"https://www.academia.edu/attachments/42017941/download_file","bulk_download_file_name":"A_Landslide_Prediction_System_for_a_Spar.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/42017941/A_Landslide_Prediction_System_for_a_Spar20160203-24379-1lmq8jg-libre.pdf?1454566255=\u0026response-content-disposition=attachment%3B+filename%3DA_Landslide_Prediction_System_for_a_Spar.pdf\u0026Expires=1740896289\u0026Signature=AVX25S0J3MgMz3-2T2VE1wOclElSDZWf-c8VSvLjcidyQ6g0yW2rK-00o61mmpaOoqBg6AH4MKMK9FWFMNGRHu9JFWgsmxHJHmabeZENNUcmHqGujpIKBwpuLdI6wCzmCz0nkYTRj6J62Il9R1b-0yQy6SGtvpRgJDo8jbXjPOTkWfXlDnwli2Z0EMYoilywwsO~4WBL4wdh-xb4iHb-1-jTab91OfLAjmwMwaxGrXFVPns37Nt8-sPIXXowpr63jPhqX012UEEwByebCcAoGXuZXVjtTLeGfo8ffsvSLJ-cQkqM0RlGtfEKpkVclT2ZltwoT2nsV1MOysm6GZhpGg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786400"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/19786400/Towards_Management_and_Regulation_of_Gravel_Mining_in_Urban_Areas_of_Santiago_Chile_Analysis_of_the_sediment_budget_in_Maipo_River"><img alt="Research paper thumbnail of Towards Management and Regulation of Gravel Mining in Urban Areas of Santiago, Chile: Analysis of the sediment budget in Maipo River" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/19786400/Towards_Management_and_Regulation_of_Gravel_Mining_in_Urban_Areas_of_Santiago_Chile_Analysis_of_the_sediment_budget_in_Maipo_River">Towards Management and Regulation of Gravel Mining in Urban Areas of Santiago, Chile: Analysis of the sediment budget in Maipo River</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Gravel extraction from a natural streambed combined with changes in water resource usage may indu...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Gravel extraction from a natural streambed combined with changes in water resource usage may induce modifications of a stream&#39;s sediment transport characteristics. Reduced transport capacity and river bed overdraft can bring a system off its natural equilibrium, resulting in decreased sediment replacement rates downstream from the extraction area, which in turn may affect civil works founded in the river bed, as well as water catchment infrastructure designed upon minimum river stages. This work presents a methodology for estimating sediment production rates in the Maipo river (Central Chile) by means of a sediment transport simulation model and field data representative of current sediment and water use/extraction rates. The model is used to evaluate changes in sediment availability due to changes in gravel extraction rates and water use upstream of the urban area of Santiago. A first step toward integrated water and sediment management is proposed by means of coupling a manage...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786400"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786400"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786400; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786400]").text(description); $(".js-view-count[data-work-id=19786400]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786400; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786400']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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</script> <div class="js-work-strip profile--work_container" data-work-id="19786399"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/19786399/Physically_Based_Mountain_Hydrological_Modeling_Using_Reanalysis_Data_in_Patagonia"><img alt="Research paper thumbnail of Physically Based Mountain Hydrological Modeling Using Reanalysis Data in Patagonia" class="work-thumbnail" src="https://attachments.academia-assets.com/42017971/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/19786399/Physically_Based_Mountain_Hydrological_Modeling_Using_Reanalysis_Data_in_Patagonia">Physically Based Mountain Hydrological Modeling Using Reanalysis Data in Patagonia</a></div><div class="wp-workCard_item"><span>Journal of Hydrometeorology</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A physically based hydrological model for the upper Baker River basin (UBRB) in Patagonia was dev...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A physically based hydrological model for the upper Baker River basin (UBRB) in Patagonia was developed using the modular Cold Regions Hydrological Model (CRHM) in order to better understand the processes that drive the hydrological response of one of the largest rivers in this region. The model includes a full suite of blowing snow, intercepted snow, and energy balance snowmelt modules that can be used to describe the hydrology of this cold region. Within this watershed, snowfall, wind speed, and radiation are not measured; there are no high-elevation weather stations; and existing weather stations are sparsely distributed. The impact of atmospheric data from ECMWF interim reanalysis (ERA-Interim) and Climate Forecast System Reanalysis (CFSR) on improving model performance by enhancing the representation of forcing variables was evaluated. CRHM parameters were assigned for local physiographic and vegetation characteristics based on satellite land cover classification, a digital elevation model, and parameter transfer from cold region environments in western Canada. It was found that observed precipitation has almost no predictive power [Nash-Sutcliffe coefficient (NS) , 0.3] when used to force the hydrologic model, whereas model performance using any of the reanalysis products-after bias correction-was acceptable with very little calibration (NS . 0.7). The modeled water balance shows that snowfall amounts to about 28% of the total precipitation and that 26% of total river flow stems from snowmelt. Evapotranspiration losses account for 7.2% of total precipitation, whereas sublimation and canopy interception losses represent about 1%. The soil component is the dominant modulator of runoff, with infiltration contributing as much as 73.7% to total basin outflow.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="acedcbab7c77852eb1d118e7ba30bd16" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42017971,"asset_id":19786399,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42017971/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786399"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786399"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786399; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786399]").text(description); $(".js-view-count[data-work-id=19786399]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786399; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786399']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "acedcbab7c77852eb1d118e7ba30bd16" } } $('.js-work-strip[data-work-id=19786399]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19786399,"title":"Physically Based Mountain Hydrological Modeling Using Reanalysis Data in Patagonia","internal_url":"https://www.academia.edu/19786399/Physically_Based_Mountain_Hydrological_Modeling_Using_Reanalysis_Data_in_Patagonia","owner_id":40512138,"coauthors_can_edit":true,"owner":{"id":40512138,"first_name":"James","middle_initials":null,"last_name":"McPhee","page_name":"JamesMcPhee","domain_name":"independent","created_at":"2015-12-22T08:19:02.534-08:00","display_name":"James McPhee","url":"https://independent.academia.edu/JamesMcPhee"},"attachments":[{"id":42017971,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/42017971/thumbnails/1.jpg","file_name":"Physically_Based_Mountain_Hydrological_M20160203-19126-acxe8l.pdf","download_url":"https://www.academia.edu/attachments/42017971/download_file","bulk_download_file_name":"Physically_Based_Mountain_Hydrological_M.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/42017971/Physically_Based_Mountain_Hydrological_M20160203-19126-acxe8l-libre.pdf?1454566364=\u0026response-content-disposition=attachment%3B+filename%3DPhysically_Based_Mountain_Hydrological_M.pdf\u0026Expires=1740896290\u0026Signature=Yjd7yW0XuYuL8XQdvJQRSByG~S7qliyxB1tjKWZ2lXTrb~mniA4jh8DN6IU2YFL8m3c9Kek62KngsLMNAFmP-l-4hFxXoxOcF4DHvt6BDhM5P3QpgTJWZgcZAhmJnQFjRHrymZVrENh~Zh0FtvgtoSDbsDQneatuAicN7qmONxVt23BAWhcBah4mjwXktN4So5~IWJJmTOOc6RVw-DwOVCUNIjDAjbC7aGIBeNo5jEOY6xCb-al2NFhAVdyKe4G8g3uxTk6RsZaMX56Wo7CoEXOjN2FsV2RtepZsly7Txim4zUM-dytpQeIxU8wTEPrHWtjBi1phWK8amWyjBG9~zg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786398"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/19786398/Adaptation_to_climate_changes_on_a_multipurpose_hydrosystem_in_South_Central_Chile_with_explicit_regard_of_model_uncertainty"><img alt="Research paper thumbnail of Adaptation to climate changes on a multipurpose hydrosystem in South-Central Chile with explicit regard of model uncertainty" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/19786398/Adaptation_to_climate_changes_on_a_multipurpose_hydrosystem_in_South_Central_Chile_with_explicit_regard_of_model_uncertainty">Adaptation to climate changes on a multipurpose hydrosystem in South-Central Chile with explicit regard of model uncertainty</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Decision-making in the agricultural and hydropower sectors can benefit from water resources avail...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Decision-making in the agricultural and hydropower sectors can benefit from water resources availability projections that take into account uncertainty in a meaningful way. In this work we use statistically downscaled projections of 12 general circulation models under 3 emissions scenarios to drive a hydrologic-operational model of the upper Laja river basin in south-central Chile. The Laja hydrosystem is characterized by a large natural reservoir of 5600 Hm3 that is used for agricultural purposes in the lower basin and as the cornerstone of hydroelectric supply for the entire central Chilean electric system. The upper Laja river basin is snowmelt driven so water resources are very sensitive to both precipitation and temperature. Using each future projected series as an independent observation, empirical probability distributions are calculated for hydro-meteorological and operational variables such as reservoir levels and energy production. By the end of the 21st century, the mean ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786398"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786398"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786398; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786398]").text(description); $(".js-view-count[data-work-id=19786398]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786398; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786398']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=19786398]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19786398,"title":"Adaptation to climate changes on a multipurpose hydrosystem in South-Central Chile with explicit regard of model uncertainty","internal_url":"https://www.academia.edu/19786398/Adaptation_to_climate_changes_on_a_multipurpose_hydrosystem_in_South_Central_Chile_with_explicit_regard_of_model_uncertainty","owner_id":40512138,"coauthors_can_edit":true,"owner":{"id":40512138,"first_name":"James","middle_initials":null,"last_name":"McPhee","page_name":"JamesMcPhee","domain_name":"independent","created_at":"2015-12-22T08:19:02.534-08:00","display_name":"James McPhee","url":"https://independent.academia.edu/JamesMcPhee"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786397"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/19786397/Projected_Changes_In_The_Water_Cycle_Of_The_Extratropical_Western_Andes_Under_Climate_Change_Scenarios"><img alt="Research paper thumbnail of Projected Changes In The Water Cycle Of The Extratropical Western Andes Under Climate Change Scenarios" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/19786397/Projected_Changes_In_The_Water_Cycle_Of_The_Extratropical_Western_Andes_Under_Climate_Change_Scenarios">Projected Changes In The Water Cycle Of The Extratropical Western Andes Under Climate Change Scenarios</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This work presents an analysis of the hydrological vulnerability of several economically importan...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This work presents an analysis of the hydrological vulnerability of several economically important watersheds in Central Chile to changes in climate. The study area spans the ecoregion between 30° and 38° S along the western slope of the Andes Cordillera, a transition zone in which the maximum elevation of this mountain range decreases from more than 6000 to roughly 3000 masl. This region also harbors more than half of Chile&#39;s population, in addition to almost its entire irrigated agricultural activity and hydropower production. Climate simulations from the HadCM3 global circulation model (A2 Scenario) project a significant decrease in annual precipitation toward the end of the XXI century, and warming amounts of more than 2° C in some areas. These projections are downscaled using a deterministic technique designed to preserve the distribution properties of observed precipitation and temperature in the region. The WEAP hydrologic model is driven with these climate projections an...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786397"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786397"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786397; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786397]").text(description); $(".js-view-count[data-work-id=19786397]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786397; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786397']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=19786397]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19786397,"title":"Projected Changes In The Water Cycle Of The Extratropical Western Andes Under Climate Change Scenarios","internal_url":"https://www.academia.edu/19786397/Projected_Changes_In_The_Water_Cycle_Of_The_Extratropical_Western_Andes_Under_Climate_Change_Scenarios","owner_id":40512138,"coauthors_can_edit":true,"owner":{"id":40512138,"first_name":"James","middle_initials":null,"last_name":"McPhee","page_name":"JamesMcPhee","domain_name":"independent","created_at":"2015-12-22T08:19:02.534-08:00","display_name":"James McPhee","url":"https://independent.academia.edu/JamesMcPhee"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786396"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/19786396/Modelling_Snow_Hydrology_Processes_in_the_Mountains_of_Patagonia_using_CFSR_Reanalysis_Data"><img alt="Research paper thumbnail of Modelling Snow Hydrology Processes in the Mountains of Patagonia using CFSR Reanalysis Data" class="work-thumbnail" src="https://attachments.academia-assets.com/42018081/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/19786396/Modelling_Snow_Hydrology_Processes_in_the_Mountains_of_Patagonia_using_CFSR_Reanalysis_Data">Modelling Snow Hydrology Processes in the Mountains of Patagonia using CFSR Reanalysis Data</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Remote regions in South America are often characterized by insufficient observations of meteorolo...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Remote regions in South America are often characterized by insufficient observations of meteorology for reliable hydrological model operation. Yet water resources must be quantified, understood and predicted in order to develop effective water management policies, and the snowy mountains of Patagonia are no exception. Key hydrological processes that govern streamflow generation here are snow accumulation, redistribution and melt at high elevations. In order to better represent these processes, physically based equations have been successfully developed and incorporated into hydrological models, but the models require accurate meteorological forcing to operate. To compensate for the lack of surface observations in this region, numerical weather prediction model reanalysis products have become a potentially useful tool to drive physically based hydrological models. The NCEP-NCAR Climate Forecast System Reanalysis (CFSR) is an advanced model with realistic representation of atmospheric...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0445295c87ca21ef5dbecb8f01c75dce" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42018081,"asset_id":19786396,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42018081/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786396"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786396"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786396; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786396]").text(description); $(".js-view-count[data-work-id=19786396]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786396; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786396']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786395"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/19786395/Near_surface_temperature_lapse_rates_in_a_mountainous_catchment_in_the_Chilean_Andes"><img alt="Research paper thumbnail of Near-surface temperature lapse rates in a mountainous catchment in the Chilean Andes" class="work-thumbnail" src="https://attachments.academia-assets.com/42017950/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/19786395/Near_surface_temperature_lapse_rates_in_a_mountainous_catchment_in_the_Chilean_Andes">Near-surface temperature lapse rates in a mountainous catchment in the Chilean Andes</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In mountainous areas, and in the Chilean Andes in particular, the irregular and sparse distributi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In mountainous areas, and in the Chilean Andes in particular, the irregular and sparse distribution of recording stations resolves insufficiently the variability of climatic factors such as precipitation, temperature and relative humidity. Assumptions about air temperature variability in space and time have a strong effect on the performance of hydrologic models that represent snow processes such as accumulation and ablation. These processes have large diurnal variations, and assumptions that average over longer time periods (days, weeks or months) may reduce the predictive capacity of these models under different climatic conditions from those for which they were calibrated. They also introduce large uncertainties when such models are used to predict processes with strong subdiurnal variability such as snowmelt dynamics. In many applications and modeling exercises, temperature is assumed to decrease linearly with elevation, using the free-air moist adiabatic lapse rate (MALR: 0.006...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="81225ed9398a6d606a63371f0d0ef649" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42017950,"asset_id":19786395,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42017950/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786395"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786395"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786395; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786395]").text(description); $(".js-view-count[data-work-id=19786395]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786395; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786395']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786394"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/19786394/Defining_sources_and_evolution_of_discharge_in_Central_Andean_snowmelt_dominated_watersheds"><img alt="Research paper thumbnail of Defining sources and evolution of discharge in Central Andean snowmelt-dominated watersheds" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/19786394/Defining_sources_and_evolution_of_discharge_in_Central_Andean_snowmelt_dominated_watersheds">Defining sources and evolution of discharge in Central Andean snowmelt-dominated watersheds</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/JamesMcPhee">James McPhee</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/NilsOhlanders">Nils Ohlanders</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Fresh water resources in the semi-arid region of Central Chile are highly limited and derived mai...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Fresh water resources in the semi-arid region of Central Chile are highly limited and derived mainly from snow and glacial melt. Moreover, the contribution of each of these two sources are poorly known. This results partly from little and unreliable information on precipitation lapse rate in the high Andes and therefore the water equivalent of high elevation snowpacks. On the other hand, discharge data from a fairly large net of high elevation stream gauging stations is available. A tracer that is able to distinguish snow- and glacier melt -e.g. stable water isotopes- would therefore be useful for estimating the size and melt evolution of snowpacks. Another largely unexplored factor in the hydrology of Central Andean catchments is the timing and effect of subsurface storage and flowpaths, potentially causing a significant lag between melt of snow and ice and runoff at the basin outlets. Estimations of mean snowmelt transit times may also be obtained from stable water isotope data. I...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786394"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786394"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786394; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786394]").text(description); $(".js-view-count[data-work-id=19786394]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786394; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786394']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=19786394]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19786394,"title":"Defining sources and evolution of discharge in Central Andean snowmelt-dominated watersheds","internal_url":"https://www.academia.edu/19786394/Defining_sources_and_evolution_of_discharge_in_Central_Andean_snowmelt_dominated_watersheds","owner_id":40512138,"coauthors_can_edit":true,"owner":{"id":40512138,"first_name":"James","middle_initials":null,"last_name":"McPhee","page_name":"JamesMcPhee","domain_name":"independent","created_at":"2015-12-22T08:19:02.534-08:00","display_name":"James McPhee","url":"https://independent.academia.edu/JamesMcPhee"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786392"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/19786392/Perspectives_on_endovascular_training_in_traditional_5_2_vascular_surgery_fellowship_training_programs"><img alt="Research paper thumbnail of Perspectives on endovascular training in traditional 5+2 vascular surgery fellowship training programs" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/19786392/Perspectives_on_endovascular_training_in_traditional_5_2_vascular_surgery_fellowship_training_programs">Perspectives on endovascular training in traditional 5+2 vascular surgery fellowship training programs</a></div><div class="wp-workCard_item"><span>Vascular</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study aimed to compare expectations and experiences of fellows to those of faculty in vascul...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This study aimed to compare expectations and experiences of fellows to those of faculty in vascular surgery fellowship programs with regard to endovascular training. Anonymous surveys were sent to fellows (n = 235) and program directors (n = 147), with 79 fellows and 65 faculty members responding. Fellows noted higher expectations of their endovascular skills prior to starting fellowship than the faculty group reported expecting. Faculty assessed fellows&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39; pre-training endovascular skills at a significantly lower level than the fellows&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39; self-assessment. Fellows were significantly less satisfied with the structured aspects of endovascular training than the faculty believed them to be. Only 3% of fellows vs. 32% of faculty felt that the presence of an endovascular simulator affected how residents ranked fellowship programs during the match. In conclusion, incoming fellows in vascular surgery fellowship programs have high expectations of themselves, but may overestimate their actual pre-training endovascular skills. Fellows desire more structured endovascular training, which is not recognized by faculty. Endovascular simulators are valued, but may not be a significant draw in the match process.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786392"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786392"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786392; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786392]").text(description); $(".js-view-count[data-work-id=19786392]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786392; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786392']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=19786392]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19786392,"title":"Perspectives on endovascular training in traditional 5+2 vascular surgery fellowship training programs","internal_url":"https://www.academia.edu/19786392/Perspectives_on_endovascular_training_in_traditional_5_2_vascular_surgery_fellowship_training_programs","owner_id":40512138,"coauthors_can_edit":true,"owner":{"id":40512138,"first_name":"James","middle_initials":null,"last_name":"McPhee","page_name":"JamesMcPhee","domain_name":"independent","created_at":"2015-12-22T08:19:02.534-08:00","display_name":"James McPhee","url":"https://independent.academia.edu/JamesMcPhee"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786391"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/19786391/Comparison_of_modeling_approaches_in_assessing_hydrologic_processes_in_a_high_elevation_semi_arid_Andean_watershed"><img alt="Research paper thumbnail of Comparison of modeling approaches in assessing hydrologic processes in a high elevation, semi-arid Andean watershed" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/19786391/Comparison_of_modeling_approaches_in_assessing_hydrologic_processes_in_a_high_elevation_semi_arid_Andean_watershed">Comparison of modeling approaches in assessing hydrologic processes in a high elevation, semi-arid Andean watershed</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Hydrological processes in high-elevation watersheds are difficult to quantify and study because o...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Hydrological processes in high-elevation watersheds are difficult to quantify and study because of data scarcity, accessibility difficulties and complex topography. These issues are especially significant in the Chilean Andes, where meteorological and streamflow networks are sparse. Hydrological models may provide a useful tool for the study of these watersheds as they provide insight into the main catchment dynamics and responses to climatic forcings; these insights are especially valuable in a context of changing climate, where historical relationships between hydrometeorogical variables may not hold in the future. In this work we use three hydrologic models of varying complexity to study the Juncal river basin (33S, 70W; 3500 masl): a conceptual semi-distributed model based on elevation bands (WEAP), a physically based semi-distributed model based on a subcatchment network within the main basin (TopNET), and a physically based, gridded fully-distributed model (TopKAPI). Daily str...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786391"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786391"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786391; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19786391]").text(description); $(".js-view-count[data-work-id=19786391]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19786391; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19786391']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=19786391]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19786391,"title":"Comparison of modeling approaches in assessing hydrologic processes in a high elevation, semi-arid Andean watershed","internal_url":"https://www.academia.edu/19786391/Comparison_of_modeling_approaches_in_assessing_hydrologic_processes_in_a_high_elevation_semi_arid_Andean_watershed","owner_id":40512138,"coauthors_can_edit":true,"owner":{"id":40512138,"first_name":"James","middle_initials":null,"last_name":"McPhee","page_name":"JamesMcPhee","domain_name":"independent","created_at":"2015-12-22T08:19:02.534-08:00","display_name":"James McPhee","url":"https://independent.academia.edu/JamesMcPhee"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="19786390"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/19786390/Hydrological_models_and_data_scarcity_on_the_quest_for_a_model_structure_appropriate_for_modeling_water_availability_under_the_present_and_future_climate"><img alt="Research paper thumbnail of Hydrological models and data scarcity: on the quest for a model structure appropriate for modeling water availability under the present and future climate" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/19786390/Hydrological_models_and_data_scarcity_on_the_quest_for_a_model_structure_appropriate_for_modeling_water_availability_under_the_present_and_future_climate">Hydrological models and data scarcity: on the quest for a model structure appropriate for modeling water availability under the present and future climate</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Hydrological models provide a useful tool to quantify the water balance components of watersheds ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Hydrological models provide a useful tool to quantify the water balance components of watersheds where data for calibration and validation are available. Modeling of hydrological processes in high-elevation watersheds is affected by additional uncertainty due to the complexity of the process spatial variations and low data availability. The scarcity of information about groundwater, the magnitude of evapotranspiration, snow- and glacier melt at high elevation and the absence of long term meteorological data constrain the predictive skills and accuracy of hydrological models. It is not clear what type of model structure is more appropriate for these types of applications; whether physically-based or conceptual models, given the complex interplay of contrasting factors playing a role. This issue is significant in the snow and glacier dominated central Andes of Chile, where water resources originate from snow and icemelt, meteorological and streamflow networks are scarce but prediction...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="19786390"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="19786390"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19786390; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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