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href="https://durham.academia.edu/">Durham University</a>, <a class="u-tcGrayDarker" href="https://durham.academia.edu/Departments/Geography/Documents">Geography</a>, <span class="u-tcGrayDarker">Faculty Member</span></div></div></div></div><div class="sidebar-cta-container"><button class="ds2-5-button hidden profile-cta-button grow js-profile-follow-button" data-broccoli-component="user-info.follow-button" data-click-track="profile-user-info-follow-button" data-follow-user-fname="Glenn" data-follow-user-id="27221904" data-follow-user-source="profile_button" data-has-google="false"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">add</span>Follow</button><button class="ds2-5-button hidden profile-cta-button grow js-profile-unfollow-button" data-broccoli-component="user-info.unfollow-button" data-click-track="profile-user-info-unfollow-button" data-unfollow-user-id="27221904"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">done</span>Following</button></div></div><div class="user-stats-container"><a><div class="stat-container js-profile-followers"><p class="label">Followers</p><p class="data">117</p></div></a><a><div class="stat-container js-profile-followees" data-broccoli-component="user-info.followees-count" data-click-track="profile-expand-user-info-following"><p class="label">Following</p><p class="data">4</p></div></a><a><div class="stat-container js-profile-coauthors" data-broccoli-component="user-info.coauthors-count" data-click-track="profile-expand-user-info-coauthors"><p class="label">Co-author</p><p class="data">1</p></div></a><span><div class="stat-container"><p class="label"><span class="js-profile-total-view-text">Public Views</span></p><p class="data"><span class="js-profile-view-count"></span></p></div></span></div><div class="user-bio-container"><div class="profile-bio fake-truncate js-profile-about" style="margin: 0px;"><b>Address: </b>Durham, England, United Kingdom<br /><div class="js-profile-less-about u-linkUnstyled u-tcGrayDarker u-textDecorationUnderline u-displayNone">less</div></div></div><div class="ri-section"><div class="ri-section-header"><span>Interests</span></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="27221904" href="https://www.academia.edu/Documents/in/Geography"><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://durham.academia.edu/GlennMcGregor","location":"/GlennMcGregor","scheme":"https","host":"durham.academia.edu","port":null,"pathname":"/GlennMcGregor","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Geography"]}" data-trace="false" 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data-dom-id="Pill-react-component-a527653b-894c-4e9a-999d-f5f7a4b79af4"></div> <div id="Pill-react-component-a527653b-894c-4e9a-999d-f5f7a4b79af4"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="27221904" href="https://www.academia.edu/Documents/in/The_Sublime"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["The Sublime"]}" data-trace="false" data-dom-id="Pill-react-component-c57bc991-6ff6-4244-a428-9e8ed017c985"></div> <div id="Pill-react-component-c57bc991-6ff6-4244-a428-9e8ed017c985"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="27221904" href="https://www.academia.edu/Documents/in/Participatory_and_Relational_Arts"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Participatory and Relational Arts"]}" data-trace="false" data-dom-id="Pill-react-component-00b44d4b-681a-4b93-b61c-381c7bf6a238"></div> <div id="Pill-react-component-00b44d4b-681a-4b93-b61c-381c7bf6a238"></div> </a></div></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Glenn McGregor</h3></div><div class="js-work-strip profile--work_container" data-work-id="113370329"><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/113370329/Tropical_climatology_An_introduction_to_the_climates_of_the_low_latitudes"><img alt="Research paper thumbnail of Tropical climatology — An introduction to the climates of the low latitudes" class="work-thumbnail" src="https://attachments.academia-assets.com/110346185/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/113370329/Tropical_climatology_An_introduction_to_the_climates_of_the_low_latitudes">Tropical climatology — An introduction to the climates of the low latitudes</a></div><div class="wp-workCard_item"><span>Earth-Science Reviews</span><span>, 1977</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a 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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="112143844"><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/112143844/Exploring_Winter_Mortality_Variability_in_Five_Regions_of_England_Using_Back_Trajectory_Analysis"><img alt="Research paper thumbnail of Exploring Winter Mortality Variability in Five Regions of England Using Back Trajectory Analysis" class="work-thumbnail" src="https://attachments.academia-assets.com/109464836/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/112143844/Exploring_Winter_Mortality_Variability_in_Five_Regions_of_England_Using_Back_Trajectory_Analysis">Exploring Winter Mortality Variability in Five Regions of England Using Back Trajectory Analysis</a></div><div class="wp-workCard_item"><span>Earth Interactions</span><span>, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper aims to define atmospheric pathways related with the occurrence of daily winter low te...</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 aims to define atmospheric pathways related with the occurrence of daily winter low temperature episodes (LTE) in England, for the 26-yr period 1974–99, and to reveal possible associations with increased mortality rates. For this purpose, backward airmass trajectories, corresponding to LTE in five regions of England, were deployed. A statistically significant increase in mortality levels, at the 0.05 level, was found for LTE, compared to non-LTE days across all five regions. Seven categories of atmospheric trajectory patterns associated with LTE were identified: east, local, west, North Atlantic, Arctic, southwest, and Scandinavian. Consideration of the link between airmass trajectory patterns and mortality levels by region revealed a possible west-to-east split in the nature of air masses connected with elevated mortality. Specifically, for the West Midlands and northwest regions, relatively warm winter weather conditions from the west, most likely associated with the ea...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="10084fcb9ab1a071c03fda76b343a909" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":109464836,"asset_id":112143844,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/109464836/download_file?st=MTczMzkxMTU0NCw4LjIyMi4yMDguMTQ2&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="112143844"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="112143844"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 112143844; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=112143844]").text(description); $(".js-view-count[data-work-id=112143844]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 112143844; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='112143844']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 112143844, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "10084fcb9ab1a071c03fda76b343a909" } } $('.js-work-strip[data-work-id=112143844]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":112143844,"title":"Exploring Winter Mortality Variability in Five Regions of England Using Back Trajectory Analysis","translated_title":"","metadata":{"abstract":"This paper aims to define atmospheric pathways related with the occurrence of daily winter low temperature episodes (LTE) in England, for the 26-yr period 1974–99, and to reveal possible associations with increased mortality rates. 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Specifically, for the West Midlands and northwest regions, relatively warm winter weather conditions from the west, most likely associated with the ea...","publisher":"American Meteorological Society","publication_date":{"day":null,"month":null,"year":2016,"errors":{}},"publication_name":"Earth Interactions"},"translated_abstract":"This paper aims to define atmospheric pathways related with the occurrence of daily winter low temperature episodes (LTE) in England, for the 26-yr period 1974–99, and to reveal possible associations with increased mortality rates. For this purpose, backward airmass trajectories, corresponding to LTE in five regions of England, were deployed. A statistically significant increase in mortality levels, at the 0.05 level, was found for LTE, compared to non-LTE days across all five regions. Seven categories of atmospheric trajectory patterns associated with LTE were identified: east, local, west, North Atlantic, Arctic, southwest, and Scandinavian. 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Specifically, for the West Midlands and northwest regions, relatively warm winter weather conditions from the west, most likely associated with the ea...","owner":{"id":27221904,"first_name":"Glenn","middle_initials":null,"last_name":"McGregor","page_name":"GlennMcGregor","domain_name":"durham","created_at":"2015-03-04T12:52:52.550-08:00","display_name":"Glenn McGregor","url":"https://durham.academia.edu/GlennMcGregor"},"attachments":[{"id":109464836,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/109464836/thumbnails/1.jpg","file_name":"80e1eeced84bda670b9547b0656b17be48ff.pdf","download_url":"https://www.academia.edu/attachments/109464836/download_file?st=MTczMzkxMTU0NCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Exploring_Winter_Mortality_Variability_i.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/109464836/80e1eeced84bda670b9547b0656b17be48ff-libre.pdf?1703346900=\u0026response-content-disposition=attachment%3B+filename%3DExploring_Winter_Mortality_Variability_i.pdf\u0026Expires=1733915144\u0026Signature=VRh4Waaph-FQcogOKsA7Wcj2K5uON8Nifd7RIhA16-mlYFiyW4wFJFmeCUbF3x9jYwf-ABfpaUEEinwaKJIAWfK6EpspIeXcKHaHyIvT3PpzSawOKhVrmeYJjNB-kg5SyUvtCDztrAXXIT81MO2rDDFC-w2jhisT0-3F1mSPmOJPiEX6CI52Ci1T0k6GmwFYCYMqqp-4BYuaraCNCMplyBNxKyDWfTyj-f1WZA-9G0gdliX1diwZO1XWr1dETuZQkaUkR92dwiNsrihBFWdVBk4fgWD1XoJ4oWxz66SPoDApkOrBNswL4G-8mAOlY1wP7McEOQuPqSWtKfN5JtpPbg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"},{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"},{"id":409,"name":"Geophysics","url":"https://www.academia.edu/Documents/in/Geophysics"},{"id":3754,"name":"Climatology","url":"https://www.academia.edu/Documents/in/Climatology"},{"id":68049,"name":"Arctic","url":"https://www.academia.edu/Documents/in/Arctic"},{"id":130145,"name":"Advection","url":"https://www.academia.edu/Documents/in/Advection"}],"urls":[{"id":37623348,"url":"http://journals.ametsoc.org/ei/article-pdf/20/1/1/4099641/ei-d-15-0012_1.pdf"}]}, 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="98163481"><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/98163481/Climate_Change_Grape_Phenology_and_Frost_Risk_in_Southeast_England"><img alt="Research paper thumbnail of Climate Change, Grape Phenology, and Frost Risk in Southeast England" class="work-thumbnail" src="https://attachments.academia-assets.com/99589806/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/98163481/Climate_Change_Grape_Phenology_and_Frost_Risk_in_Southeast_England">Climate Change, Grape Phenology, and Frost Risk in Southeast England</a></div><div class="wp-workCard_item"><span>Australian Journal of Grape and Wine Research</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Background and Aims. The cultivation of grapevines in England is expected to benefit under climat...</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">Background and Aims. The cultivation of grapevines in England is expected to benefit under climate change. Yet assessments of future wine climates remain undeveloped. Accordingly, this study assesses how climate change might modify frost risk for Chardonnay in the Southeast England viticulture region. Methods and Results. Cold-bias-corrected climate projections from the UKCP18 Regional (12 km) perturbed parameter ensemble (PPE) climate model under RCP8.5 are applied with phenological models to determine how frost risk and the timing of key grapevine phenophases might alter under climate change. Notwithstanding the uncertainties associated with projections of key viticulture-related bioclimate variables, the last spring frost was found to advance at a greater rate than budburst, indicating a general decrease in frost risk. Conclusions. Although projections point to an improving climate for viticulture across Southeast England, frost will remain a risk for viticulture, albeit at a red...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ef220159b8482be0a706baa5a8da294a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":99589806,"asset_id":98163481,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/99589806/download_file?st=MTczMzkxMTU0NCw4LjIyMi4yMDguMTQ2&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="98163481"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="98163481"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 98163481; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=98163481]").text(description); $(".js-view-count[data-work-id=98163481]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 98163481; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='98163481']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 98163481, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "ef220159b8482be0a706baa5a8da294a" } } $('.js-work-strip[data-work-id=98163481]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":98163481,"title":"Climate Change, Grape Phenology, and Frost Risk in Southeast England","translated_title":"","metadata":{"abstract":"Background and Aims. 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Notwithstanding the uncertainties associated with projections of key viticulture-related bioclimate variables, the last spring frost was found to advance at a greater rate than budburst, indicating a general decrease in frost risk. Conclusions. Although projections point to an improving climate for viticulture across Southeast England, frost will remain a risk for viticulture, albeit at a red...","internal_url":"https://www.academia.edu/98163481/Climate_Change_Grape_Phenology_and_Frost_Risk_in_Southeast_England","translated_internal_url":"","created_at":"2023-03-08T07:38:58.267-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":27221904,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":99589806,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/99589806/thumbnails/1.jpg","file_name":"9835317.pdf","download_url":"https://www.academia.edu/attachments/99589806/download_file?st=MTczMzkxMTU0NCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Climate_Change_Grape_Phenology_and_Frost.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/99589806/9835317-libre.pdf?1678290608=\u0026response-content-disposition=attachment%3B+filename%3DClimate_Change_Grape_Phenology_and_Frost.pdf\u0026Expires=1733886390\u0026Signature=bLTPV~3CtEwIHOmgATibGu8M1CI7dPjbg5gB7~7e~SUq9gsTbWQV6tNPCgE8nYrSXwWUjRuyvuTfFdk76ErQSBR6z272M-cQ1ygYpGXf2jGMfWkZPYrBxjHz-hkwSksXxxMRIoBLQFHk0iv8B9JhkR0HRskw1eZ9BCB93JNDkhbsEaaP20~4dQprbl1dHgzbxpVCRJmqCSfHBLAMTR4Xiv5NiBNKl-4JVxfFvSfO21fRpKuKa-8QZwBl3Rrp29OGe-uzzOeJBQn8dBb3gjsd4itd30GtebFg1Udk9PHMHKqxe58PVFBJHsfxSAmOXejitj8nbPbMM4VgWXKc2AJkiA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Climate_Change_Grape_Phenology_and_Frost_Risk_in_Southeast_England","translated_slug":"","page_count":18,"language":"en","content_type":"Work","summary":"Background and Aims. 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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="98163479"><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/98163479/Climatic_characteristics_of_summer_human_thermal_discomfort_in_Athens_and_its_connection_to_atmospheric_circulation"><img alt="Research paper thumbnail of Climatic characteristics of summer human thermal discomfort in Athens and its connection to atmospheric circulation" class="work-thumbnail" src="https://attachments.academia-assets.com/99589805/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/98163479/Climatic_characteristics_of_summer_human_thermal_discomfort_in_Athens_and_its_connection_to_atmospheric_circulation">Climatic characteristics of summer human thermal discomfort in Athens and its connection to atmospheric circulation</a></div><div class="wp-workCard_item"><span>Natural Hazards and Earth System Sciences</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The climate characteristics of summer human thermal discomfort in Athens and its connection to at...</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 climate characteristics of summer human thermal discomfort in Athens and its connection to atmospheric circulation are studied for the period 1954-2012. The human thermal discomfort is examined in terms of the Predicted Mean Vote (PMV) discomfort index for calm and light wind (3 ms −1) conditions. Its inter-annual variability is characterised by a significant increase from the middle 1980s to the end of the study period. The onset and the cessation of the discomfort period are found to take place around the beginning of July and the end of August respectively, but from middle 1980s the dates of onset and cessation have slightly moved earlier and later, respectively, leading to a longer summer discomfort period. The connection between human thermal discomfort and atmospheric circulation is studied by examining the distribution of discomfort cases across six objectively defined circulation types over Europe, based on Athens weather characteristics. High values of the PMV discomfort index are mainly associated with two typical high-summer pressure patterns with the intensity of discomfort depending on the pressure gradient over the Aegean Sea. On the contrary, low PMV discomfort index values prevail mainly on days typified by the other four circulation types, which are more frequent during May, June, and September.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="439f0ad22e361b9a0ad2c339ae4c8e00" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":99589805,"asset_id":98163479,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/99589805/download_file?st=MTczMzkxMTU0NCw4LjIyMi4yMDguMTQ2&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="98163479"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="98163479"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 98163479; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=98163479]").text(description); $(".js-view-count[data-work-id=98163479]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 98163479; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='98163479']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 98163479, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "439f0ad22e361b9a0ad2c339ae4c8e00" } } $('.js-work-strip[data-work-id=98163479]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":98163479,"title":"Climatic characteristics of summer human thermal discomfort in Athens and its connection to atmospheric circulation","translated_title":"","metadata":{"publisher":"Copernicus GmbH","grobid_abstract":"The climate characteristics of summer human thermal discomfort in Athens and its connection to atmospheric circulation are studied for the period 1954-2012. 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The human thermal discomfort is examined in terms of the Predicted Mean Vote (PMV) discomfort index for calm and light wind (3 ms −1) conditions. Its inter-annual variability is characterised by a significant increase from the middle 1980s to the end of the study period. The onset and the cessation of the discomfort period are found to take place around the beginning of July and the end of August respectively, but from middle 1980s the dates of onset and cessation have slightly moved earlier and later, respectively, leading to a longer summer discomfort period. The connection between human thermal discomfort and atmospheric circulation is studied by examining the distribution of discomfort cases across six objectively defined circulation types over Europe, based on Athens weather characteristics. High values of the PMV discomfort index are mainly associated with two typical high-summer pressure patterns with the intensity of discomfort depending on the pressure gradient over the Aegean Sea. 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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="79799691"><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/79799691/Weather_patterns_and_all_cause_mortality_in_England_UK"><img alt="Research paper thumbnail of Weather patterns and all-cause mortality in England, UK" class="work-thumbnail" src="https://attachments.academia-assets.com/86392777/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/79799691/Weather_patterns_and_all_cause_mortality_in_England_UK">Weather patterns and all-cause mortality in England, UK</a></div><div class="wp-workCard_item"><span>International Journal of Biometeorology</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Cold-and heat-related mortality poses significant public health concerns worldwide. Although ther...</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">Cold-and heat-related mortality poses significant public health concerns worldwide. Although there are numerous studies dealing with the association between extreme ambient temperature and mortality, only a small number adopt a synoptic climatological approach in order to understand the nature of weather systems that precipitate increases in cold or heatrelated mortality. In this paper, the Lamb Weather Type synoptic classification is used to examine the relationship between daily mortality and weather patterns across nine regions of England. Analysis results revealed that the population in England is more susceptible to cold weather. Furthermore, it was found that the Easterly weather types are the most hazardous for public health all-year-long, however during the cold period the results are more evident and spatially homogenous. Nevertheless, it is noteworthy that the most dangerous weather conditions are not always associated with extreme (high or low) temperatures, a finding which points to the complexity of weather-related health effects and highlights the importance of a synoptic climatological approach in elucidating the relationship between temperature and mortality.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d13776a55e1a472a0ae685797b355611" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":86392777,"asset_id":79799691,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/86392777/download_file?st=MTczMzkxMTU0NCw4LjIyMi4yMDguMTQ2&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="79799691"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="79799691"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79799691; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79799691]").text(description); $(".js-view-count[data-work-id=79799691]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79799691; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79799691']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 79799691, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "d13776a55e1a472a0ae685797b355611" } } $('.js-work-strip[data-work-id=79799691]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79799691,"title":"Weather patterns and all-cause mortality in England, UK","translated_title":"","metadata":{"publisher":"Springer Science and Business Media LLC","grobid_abstract":"Cold-and heat-related mortality poses significant public health concerns worldwide. 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Nevertheless, it is noteworthy that the most dangerous weather conditions are not always associated with extreme (high or low) temperatures, a finding which points to the complexity of weather-related health effects and highlights the importance of a synoptic climatological approach in elucidating the relationship between temperature and mortality.","publication_date":{"day":null,"month":null,"year":2019,"errors":{}},"publication_name":"International Journal of Biometeorology","grobid_abstract_attachment_id":86392777},"translated_abstract":null,"internal_url":"https://www.academia.edu/79799691/Weather_patterns_and_all_cause_mortality_in_England_UK","translated_internal_url":"","created_at":"2022-05-24T00:50:42.850-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":27221904,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":86392777,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86392777/thumbnails/1.jpg","file_name":"29756.pdf","download_url":"https://www.academia.edu/attachments/86392777/download_file?st=MTczMzkxMTU0NCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Weather_patterns_and_all_cause_mortality.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86392777/29756-libre.pdf?1653378827=\u0026response-content-disposition=attachment%3B+filename%3DWeather_patterns_and_all_cause_mortality.pdf\u0026Expires=1733915144\u0026Signature=JeetEjtq1dKoYRtir8UmuO~yygAY7HcZy72-HAKCM25L9revoaPtKgAbes2B-K476qmBhViPbmEiG8hgAKcioxFV1gVvTSnnOhHxdWKUrcBNz~clfG6sBWUyXSv0DrWx1decEb6Eg3zteX8~oRRqFJWavLe6cD0VVP8deqiK~s-dNKCztwP5i5zyv58YfZI3nr3GEPi-ocWxZOMqvdjANbF9mds34BppXhSMSvb~GKEhEmr731lYSvvxDDW7PeHRNfxVXZT13-u8ZLnB1fFkcnURr189DR1I~6jni2lmZO6q2DSXo-~WCabikGACy78EHJlZxgE1QKjLqk1ycDC1~Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Weather_patterns_and_all_cause_mortality_in_England_UK","translated_slug":"","page_count":24,"language":"en","content_type":"Work","summary":"Cold-and heat-related mortality poses significant public health concerns worldwide. Although there are numerous studies dealing with the association between extreme ambient temperature and mortality, only a small number adopt a synoptic climatological approach in order to understand the nature of weather systems that precipitate increases in cold or heatrelated mortality. In this paper, the Lamb Weather Type synoptic classification is used to examine the relationship between daily mortality and weather patterns across nine regions of England. Analysis results revealed that the population in England is more susceptible to cold weather. Furthermore, it was found that the Easterly weather types are the most hazardous for public health all-year-long, however during the cold period the results are more evident and spatially homogenous. Nevertheless, it is noteworthy that the most dangerous weather conditions are not always associated with extreme (high or low) temperatures, a finding which points to the complexity of weather-related health effects and highlights the importance of a synoptic climatological approach in elucidating the relationship between temperature and mortality.","owner":{"id":27221904,"first_name":"Glenn","middle_initials":null,"last_name":"McGregor","page_name":"GlennMcGregor","domain_name":"durham","created_at":"2015-03-04T12:52:52.550-08:00","display_name":"Glenn McGregor","url":"https://durham.academia.edu/GlennMcGregor"},"attachments":[{"id":86392777,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86392777/thumbnails/1.jpg","file_name":"29756.pdf","download_url":"https://www.academia.edu/attachments/86392777/download_file?st=MTczMzkxMTU0NCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Weather_patterns_and_all_cause_mortality.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86392777/29756-libre.pdf?1653378827=\u0026response-content-disposition=attachment%3B+filename%3DWeather_patterns_and_all_cause_mortality.pdf\u0026Expires=1733915144\u0026Signature=JeetEjtq1dKoYRtir8UmuO~yygAY7HcZy72-HAKCM25L9revoaPtKgAbes2B-K476qmBhViPbmEiG8hgAKcioxFV1gVvTSnnOhHxdWKUrcBNz~clfG6sBWUyXSv0DrWx1decEb6Eg3zteX8~oRRqFJWavLe6cD0VVP8deqiK~s-dNKCztwP5i5zyv58YfZI3nr3GEPi-ocWxZOMqvdjANbF9mds34BppXhSMSvb~GKEhEmr731lYSvvxDDW7PeHRNfxVXZT13-u8ZLnB1fFkcnURr189DR1I~6jni2lmZO6q2DSXo-~WCabikGACy78EHJlZxgE1QKjLqk1ycDC1~Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"},{"id":18605,"name":"Biometeorology","url":"https://www.academia.edu/Documents/in/Biometeorology"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":60285,"name":"Atmospheric sciences","url":"https://www.academia.edu/Documents/in/Atmospheric_sciences"}],"urls":[{"id":20728225,"url":"http://link.springer.com/content/pdf/10.1007/s00484-019-01803-0.pdf"}]}, 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="79799690"><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/79799690/Time_Series_Study_of_Associations_between_Rates_of_People_Affected_by_Disasters_and_the_El_Ni%C3%B1o_Southern_Oscillation_ENSO_Cycle"><img alt="Research paper thumbnail of Time-Series Study of Associations between Rates of People Affected by Disasters and the El Niño Southern Oscillation (ENSO) Cycle" class="work-thumbnail" src="https://attachments.academia-assets.com/86392715/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/79799690/Time_Series_Study_of_Associations_between_Rates_of_People_Affected_by_Disasters_and_the_El_Ni%C3%B1o_Southern_Oscillation_ENSO_Cycle">Time-Series Study of Associations between Rates of People Affected by Disasters and the El Niño Southern Oscillation (ENSO) Cycle</a></div><div class="wp-workCard_item"><span>International Journal of Environmental Research and Public Health</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The El Niño Southern Oscillation (ENSO) is a major driver of climatic variability that can have f...</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 El Niño Southern Oscillation (ENSO) is a major driver of climatic variability that can have far reaching consequences for public health globally. We explored whether global, regional and country-level rates of people affected by natural disasters (PAD) are linked to ENSO. Annual numbers of PAD between 1964–2017 recorded on the EM-DAT disaster database were combined with UN population data to create PAD rates. Time-series regression was used to assess de-trended associations between PAD and 2 ENSO indices: Oceanic Niño Index (ONI) and multivariate El Niño Index (MEI). Over 95% of PAD were caused by floods, droughts or storms, with over 75% of people affected by these three disasters residing in Asia. Globally, drought-related PAD rate increased sharply in El Niño years (versus neutral years). Flood events were the disaster type most strongly associated with El Niño regionally: in South Asia, flood-related PAD increased by 40.5% (95% CI 19.3% to 65.6%) for each boundary point incr...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f1dac7ed29c58a2ad407f9fbdf85dba1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":86392715,"asset_id":79799690,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/86392715/download_file?st=MTczMzkxMTU0NCw4LjIyMi4yMDguMTQ2&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="79799690"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="79799690"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79799690; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79799690]").text(description); $(".js-view-count[data-work-id=79799690]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79799690; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79799690']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 79799690, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "f1dac7ed29c58a2ad407f9fbdf85dba1" } } $('.js-work-strip[data-work-id=79799690]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79799690,"title":"Time-Series Study of Associations between Rates of People Affected by Disasters and the El Niño Southern Oscillation (ENSO) Cycle","translated_title":"","metadata":{"abstract":"The El Niño Southern Oscillation (ENSO) is a major driver of climatic variability that can have far reaching consequences for public health globally. We explored whether global, regional and country-level rates of people affected by natural disasters (PAD) are linked to ENSO. Annual numbers of PAD between 1964–2017 recorded on the EM-DAT disaster database were combined with UN population data to create PAD rates. Time-series regression was used to assess de-trended associations between PAD and 2 ENSO indices: Oceanic Niño Index (ONI) and multivariate El Niño Index (MEI). Over 95% of PAD were caused by floods, droughts or storms, with over 75% of people affected by these three disasters residing in Asia. Globally, drought-related PAD rate increased sharply in El Niño years (versus neutral years). Flood events were the disaster type most strongly associated with El Niño regionally: in South Asia, flood-related PAD increased by 40.5% (95% CI 19.3% to 65.6%) for each boundary point incr...","publisher":"MDPI AG","publication_date":{"day":null,"month":null,"year":2019,"errors":{}},"publication_name":"International Journal of Environmental Research and Public Health"},"translated_abstract":"The El Niño Southern Oscillation (ENSO) is a major driver of climatic variability that can have far reaching consequences for public health globally. We explored whether global, regional and country-level rates of people affected by natural disasters (PAD) are linked to ENSO. Annual numbers of PAD between 1964–2017 recorded on the EM-DAT disaster database were combined with UN population data to create PAD rates. Time-series regression was used to assess de-trended associations between PAD and 2 ENSO indices: Oceanic Niño Index (ONI) and multivariate El Niño Index (MEI). Over 95% of PAD were caused by floods, droughts or storms, with over 75% of people affected by these three disasters residing in Asia. Globally, drought-related PAD rate increased sharply in El Niño years (versus neutral years). Flood events were the disaster type most strongly associated with El Niño regionally: in South Asia, flood-related PAD increased by 40.5% (95% CI 19.3% to 65.6%) for each boundary point incr...","internal_url":"https://www.academia.edu/79799690/Time_Series_Study_of_Associations_between_Rates_of_People_Affected_by_Disasters_and_the_El_Ni%C3%B1o_Southern_Oscillation_ENSO_Cycle","translated_internal_url":"","created_at":"2022-05-24T00:50:42.677-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":27221904,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":86392715,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86392715/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/86392715/download_file?st=MTczMzkxMTU0NCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Time_Series_Study_of_Associations_betwee.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86392715/pdf-libre.pdf?1653378821=\u0026response-content-disposition=attachment%3B+filename%3DTime_Series_Study_of_Associations_betwee.pdf\u0026Expires=1733915144\u0026Signature=QK6QmUWLzDiI2uWurymLRq210Uczel1kY~cOVTGvhUnCWKY1EpYFxUxzKwm0wrft1u15qpEIEDQfftXlzCkfgco1ojRAeLtdkMq-Mrklj-s61AxB0aMtjQCwO6uIkBUGLzgFWIaz7s09gnBJmg94eR~Gz4ualrdk9Id9SYwGfXNg4NYhQ4BakALNUbnrWzUy1Oy9IStoduhFKQ~qHyagUgNkLJcaxrTAEGbMXtnr~vxh4YTDhoDmbztD~iGLi8H7P2NVVrx4JcA8ATP4TikmkH4JrarOHu7bjrWlt7QSxjaRVYS2Gz9fPVI7hzuMXfhg9Br5zvu1H0LXwVYODub1Gw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Time_Series_Study_of_Associations_between_Rates_of_People_Affected_by_Disasters_and_the_El_Niño_Southern_Oscillation_ENSO_Cycle","translated_slug":"","page_count":16,"language":"en","content_type":"Work","summary":"The El Niño Southern Oscillation (ENSO) is a major driver of climatic variability that can have far reaching consequences for public health globally. We explored whether global, regional and country-level rates of people affected by natural disasters (PAD) are linked to ENSO. Annual numbers of PAD between 1964–2017 recorded on the EM-DAT disaster database were combined with UN population data to create PAD rates. Time-series regression was used to assess de-trended associations between PAD and 2 ENSO indices: Oceanic Niño Index (ONI) and multivariate El Niño Index (MEI). Over 95% of PAD were caused by floods, droughts or storms, with over 75% of people affected by these three disasters residing in Asia. Globally, drought-related PAD rate increased sharply in El Niño years (versus neutral years). Flood events were the disaster type most strongly associated with El Niño regionally: in South Asia, flood-related PAD increased by 40.5% (95% CI 19.3% to 65.6%) for each boundary point incr...","owner":{"id":27221904,"first_name":"Glenn","middle_initials":null,"last_name":"McGregor","page_name":"GlennMcGregor","domain_name":"durham","created_at":"2015-03-04T12:52:52.550-08:00","display_name":"Glenn McGregor","url":"https://durham.academia.edu/GlennMcGregor"},"attachments":[{"id":86392715,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86392715/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/86392715/download_file?st=MTczMzkxMTU0NCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Time_Series_Study_of_Associations_betwee.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86392715/pdf-libre.pdf?1653378821=\u0026response-content-disposition=attachment%3B+filename%3DTime_Series_Study_of_Associations_betwee.pdf\u0026Expires=1733915144\u0026Signature=QK6QmUWLzDiI2uWurymLRq210Uczel1kY~cOVTGvhUnCWKY1EpYFxUxzKwm0wrft1u15qpEIEDQfftXlzCkfgco1ojRAeLtdkMq-Mrklj-s61AxB0aMtjQCwO6uIkBUGLzgFWIaz7s09gnBJmg94eR~Gz4ualrdk9Id9SYwGfXNg4NYhQ4BakALNUbnrWzUy1Oy9IStoduhFKQ~qHyagUgNkLJcaxrTAEGbMXtnr~vxh4YTDhoDmbztD~iGLi8H7P2NVVrx4JcA8ATP4TikmkH4JrarOHu7bjrWlt7QSxjaRVYS2Gz9fPVI7hzuMXfhg9Br5zvu1H0LXwVYODub1Gw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":85038,"name":"Environmental public health","url":"https://www.academia.edu/Documents/in/Environmental_public_health"}],"urls":[{"id":20728224,"url":"https://www.mdpi.com/1660-4601/16/17/3146/pdf"}]}, 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="79799689"><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/79799689/Humidity_A_review_and_primer_on_atmospheric_moisture_and_human_health"><img alt="Research paper thumbnail of Humidity: A review and primer on atmospheric moisture and human health" class="work-thumbnail" src="https://attachments.academia-assets.com/86392774/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/79799689/Humidity_A_review_and_primer_on_atmospheric_moisture_and_human_health">Humidity: A review and primer on atmospheric moisture and human health</a></div><div class="wp-workCard_item"><span>Environmental research</span><span>, Jan 18, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Research examining associations between weather and human health frequently includes the effects ...</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">Research examining associations between weather and human health frequently includes the effects of atmospheric humidity. A large number of humidity variables have been developed for numerous purposes, but little guidance is available to health researchers regarding appropriate variable selection. We examine a suite of commonly used humidity variables and summarize both the medical and biometeorological literature on associations between humidity and human health. As an example of the importance of humidity variable selection, we correlate numerous hourly humidity variables to daily respiratory syncytial virus isolates in Singapore from 1992 to 1994. Most water-vapor mass based variables (specific humidity, absolute humidity, mixing ratio, dewpoint temperature, vapor pressure) exhibit comparable correlations. Variables that include a thermal component (relative humidity, dewpoint depression, saturation vapor pressure) exhibit strong diurnality and seasonality. Humidity variable sele...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6b773482b8f7b54110866128858489ee" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":86392774,"asset_id":79799689,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/86392774/download_file?st=MTczMzkxMTU0NCw4LjIyMi4yMDguMTQ2&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="79799689"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="79799689"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79799689; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79799689]").text(description); $(".js-view-count[data-work-id=79799689]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79799689; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79799689']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 79799689, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "6b773482b8f7b54110866128858489ee" } } $('.js-work-strip[data-work-id=79799689]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79799689,"title":"Humidity: A review and primer on atmospheric moisture and human health","translated_title":"","metadata":{"abstract":"Research examining associations between weather and human health frequently includes the effects of atmospheric humidity. A large number of humidity variables have been developed for numerous purposes, but little guidance is available to health researchers regarding appropriate variable selection. We examine a suite of commonly used humidity variables and summarize both the medical and biometeorological literature on associations between humidity and human health. As an example of the importance of humidity variable selection, we correlate numerous hourly humidity variables to daily respiratory syncytial virus isolates in Singapore from 1992 to 1994. Most water-vapor mass based variables (specific humidity, absolute humidity, mixing ratio, dewpoint temperature, vapor pressure) exhibit comparable correlations. Variables that include a thermal component (relative humidity, dewpoint depression, saturation vapor pressure) exhibit strong diurnality and seasonality. Humidity variable sele...","publication_date":{"day":18,"month":1,"year":2015,"errors":{}},"publication_name":"Environmental research"},"translated_abstract":"Research examining associations between weather and human health frequently includes the effects of atmospheric humidity. A large number of humidity variables have been developed for numerous purposes, but little guidance is available to health researchers regarding appropriate variable selection. We examine a suite of commonly used humidity variables and summarize both the medical and biometeorological literature on associations between humidity and human health. As an example of the importance of humidity variable selection, we correlate numerous hourly humidity variables to daily respiratory syncytial virus isolates in Singapore from 1992 to 1994. Most water-vapor mass based variables (specific humidity, absolute humidity, mixing ratio, dewpoint temperature, vapor pressure) exhibit comparable correlations. Variables that include a thermal component (relative humidity, dewpoint depression, saturation vapor pressure) exhibit strong diurnality and seasonality. 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Our vulnerability assessment methods will consider earlier attempts to develop risk indexing methods for dams, but will be designed to be applied to Mississippi&#39;s entire database of over 3,700 dams. Unlike earlier efforts to dams, which emphasized hazards posed by the dams, our methods will be designed to consider intrinsic and extrinsic vulnerability, and consider consequences as well. Intrinsic sources of vulnerability consider such factors as the potential for unstable slopes, piping, and spillway inadequacy. Extrinsic sources of vulnerability will include features such as the potential for intentional or unintentional human acts. Other factors that will be included will be the potential for neglect of maintenance of the dam and susceptibility to interference from wildlife. Consequences will be assessed by considering the d...</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="79799688"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="79799688"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79799688; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79799688]").text(description); $(".js-view-count[data-work-id=79799688]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79799688; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79799688']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 79799688, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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" } } $('.js-work-strip[data-work-id=79799688]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79799688,"title":"A Vulnerability Assessment Approach for Dams of Mississippi","translated_title":"","metadata":{"abstract":"As part of a state-wide effort to characterize the vulnerability of Mississippi\u0026#39;s dams, we are developing a new set of vulnerability assessment tools. Our vulnerability assessment methods will consider earlier attempts to develop risk indexing methods for dams, but will be designed to be applied to Mississippi\u0026#39;s entire database of over 3,700 dams. Unlike earlier efforts to dams, which emphasized hazards posed by the dams, our methods will be designed to consider intrinsic and extrinsic vulnerability, and consider consequences as well. Intrinsic sources of vulnerability consider such factors as the potential for unstable slopes, piping, and spillway inadequacy. Extrinsic sources of vulnerability will include features such as the potential for intentional or unintentional human acts. Other factors that will be included will be the potential for neglect of maintenance of the dam and susceptibility to interference from wildlife. 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Other factors that will be included will be the potential for neglect of maintenance of the dam and susceptibility to interference from wildlife. Consequences will be assessed by considering the d...","internal_url":"https://www.academia.edu/79799688/A_Vulnerability_Assessment_Approach_for_Dams_of_Mississippi","translated_internal_url":"","created_at":"2022-05-24T00:50:42.431-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":27221904,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"A_Vulnerability_Assessment_Approach_for_Dams_of_Mississippi","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"As part of a state-wide effort to characterize the vulnerability of Mississippi\u0026#39;s dams, we are developing a new set of vulnerability assessment tools. 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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="79799686"><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/79799686/Winter_Season_Climate_Prediction_for_the_U_K_Health_Sector"><img alt="Research paper thumbnail of Winter-Season Climate Prediction for the U.K. Health Sector" class="work-thumbnail" src="https://attachments.academia-assets.com/86392772/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/79799686/Winter_Season_Climate_Prediction_for_the_U_K_Health_Sector">Winter-Season Climate Prediction for the U.K. Health Sector</a></div><div class="wp-workCard_item"><span>Journal of Applied Meteorology and Climatology</span><span>, 2006</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The winter climate of the British Isles is characterized by considerable interannual variability,...</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 winter climate of the British Isles is characterized by considerable interannual variability, which, because of the general climate sensitivity of a number of health outcomes, places at times considerable pressure on the provision of health services. Seasonal climate forecasts potentially could improve management within the health sector and assist in hedging against the vagaries of climatic variability. For this reason, an exploratory analysis of the potential utility of seasonal climate forecasting for the health sector in the United Kingdom is presented here. Study results revealed that the general level of winter mortality at the monthly to seasonal time scale possesses a strong association with simple descriptors of winter climate such as maximum temperature and the number of days below a given temperature threshold. Because such climate indices can be derived from the output of coupled seasonal climate prediction models, predictions of general levels of mortality may be po...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fd4876e8e7798a433234d9a6faf1fabb" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":86392772,"asset_id":79799686,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/86392772/download_file?st=MTczMzkxMTU0NCw4LjIyMi4yMDguMTQ2&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="79799686"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="79799686"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79799686; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79799686]").text(description); $(".js-view-count[data-work-id=79799686]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79799686; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79799686']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 79799686, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "fd4876e8e7798a433234d9a6faf1fabb" } } $('.js-work-strip[data-work-id=79799686]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79799686,"title":"Winter-Season Climate Prediction for the U.K. Health Sector","translated_title":"","metadata":{"abstract":"The winter climate of the British Isles is characterized by considerable interannual variability, which, because of the general climate sensitivity of a number of health outcomes, places at times considerable pressure on the provision of health services. 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Study results revealed that the general level of winter mortality at the monthly to seasonal time scale possesses a strong association with simple descriptors of winter climate such as maximum temperature and the number of days below a given temperature threshold. 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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="63432106"><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/63432106/Eastern_Antarctic_Peninsula_precipitation_delivery_mechanisms_process_studies_and_back_trajectory_accuracy_evaluation"><img alt="Research paper thumbnail of Eastern Antarctic Peninsula precipitation delivery mechanisms: process studies and back trajectory accuracy evaluation" class="work-thumbnail" src="https://attachments.academia-assets.com/75864272/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/63432106/Eastern_Antarctic_Peninsula_precipitation_delivery_mechanisms_process_studies_and_back_trajectory_accuracy_evaluation">Eastern Antarctic Peninsula precipitation delivery mechanisms: process studies and back trajectory accuracy evaluation</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The atmospheric circulation patterns that result in precipitation events at a site on the eastern...</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 atmospheric circulation patterns that result in precipitation events at a site on the eastern Antarctic Peninsula (AP) are investigated using back trajectories (BTs) driven by ERA-40 data. Moisture delivery occurs from the east and west depending on the location of blocking events in the South Atlantic and Pacific Oceans. Observations are sparse in this region, so our process studies compare the trajectories (and the ERA-40 fields from which they were derived) with advanced very high resolution radiometer (AVHRR) satellite images. 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For this reason, ENSO has attracted much interest in the climate and health science community, with many analysts investigating ENSO health links through considering the degree of dependency of the incidence of a range of climate diseases on the occurrence of El Niño events. Because of the mounting interest in the relationship between ENSO as a major mode of climatic variability and health, this paper presents an overview of the basic characteristics of the ENSO phenomenon and its climate impacts, discusses the use of ENSO indices in climate and health research, and outlines the present understanding of ENSO health associations. Also touched upon are ENSO-based seasonal health forecasting and the possible impacts of climate change on ENSO and the implications this holds for future assessments of ENSO ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8fec803fa3cea9a6ad3fa9e7ea29ab43" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":67945544,"asset_id":49648318,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/67945544/download_file?st=MTczMzkxMTU0NSw4LjIyMi4yMDguMTQ2&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="49648318"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="49648318"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 49648318; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=49648318]").text(description); $(".js-view-count[data-work-id=49648318]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 49648318; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='49648318']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 49648318, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "8fec803fa3cea9a6ad3fa9e7ea29ab43" } } $('.js-work-strip[data-work-id=49648318]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":49648318,"title":"El Niño Southern Oscillation (ENSO) and Health: An Overview for Climate and Health Researchers","translated_title":"","metadata":{"abstract":"The El Niño Southern Oscillation (ENSO) is an important mode of climatic variability that exerts a discernible impact on ecosystems and society through alterations in climate patterns. 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Also touched upon are ENSO-based seasonal health forecasting and the possible impacts of climate change on ENSO and the implications this holds for future assessments of ENSO ...","publisher":"MDPI AG","publication_name":"Atmosphere"},"translated_abstract":"The El Niño Southern Oscillation (ENSO) is an important mode of climatic variability that exerts a discernible impact on ecosystems and society through alterations in climate patterns. For this reason, ENSO has attracted much interest in the climate and health science community, with many analysts investigating ENSO health links through considering the degree of dependency of the incidence of a range of climate diseases on the occurrence of El Niño events. 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Also touched upon are ENSO-based seasonal health forecasting and the possible impacts of climate change on ENSO and the implications this holds for future assessments of ENSO ...","internal_url":"https://www.academia.edu/49648318/El_Ni%C3%B1o_Southern_Oscillation_ENSO_and_Health_An_Overview_for_Climate_and_Health_Researchers","translated_internal_url":"","created_at":"2021-07-09T07:05:17.789-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":27221904,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":67945544,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67945544/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/67945544/download_file?st=MTczMzkxMTU0NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"El_Nino_Southern_Oscillation_ENSO_and_He.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67945544/pdf-libre.pdf?1625842310=\u0026response-content-disposition=attachment%3B+filename%3DEl_Nino_Southern_Oscillation_ENSO_and_He.pdf\u0026Expires=1733886391\u0026Signature=aSvrmXPicpimIoSswCP3i6AACODtslTJCcbgoj~jP1xNH~DIOzeKNLwShcaPA5ivs9JUKKKuCgYWADeaecpZd5op56~Wu2TejjHKxKNVRtMqv9qnCmwcOTLNOCdPCwTG6NJfyivzJaxwOmwpNtxr6URMP4HM0MLU-09-xoaRXM2hwDkLNfVdL5orkhuX1N98F-SFgmgT0GL--RLXnLji1vvQl9wfxv9ATIgGGidxD22BbQb7qKqOocPkTM0Gxa1BkDI1Q1QUz1oYBItkT6Yx6NVbNLEckRp~Rl7vz9ZuSvlgKfgyBRvXu0dfjvLcdqJ1rDlZ7ZfZnBMtNGIIb4U2hg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"El_Niño_Southern_Oscillation_ENSO_and_Health_An_Overview_for_Climate_and_Health_Researchers","translated_slug":"","page_count":32,"language":"en","content_type":"Work","summary":"The El Niño Southern Oscillation (ENSO) is an important mode of climatic variability that exerts a discernible impact on ecosystems and society through alterations in climate patterns. For this reason, ENSO has attracted much interest in the climate and health science community, with many analysts investigating ENSO health links through considering the degree of dependency of the incidence of a range of climate diseases on the occurrence of El Niño events. Because of the mounting interest in the relationship between ENSO as a major mode of climatic variability and health, this paper presents an overview of the basic characteristics of the ENSO phenomenon and its climate impacts, discusses the use of ENSO indices in climate and health research, and outlines the present understanding of ENSO health associations. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="2677699" id="papers"><div class="js-work-strip profile--work_container" data-work-id="113370329"><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/113370329/Tropical_climatology_An_introduction_to_the_climates_of_the_low_latitudes"><img alt="Research paper thumbnail of Tropical climatology — An introduction to the climates of the low latitudes" class="work-thumbnail" src="https://attachments.academia-assets.com/110346185/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/113370329/Tropical_climatology_An_introduction_to_the_climates_of_the_low_latitudes">Tropical climatology — An introduction to the climates of the low latitudes</a></div><div class="wp-workCard_item"><span>Earth-Science Reviews</span><span>, 1977</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e9c6a1c7ed9e62e64b4a652b906c4d8d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":110346185,"asset_id":113370329,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/110346185/download_file?st=MTczMzkxMTU0NSw4LjIyMi4yMDguMTQ2&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="113370329"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113370329"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113370329; 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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="112143844"><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/112143844/Exploring_Winter_Mortality_Variability_in_Five_Regions_of_England_Using_Back_Trajectory_Analysis"><img alt="Research paper thumbnail of Exploring Winter Mortality Variability in Five Regions of England Using Back Trajectory Analysis" class="work-thumbnail" src="https://attachments.academia-assets.com/109464836/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/112143844/Exploring_Winter_Mortality_Variability_in_Five_Regions_of_England_Using_Back_Trajectory_Analysis">Exploring Winter Mortality Variability in Five Regions of England Using Back Trajectory Analysis</a></div><div class="wp-workCard_item"><span>Earth Interactions</span><span>, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper aims to define atmospheric pathways related with the occurrence of daily winter low te...</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 aims to define atmospheric pathways related with the occurrence of daily winter low temperature episodes (LTE) in England, for the 26-yr period 1974–99, and to reveal possible associations with increased mortality rates. For this purpose, backward airmass trajectories, corresponding to LTE in five regions of England, were deployed. A statistically significant increase in mortality levels, at the 0.05 level, was found for LTE, compared to non-LTE days across all five regions. Seven categories of atmospheric trajectory patterns associated with LTE were identified: east, local, west, North Atlantic, Arctic, southwest, and Scandinavian. Consideration of the link between airmass trajectory patterns and mortality levels by region revealed a possible west-to-east split in the nature of air masses connected with elevated mortality. Specifically, for the West Midlands and northwest regions, relatively warm winter weather conditions from the west, most likely associated with the ea...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="10084fcb9ab1a071c03fda76b343a909" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":109464836,"asset_id":112143844,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/109464836/download_file?st=MTczMzkxMTU0NSw4LjIyMi4yMDguMTQ2&st=MTczMzkxMTU0NCw4LjIyMi4yMDguMTQ2&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="112143844"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="112143844"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 112143844; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=112143844]").text(description); $(".js-view-count[data-work-id=112143844]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 112143844; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='112143844']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 112143844, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "10084fcb9ab1a071c03fda76b343a909" } } $('.js-work-strip[data-work-id=112143844]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":112143844,"title":"Exploring Winter Mortality Variability in Five Regions of England Using Back Trajectory Analysis","translated_title":"","metadata":{"abstract":"This paper aims to define atmospheric pathways related with the occurrence of daily winter low temperature episodes (LTE) in England, for the 26-yr period 1974–99, and to reveal possible associations with increased mortality rates. 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Specifically, for the West Midlands and northwest regions, relatively warm winter weather conditions from the west, most likely associated with the ea...","owner":{"id":27221904,"first_name":"Glenn","middle_initials":null,"last_name":"McGregor","page_name":"GlennMcGregor","domain_name":"durham","created_at":"2015-03-04T12:52:52.550-08:00","display_name":"Glenn McGregor","url":"https://durham.academia.edu/GlennMcGregor"},"attachments":[{"id":109464836,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/109464836/thumbnails/1.jpg","file_name":"80e1eeced84bda670b9547b0656b17be48ff.pdf","download_url":"https://www.academia.edu/attachments/109464836/download_file?st=MTczMzkxMTU0NSw4LjIyMi4yMDguMTQ2&st=MTczMzkxMTU0NCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Exploring_Winter_Mortality_Variability_i.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/109464836/80e1eeced84bda670b9547b0656b17be48ff-libre.pdf?1703346900=\u0026response-content-disposition=attachment%3B+filename%3DExploring_Winter_Mortality_Variability_i.pdf\u0026Expires=1733915144\u0026Signature=VRh4Waaph-FQcogOKsA7Wcj2K5uON8Nifd7RIhA16-mlYFiyW4wFJFmeCUbF3x9jYwf-ABfpaUEEinwaKJIAWfK6EpspIeXcKHaHyIvT3PpzSawOKhVrmeYJjNB-kg5SyUvtCDztrAXXIT81MO2rDDFC-w2jhisT0-3F1mSPmOJPiEX6CI52Ci1T0k6GmwFYCYMqqp-4BYuaraCNCMplyBNxKyDWfTyj-f1WZA-9G0gdliX1diwZO1XWr1dETuZQkaUkR92dwiNsrihBFWdVBk4fgWD1XoJ4oWxz66SPoDApkOrBNswL4G-8mAOlY1wP7McEOQuPqSWtKfN5JtpPbg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"},{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"},{"id":409,"name":"Geophysics","url":"https://www.academia.edu/Documents/in/Geophysics"},{"id":3754,"name":"Climatology","url":"https://www.academia.edu/Documents/in/Climatology"},{"id":68049,"name":"Arctic","url":"https://www.academia.edu/Documents/in/Arctic"},{"id":130145,"name":"Advection","url":"https://www.academia.edu/Documents/in/Advection"}],"urls":[{"id":37623348,"url":"http://journals.ametsoc.org/ei/article-pdf/20/1/1/4099641/ei-d-15-0012_1.pdf"}]}, 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="98163481"><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/98163481/Climate_Change_Grape_Phenology_and_Frost_Risk_in_Southeast_England"><img alt="Research paper thumbnail of Climate Change, Grape Phenology, and Frost Risk in Southeast England" class="work-thumbnail" src="https://attachments.academia-assets.com/99589806/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/98163481/Climate_Change_Grape_Phenology_and_Frost_Risk_in_Southeast_England">Climate Change, Grape Phenology, and Frost Risk in Southeast England</a></div><div class="wp-workCard_item"><span>Australian Journal of Grape and Wine Research</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Background and Aims. The cultivation of grapevines in England is expected to benefit under climat...</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">Background and Aims. The cultivation of grapevines in England is expected to benefit under climate change. Yet assessments of future wine climates remain undeveloped. Accordingly, this study assesses how climate change might modify frost risk for Chardonnay in the Southeast England viticulture region. Methods and Results. Cold-bias-corrected climate projections from the UKCP18 Regional (12 km) perturbed parameter ensemble (PPE) climate model under RCP8.5 are applied with phenological models to determine how frost risk and the timing of key grapevine phenophases might alter under climate change. Notwithstanding the uncertainties associated with projections of key viticulture-related bioclimate variables, the last spring frost was found to advance at a greater rate than budburst, indicating a general decrease in frost risk. Conclusions. Although projections point to an improving climate for viticulture across Southeast England, frost will remain a risk for viticulture, albeit at a red...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ef220159b8482be0a706baa5a8da294a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":99589806,"asset_id":98163481,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/99589806/download_file?st=MTczMzkxMTU0NSw4LjIyMi4yMDguMTQ2&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="98163481"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="98163481"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 98163481; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=98163481]").text(description); $(".js-view-count[data-work-id=98163481]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 98163481; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='98163481']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 98163481, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "ef220159b8482be0a706baa5a8da294a" } } $('.js-work-strip[data-work-id=98163481]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":98163481,"title":"Climate Change, Grape Phenology, and Frost Risk in Southeast England","translated_title":"","metadata":{"abstract":"Background and Aims. 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Notwithstanding the uncertainties associated with projections of key viticulture-related bioclimate variables, the last spring frost was found to advance at a greater rate than budburst, indicating a general decrease in frost risk. Conclusions. Although projections point to an improving climate for viticulture across Southeast England, frost will remain a risk for viticulture, albeit at a red...","internal_url":"https://www.academia.edu/98163481/Climate_Change_Grape_Phenology_and_Frost_Risk_in_Southeast_England","translated_internal_url":"","created_at":"2023-03-08T07:38:58.267-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":27221904,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":99589806,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/99589806/thumbnails/1.jpg","file_name":"9835317.pdf","download_url":"https://www.academia.edu/attachments/99589806/download_file?st=MTczMzkxMTU0NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Climate_Change_Grape_Phenology_and_Frost.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/99589806/9835317-libre.pdf?1678290608=\u0026response-content-disposition=attachment%3B+filename%3DClimate_Change_Grape_Phenology_and_Frost.pdf\u0026Expires=1733886390\u0026Signature=bLTPV~3CtEwIHOmgATibGu8M1CI7dPjbg5gB7~7e~SUq9gsTbWQV6tNPCgE8nYrSXwWUjRuyvuTfFdk76ErQSBR6z272M-cQ1ygYpGXf2jGMfWkZPYrBxjHz-hkwSksXxxMRIoBLQFHk0iv8B9JhkR0HRskw1eZ9BCB93JNDkhbsEaaP20~4dQprbl1dHgzbxpVCRJmqCSfHBLAMTR4Xiv5NiBNKl-4JVxfFvSfO21fRpKuKa-8QZwBl3Rrp29OGe-uzzOeJBQn8dBb3gjsd4itd30GtebFg1Udk9PHMHKqxe58PVFBJHsfxSAmOXejitj8nbPbMM4VgWXKc2AJkiA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Climate_Change_Grape_Phenology_and_Frost_Risk_in_Southeast_England","translated_slug":"","page_count":18,"language":"en","content_type":"Work","summary":"Background and Aims. 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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="98163479"><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/98163479/Climatic_characteristics_of_summer_human_thermal_discomfort_in_Athens_and_its_connection_to_atmospheric_circulation"><img alt="Research paper thumbnail of Climatic characteristics of summer human thermal discomfort in Athens and its connection to atmospheric circulation" class="work-thumbnail" src="https://attachments.academia-assets.com/99589805/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/98163479/Climatic_characteristics_of_summer_human_thermal_discomfort_in_Athens_and_its_connection_to_atmospheric_circulation">Climatic characteristics of summer human thermal discomfort in Athens and its connection to atmospheric circulation</a></div><div class="wp-workCard_item"><span>Natural Hazards and Earth System Sciences</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The climate characteristics of summer human thermal discomfort in Athens and its connection to at...</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 climate characteristics of summer human thermal discomfort in Athens and its connection to atmospheric circulation are studied for the period 1954-2012. The human thermal discomfort is examined in terms of the Predicted Mean Vote (PMV) discomfort index for calm and light wind (3 ms −1) conditions. Its inter-annual variability is characterised by a significant increase from the middle 1980s to the end of the study period. The onset and the cessation of the discomfort period are found to take place around the beginning of July and the end of August respectively, but from middle 1980s the dates of onset and cessation have slightly moved earlier and later, respectively, leading to a longer summer discomfort period. The connection between human thermal discomfort and atmospheric circulation is studied by examining the distribution of discomfort cases across six objectively defined circulation types over Europe, based on Athens weather characteristics. High values of the PMV discomfort index are mainly associated with two typical high-summer pressure patterns with the intensity of discomfort depending on the pressure gradient over the Aegean Sea. On the contrary, low PMV discomfort index values prevail mainly on days typified by the other four circulation types, which are more frequent during May, June, and September.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="439f0ad22e361b9a0ad2c339ae4c8e00" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":99589805,"asset_id":98163479,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/99589805/download_file?st=MTczMzkxMTU0NSw4LjIyMi4yMDguMTQ2&st=MTczMzkxMTU0NCw4LjIyMi4yMDguMTQ2&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="98163479"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="98163479"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 98163479; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=98163479]").text(description); $(".js-view-count[data-work-id=98163479]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 98163479; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='98163479']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 98163479, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "439f0ad22e361b9a0ad2c339ae4c8e00" } } $('.js-work-strip[data-work-id=98163479]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":98163479,"title":"Climatic characteristics of summer human thermal discomfort in Athens and its connection to atmospheric circulation","translated_title":"","metadata":{"publisher":"Copernicus GmbH","grobid_abstract":"The climate characteristics of summer human thermal discomfort in Athens and its connection to atmospheric circulation are studied for the period 1954-2012. 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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="79799691"><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/79799691/Weather_patterns_and_all_cause_mortality_in_England_UK"><img alt="Research paper thumbnail of Weather patterns and all-cause mortality in England, UK" class="work-thumbnail" src="https://attachments.academia-assets.com/86392777/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/79799691/Weather_patterns_and_all_cause_mortality_in_England_UK">Weather patterns and all-cause mortality in England, UK</a></div><div class="wp-workCard_item"><span>International Journal of Biometeorology</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Cold-and heat-related mortality poses significant public health concerns worldwide. Although ther...</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">Cold-and heat-related mortality poses significant public health concerns worldwide. Although there are numerous studies dealing with the association between extreme ambient temperature and mortality, only a small number adopt a synoptic climatological approach in order to understand the nature of weather systems that precipitate increases in cold or heatrelated mortality. In this paper, the Lamb Weather Type synoptic classification is used to examine the relationship between daily mortality and weather patterns across nine regions of England. Analysis results revealed that the population in England is more susceptible to cold weather. Furthermore, it was found that the Easterly weather types are the most hazardous for public health all-year-long, however during the cold period the results are more evident and spatially homogenous. Nevertheless, it is noteworthy that the most dangerous weather conditions are not always associated with extreme (high or low) temperatures, a finding which points to the complexity of weather-related health effects and highlights the importance of a synoptic climatological approach in elucidating the relationship between temperature and mortality.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d13776a55e1a472a0ae685797b355611" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":86392777,"asset_id":79799691,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/86392777/download_file?st=MTczMzkxMTU0NSw4LjIyMi4yMDguMTQ2&st=MTczMzkxMTU0NCw4LjIyMi4yMDguMTQ2&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="79799691"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="79799691"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79799691; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79799691]").text(description); $(".js-view-count[data-work-id=79799691]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79799691; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79799691']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 79799691, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "d13776a55e1a472a0ae685797b355611" } } $('.js-work-strip[data-work-id=79799691]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79799691,"title":"Weather patterns and all-cause mortality in England, UK","translated_title":"","metadata":{"publisher":"Springer Science and Business Media LLC","grobid_abstract":"Cold-and heat-related mortality poses significant public health concerns worldwide. 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Nevertheless, it is noteworthy that the most dangerous weather conditions are not always associated with extreme (high or low) temperatures, a finding which points to the complexity of weather-related health effects and highlights the importance of a synoptic climatological approach in elucidating the relationship between temperature and mortality.","publication_date":{"day":null,"month":null,"year":2019,"errors":{}},"publication_name":"International Journal of Biometeorology","grobid_abstract_attachment_id":86392777},"translated_abstract":null,"internal_url":"https://www.academia.edu/79799691/Weather_patterns_and_all_cause_mortality_in_England_UK","translated_internal_url":"","created_at":"2022-05-24T00:50:42.850-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":27221904,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":86392777,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86392777/thumbnails/1.jpg","file_name":"29756.pdf","download_url":"https://www.academia.edu/attachments/86392777/download_file?st=MTczMzkxMTU0NSw4LjIyMi4yMDguMTQ2&st=MTczMzkxMTU0NCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Weather_patterns_and_all_cause_mortality.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86392777/29756-libre.pdf?1653378827=\u0026response-content-disposition=attachment%3B+filename%3DWeather_patterns_and_all_cause_mortality.pdf\u0026Expires=1733915144\u0026Signature=JeetEjtq1dKoYRtir8UmuO~yygAY7HcZy72-HAKCM25L9revoaPtKgAbes2B-K476qmBhViPbmEiG8hgAKcioxFV1gVvTSnnOhHxdWKUrcBNz~clfG6sBWUyXSv0DrWx1decEb6Eg3zteX8~oRRqFJWavLe6cD0VVP8deqiK~s-dNKCztwP5i5zyv58YfZI3nr3GEPi-ocWxZOMqvdjANbF9mds34BppXhSMSvb~GKEhEmr731lYSvvxDDW7PeHRNfxVXZT13-u8ZLnB1fFkcnURr189DR1I~6jni2lmZO6q2DSXo-~WCabikGACy78EHJlZxgE1QKjLqk1ycDC1~Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Weather_patterns_and_all_cause_mortality_in_England_UK","translated_slug":"","page_count":24,"language":"en","content_type":"Work","summary":"Cold-and heat-related mortality poses significant public health concerns worldwide. Although there are numerous studies dealing with the association between extreme ambient temperature and mortality, only a small number adopt a synoptic climatological approach in order to understand the nature of weather systems that precipitate increases in cold or heatrelated mortality. In this paper, the Lamb Weather Type synoptic classification is used to examine the relationship between daily mortality and weather patterns across nine regions of England. Analysis results revealed that the population in England is more susceptible to cold weather. Furthermore, it was found that the Easterly weather types are the most hazardous for public health all-year-long, however during the cold period the results are more evident and spatially homogenous. Nevertheless, it is noteworthy that the most dangerous weather conditions are not always associated with extreme (high or low) temperatures, a finding which points to the complexity of weather-related health effects and highlights the importance of a synoptic climatological approach in elucidating the relationship between temperature and mortality.","owner":{"id":27221904,"first_name":"Glenn","middle_initials":null,"last_name":"McGregor","page_name":"GlennMcGregor","domain_name":"durham","created_at":"2015-03-04T12:52:52.550-08:00","display_name":"Glenn McGregor","url":"https://durham.academia.edu/GlennMcGregor"},"attachments":[{"id":86392777,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86392777/thumbnails/1.jpg","file_name":"29756.pdf","download_url":"https://www.academia.edu/attachments/86392777/download_file?st=MTczMzkxMTU0NSw4LjIyMi4yMDguMTQ2&st=MTczMzkxMTU0NCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Weather_patterns_and_all_cause_mortality.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86392777/29756-libre.pdf?1653378827=\u0026response-content-disposition=attachment%3B+filename%3DWeather_patterns_and_all_cause_mortality.pdf\u0026Expires=1733915144\u0026Signature=JeetEjtq1dKoYRtir8UmuO~yygAY7HcZy72-HAKCM25L9revoaPtKgAbes2B-K476qmBhViPbmEiG8hgAKcioxFV1gVvTSnnOhHxdWKUrcBNz~clfG6sBWUyXSv0DrWx1decEb6Eg3zteX8~oRRqFJWavLe6cD0VVP8deqiK~s-dNKCztwP5i5zyv58YfZI3nr3GEPi-ocWxZOMqvdjANbF9mds34BppXhSMSvb~GKEhEmr731lYSvvxDDW7PeHRNfxVXZT13-u8ZLnB1fFkcnURr189DR1I~6jni2lmZO6q2DSXo-~WCabikGACy78EHJlZxgE1QKjLqk1ycDC1~Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"},{"id":18605,"name":"Biometeorology","url":"https://www.academia.edu/Documents/in/Biometeorology"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":60285,"name":"Atmospheric sciences","url":"https://www.academia.edu/Documents/in/Atmospheric_sciences"}],"urls":[{"id":20728225,"url":"http://link.springer.com/content/pdf/10.1007/s00484-019-01803-0.pdf"}]}, 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="79799690"><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/79799690/Time_Series_Study_of_Associations_between_Rates_of_People_Affected_by_Disasters_and_the_El_Ni%C3%B1o_Southern_Oscillation_ENSO_Cycle"><img alt="Research paper thumbnail of Time-Series Study of Associations between Rates of People Affected by Disasters and the El Niño Southern Oscillation (ENSO) Cycle" class="work-thumbnail" src="https://attachments.academia-assets.com/86392715/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/79799690/Time_Series_Study_of_Associations_between_Rates_of_People_Affected_by_Disasters_and_the_El_Ni%C3%B1o_Southern_Oscillation_ENSO_Cycle">Time-Series Study of Associations between Rates of People Affected by Disasters and the El Niño Southern Oscillation (ENSO) Cycle</a></div><div class="wp-workCard_item"><span>International Journal of Environmental Research and Public Health</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The El Niño Southern Oscillation (ENSO) is a major driver of climatic variability that can have f...</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 El Niño Southern Oscillation (ENSO) is a major driver of climatic variability that can have far reaching consequences for public health globally. We explored whether global, regional and country-level rates of people affected by natural disasters (PAD) are linked to ENSO. Annual numbers of PAD between 1964–2017 recorded on the EM-DAT disaster database were combined with UN population data to create PAD rates. Time-series regression was used to assess de-trended associations between PAD and 2 ENSO indices: Oceanic Niño Index (ONI) and multivariate El Niño Index (MEI). Over 95% of PAD were caused by floods, droughts or storms, with over 75% of people affected by these three disasters residing in Asia. Globally, drought-related PAD rate increased sharply in El Niño years (versus neutral years). Flood events were the disaster type most strongly associated with El Niño regionally: in South Asia, flood-related PAD increased by 40.5% (95% CI 19.3% to 65.6%) for each boundary point incr...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f1dac7ed29c58a2ad407f9fbdf85dba1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":86392715,"asset_id":79799690,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/86392715/download_file?st=MTczMzkxMTU0NSw4LjIyMi4yMDguMTQ2&st=MTczMzkxMTU0NCw4LjIyMi4yMDguMTQ2&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="79799690"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="79799690"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79799690; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79799690]").text(description); $(".js-view-count[data-work-id=79799690]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79799690; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79799690']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 79799690, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "f1dac7ed29c58a2ad407f9fbdf85dba1" } } $('.js-work-strip[data-work-id=79799690]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79799690,"title":"Time-Series Study of Associations between Rates of People Affected by Disasters and the El Niño Southern Oscillation (ENSO) Cycle","translated_title":"","metadata":{"abstract":"The El Niño Southern Oscillation (ENSO) is a major driver of climatic variability that can have far reaching consequences for public health globally. We explored whether global, regional and country-level rates of people affected by natural disasters (PAD) are linked to ENSO. Annual numbers of PAD between 1964–2017 recorded on the EM-DAT disaster database were combined with UN population data to create PAD rates. Time-series regression was used to assess de-trended associations between PAD and 2 ENSO indices: Oceanic Niño Index (ONI) and multivariate El Niño Index (MEI). Over 95% of PAD were caused by floods, droughts or storms, with over 75% of people affected by these three disasters residing in Asia. Globally, drought-related PAD rate increased sharply in El Niño years (versus neutral years). Flood events were the disaster type most strongly associated with El Niño regionally: in South Asia, flood-related PAD increased by 40.5% (95% CI 19.3% to 65.6%) for each boundary point incr...","publisher":"MDPI AG","publication_date":{"day":null,"month":null,"year":2019,"errors":{}},"publication_name":"International Journal of Environmental Research and Public Health"},"translated_abstract":"The El Niño Southern Oscillation (ENSO) is a major driver of climatic variability that can have far reaching consequences for public health globally. We explored whether global, regional and country-level rates of people affected by natural disasters (PAD) are linked to ENSO. Annual numbers of PAD between 1964–2017 recorded on the EM-DAT disaster database were combined with UN population data to create PAD rates. Time-series regression was used to assess de-trended associations between PAD and 2 ENSO indices: Oceanic Niño Index (ONI) and multivariate El Niño Index (MEI). Over 95% of PAD were caused by floods, droughts or storms, with over 75% of people affected by these three disasters residing in Asia. Globally, drought-related PAD rate increased sharply in El Niño years (versus neutral years). Flood events were the disaster type most strongly associated with El Niño regionally: in South Asia, flood-related PAD increased by 40.5% (95% CI 19.3% to 65.6%) for each boundary point incr...","internal_url":"https://www.academia.edu/79799690/Time_Series_Study_of_Associations_between_Rates_of_People_Affected_by_Disasters_and_the_El_Ni%C3%B1o_Southern_Oscillation_ENSO_Cycle","translated_internal_url":"","created_at":"2022-05-24T00:50:42.677-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":27221904,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":86392715,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86392715/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/86392715/download_file?st=MTczMzkxMTU0NSw4LjIyMi4yMDguMTQ2&st=MTczMzkxMTU0NCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Time_Series_Study_of_Associations_betwee.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86392715/pdf-libre.pdf?1653378821=\u0026response-content-disposition=attachment%3B+filename%3DTime_Series_Study_of_Associations_betwee.pdf\u0026Expires=1733915144\u0026Signature=QK6QmUWLzDiI2uWurymLRq210Uczel1kY~cOVTGvhUnCWKY1EpYFxUxzKwm0wrft1u15qpEIEDQfftXlzCkfgco1ojRAeLtdkMq-Mrklj-s61AxB0aMtjQCwO6uIkBUGLzgFWIaz7s09gnBJmg94eR~Gz4ualrdk9Id9SYwGfXNg4NYhQ4BakALNUbnrWzUy1Oy9IStoduhFKQ~qHyagUgNkLJcaxrTAEGbMXtnr~vxh4YTDhoDmbztD~iGLi8H7P2NVVrx4JcA8ATP4TikmkH4JrarOHu7bjrWlt7QSxjaRVYS2Gz9fPVI7hzuMXfhg9Br5zvu1H0LXwVYODub1Gw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Time_Series_Study_of_Associations_between_Rates_of_People_Affected_by_Disasters_and_the_El_Niño_Southern_Oscillation_ENSO_Cycle","translated_slug":"","page_count":16,"language":"en","content_type":"Work","summary":"The El Niño Southern Oscillation (ENSO) is a major driver of climatic variability that can have far reaching consequences for public health globally. We explored whether global, regional and country-level rates of people affected by natural disasters (PAD) are linked to ENSO. Annual numbers of PAD between 1964–2017 recorded on the EM-DAT disaster database were combined with UN population data to create PAD rates. Time-series regression was used to assess de-trended associations between PAD and 2 ENSO indices: Oceanic Niño Index (ONI) and multivariate El Niño Index (MEI). Over 95% of PAD were caused by floods, droughts or storms, with over 75% of people affected by these three disasters residing in Asia. Globally, drought-related PAD rate increased sharply in El Niño years (versus neutral years). Flood events were the disaster type most strongly associated with El Niño regionally: in South Asia, flood-related PAD increased by 40.5% (95% CI 19.3% to 65.6%) for each boundary point incr...","owner":{"id":27221904,"first_name":"Glenn","middle_initials":null,"last_name":"McGregor","page_name":"GlennMcGregor","domain_name":"durham","created_at":"2015-03-04T12:52:52.550-08:00","display_name":"Glenn McGregor","url":"https://durham.academia.edu/GlennMcGregor"},"attachments":[{"id":86392715,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86392715/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/86392715/download_file?st=MTczMzkxMTU0NSw4LjIyMi4yMDguMTQ2&st=MTczMzkxMTU0NCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Time_Series_Study_of_Associations_betwee.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86392715/pdf-libre.pdf?1653378821=\u0026response-content-disposition=attachment%3B+filename%3DTime_Series_Study_of_Associations_betwee.pdf\u0026Expires=1733915144\u0026Signature=QK6QmUWLzDiI2uWurymLRq210Uczel1kY~cOVTGvhUnCWKY1EpYFxUxzKwm0wrft1u15qpEIEDQfftXlzCkfgco1ojRAeLtdkMq-Mrklj-s61AxB0aMtjQCwO6uIkBUGLzgFWIaz7s09gnBJmg94eR~Gz4ualrdk9Id9SYwGfXNg4NYhQ4BakALNUbnrWzUy1Oy9IStoduhFKQ~qHyagUgNkLJcaxrTAEGbMXtnr~vxh4YTDhoDmbztD~iGLi8H7P2NVVrx4JcA8ATP4TikmkH4JrarOHu7bjrWlt7QSxjaRVYS2Gz9fPVI7hzuMXfhg9Br5zvu1H0LXwVYODub1Gw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":85038,"name":"Environmental public health","url":"https://www.academia.edu/Documents/in/Environmental_public_health"}],"urls":[{"id":20728224,"url":"https://www.mdpi.com/1660-4601/16/17/3146/pdf"}]}, 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="79799689"><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/79799689/Humidity_A_review_and_primer_on_atmospheric_moisture_and_human_health"><img alt="Research paper thumbnail of Humidity: A review and primer on atmospheric moisture and human health" class="work-thumbnail" src="https://attachments.academia-assets.com/86392774/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/79799689/Humidity_A_review_and_primer_on_atmospheric_moisture_and_human_health">Humidity: A review and primer on atmospheric moisture and human health</a></div><div class="wp-workCard_item"><span>Environmental research</span><span>, Jan 18, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Research examining associations between weather and human health frequently includes the effects ...</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">Research examining associations between weather and human health frequently includes the effects of atmospheric humidity. A large number of humidity variables have been developed for numerous purposes, but little guidance is available to health researchers regarding appropriate variable selection. We examine a suite of commonly used humidity variables and summarize both the medical and biometeorological literature on associations between humidity and human health. As an example of the importance of humidity variable selection, we correlate numerous hourly humidity variables to daily respiratory syncytial virus isolates in Singapore from 1992 to 1994. Most water-vapor mass based variables (specific humidity, absolute humidity, mixing ratio, dewpoint temperature, vapor pressure) exhibit comparable correlations. Variables that include a thermal component (relative humidity, dewpoint depression, saturation vapor pressure) exhibit strong diurnality and seasonality. Humidity variable sele...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6b773482b8f7b54110866128858489ee" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":86392774,"asset_id":79799689,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/86392774/download_file?st=MTczMzkxMTU0NSw4LjIyMi4yMDguMTQ2&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="79799689"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="79799689"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79799689; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79799689]").text(description); $(".js-view-count[data-work-id=79799689]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79799689; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79799689']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 79799689, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "6b773482b8f7b54110866128858489ee" } } $('.js-work-strip[data-work-id=79799689]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79799689,"title":"Humidity: A review and primer on atmospheric moisture and human health","translated_title":"","metadata":{"abstract":"Research examining associations between weather and human health frequently includes the effects of atmospheric humidity. A large number of humidity variables have been developed for numerous purposes, but little guidance is available to health researchers regarding appropriate variable selection. We examine a suite of commonly used humidity variables and summarize both the medical and biometeorological literature on associations between humidity and human health. As an example of the importance of humidity variable selection, we correlate numerous hourly humidity variables to daily respiratory syncytial virus isolates in Singapore from 1992 to 1994. Most water-vapor mass based variables (specific humidity, absolute humidity, mixing ratio, dewpoint temperature, vapor pressure) exhibit comparable correlations. Variables that include a thermal component (relative humidity, dewpoint depression, saturation vapor pressure) exhibit strong diurnality and seasonality. Humidity variable sele...","publication_date":{"day":18,"month":1,"year":2015,"errors":{}},"publication_name":"Environmental research"},"translated_abstract":"Research examining associations between weather and human health frequently includes the effects of atmospheric humidity. A large number of humidity variables have been developed for numerous purposes, but little guidance is available to health researchers regarding appropriate variable selection. We examine a suite of commonly used humidity variables and summarize both the medical and biometeorological literature on associations between humidity and human health. As an example of the importance of humidity variable selection, we correlate numerous hourly humidity variables to daily respiratory syncytial virus isolates in Singapore from 1992 to 1994. Most water-vapor mass based variables (specific humidity, absolute humidity, mixing ratio, dewpoint temperature, vapor pressure) exhibit comparable correlations. Variables that include a thermal component (relative humidity, dewpoint depression, saturation vapor pressure) exhibit strong diurnality and seasonality. 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Our vulnerability assessment methods will consider earlier attempts to develop risk indexing methods for dams, but will be designed to be applied to Mississippi&#39;s entire database of over 3,700 dams. Unlike earlier efforts to dams, which emphasized hazards posed by the dams, our methods will be designed to consider intrinsic and extrinsic vulnerability, and consider consequences as well. Intrinsic sources of vulnerability consider such factors as the potential for unstable slopes, piping, and spillway inadequacy. Extrinsic sources of vulnerability will include features such as the potential for intentional or unintentional human acts. Other factors that will be included will be the potential for neglect of maintenance of the dam and susceptibility to interference from wildlife. Consequences will be assessed by considering the d...</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="79799688"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="79799688"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79799688; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79799688]").text(description); $(".js-view-count[data-work-id=79799688]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79799688; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79799688']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 79799688, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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" } } $('.js-work-strip[data-work-id=79799688]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79799688,"title":"A Vulnerability Assessment Approach for Dams of Mississippi","translated_title":"","metadata":{"abstract":"As part of a state-wide effort to characterize the vulnerability of Mississippi\u0026#39;s dams, we are developing a new set of vulnerability assessment tools. Our vulnerability assessment methods will consider earlier attempts to develop risk indexing methods for dams, but will be designed to be applied to Mississippi\u0026#39;s entire database of over 3,700 dams. Unlike earlier efforts to dams, which emphasized hazards posed by the dams, our methods will be designed to consider intrinsic and extrinsic vulnerability, and consider consequences as well. Intrinsic sources of vulnerability consider such factors as the potential for unstable slopes, piping, and spillway inadequacy. Extrinsic sources of vulnerability will include features such as the potential for intentional or unintentional human acts. Other factors that will be included will be the potential for neglect of maintenance of the dam and susceptibility to interference from wildlife. 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Other factors that will be included will be the potential for neglect of maintenance of the dam and susceptibility to interference from wildlife. Consequences will be assessed by considering the d...","internal_url":"https://www.academia.edu/79799688/A_Vulnerability_Assessment_Approach_for_Dams_of_Mississippi","translated_internal_url":"","created_at":"2022-05-24T00:50:42.431-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":27221904,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"A_Vulnerability_Assessment_Approach_for_Dams_of_Mississippi","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"As part of a state-wide effort to characterize the vulnerability of Mississippi\u0026#39;s dams, we are developing a new set of vulnerability assessment tools. 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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="79799686"><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/79799686/Winter_Season_Climate_Prediction_for_the_U_K_Health_Sector"><img alt="Research paper thumbnail of Winter-Season Climate Prediction for the U.K. Health Sector" class="work-thumbnail" src="https://attachments.academia-assets.com/86392772/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/79799686/Winter_Season_Climate_Prediction_for_the_U_K_Health_Sector">Winter-Season Climate Prediction for the U.K. Health Sector</a></div><div class="wp-workCard_item"><span>Journal of Applied Meteorology and Climatology</span><span>, 2006</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The winter climate of the British Isles is characterized by considerable interannual variability,...</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 winter climate of the British Isles is characterized by considerable interannual variability, which, because of the general climate sensitivity of a number of health outcomes, places at times considerable pressure on the provision of health services. Seasonal climate forecasts potentially could improve management within the health sector and assist in hedging against the vagaries of climatic variability. For this reason, an exploratory analysis of the potential utility of seasonal climate forecasting for the health sector in the United Kingdom is presented here. Study results revealed that the general level of winter mortality at the monthly to seasonal time scale possesses a strong association with simple descriptors of winter climate such as maximum temperature and the number of days below a given temperature threshold. Because such climate indices can be derived from the output of coupled seasonal climate prediction models, predictions of general levels of mortality may be po...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fd4876e8e7798a433234d9a6faf1fabb" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":86392772,"asset_id":79799686,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/86392772/download_file?st=MTczMzkxMTU0NSw4LjIyMi4yMDguMTQ2&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="79799686"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="79799686"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79799686; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79799686]").text(description); $(".js-view-count[data-work-id=79799686]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79799686; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79799686']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 79799686, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "fd4876e8e7798a433234d9a6faf1fabb" } } $('.js-work-strip[data-work-id=79799686]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79799686,"title":"Winter-Season Climate Prediction for the U.K. Health Sector","translated_title":"","metadata":{"abstract":"The winter climate of the British Isles is characterized by considerable interannual variability, which, because of the general climate sensitivity of a number of health outcomes, places at times considerable pressure on the provision of health services. 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Study results revealed that the general level of winter mortality at the monthly to seasonal time scale possesses a strong association with simple descriptors of winter climate such as maximum temperature and the number of days below a given temperature threshold. 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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="63432106"><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/63432106/Eastern_Antarctic_Peninsula_precipitation_delivery_mechanisms_process_studies_and_back_trajectory_accuracy_evaluation"><img alt="Research paper thumbnail of Eastern Antarctic Peninsula precipitation delivery mechanisms: process studies and back trajectory accuracy evaluation" class="work-thumbnail" src="https://attachments.academia-assets.com/75864272/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/63432106/Eastern_Antarctic_Peninsula_precipitation_delivery_mechanisms_process_studies_and_back_trajectory_accuracy_evaluation">Eastern Antarctic Peninsula precipitation delivery mechanisms: process studies and back trajectory accuracy evaluation</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The atmospheric circulation patterns that result in precipitation events at a site on the eastern...</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 atmospheric circulation patterns that result in precipitation events at a site on the eastern Antarctic Peninsula (AP) are investigated using back trajectories (BTs) driven by ERA-40 data. Moisture delivery occurs from the east and west depending on the location of blocking events in the South Atlantic and Pacific Oceans. Observations are sparse in this region, so our process studies compare the trajectories (and the ERA-40 fields from which they were derived) with advanced very high resolution radiometer (AVHRR) satellite images. 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For this reason, ENSO has attracted much interest in the climate and health science community, with many analysts investigating ENSO health links through considering the degree of dependency of the incidence of a range of climate diseases on the occurrence of El Niño events. Because of the mounting interest in the relationship between ENSO as a major mode of climatic variability and health, this paper presents an overview of the basic characteristics of the ENSO phenomenon and its climate impacts, discusses the use of ENSO indices in climate and health research, and outlines the present understanding of ENSO health associations. Also touched upon are ENSO-based seasonal health forecasting and the possible impacts of climate change on ENSO and the implications this holds for future assessments of ENSO ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8fec803fa3cea9a6ad3fa9e7ea29ab43" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":67945544,"asset_id":49648318,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/67945544/download_file?st=MTczMzkxMTU0NSw4LjIyMi4yMDguMTQ2&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="49648318"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="49648318"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 49648318; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=49648318]").text(description); $(".js-view-count[data-work-id=49648318]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 49648318; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='49648318']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 49648318, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "8fec803fa3cea9a6ad3fa9e7ea29ab43" } } $('.js-work-strip[data-work-id=49648318]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":49648318,"title":"El Niño Southern Oscillation (ENSO) and Health: An Overview for Climate and Health Researchers","translated_title":"","metadata":{"abstract":"The El Niño Southern Oscillation (ENSO) is an important mode of climatic variability that exerts a discernible impact on ecosystems and society through alterations in climate patterns. 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Also touched upon are ENSO-based seasonal health forecasting and the possible impacts of climate change on ENSO and the implications this holds for future assessments of ENSO ...","publisher":"MDPI AG","publication_name":"Atmosphere"},"translated_abstract":"The El Niño Southern Oscillation (ENSO) is an important mode of climatic variability that exerts a discernible impact on ecosystems and society through alterations in climate patterns. For this reason, ENSO has attracted much interest in the climate and health science community, with many analysts investigating ENSO health links through considering the degree of dependency of the incidence of a range of climate diseases on the occurrence of El Niño events. Because of the mounting interest in the relationship between ENSO as a major mode of climatic variability and health, this paper presents an overview of the basic characteristics of the ENSO phenomenon and its climate impacts, discusses the use of ENSO indices in climate and health research, and outlines the present understanding of ENSO health associations. 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For this reason, ENSO has attracted much interest in the climate and health science community, with many analysts investigating ENSO health links through considering the degree of dependency of the incidence of a range of climate diseases on the occurrence of El Niño events. Because of the mounting interest in the relationship between ENSO as a major mode of climatic variability and health, this paper presents an overview of the basic characteristics of the ENSO phenomenon and its climate impacts, discusses the use of ENSO indices in climate and health research, and outlines the present understanding of ENSO health associations. 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