GMD - Editor's choice

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Please try again later.</div> </div> </div> </div> </div>  <div class="modal " id="templateSearchLoadingModal" role="dialog" aria-labelledby="Search results" aria-hidden="true"> <div class="modal-dialog modal-sm modal-dialog-centered"> <div class="modal-content p-3 co_LoadingDotsContainer"> <div class="modal-body"> <div class="text">Searching</div> <div class="dots d-flex justify-content-center"><div class="dot"></div><div class="dot"></div><div class="dot"></div></div></div> </div> </div> </div> </div> <style> /*.modal {*/ /* background: rgba(255, 255, 255, 0.8);*/ /*}*/ .modal-header--sticky { position: sticky; top: 0; background-color: inherit; z-index: 1055; } .grid-container { margin-bottom: 1em; /*padding-left: 0;*/ /*padding-right: 0;*/ } #templateSearchInfo{ display: none; background-color: var(--background-color-primary); margin-top: 1px; z-index: 5; border: 1px solid var(--color-primary); opacity: .8; font-size: .7rem; border-radius: .25rem; } #templateSearchLoadingModal .co_LoadingDotsContainer { z-index: 1000; } #templateSearchLoadingModal .co_LoadingDotsContainer .text { text-align: center; font-weight: bold; padding-bottom: 1rem; } #templateSearchLoadingModal .co_LoadingDotsContainer .dot { background-color: #0072BC; border: 2px solid white; border-radius: 50%; float: left; height: 2rem; width: 2rem; margin: 0 5px; -webkit-transform: scale(0); transform: scale(0); -webkit-animation: animation_dots_breath 1000ms ease infinite 0ms; animation: animation_dots_breath 1000ms ease infinite 0ms; } #templateSearchLoadingModal .co_LoadingDotsContainer .dot:nth-child(2) { -webkit-animation: animation_dots_breath 1000ms ease infinite 300ms; animation: animation_dots_breath 1000ms ease infinite 300ms; } #templateSearchLoadingModal .co_LoadingDotsContainer .dot:nth-child(3) { -webkit-animation: animation_dots_breath 1000ms ease infinite 600ms; animation: animation_dots_breath 1000ms ease infinite 600ms; } #templateSearchResultModal [class*="grid-"] { padding-left: 10px !important; padding-right: 10px !important; } #templateSearchResultTerm { font-weight: bold; } #resultsSearchHeader { display: block !important; } #scrolltopmodal { font-size: 3.0em; margin-top: 0 !important; margin-right: 15px; } @-webkit-keyframes animation_dots_breath { 50% { -webkit-transform: scale(1); transform: scale(1); opacity: 1; } 100% { opacity: 0; } } @keyframes animation_dots_breath { 50% { -webkit-transform: scale(1); transform: scale(1); opacity: 1; } 100% { opacity: 0; } } @media (min-width: 768px) and (max-width: 991px) { #templateSearchResultModal .modal-dialog { max-width: 90%; } } </style> <script> if(document.querySelector('meta[name="global_moBaseURL"]').content == "https://meetingorganizer.copernicus.org/") FINDER_URL = document.querySelector('meta[name="global_moBaseURL"]').content.replace('meetingorganizer', 'finder-app')+"search/library.php"; else FINDER_URL = document.querySelector('meta[name="global_moBaseURL"]').content.replace('meetingorganizer', 'finder')+"search/library.php"; SEARCH_INPUT = document.getElementById('search_query_solr'); SEARCH_INPUT_MODAL = document.getElementById('search_query_modal'); searchRunning = false; offset = 20; INITIAL_OFFSET = 20; var MutationObserver = window.MutationObserver || window.WebKitMutationObserver || window.MozMutationObserver; const targetNodeSearchModal = document.getElementById("templateSearchResultModal"); const configSearchModal = { attributes: true, childList: true, subtree: true }; // Callback function to execute when mutations are observed const callbackSearchModal = (mutationList, observer) => { for (const mutation of mutationList) { if (mutation.type === "childList") { // console.log("A child node has been added or removed."); picturesGallery(); } else if (mutation.type === "attributes") { // console.log(`The ${mutation.attributeName} attribute was modified.`); } } }; // Create an observer instance linked to the callback function const observer = new MutationObserver(callbackSearchModal); // Start observing the target node for configured mutations observer.observe(targetNodeSearchModal, configSearchModal); function _addEventListener() { document.getElementById('search_query_solr').addEventListener('keypress', (e) => { if (e.key === 'Enter') _runSearch(); }); document.getElementById('start_site_search_solr').addEventListener('click', (e) => { _runSearch(); e.stopPropagation(); e.stopImmediatePropagation(); return false; }); $('#templateSearchResultModal').scroll(function() { if ($(this).scrollTop()) { $('#scrolltopmodal:hidden').stop(true, true).fadeIn().css("display","inline-block"); } else { $('#scrolltopmodal').stop(true, true).fadeOut(); } }); } function scrollModalTop() { $('#templateSearchResultModal').animate({ scrollTop: 0 }, 'slow'); // $('#templateSearchResultModal').scrollTop(0); } function picturesGallery() { $('body').off('click', '.paperlist-avatar img'); $('body').off('click', '#templateSearchResultContainer .paperlist-avatar img'); searchPaperListAvatar = []; searchPaperListAvatarThumb = []; search_pswpElement = document.querySelectorAll('.pswp')[0]; if (typeof search_gallery != "undefined") { search_gallery = null; } $('body').on('click', '#templateSearchResultContainer .paperlist-avatar img', function (e) { if(searchPaperListAvatarThumb.length === 0 && searchPaperListAvatar.length === 0) { $('#templateSearchResultContainer .paperlist-avatar img').each(function () { var webversion = $(this).attr('data-web'); var width = $(this).attr('data-width'); var height = $(this).attr('data-height'); var caption = $(this).attr('data-caption'); var figure = { src: webversion, w: width, h: height, title: caption }; searchPaperListAvatarThumb.push($(this)[0]); searchPaperListAvatar.push(figure); }); } var target = $(this); var index = $('#templateSearchResultContainer .paperlist-avatar img').index(target); var options = { showHideOpacity:false, bgOpacity:0.8, index:index, spacing:0.15, history: false, focus:false, getThumbBoundsFn: function(index) { var thumbnail = searchPaperListAvatarThumb[index]; var pageYScroll = window.pageYOffset || document.documentElement.scrollTop; var rect = thumbnail.getBoundingClientRect(); return {x:rect.left, y:rect.top + pageYScroll, w:rect.width}; } }; search_gallery = new PhotoSwipe( search_pswpElement, PhotoSwipeUI_Default,[searchPaperListAvatar[index]],options); search_gallery.init(); }); } function showError(code, msg) { console.error(code, msg); $("#templateSearchLoadingModal").modal("hide"); switch(code) { case -3: // http request fail case -2: // invalid MO response case 4: // CORS case 1: // project $("#templateSearchErrorModal1").modal({}); break; case -1: // timeout $("#templateSearchErrorModal2").modal({}); break; case 2: // empty term $("#templateSearchErrorModal3").modal({}); break; case 3: // DOS $("#templateSearchErrorModal4").modal({}); break; default: $("#templateSearchErrorModal1").modal({}); break; } } function clearForm() { var myFormElement = document.getElementById("library-filters") var elements = myFormElement.elements; $(".form-check-input").prop('checked', false).change().parent().removeClass('active'); for(i=0; i<elements.length; i++) { field_type = elements[i].type.toLowerCase(); switch(field_type) { case "text": case "password": case "textarea": case "hidden": elements[i].value = ""; break; case "radio": case "checkbox": if (elements[i].checked) { elements[i].checked = false; } break; case "select-one": case "select-multi": elements[i].selectedIndex = -1; break; default: break; } } } function generateShowMoreButton(offset, term) { var code = '<button aria-label="ShowMore" id="showMore" class="btn btn-success float-right mr-2" data-offset="' + offset + '">Show more</button>'; return code; } function hideModal(id) { $("#"+id).modal('hide'); } function showModal(id) { $("#"+id).modal({}); } function prepareForPhotoSwipe() { searchPaperListAvatar = []; searchPaperListAvatarThumb = []; search_pswpElement = document.querySelectorAll('.pswp')[0]; } function _sendAjax(projectID, term) { let httpRequest = new XMLHttpRequest(); if(searchRunning) { console.log("Search running"); return; } if (!httpRequest) { console.error("Giving up :( Cannot create an XMLHTTP instance"); showError(-1); return false; } // httpRequest.timeout = 20000; // time in milliseconds httpRequest.withCredentials = false; httpRequest.ontimeout = (e) => { showError(-1, "result timeout"); searchRunning = false; }; httpRequest.onreadystatechange = function() { if (httpRequest.readyState === XMLHttpRequest.DONE) { searchRunning = false; if (httpRequest.status === 200) { let rs = JSON.parse(httpRequest.responseText); if(rs) { if(rs.isError) { showError(rs.errorCode, rs.errorMessage); } else { let html = rs.resultHTMLs; $("#modal_search_query").val(rs.term); $("#templateSearchResultTerm").html(rs.term); $("#templateSearchResultNr").html(rs.resultsNr); $("#templateRefineSearch").html(rs.filter); if(rs.filter == false) { console.log('filter empty'); $("#refineSearchModal").removeClass('d-block').addClass('d-none'); } if(rs.resultsNr==1) $("#templateSearchResultNrPlural").hide(); else $("#templateSearchResultNrPlural").show(); if(rs.resultsNr==0) { hideModal('templateSearchLoadingModal'); $("#templateSearchResultContainer").html(""); $("#templateSearchResultContainerEmpty").removeClass("d-none"); showModal('templateSearchResultModal'); } else { if((rs.resultsNr - offset)>0) { html = html + generateShowMoreButton(offset, term); } $("#templateSearchResultContainerEmpty").addClass("d-none"); if( offset == INITIAL_OFFSET) { hideModal('templateSearchLoadingModal'); $("#templateSearchResultContainer").html(html); showModal('templateSearchResultModal'); } else { $('#showMore').remove(); startHtml = $("#templateSearchResultContainer").html(); $("#templateSearchResultContainer").html(startHtml + html); } // prepareForPhotoSwipe(); } } } else { showError(-2, "invalid result"); } } else { showError(-3, "There was a problem with the request."); } } }; if(offset == INITIAL_OFFSET) { hideModal('templateSearchResultModal'); showModal('templateSearchLoadingModal'); } httpRequest.open("GET", FINDER_URL+"?project="+projectID+"&term="+encodeURI(term)+((offset>INITIAL_OFFSET)?("&offset="+(offset-INITIAL_OFFSET)) : "")); httpRequest.send(); 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var queryString = $('#library-filters').serialize(); var term = _searchTrimInput($('#modal_search_query').val()); term+='&'+queryString; if(term.length > 0) { _sendAjax(projectID, term); } else { showError(2, 'Empty search term') } } if(document.getElementById('search_query_solr')) { run(); } </script> </div></div> </div> </div> </div> </div> </header>  <main class="one-column version-2023"> <div id="content" class="container"> <div id="page_content_container" class="CMSCONTAINER row"> <div class="col"> <div class="level1Toc"> <div class="grid-container no-margin"> <div class="grid-100"> <h1>Editor's choice</h1> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="0"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/17/7569/2024/gmd-17-7569-2024-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/17/7569/2024/gmd-17-7569-2024-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://gmd.copernicus.org/articles/17/7569/2024/gmd-17-7569-2024-avatar-web.png" data-width="600" data-height="296" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 30 Oct 2024</div> <a class="article-title" target="_parent" href="https://gmd.copernicus.org/articles/17/7569/2024/">A three-stage model pipeline predicting regional avalanche danger in Switzerland (RAvaFcast v1.0.0): a decision-support tool for operational avalanche forecasting</a> <div class="authors">Alessandro Maissen, Frank Techel, and Michele Volpi</div> <div class="citation">Geosci. Model Dev., 17, 7569–7593, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/gmd-17-7569-2024,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/gmd-17-7569-2024,</span> 2024</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_116623" data-show=".short_summary_116623" data-hide=".short_summary_button_116623" >Short summary</span> <span class="show-hide journal-contentLinkColor triangle ce_comment_button_116623 ml-2" data-show=".ce_comment_116623" data-hide=".ce_comment_button_116623">Executive editor</span> <div class="j-widget__max short_summary short_summary_116623" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> By harnessing AI models, this work enables processing large amounts of data, including weather conditions, snowpack characteristics, and historical avalanche data, to predict human-like avalanche forecasts in Switzerland. Our proposed model can significantly assist avalanche forecasters in their decision-making process, thereby facilitating more efficient and accurate predictions crucial for ensuring safety in Switzerland's avalanche-prone regions. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_116623" data-show=".short_summary_button_116623">Hide</a></div> </div> </div> <div class="j-widget__max ce_comment ce_comment_116623 mt-3" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Executive editor</div> <div class="content"> Operational avalanche forecasting has so far been done almost exclusively by human forecasters. For the first time, an automated machine learning approach allows to reach forecasting skills close to human forecasters. </div> <div><a href="#" class="show-hide triangle" data-hide=".ce_comment_116623" data-show=".ce_comment_button_116623">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/17/7569/2024/gmd-17-7569-2024-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/17/7569/2024/gmd-17-7569-2024-avatar-thumb80.png" data-web="https://gmd.copernicus.org/articles/17/7569/2024/gmd-17-7569-2024-avatar-web.png" data-width="600" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="296" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="0"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/17/7467/2024/gmd-17-7467-2024-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/17/7467/2024/gmd-17-7467-2024-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://gmd.copernicus.org/articles/17/7467/2024/gmd-17-7467-2024-avatar-web.png" data-width="600" data-height="466" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 28 Oct 2024</div> <a class="article-title" target="_parent" href="https://gmd.copernicus.org/articles/17/7467/2024/">Air quality modeling intercomparison and multiscale ensemble chain for Latin America</a> <div class="authors">Jorge E. Pachón, Mariel A. Opazo, Pablo Lichtig, Nicolas Huneeus, Idir Bouarar, Guy Brasseur, Cathy W. Y. Li, Johannes Flemming, Laurent Menut, Camilo Menares, Laura Gallardo, Michael Gauss, Mikhail Sofiev, Rostislav Kouznetsov, Julia Palamarchuk, Andreas Uppstu, Laura Dawidowski, Nestor Y. Rojas, María de Fátima Andrade, Mario E. Gavidia-Calderón, Alejandro H. Delgado Peralta, and Daniel Schuch</div> <div class="citation">Geosci. Model Dev., 17, 7467–7512, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/gmd-17-7467-2024,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/gmd-17-7467-2024,</span> 2024</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_118885" data-show=".short_summary_118885" data-hide=".short_summary_button_118885" >Short summary</span> <span class="show-hide journal-contentLinkColor triangle ce_comment_button_118885 ml-2" data-show=".ce_comment_118885" data-hide=".ce_comment_button_118885">Executive editor</span> <div class="j-widget__max short_summary short_summary_118885" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> Latin America (LAC) has some of the most populated urban areas in the world, with high levels of air pollution. Air quality management in LAC has been traditionally focused on surveillance and building emission inventories. This study performed the first intercomparison and model evaluation in LAC, with interesting and insightful findings for the region. A multiscale modeling ensemble chain was assembled as a first step towards an air quality forecasting system. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_118885" data-show=".short_summary_button_118885">Hide</a></div> </div> </div> <div class="j-widget__max ce_comment ce_comment_118885 mt-3" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Executive editor</div> <div class="content"> This multi-model inter-comparison presents a state-of-the-art assessment of Latin America for the first time which is a region often ignored in air quality studies. </div> <div><a href="#" class="show-hide triangle" data-hide=".ce_comment_118885" data-show=".ce_comment_button_118885">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/17/7467/2024/gmd-17-7467-2024-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/17/7467/2024/gmd-17-7467-2024-avatar-thumb80.png" data-web="https://gmd.copernicus.org/articles/17/7467/2024/gmd-17-7467-2024-avatar-web.png" data-width="600" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="466" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="7"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/17/3433/2024/gmd-17-3433-2024-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/17/3433/2024/gmd-17-3433-2024-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://gmd.copernicus.org/articles/17/3433/2024/gmd-17-3433-2024-avatar-web.png" data-width="600" data-height="287" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 30 Apr 2024</div> <a class="article-title" target="_parent" href="https://gmd.copernicus.org/articles/17/3433/2024/">NEWTS1.0: Numerical model of coastal Erosion by Waves and Transgressive Scarps</a> <div class="authors">Rose V. Palermo, J. Taylor Perron, Jason M. Soderblom, Samuel P. D. Birch, Alexander G. Hayes, and Andrew D. Ashton</div> <div class="citation">Geosci. Model Dev., 17, 3433–3445, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/gmd-17-3433-2024,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/gmd-17-3433-2024,</span> 2024</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_116126" data-show=".short_summary_116126" data-hide=".short_summary_button_116126" >Short summary</span> <span class="show-hide journal-contentLinkColor triangle ce_comment_button_116126 ml-2" data-show=".ce_comment_116126" data-hide=".ce_comment_button_116126">Executive editor</span> <div class="j-widget__max short_summary short_summary_116126" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> Models of rocky coastal erosion help us understand the controls on coastal morphology and evolution. In this paper, we present a simplified model of coastline erosion driven by either uniform erosion where coastline erosion is constant or wave-driven erosion where coastline erosion is a function of the wave power. This model can be used to evaluate how coastline changes reflect climate, sea-level history, material properties, and the relative influence of different erosional processes. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_116126" data-show=".short_summary_button_116126">Hide</a></div> </div> </div> <div class="j-widget__max ce_comment ce_comment_116126 mt-3" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Executive editor</div> <div class="content"> Coastal erosion is a process with widespread human impact. This well-written paper explains the NEWTS coastal erosion model in terms which will be accessible for geoscientists and beyond. It is recommended reading for anyone with an interest in this application area. </div> <div><a href="#" class="show-hide triangle" data-hide=".ce_comment_116126" data-show=".ce_comment_button_116126">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/17/3433/2024/gmd-17-3433-2024-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/17/3433/2024/gmd-17-3433-2024-avatar-thumb80.png" data-web="https://gmd.copernicus.org/articles/17/3433/2024/gmd-17-3433-2024-avatar-web.png" data-width="600" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="287" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="8"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/17/2877/2024/gmd-17-2877-2024-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/17/2877/2024/gmd-17-2877-2024-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://gmd.copernicus.org/articles/17/2877/2024/gmd-17-2877-2024-avatar-web.png" data-width="600" data-height="364" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 16 Apr 2024</div> <a class="article-title" target="_parent" href="https://gmd.copernicus.org/articles/17/2877/2024/">HydroFATE (v1): a high-resolution contaminant fate model for the global river system</a> <div class="authors">Heloisa Ehalt Macedo, Bernhard Lehner, Jim Nicell, and Günther Grill</div> <div class="citation">Geosci. Model Dev., 17, 2877–2899, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/gmd-17-2877-2024,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/gmd-17-2877-2024,</span> 2024</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_113182" data-show=".short_summary_113182" data-hide=".short_summary_button_113182" >Short summary</span> <span class="show-hide journal-contentLinkColor triangle ce_comment_button_113182 ml-2" data-show=".ce_comment_113182" data-hide=".ce_comment_button_113182">Executive editor</span> <div class="j-widget__max short_summary short_summary_113182" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> Treated and untreated wastewaters are sources of contaminants of emerging concern. HydroFATE, a new global model, estimates their concentrations in surface waters, identifying streams that are most at risk and guiding monitoring/mitigation efforts to safeguard aquatic ecosystems and human health. Model predictions were validated against field measurements of the antibiotic sulfamethoxazole, with predicted concentrations exceeding ecological thresholds in more than 400 000 km of rivers worldwide. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_113182" data-show=".short_summary_button_113182">Hide</a></div> </div> </div> <div class="j-widget__max ce_comment ce_comment_113182 mt-3" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Executive editor</div> <div class="content"> This paper is significant for both the geoscience community and the general public. For geoscientists, the novel HydroFATE model provides an innovative tool to estimate and track the presence of household and pharmaceutical contaminants in the world's river systems, aiding in global pollution studies and environmental planning. For the public and media, it highlights the widespread issue of water contamination from commonly used substances, illustrating their potential impacts on environmental and public health. HydroFATE can inform decision-making across sectors - from water testing prioritization by local governments to ecological considerations by pharmaceutical companies, making it a compelling narrative for the media. The antibiotic sulfamethoxazole's use as a test case further links this work to global health discussions on antibiotic resistance. </div> <div><a href="#" class="show-hide triangle" data-hide=".ce_comment_113182" data-show=".ce_comment_button_113182">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/17/2877/2024/gmd-17-2877-2024-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/17/2877/2024/gmd-17-2877-2024-avatar-thumb80.png" data-web="https://gmd.copernicus.org/articles/17/2877/2024/gmd-17-2877-2024-avatar-web.png" data-width="600" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="364" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="9"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/17/2187/2024/gmd-17-2187-2024-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/17/2187/2024/gmd-17-2187-2024-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://gmd.copernicus.org/articles/17/2187/2024/gmd-17-2187-2024-avatar-web.png" data-width="478" data-height="600" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 15 Mar 2024</div> <a class="article-title" target="_parent" href="https://gmd.copernicus.org/articles/17/2187/2024/">Minimum-variance-based outlier detection method using forward-search model error in geodetic networks</a> <div class="authors">Utkan M. Durdağ</div> <div class="citation">Geosci. Model Dev., 17, 2187–2196, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/gmd-17-2187-2024,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/gmd-17-2187-2024,</span> 2024</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_115585" data-show=".short_summary_115585" data-hide=".short_summary_button_115585" >Short summary</span> <span class="show-hide journal-contentLinkColor triangle ce_comment_button_115585 ml-2" data-show=".ce_comment_115585" data-hide=".ce_comment_button_115585">Executive editor</span> <div class="j-widget__max short_summary short_summary_115585" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> This study introduces a novel approach to outlier detection in geodetic networks, challenging conventional and robust methods. By treating outliers as unknown parameters within the Gauss–Markov model and exploring numerous outlier combinations, this approach prioritizes minimal variance and eliminates iteration dependencies. The mean success rate (MSR) comparisons highlight its effectiveness, improving the MSR by 40–45 % for multiple outliers. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_115585" data-show=".short_summary_button_115585">Hide</a></div> </div> </div> <div class="j-widget__max ce_comment ce_comment_115585 mt-3" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Executive editor</div> <div class="content"> Robust outlier detection is a challenge for all areas of science that deal with real data. Here, the author describes a new approach to this in the field of geodesy, but does so in a readable and accessible way. It will therefore be valuable reading for those beyond that field. </div> <div><a href="#" class="show-hide triangle" data-hide=".ce_comment_115585" data-show=".ce_comment_button_115585">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/17/2187/2024/gmd-17-2187-2024-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/17/2187/2024/gmd-17-2187-2024-avatar-thumb80.png" data-web="https://gmd.copernicus.org/articles/17/2187/2024/gmd-17-2187-2024-avatar-web.png" data-width="478" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="600" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="12"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/16/7461/2023/gmd-16-7461-2023-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/16/7461/2023/gmd-16-7461-2023-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://gmd.copernicus.org/articles/16/7461/2023/gmd-16-7461-2023-avatar-web.png" data-width="600" data-height="515" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 21 Dec 2023</div> <a class="article-title" target="_parent" href="https://gmd.copernicus.org/articles/16/7461/2023/">The Framework for Assessing Changes To Sea-level (FACTS) v1.0: a platform for characterizing parametric and structural uncertainty in future global, relative, and extreme sea-level change</a> <div class="authors">Robert E. Kopp, Gregory G. Garner, Tim H. J. Hermans, Shantenu Jha, Praveen Kumar, Alexander Reedy, Aimée B. A. Slangen, Matteo Turilli, Tamsin L. Edwards, Jonathan M. Gregory, George Koubbe, Anders Levermann, Andre Merzky, Sophie Nowicki, Matthew D. Palmer, and Chris Smith</div> <div class="citation">Geosci. Model Dev., 16, 7461–7489, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/gmd-16-7461-2023,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/gmd-16-7461-2023,</span> 2023</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_108768" data-show=".short_summary_108768" data-hide=".short_summary_button_108768" >Short summary</span> <span class="show-hide journal-contentLinkColor triangle ce_comment_button_108768 ml-2" data-show=".ce_comment_108768" data-hide=".ce_comment_button_108768">Executive editor</span> <div class="j-widget__max short_summary short_summary_108768" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> Future sea-level rise projections exhibit multiple forms of uncertainty, all of which must be considered by scientific assessments intended to inform decision-making. The Framework for Assessing Changes To Sea-level (FACTS) is a new software package intended to support assessments of global mean, regional, and extreme sea-level rise. An early version of FACTS supported the development of the IPCC Sixth Assessment Report sea-level projections. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_108768" data-show=".short_summary_button_108768">Hide</a></div> </div> </div> <div class="j-widget__max ce_comment ce_comment_108768 mt-3" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Executive editor</div> <div class="content"> This manuscript provides a novel and comprehensive assessment of uncertainty associated with sea level rise. The model description is thorough and it is applied to a number of possible scenarios. The conclusions are important for framing future discussions on sea level rise. </div> <div><a href="#" class="show-hide triangle" data-hide=".ce_comment_108768" data-show=".ce_comment_button_108768">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/16/7461/2023/gmd-16-7461-2023-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/16/7461/2023/gmd-16-7461-2023-avatar-thumb80.png" data-web="https://gmd.copernicus.org/articles/16/7461/2023/gmd-16-7461-2023-avatar-web.png" data-width="600" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="515" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="12"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/16/6671/2023/gmd-16-6671-2023-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/16/6671/2023/gmd-16-6671-2023-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://gmd.copernicus.org/articles/16/6671/2023/gmd-16-6671-2023-avatar-web.png" data-width="600" data-height="373" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 16 Nov 2023</div> <a class="article-title" target="_parent" href="https://gmd.copernicus.org/articles/16/6671/2023/">Universal differential equations for glacier ice flow modelling</a> <div class="authors">Jordi Bolibar, Facundo Sapienza, Fabien Maussion, Redouane Lguensat, Bert Wouters, and Fernando Pérez</div> <div class="citation">Geosci. Model Dev., 16, 6671–6687, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/gmd-16-6671-2023,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/gmd-16-6671-2023,</span> 2023</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_112294" data-show=".short_summary_112294" data-hide=".short_summary_button_112294" >Short summary</span> <span class="show-hide journal-contentLinkColor triangle ce_comment_button_112294 ml-2" data-show=".ce_comment_112294" data-hide=".ce_comment_button_112294">Executive editor</span> <div class="j-widget__max short_summary short_summary_112294" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> We developed a new modelling framework combining numerical methods with machine learning. Using this approach, we focused on understanding how ice moves within glaciers, and we successfully learnt a prescribed law describing ice movement for 17 glaciers worldwide as a proof of concept. Our framework has the potential to discover important laws governing glacier processes, aiding our understanding of glacier physics and their contribution to water resources and sea-level rise. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_112294" data-show=".short_summary_button_112294">Hide</a></div> </div> </div> <div class="j-widget__max ce_comment ce_comment_112294 mt-3" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Executive editor</div> <div class="content"> The integration of neural networks into PDE solvers to simulate systems for which the PDE models are incomplete is a key advance at the cutting edge of geoscientific modelling. The approach presented here is applicable far beyond the realm of ice modelling, and will be of interest to model developers and users across geoscience and beyond. </div> <div><a href="#" class="show-hide triangle" data-hide=".ce_comment_112294" data-show=".ce_comment_button_112294">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/16/6671/2023/gmd-16-6671-2023-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/16/6671/2023/gmd-16-6671-2023-avatar-thumb80.png" data-web="https://gmd.copernicus.org/articles/16/6671/2023/gmd-16-6671-2023-avatar-web.png" data-width="600" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="373" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="14"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/16/5561/2023/gmd-16-5561-2023-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/16/5561/2023/gmd-16-5561-2023-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://gmd.copernicus.org/articles/16/5561/2023/gmd-16-5561-2023-avatar-web.png" data-width="600" data-height="293" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 06 Oct 2023</div> <a class="article-title" target="_parent" href="https://gmd.copernicus.org/articles/16/5561/2023/">Emulating lateral gravity wave propagation in a global chemistry–climate model (EMAC v2.55.2) through horizontal flux redistribution</a> <div class="authors">Roland Eichinger, Sebastian Rhode, Hella Garny, Peter Preusse, Petr Pisoft, Aleš Kuchař, Patrick Jöckel, Astrid Kerkweg, and Bastian Kern</div> <div class="citation">Geosci. Model Dev., 16, 5561–5583, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/gmd-16-5561-2023,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/gmd-16-5561-2023,</span> 2023</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_109680" data-show=".short_summary_109680" data-hide=".short_summary_button_109680" >Short summary</span> <span class="show-hide journal-contentLinkColor triangle ce_comment_button_109680 ml-2" data-show=".ce_comment_109680" data-hide=".ce_comment_button_109680">Executive editor</span> <div class="j-widget__max short_summary short_summary_109680" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> The columnar approach of gravity wave (GW) schemes results in dynamical model biases, but parallel decomposition makes horizontal GW propagation computationally unfeasible. In the global model EMAC, we approximate it by GW redistribution at one altitude using tailor-made redistribution maps generated with a ray tracer. More spread-out GW drag helps reconcile the model with observations and close the 60°S GW gap. Polar vortex dynamics are improved, enhancing climate model credibility. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_109680" data-show=".short_summary_button_109680">Hide</a></div> </div> </div> <div class="j-widget__max ce_comment ce_comment_109680 mt-3" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Executive editor</div> <div class="content"> Grave wave (GW) parameterisations currently used in state-of-the-art weather and climate models are based on a purely columnar approach, which does not allow for any horizontal propagation of GWs and has been identified as potential source of systematic biases in the simulation of middle atmospheric dynamics. The study by Eichinger and colleagues presents now a computationally efficient method to emulate the effects of lateral propagation of orographic GWs in climate models by horizontal momentum flux redistribution using redistribution maps derived from a GW ray-tracing model. The presented approach is an important step towards a better representation of orographic GWs in climate models, which might improve long-standing problems in atmospheric modelling. </div> <div><a href="#" class="show-hide triangle" data-hide=".ce_comment_109680" data-show=".ce_comment_button_109680">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/16/5561/2023/gmd-16-5561-2023-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/16/5561/2023/gmd-16-5561-2023-avatar-thumb80.png" data-web="https://gmd.copernicus.org/articles/16/5561/2023/gmd-16-5561-2023-avatar-web.png" data-width="600" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="293" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="16"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/16/4427/2023/gmd-16-4427-2023-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/16/4427/2023/gmd-16-4427-2023-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://gmd.copernicus.org/articles/16/4427/2023/gmd-16-4427-2023-avatar-web.png" data-width="600" data-height="598" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 02 Aug 2023</div> <a class="article-title" target="_parent" href="https://gmd.copernicus.org/articles/16/4427/2023/">The three-dimensional structure of fronts in mid-latitude weather systems in numerical weather prediction models</a> <div class="authors">Andreas A. Beckert, Lea Eisenstein, Annika Oertel, Tim Hewson, George C. Craig, and Marc Rautenhaus</div> <div class="citation">Geosci. Model Dev., 16, 4427–4450, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/gmd-16-4427-2023,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/gmd-16-4427-2023,</span> 2023</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_107873" data-show=".short_summary_107873" data-hide=".short_summary_button_107873" >Short summary</span> <span class="show-hide journal-contentLinkColor triangle ce_comment_button_107873 ml-2" data-show=".ce_comment_107873" data-hide=".ce_comment_button_107873">Executive editor</span> <div class="j-widget__max short_summary short_summary_107873" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> We investigate the benefit of objective 3-D front detection with modern interactive visual analysis techniques for case studies of extra-tropical cyclones and comparisons of frontal structures between different numerical weather prediction models. The 3-D frontal structures show agreement with 2-D fronts from surface analysis charts and augment them in the vertical dimension. We see great potential for more complex studies of atmospheric dynamics and for operational weather forecasting. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_107873" data-show=".short_summary_button_107873">Hide</a></div> </div> </div> <div class="j-widget__max ce_comment ce_comment_107873 mt-3" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Executive editor</div> <div class="content"> This paper investigates an impactful topic, is easily digestible to non-scientists, is well written, has nice visuals, uses novel objective identification methods and has well documented and accessible code. </div> <div><a href="#" class="show-hide triangle" data-hide=".ce_comment_107873" data-show=".ce_comment_button_107873">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/16/4427/2023/gmd-16-4427-2023-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/16/4427/2023/gmd-16-4427-2023-avatar-thumb80.png" data-web="https://gmd.copernicus.org/articles/16/4427/2023/gmd-16-4427-2023-avatar-web.png" data-width="600" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="598" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="16"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/16/4331/2023/gmd-16-4331-2023-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/16/4331/2023/gmd-16-4331-2023-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://gmd.copernicus.org/articles/16/4331/2023/gmd-16-4331-2023-avatar-web.png" data-width="600" data-height="327" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 31 Jul 2023</div> <a class="article-title" target="_parent" href="https://gmd.copernicus.org/articles/16/4331/2023/">DSCIM-Coastal v1.1: an open-source modeling platform for global impacts of sea level rise</a> <div class="authors">Nicholas Depsky, Ian Bolliger, Daniel Allen, Jun Ho Choi, Michael Delgado, Michael Greenstone, Ali Hamidi, Trevor Houser, Robert E. Kopp, and Solomon Hsiang</div> <div class="citation">Geosci. Model Dev., 16, 4331–4366, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/gmd-16-4331-2023,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/gmd-16-4331-2023,</span> 2023</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_102551" data-show=".short_summary_102551" data-hide=".short_summary_button_102551" >Short summary</span> <span class="show-hide journal-contentLinkColor triangle ce_comment_button_102551 ml-2" data-show=".ce_comment_102551" data-hide=".ce_comment_button_102551">Executive editor</span> <div class="j-widget__max short_summary short_summary_102551" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> This work presents a novel open-source modeling platform for evaluating future sea level rise (SLR) impacts. Using nearly 10 000 discrete coastline segments around the world, we estimate 21st-century costs for 230 SLR and socioeconomic scenarios. We find that annual end-of-century costs range from USD 100 billion under a 2 °C warming scenario with proactive adaptation to 7 trillion under a 4 °C warming scenario with minimal adaptation, illustrating the cost-effectiveness of coastal adaptation. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_102551" data-show=".short_summary_button_102551">Hide</a></div> </div> </div> <div class="j-widget__max ce_comment ce_comment_102551 mt-3" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Executive editor</div> <div class="content"> Sea level rise represents one of the most compelling aspects of anthropogenic climate change. The potential social and economic impacts are enormous, with little that can be done to mitigate them. It is therefore of critical importance that we are able to correctly anticipate these impacts in advance. This study presents a new, open-source platform that integrates numerical modelling with socioeconomic and physical datasets, whilst also allowing for the uncertainty in climate change projections. This tool therefore allows for new and improved estimates of the global costs of future sea level rise and is likely to be of widespread interest. </div> <div><a href="#" class="show-hide triangle" data-hide=".ce_comment_102551" data-show=".ce_comment_button_102551">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/16/4331/2023/gmd-16-4331-2023-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/16/4331/2023/gmd-16-4331-2023-avatar-thumb80.png" data-web="https://gmd.copernicus.org/articles/16/4331/2023/gmd-16-4331-2023-avatar-web.png" data-width="600" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="327" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="19"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/16/2719/2023/gmd-16-2719-2023-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/16/2719/2023/gmd-16-2719-2023-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://gmd.copernicus.org/articles/16/2719/2023/gmd-16-2719-2023-avatar-web.png" data-width="600" data-height="132" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 17 May 2023</div> <a class="article-title" target="_parent" href="https://gmd.copernicus.org/articles/16/2719/2023/">Pace v0.2: a Python-based performance-portable atmospheric model</a> <div class="authors">Johann Dahm, Eddie Davis, Florian Deconinck, Oliver Elbert, Rhea George, Jeremy McGibbon, Tobias Wicky, Elynn Wu, Christopher Kung, Tal Ben-Nun, Lucas Harris, Linus Groner, and Oliver Fuhrer</div> <div class="citation">Geosci. Model Dev., 16, 2719–2736, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/gmd-16-2719-2023,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/gmd-16-2719-2023,</span> 2023</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_106546" data-show=".short_summary_106546" data-hide=".short_summary_button_106546" >Short summary</span> <span class="show-hide journal-contentLinkColor triangle ce_comment_button_106546 ml-2" data-show=".ce_comment_106546" data-hide=".ce_comment_button_106546">Executive editor</span> <div class="j-widget__max short_summary short_summary_106546" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> It is hard for scientists to write code which is efficient on different kinds of supercomputers. Python is popular for its user-friendliness. We converted a Fortran code, simulating Earth's atmosphere, into Python. This new code auto-converts to a faster language for processors or graphic cards. Our code runs 3.5–4 times faster on graphic cards than the original on processors in a specific supercomputer system. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_106546" data-show=".short_summary_button_106546">Hide</a></div> </div> </div> <div class="j-widget__max ce_comment ce_comment_106546 mt-3" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Executive editor</div> <div class="content"> Achieving both performance and portability in a whole dynamical core implemented in a high-productivity language such as Python is an eye-opening result which rebuts some widely held assumptions in the geoscientific modelling community. This is a paper which everyone who writes geoscientific models should read. </div> <div><a href="#" class="show-hide triangle" data-hide=".ce_comment_106546" data-show=".ce_comment_button_106546">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/16/2719/2023/gmd-16-2719-2023-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/16/2719/2023/gmd-16-2719-2023-avatar-thumb80.png" data-web="https://gmd.copernicus.org/articles/16/2719/2023/gmd-16-2719-2023-avatar-web.png" data-width="600" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="132" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="20"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/16/2149/2023/gmd-16-2149-2023-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/16/2149/2023/gmd-16-2149-2023-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://gmd.copernicus.org/articles/16/2149/2023/gmd-16-2149-2023-avatar-web.png" data-width="600" data-height="405" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 20 Apr 2023</div> <a class="article-title" target="_parent" href="https://gmd.copernicus.org/articles/16/2149/2023/">Causal deep learning models for studying the Earth system</a> <div class="authors">Tobias Tesch, Stefan Kollet, and Jochen Garcke</div> <div class="citation">Geosci. Model Dev., 16, 2149–2166, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/gmd-16-2149-2023,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/gmd-16-2149-2023,</span> 2023</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_102220" data-show=".short_summary_102220" data-hide=".short_summary_button_102220" >Short summary</span> <span class="show-hide journal-contentLinkColor triangle ce_comment_button_102220 ml-2" data-show=".ce_comment_102220" data-hide=".ce_comment_button_102220">Executive editor</span> <div class="j-widget__max short_summary short_summary_102220" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> A recent statistical approach for studying relations in the Earth system is to train deep learning (DL) models to predict Earth system variables given one or several others and use interpretable DL to analyze the relations learned by the models. Here, we propose to combine the approach with a theorem from causality research to ensure that the deep learning model learns causal rather than spurious relations. As an example, we apply the method to study soil-moisture–precipitation coupling. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_102220" data-show=".short_summary_button_102220">Hide</a></div> </div> </div> <div class="j-widget__max ce_comment ce_comment_102220 mt-3" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Executive editor</div> <div class="content"> Many papers are currently being published applying deep learning to geoscientific applications. However, most of them only offer proof of concept results on highly idealised scenarios. This paper combines deep learning approaches with the structural causal models popularized by the work of Judea Pearl, and it applies this methodology to a real problem, analyzing soil moisture-precipitation coupling in climate reanalysis data. In contrast to many papers in this field, this promises actual insight in the scientific application of the work. </div> <div><a href="#" class="show-hide triangle" data-hide=".ce_comment_102220" data-show=".ce_comment_button_102220">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/16/2149/2023/gmd-16-2149-2023-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/16/2149/2023/gmd-16-2149-2023-avatar-thumb80.png" data-web="https://gmd.copernicus.org/articles/16/2149/2023/gmd-16-2149-2023-avatar-web.png" data-width="600" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="405" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="21"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/16/1445/2023/gmd-16-1445-2023-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/16/1445/2023/gmd-16-1445-2023-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://gmd.copernicus.org/articles/16/1445/2023/gmd-16-1445-2023-avatar-web.png" data-width="600" data-height="497" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 03 Mar 2023</div> <a class="article-title" target="_parent" href="https://gmd.copernicus.org/articles/16/1445/2023/">Porting the WAVEWATCH III (v6.07) wave action source terms to GPU</a> <div class="authors">Olawale James Ikuyajolu, Luke Van Roekel, Steven R. Brus, Erin E. Thomas, Yi Deng, and Sarat Sreepathi</div> <div class="citation">Geosci. Model Dev., 16, 1445–1458, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/gmd-16-1445-2023,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/gmd-16-1445-2023,</span> 2023</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_103758" data-show=".short_summary_103758" data-hide=".short_summary_button_103758" >Short summary</span> <span class="show-hide journal-contentLinkColor triangle ce_comment_button_103758 ml-2" data-show=".ce_comment_103758" data-hide=".ce_comment_button_103758">Executive editor</span> <div class="j-widget__max short_summary short_summary_103758" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> Wind-generated waves play an important role in modifying physical processes at the air–sea interface, but they have been traditionally excluded from climate models due to the high computational cost of running spectral wave models for climate simulations. To address this, our work identified and accelerated the computationally intensive section of WAVEWATCH III on GPU using OpenACC. This allows for high-resolution modeling of atmosphere–wave–ocean feedbacks in century-scale climate integrations. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_103758" data-show=".short_summary_button_103758">Hide</a></div> </div> </div> <div class="j-widget__max ce_comment ce_comment_103758 mt-3" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Executive editor</div> <div class="content"> Having major Earth system model components make full use of new architectures is a critical step on the pathway to exascale climate simulation. This paper documents just this for the widely used WAVEWATCH III model. </div> <div><a href="#" class="show-hide triangle" data-hide=".ce_comment_103758" data-show=".ce_comment_button_103758">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/16/1445/2023/gmd-16-1445-2023-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/16/1445/2023/gmd-16-1445-2023-avatar-thumb80.png" data-web="https://gmd.copernicus.org/articles/16/1445/2023/gmd-16-1445-2023-avatar-web.png" data-width="600" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="497" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="22"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/16/719/2023/gmd-16-719-2023-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/16/719/2023/gmd-16-719-2023-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://gmd.copernicus.org/articles/16/719/2023/gmd-16-719-2023-avatar-web.png" data-width="600" data-height="355" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 30 Jan 2023</div> <a class="article-title" target="_parent" href="https://gmd.copernicus.org/articles/16/719/2023/">Introducing CRYOWRF v1.0: multiscale atmospheric flow simulations with advanced snow cover modelling</a> <div class="authors">Varun Sharma, Franziska Gerber, and Michael Lehning</div> <div class="citation">Geosci. Model Dev., 16, 719–749, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/gmd-16-719-2023,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/gmd-16-719-2023,</span> 2023</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_96186" data-show=".short_summary_96186" data-hide=".short_summary_button_96186" >Short summary</span> <span class="show-hide journal-contentLinkColor triangle ce_comment_button_96186 ml-2" data-show=".ce_comment_96186" data-hide=".ce_comment_button_96186">Executive editor</span> <div class="j-widget__max short_summary short_summary_96186" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> Most current generation climate and weather models have a relatively simplistic description of snow and snow–atmosphere interaction. One reason for this is the belief that including an advanced snow model would make the simulations too computationally demanding. In this study, we bring together two state-of-the-art models for atmosphere (WRF) and snow cover (SNOWPACK) and highlight both the feasibility and necessity of such coupled models to explore underexplored phenomena in the cryosphere. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_96186" data-show=".short_summary_button_96186">Hide</a></div> </div> </div> <div class="j-widget__max ce_comment ce_comment_96186 mt-3" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Executive editor</div> <div class="content"> Modelling the interactions of the atmosphere and cryosphere is essential to understanding our changing climate. This paper presents the coupling of the widely used WRF atmosphere to the SNOWPACK snow model. This work creates an important new tool for the modelling community. </div> <div><a href="#" class="show-hide triangle" data-hide=".ce_comment_96186" data-show=".ce_comment_button_96186">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/16/719/2023/gmd-16-719-2023-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/16/719/2023/gmd-16-719-2023-avatar-thumb80.png" data-web="https://gmd.copernicus.org/articles/16/719/2023/gmd-16-719-2023-avatar-web.png" data-width="600" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="355" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="23"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/16/75/2023/gmd-16-75-2023-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/16/75/2023/gmd-16-75-2023-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://gmd.copernicus.org/articles/16/75/2023/gmd-16-75-2023-avatar-web.png" data-width="600" data-height="555" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 04 Jan 2023</div> <a class="article-title" target="_parent" href="https://gmd.copernicus.org/articles/16/75/2023/">Improving snow albedo modeling in the E3SM land model (version 2.0) and assessing its impacts on snow and surface fluxes over the Tibetan Plateau</a> <div class="authors">Dalei Hao, Gautam Bisht, Karl Rittger, Edward Bair, Cenlin He, Huilin Huang, Cheng Dang, Timbo Stillinger, Yu Gu, Hailong Wang, Yun Qian, and L. Ruby Leung</div> <div class="citation">Geosci. Model Dev., 16, 75–94, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/gmd-16-75-2023,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/gmd-16-75-2023,</span> 2023</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_101817" data-show=".short_summary_101817" data-hide=".short_summary_button_101817" >Short summary</span> <span class="show-hide journal-contentLinkColor triangle ce_comment_button_101817 ml-2" data-show=".ce_comment_101817" data-hide=".ce_comment_button_101817">Executive editor</span> <div class="j-widget__max short_summary short_summary_101817" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> Snow with the highest albedo of land surface plays a vital role in Earth’s surface energy budget and water cycle. This study accounts for the impacts of snow grain shape and mixing state of light-absorbing particles with snow on snow albedo in the E3SM land model. The findings advance our understanding of the role of snow grain shape and mixing state of LAP–snow in land surface processes and offer guidance for improving snow simulations and radiative forcing estimates in Earth system models. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_101817" data-show=".short_summary_button_101817">Hide</a></div> </div> </div> <div class="j-widget__max ce_comment ce_comment_101817 mt-3" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Executive editor</div> <div class="content"> Surface albedo is critical to understanding the Earth's energy balance. It emerges that snow grain shape and internal mixing of impurities are both important to getting this right, but until now these have not been incorporated into Earth System Models. This paper appears to be the first time that these effects have been included in an Earth System Model. </div> <div><a href="#" class="show-hide triangle" data-hide=".ce_comment_101817" data-show=".ce_comment_button_101817">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/16/75/2023/gmd-16-75-2023-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/16/75/2023/gmd-16-75-2023-avatar-thumb80.png" data-web="https://gmd.copernicus.org/articles/16/75/2023/gmd-16-75-2023-avatar-web.png" data-width="600" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="555" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="24"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/15/9075/2022/gmd-15-9075-2022-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/15/9075/2022/gmd-15-9075-2022-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://gmd.copernicus.org/articles/15/9075/2022/gmd-15-9075-2022-avatar-web.png" data-width="473" data-height="600" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 20 Dec 2022</div> <a class="article-title" target="_parent" href="https://gmd.copernicus.org/articles/15/9075/2022/">The IPCC Sixth Assessment Report WGIII climate assessment of mitigation pathways: from emissions to global temperatures</a> <div class="authors">Jarmo S. Kikstra, Zebedee R. J. Nicholls, Christopher J. Smith, Jared Lewis, Robin D. Lamboll, Edward Byers, Marit Sandstad, Malte Meinshausen, Matthew J. Gidden, Joeri Rogelj, Elmar Kriegler, Glen P. Peters, Jan S. Fuglestvedt, Ragnhild B. Skeie, Bjørn H. Samset, Laura Wienpahl, Detlef P. van Vuuren, Kaj-Ivar van der Wijst, Alaa Al Khourdajie, Piers M. Forster, Andy Reisinger, Roberto Schaeffer, and Keywan Riahi</div> <div class="citation">Geosci. Model Dev., 15, 9075–9109, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/gmd-15-9075-2022,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/gmd-15-9075-2022,</span> 2022</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_104417" data-show=".short_summary_104417" data-hide=".short_summary_button_104417" >Short summary</span> <span class="show-hide journal-contentLinkColor triangle ce_comment_button_104417 ml-2" data-show=".ce_comment_104417" data-hide=".ce_comment_button_104417">Executive editor</span> <div class="j-widget__max short_summary short_summary_104417" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> Assessing hundreds or thousands of emission scenarios in terms of their global mean temperature implications requires standardised procedures of infilling, harmonisation, and probabilistic temperature assessments. We here present the open-source <q>climate-assessment</q> workflow that was used in the IPCC AR6 Working Group III report. The paper provides key insight for anyone wishing to understand the assessment of climate outcomes of mitigation pathways in the context of the Paris Agreement. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_104417" data-show=".short_summary_button_104417">Hide</a></div> </div> </div> <div class="j-widget__max ce_comment ce_comment_104417 mt-3" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Executive editor</div> <div class="content"> This paper provides key insight into the methodology of Working Group III of the IPCC Sixth Assessment Report on climate mitigation. The paper will be essential reading for anyone wishing to understand the assessment of climate outcomes of mitigation pathways in the context of the Paris Agreement. </div> <div><a href="#" class="show-hide triangle" data-hide=".ce_comment_104417" data-show=".ce_comment_button_104417">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/15/9075/2022/gmd-15-9075-2022-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/15/9075/2022/gmd-15-9075-2022-avatar-thumb80.png" data-web="https://gmd.copernicus.org/articles/15/9075/2022/gmd-15-9075-2022-avatar-web.png" data-width="473" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="600" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="24"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/15/8411/2022/gmd-15-8411-2022-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/15/8411/2022/gmd-15-8411-2022-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://gmd.copernicus.org/articles/15/8411/2022/gmd-15-8411-2022-avatar-web.png" data-width="600" data-height="259" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 21 Nov 2022</div> <a class="article-title" target="_parent" href="https://gmd.copernicus.org/articles/15/8411/2022/">Global biomass burning fuel consumption and emissions at 500 m spatial resolution based on the Global Fire Emissions Database (GFED)</a> <div class="authors">Dave van Wees, Guido R. van der Werf, James T. Randerson, Brendan M. Rogers, Yang Chen, Sander Veraverbeke, Louis Giglio, and Douglas C. Morton</div> <div class="citation">Geosci. Model Dev., 15, 8411–8437, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/gmd-15-8411-2022,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/gmd-15-8411-2022,</span> 2022</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_103200" data-show=".short_summary_103200" data-hide=".short_summary_button_103200" >Short summary</span> <span class="show-hide journal-contentLinkColor triangle ce_comment_button_103200 ml-2" data-show=".ce_comment_103200" data-hide=".ce_comment_button_103200">Executive editor</span> <div class="j-widget__max short_summary short_summary_103200" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> We present a global fire emission model based on the GFED model framework with a spatial resolution of 500 m. The higher resolution allowed for a more detailed representation of spatial heterogeneity in fuels and emissions. Specific modules were developed to model, for example, emissions from fire-related forest loss and belowground burning. Results from the 500 m model were compared to GFED4s, showing that global emissions were relatively similar but that spatial differences were substantial. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_103200" data-show=".short_summary_button_103200">Hide</a></div> </div> </div> <div class="j-widget__max ce_comment ce_comment_103200 mt-3" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Executive editor</div> <div class="content"> Fire is a pervasive feature of the Earth system, and a cause of significant carbon emissions. This manuscript presents a higher resolution fire emissions data set than previously available, thereby providing a valuable resource to the scientific community. </div> <div><a href="#" class="show-hide triangle" data-hide=".ce_comment_103200" data-show=".ce_comment_button_103200">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/15/8411/2022/gmd-15-8411-2022-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/15/8411/2022/gmd-15-8411-2022-avatar-thumb80.png" data-web="https://gmd.copernicus.org/articles/15/8411/2022/gmd-15-8411-2022-avatar-web.png" data-width="600" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="259" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="27"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/15/6817/2022/gmd-15-6817-2022-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/15/6817/2022/gmd-15-6817-2022-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://gmd.copernicus.org/articles/15/6817/2022/gmd-15-6817-2022-avatar-web.png" data-width="600" data-height="518" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 08 Sep 2022</div> <a class="article-title" target="_parent" href="https://gmd.copernicus.org/articles/15/6817/2022/">HORAYZON v1.2: an efficient and flexible ray-tracing algorithm to compute horizon and sky view factor</a> <div class="authors">Christian R. Steger, Benjamin Steger, and Christoph Schär</div> <div class="citation">Geosci. Model Dev., 15, 6817–6840, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/gmd-15-6817-2022,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/gmd-15-6817-2022,</span> 2022</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_101770" data-show=".short_summary_101770" data-hide=".short_summary_button_101770" >Short summary</span> <span class="show-hide journal-contentLinkColor triangle ce_comment_button_101770 ml-2" data-show=".ce_comment_101770" data-hide=".ce_comment_button_101770">Executive editor</span> <div class="j-widget__max short_summary short_summary_101770" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> Terrain horizon and sky view factor are crucial quantities for many geoscientific applications; e.g. they are used to account for effects of terrain on surface radiation in climate and land surface models. Because typical terrain horizon algorithms are inefficient for high-resolution (< 30 m) elevation data, we developed a new algorithm based on a ray-tracing library. A comparison with two conventional methods revealed both its high performance and its accuracy for complex terrain. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_101770" data-show=".short_summary_button_101770">Hide</a></div> </div> </div> <div class="j-widget__max ce_comment ce_comment_101770 mt-3" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Executive editor</div> <div class="content"> Finding the horizon is commonplace for humans, and evocative when imagining journeys on the coast, in the mountains, or in endless plains. This paper shows a way to optimize a machine's ability to complete the same task, with the goal of bettering our ability to understand nature and climate. </div> <div><a href="#" class="show-hide triangle" data-hide=".ce_comment_101770" data-show=".ce_comment_button_101770">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/15/6817/2022/gmd-15-6817-2022-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/15/6817/2022/gmd-15-6817-2022-avatar-thumb80.png" data-web="https://gmd.copernicus.org/articles/15/6817/2022/gmd-15-6817-2022-avatar-web.png" data-width="600" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="518" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="29"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/15/5371/2022/gmd-15-5371-2022-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/15/5371/2022/gmd-15-5371-2022-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://gmd.copernicus.org/articles/15/5371/2022/gmd-15-5371-2022-avatar-web.png" data-width="600" data-height="292" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 14 Jul 2022</div> <a class="article-title" target="_parent" href="https://gmd.copernicus.org/articles/15/5371/2022/">The eWaterCycle platform for open and FAIR hydrological collaboration</a> <div class="authors">Rolf Hut, Niels Drost, Nick van de Giesen, Ben van Werkhoven, Banafsheh Abdollahi, Jerom Aerts, Thomas Albers, Fakhereh Alidoost, Bouwe Andela, Jaro Camphuijsen, Yifat Dzigan, Ronald van Haren, Eric Hutton, Peter Kalverla, Maarten van Meersbergen, Gijs van den Oord, Inti Pelupessy, Stef Smeets, Stefan Verhoeven, Martine de Vos, and Berend Weel</div> <div class="citation">Geosci. Model Dev., 15, 5371–5390, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/gmd-15-5371-2022,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/gmd-15-5371-2022,</span> 2022</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_98337" data-show=".short_summary_98337" data-hide=".short_summary_button_98337" >Short summary</span> <span class="show-hide journal-contentLinkColor triangle ce_comment_button_98337 ml-2" data-show=".ce_comment_98337" data-hide=".ce_comment_button_98337">Executive editor</span> <div class="j-widget__max short_summary short_summary_98337" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> With the eWaterCycle platform, we are providing the hydrological community with a platform to conduct their research that is fully compatible with the principles of both open science and FAIR science. The eWatercyle platform gives easy access to well-known hydrological models, big datasets and example experiments. Using eWaterCycle hydrologists can easily compare the results from different models, couple models and do more complex hydrological computational research. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_98337" data-show=".short_summary_button_98337">Hide</a></div> </div> </div> <div class="j-widget__max ce_comment ce_comment_98337 mt-3" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Executive editor</div> <div class="content"> This work removes the massive specialist-knowledge barrier to running hydrological models, making them usable by a much broader swath of scientific community -- and potentially beyond. </div> <div><a href="#" class="show-hide triangle" data-hide=".ce_comment_98337" data-show=".ce_comment_button_98337">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/15/5371/2022/gmd-15-5371-2022-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/15/5371/2022/gmd-15-5371-2022-avatar-thumb80.png" data-web="https://gmd.copernicus.org/articles/15/5371/2022/gmd-15-5371-2022-avatar-web.png" data-width="600" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="292" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="29"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/15/5127/2022/gmd-15-5127-2022-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/15/5127/2022/gmd-15-5127-2022-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://gmd.copernicus.org/articles/15/5127/2022/gmd-15-5127-2022-avatar-web.png" data-width="600" data-height="288" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 05 Jul 2022</div> <a class="article-title" target="_parent" href="https://gmd.copernicus.org/articles/15/5127/2022/">Towards automatic finite-element methods for geodynamics via Firedrake</a> <div class="authors">D. Rhodri Davies, Stephan C. Kramer, Sia Ghelichkhan, and Angus Gibson</div> <div class="citation">Geosci. Model Dev., 15, 5127–5166, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/gmd-15-5127-2022,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/gmd-15-5127-2022,</span> 2022</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_98874" data-show=".short_summary_98874" data-hide=".short_summary_button_98874" >Short summary</span> <span class="show-hide journal-contentLinkColor triangle ce_comment_button_98874 ml-2" data-show=".ce_comment_98874" data-hide=".ce_comment_button_98874">Executive editor</span> <div class="j-widget__max short_summary short_summary_98874" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> Firedrake is a state-of-the-art system that automatically generates highly optimised code for simulating finite-element (FE) problems in geophysical fluid dynamics. It creates a separation of concerns between employing the FE method and implementing it. Here, we demonstrate the applicability and benefits of Firedrake for simulating geodynamical flows, with a focus on the slow creeping motion of Earth's mantle over geological timescales, which is ultimately the engine driving our dynamic Earth. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_98874" data-show=".short_summary_button_98874">Hide</a></div> </div> </div> <div class="j-widget__max ce_comment ce_comment_98874 mt-3" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Executive editor</div> <div class="content"> This paper introduces Firedrake, a new automatic system to generate code and solve partial differential equations using finite element methods. This capability is a core need of many models, and consequently a source of significant redundant software development effort. Because it does not prescribe a particular set of equations, the Firedrake software is applicable to a wide range of geoscientific models. Firedrake demonstrates remarkable computational efficiency, scaling beyond 12,000 computing cores. It is also free-libre open source software, contributing to improvements in scientific computational replicability and reproducibility. </div> <div><a href="#" class="show-hide triangle" data-hide=".ce_comment_98874" data-show=".ce_comment_button_98874">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/15/5127/2022/gmd-15-5127-2022-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/15/5127/2022/gmd-15-5127-2022-avatar-thumb80.png" data-web="https://gmd.copernicus.org/articles/15/5127/2022/gmd-15-5127-2022-avatar-web.png" data-width="600" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="288" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="31"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/15/3831/2022/gmd-15-3831-2022-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/15/3831/2022/gmd-15-3831-2022-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://gmd.copernicus.org/articles/15/3831/2022/gmd-15-3831-2022-avatar-web.png" data-width="600" data-height="301" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 12 May 2022</div> <a class="article-title" target="_parent" href="https://gmd.copernicus.org/articles/15/3831/2022/">Training a supermodel with noisy and sparse observations: a case study with CPT and the synch rule on SPEEDO – v.1</a> <div class="authors">Francine Schevenhoven and Alberto Carrassi</div> <div class="citation">Geosci. Model Dev., 15, 3831–3844, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/gmd-15-3831-2022,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/gmd-15-3831-2022,</span> 2022</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_95863" data-show=".short_summary_95863" data-hide=".short_summary_button_95863" >Short summary</span> <div class="j-widget__max short_summary short_summary_95863" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> In this study, we present a novel formulation to build a dynamical combination of models, the so-called supermodel, which needs to be trained based on data. Previously, we assumed complete and noise-free observations. Here, we move towards a realistic scenario and develop adaptations to the training methods in order to cope with sparse and noisy observations. The results are very promising and shed light on how to apply the method with state of the art general circulation models. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_95863" data-show=".short_summary_button_95863">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/15/3831/2022/gmd-15-3831-2022-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/15/3831/2022/gmd-15-3831-2022-avatar-thumb80.png" data-web="https://gmd.copernicus.org/articles/15/3831/2022/gmd-15-3831-2022-avatar-web.png" data-width="600" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="301" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="33"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/15/1595/2022/gmd-15-1595-2022-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/15/1595/2022/gmd-15-1595-2022-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://gmd.copernicus.org/articles/15/1595/2022/gmd-15-1595-2022-avatar-web.png" data-width="600" data-height="376" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 23 Feb 2022</div> <a class="article-title" target="_parent" href="https://gmd.copernicus.org/articles/15/1595/2022/">Using neural network ensembles to separate ocean biogeochemical and physical drivers of phytoplankton biogeography in Earth system models</a> <div class="authors">Christopher Holder, Anand Gnanadesikan, and Marie Aude-Pradal</div> <div class="citation">Geosci. Model Dev., 15, 1595–1617, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/gmd-15-1595-2022,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/gmd-15-1595-2022,</span> 2022</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_94838" data-show=".short_summary_94838" data-hide=".short_summary_button_94838" >Short summary</span> <div class="j-widget__max short_summary short_summary_94838" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> It can be challenging to understand why Earth system models (ESMs) produce specific results because one can arrive at the same result simply by changing the values of the parameters. In our paper, we demonstrate that it is possible to use machine learning to figure out how and why particular components of an ESM (such as biology or ocean circulations) affect the output. This work could be applied to observations to improve the accuracy of the formulations used in ESMs. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_94838" data-show=".short_summary_button_94838">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/15/1595/2022/gmd-15-1595-2022-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/15/1595/2022/gmd-15-1595-2022-avatar-thumb80.png" data-web="https://gmd.copernicus.org/articles/15/1595/2022/gmd-15-1595-2022-avatar-web.png" data-width="600" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="376" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="34"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/15/1413/2022/gmd-15-1413-2022-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/15/1413/2022/gmd-15-1413-2022-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://gmd.copernicus.org/articles/15/1413/2022/gmd-15-1413-2022-avatar-web.png" data-width="600" data-height="502" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 17 Feb 2022</div> <a class="article-title" target="_parent" href="https://gmd.copernicus.org/articles/15/1413/2022/">CSDMS: a community platform for numerical modeling of Earth surface processes</a> <div class="authors">Gregory E. Tucker, Eric W. H. Hutton, Mark D. Piper, Benjamin Campforts, Tian Gan, Katherine R. Barnhart, Albert J. Kettner, Irina Overeem, Scott D. Peckham, Lynn McCready, and Jaia Syvitski</div> <div class="citation">Geosci. Model Dev., 15, 1413–1439, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/gmd-15-1413-2022,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/gmd-15-1413-2022,</span> 2022</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_95889" data-show=".short_summary_95889" data-hide=".short_summary_button_95889" >Short summary</span> <div class="j-widget__max short_summary short_summary_95889" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> Scientists use computer simulation models to understand how Earth surface processes work, including floods, landslides, soil erosion, river channel migration, ocean sedimentation, and coastal change. Research benefits when the software for simulation modeling is open, shared, and coordinated. The Community Surface Dynamics Modeling System (CSDMS) is a US-based facility that supports research by providing community support, computing tools and guidelines, and educational resources. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_95889" data-show=".short_summary_button_95889">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/15/1413/2022/gmd-15-1413-2022-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/15/1413/2022/gmd-15-1413-2022-avatar-thumb80.png" data-web="https://gmd.copernicus.org/articles/15/1413/2022/gmd-15-1413-2022-avatar-web.png" data-width="600" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="502" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="34"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/15/617/2022/gmd-15-617-2022-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/15/617/2022/gmd-15-617-2022-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://gmd.copernicus.org/articles/15/617/2022/gmd-15-617-2022-avatar-web.png" data-width="600" data-height="559" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 26 Jan 2022</div> <a class="article-title" target="_parent" href="https://gmd.copernicus.org/articles/15/617/2022/">The Whole Antarctic Ocean Model (WAOM v1.0): development and evaluation</a> <div class="authors">Ole Richter, David E. Gwyther, Benjamin K. Galton-Fenzi, and Kaitlin A. Naughten</div> <div class="citation">Geosci. Model Dev., 15, 617–647, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/gmd-15-617-2022,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/gmd-15-617-2022,</span> 2022</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_85897" data-show=".short_summary_85897" data-hide=".short_summary_button_85897" >Short summary</span> <div class="j-widget__max short_summary short_summary_85897" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> Here we present an improved model of the Antarctic continental shelf ocean and demonstrate that it is capable of reproducing present-day conditions. The improvements are fundamental and regard the inclusion of tides and ocean eddies. We conclude that the model is well suited to gain new insights into processes that are important for Antarctic ice sheet retreat and global ocean changes. Hence, the model will ultimately help to improve projections of sea level rise and climate change. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_85897" data-show=".short_summary_button_85897">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/15/617/2022/gmd-15-617-2022-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/15/617/2022/gmd-15-617-2022-avatar-thumb80.png" data-web="https://gmd.copernicus.org/articles/15/617/2022/gmd-15-617-2022-avatar-web.png" data-width="600" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="559" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="34"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/15/669/2022/gmd-15-669-2022-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/15/669/2022/gmd-15-669-2022-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://gmd.copernicus.org/articles/15/669/2022/gmd-15-669-2022-avatar-web.png" data-width="508" data-height="600" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 26 Jan 2022</div> <a class="article-title" target="_parent" href="https://gmd.copernicus.org/articles/15/669/2022/">Numerically consistent budgets of potential temperature, momentum, and moisture in Cartesian coordinates: application to the WRF model</a> <div class="authors">Matthias Göbel, Stefano Serafin, and Mathias W. Rotach</div> <div class="citation">Geosci. Model Dev., 15, 669–681, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/gmd-15-669-2022,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/gmd-15-669-2022,</span> 2022</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_94884" data-show=".short_summary_94884" data-hide=".short_summary_button_94884" >Short summary</span> <div class="j-widget__max short_summary short_summary_94884" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> We present WRFlux, an open-source software that allows numerically consistent, time-averaged budget evaluation of prognostic variables for the numerical weather prediction model WRF as well as the transformation of the budget equations from the terrain-following grid of the model to the Cartesian coordinate system. We demonstrate the performance and a possible application of WRFlux and illustrate the detrimental effects of approximations that are inconsistent with the model numerics. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_94884" data-show=".short_summary_button_94884">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/15/669/2022/gmd-15-669-2022-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/15/669/2022/gmd-15-669-2022-avatar-thumb80.png" data-web="https://gmd.copernicus.org/articles/15/669/2022/gmd-15-669-2022-avatar-web.png" data-width="508" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="600" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="35"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/15/269/2022/gmd-15-269-2022-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/15/269/2022/gmd-15-269-2022-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://gmd.copernicus.org/articles/15/269/2022/gmd-15-269-2022-avatar-web.png" data-width="600" data-height="393" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 13 Jan 2022</div> <a class="article-title" target="_parent" href="https://gmd.copernicus.org/articles/15/269/2022/">Impact of increased resolution on long-standing biases in HighResMIP-PRIMAVERA climate models</a> <div class="authors">Eduardo Moreno-Chamarro, Louis-Philippe Caron, Saskia Loosveldt Tomas, Javier Vegas-Regidor, Oliver Gutjahr, Marie-Pierre Moine, Dian Putrasahan, Christopher D. Roberts, Malcolm J. Roberts, Retish Senan, Laurent Terray, Etienne Tourigny, and Pier Luigi Vidale</div> <div class="citation">Geosci. Model Dev., 15, 269–289, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/gmd-15-269-2022,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/gmd-15-269-2022,</span> 2022</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_95575" data-show=".short_summary_95575" data-hide=".short_summary_button_95575" >Short summary</span> <div class="j-widget__max short_summary short_summary_95575" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> Climate models do not fully reproduce observations: they show differences (biases) in regional temperature, precipitation, or cloud cover. Reducing model biases is important to increase our confidence in their ability to reproduce present and future climate changes. Model realism is set by its resolution: the finer it is, the more physical processes and interactions it can resolve. We here show that increasing resolution of up to ~ 25 km can help reduce model biases but not remove them entirely. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_95575" data-show=".short_summary_button_95575">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> <a class="paperlist-avatar" target="_blank" href="https://gmd.copernicus.org/articles/15/269/2022/gmd-15-269-2022-avatar-web.png"> <img class="img-responsive" src="https://gmd.copernicus.org/articles/15/269/2022/gmd-15-269-2022-avatar-thumb80.png" data-web="https://gmd.copernicus.org/articles/15/269/2022/gmd-15-269-2022-avatar-web.png" data-width="600" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="393" width="80" height="80"> </a> </div> </div> <div class="co-notification"> This list shows papers published within the last 1080 days. 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