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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> <!-- END_SITE_SEARCH --></div></div> </div> </div> </div> </div> </header> <!--=== Content ===--> <main class="one-column version-2023"> <div id="content" class="container"> <div id="page_content_container" class="CMSCONTAINER row"> <div class="col"> <div class="level2Toc"> <div class="grid-container no-margin"> <div class="grid-100"> <h1>Opinion</h1> </div> </div> <div class="row no-gutters auto-fixed-top-forced"> <div class="col-12 hide-on-fixed"> <div class="grid-container show-js paperList-filter" style="display: none;"> <div class="grid-100"> <form class="radio" autocomplete="off"> <div class="row no-gutters"> <div class="col-auto mr-2"> <label> <input type="radio" class="show-hide" name="paperListFilter" checked="checked" value="all" data-bubble="true" data-show=".paperList-final,.paperList-discussion"> All papers </label> </div> <div class="col-auto mr-2"> <label> <input type="radio" class="show-hide" name="paperListFilter" value="final" data-bubble="true" data-show=".paperList-final" data-hide=".paperList-discussion"> Final revised papers only </label> </div> <div class="col-auto mr-2"> <label> <input type="radio" class="show-hide" name="paperListFilter" value="discussion" data-bubble="true" data-show=".paperList-discussion" data-hide=".paperList-final"> Preprints only </label> </div> </div> </form> </div> </div> </div> <div class="col-12 pb-3 show-on-fixed recent-selection-wrapper" style="display:none;"> <button type="button" class="btn btn-primary">Filters</button> </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://acp.copernicus.org/articles/24/13001/2024/acp-24-13001-2024-avatar-web.png"> <img class="img-responsive" src="https://acp.copernicus.org/articles/24/13001/2024/acp-24-13001-2024-avatar-thumb80.png" data-caption="© Anderson et al. 2024, adapted by Duncan" data-web="https://acp.copernicus.org/articles/24/13001/2024/acp-24-13001-2024-avatar-web.png" data-width="600" data-height="217" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 26 Nov 2024</div> <a class="article-title" target="_parent" href="https://acp.copernicus.org/articles/24/13001/2024/">Opinion: Beyond global means – novel space-based approaches to indirectly constrain the concentrations of and trends and variations in the tropospheric hydroxyl radical (OH)</a> <div class="authors">Bryan N. Duncan, Daniel C. Anderson, Arlene M. Fiore, Joanna Joiner, Nickolay A. Krotkov, Can Li, Dylan B. Millet, Julie M. Nicely, Luke D. Oman, Jason M. St. Clair, Joshua D. Shutter, Amir H. Souri, Sarah A. Strode, Brad Weir, Glenn M. Wolfe, Helen M. Worden, and Qindan Zhu</div> <div class="citation">Atmos. Chem. Phys., 24, 13001–13023, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/acp-24-13001-2024,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/acp-24-13001-2024,</span> 2024</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_122151" data-show=".short_summary_122151" data-hide=".short_summary_button_122151" >Short summary</span> <span class="show-hide journal-contentLinkColor triangle ce_comment_button_122151 ml-2" data-show=".ce_comment_122151" data-hide=".ce_comment_button_122151">Executive editor</span> <div class="j-widget__max short_summary short_summary_122151" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> Trace gases emitted to or formed within the atmosphere may be chemically or physically removed from the atmosphere. One trace gas, the hydroxyl radical (OH), is responsible for initiating the chemical removal of many trace gases, including some greenhouse gases. Despite its importance, scientists have not been able to adequately measure OH. In this opinion piece, we discuss promising new methods to indirectly constrain OH using satellite data of trace gases that control the abundance of OH. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_122151" data-show=".short_summary_button_122151">Hide</a></div> </div> </div> <div class="j-widget__max ce_comment ce_comment_122151 mt-3" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Executive editor</div> <div class="content"> Tropospheric OH plays a central role in the chemical degradation and formation of air pollutants and climate-relevant trace gases. Traditional direct measurements of the extremely short-lived OH radicals provide localised information on the OH budget. Due to the high technical complexity and scarcity of such measurements, they are practically unsuitable for mapping global spatio-temporal OH distributions. Budget analyses of long-lived tracers (e.g. methyl chloroform) that react exclusively with OH provide estimates of the global mean OH and its temporal variability, but lack spatial resolution. This forward-looking opinion paper discusses new ideas and proposals to constrain global chemical sources and sinks of tropospheric OH using satellite and suborbital observations. The proposed approaches promise a better understanding of the global OH budget at higher spatial and temporal resolution than has been possible to date. </div> <div><a href="#" class="show-hide triangle" data-hide=".ce_comment_122151" data-show=".ce_comment_button_122151">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://acp.copernicus.org/articles/24/13001/2024/acp-24-13001-2024-avatar-web.png"> <img class="img-responsive" src="https://acp.copernicus.org/articles/24/13001/2024/acp-24-13001-2024-avatar-thumb80.png" data-web="https://acp.copernicus.org/articles/24/13001/2024/acp-24-13001-2024-avatar-web.png" data-width="600" data-caption="© Anderson et al. 2024, adapted by Duncan" data-height="217" 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://acp.copernicus.org/articles/24/11981/2024/acp-24-11981-2024-avatar-web.png"> <img class="img-responsive" src="https://acp.copernicus.org/articles/24/11981/2024/acp-24-11981-2024-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://acp.copernicus.org/articles/24/11981/2024/acp-24-11981-2024-avatar-web.png" data-width="600" data-height="150" 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://acp.copernicus.org/articles/24/11981/2024/">Opinion: How will advances in aerosol science inform our understanding of the health impacts of outdoor particulate pollution?</a> <div class="authors">Imad El Haddad, Danielle Vienneau, Kaspar R. Daellenbach, Robin Modini, Jay G. Slowik, Abhishek Upadhyay, Petros N. Vasilakos, David Bell, Kees de Hoogh, and Andre S. H. Prevot</div> <div class="citation">Atmos. Chem. Phys., 24, 11981–12011, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/acp-24-11981-2024,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/acp-24-11981-2024,</span> 2024</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_112945" data-show=".short_summary_112945" data-hide=".short_summary_button_112945" >Short summary</span> <span class="show-hide journal-contentLinkColor triangle ce_comment_button_112945 ml-2" data-show=".ce_comment_112945" data-hide=".ce_comment_button_112945">Executive editor</span> <div class="j-widget__max short_summary short_summary_112945" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> This opinion paper explores how advances in aerosol science inform our understanding of the health impacts of outdoor particulate pollution. We advocate for a shift in the way we target PM pollution, focusing on the most harmful anthropogenic emissions. We highlight key observations, modelling developments, and emission measurements needed to achieve this shift. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_112945" data-show=".short_summary_button_112945">Hide</a></div> </div> </div> <div class="j-widget__max ce_comment ce_comment_112945 mt-3" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Executive editor</div> <div class="content"> While it has been established for decades that particulate matter, especially the PM2.5 fraction, can be quantitatively linked to a variety of negative health outcomes from both long- and short-term exposure, our ability to conclusively link this to specific particle components or types has proved stubbornly elusive. If particular sources or chemical components were found to be the driving factors, these could lead to more effective interventions and regulations. Because of recent advances in our observational capabilities and fundamental understanding of particle composition and toxicity, this opinion piece argues that we are at a pivotal moment in this ongoing area of study, and summarises some recent advances in this area. </div> <div><a href="#" class="show-hide triangle" data-hide=".ce_comment_112945" data-show=".ce_comment_button_112945">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://acp.copernicus.org/articles/24/11981/2024/acp-24-11981-2024-avatar-web.png"> <img class="img-responsive" src="https://acp.copernicus.org/articles/24/11981/2024/acp-24-11981-2024-avatar-thumb80.png" data-web="https://acp.copernicus.org/articles/24/11981/2024/acp-24-11981-2024-avatar-web.png" data-width="600" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="150" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object type-1 in-range paperList-discussion" data-diff="3"> <div class="grid-100 hide-on-desktop hide-on-tablet"> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 05 Sep 2024</div> <a class="article-title" target="_parent" href="https://egusphere.copernicus.org/preprints/2024/egusphere-2024-2528/">Opinion: The Impact of AerChemMIP on Climate and Air Quality Research</a> <div class="authors">Paul T. Griffiths, Laura J. Wilcox, Robert J. Allen, Vaishali Naik, Fiona M. O'Connor, Michael J. Prather, Alexander T. Archibald, Florence Brown, Makoto Deushi, William Collins, Stephanie Fiedler, Naga Oshima, Lee T. Murray, Christopher J. Smith, Steven T. Turnock, Duncan Watson-Parris, and Paul J. Young</div> <div class="citation">EGUsphere, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/egusphere-2024-2528,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/egusphere-2024-2528,</span> 2024</div> <div class="statusMessage"><span>Preprint under review for ACP</span> <nobr>(discussion: final response, 2 comments)</nobr></div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_122511" data-show=".short_summary_122511" data-hide=".short_summary_button_122511" >Short summary</span> <div class="j-widget__max short_summary short_summary_122511" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> The Aerosol Chemistry Model Intercomparison Project (AerChemMIP) aimed to quantify the climate and air quality impacts of aerosols and chemically reactive gases. In this paper, we review its contribution to AR6, and the wider understanding of the role of these species in climate and climate change. We identify remaining challenges concluding with recommendations aimed to improve the utility and uptake of climate model data to address the role of short-lived climate forcers in the Earth system. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_122511" data-show=".short_summary_button_122511">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> </div> </div> <div class="grid-container paperlist-object in-range paperList-final" data-diff="6"> <div class="grid-100 hide-on-desktop hide-on-tablet"> <a class="paperlist-avatar" target="_blank" href="https://acp.copernicus.org/articles/24/7041/2024/acp-24-7041-2024-avatar-web.png"> <img class="img-responsive" src="https://acp.copernicus.org/articles/24/7041/2024/acp-24-7041-2024-avatar-thumb80.png" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-web="https://acp.copernicus.org/articles/24/7041/2024/acp-24-7041-2024-avatar-web.png" data-width="600" data-height="499" width="80" height="80"> </a> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 19 Jun 2024</div> <a class="article-title" target="_parent" href="https://acp.copernicus.org/articles/24/7041/2024/">Opinion: Optimizing climate models with process knowledge, resolution, and artificial intelligence</a> <div class="authors">Tapio Schneider, L. Ruby Leung, and Robert C. J. Wills</div> <div class="citation">Atmos. Chem. Phys., 24, 7041–7062, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/acp-24-7041-2024,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/acp-24-7041-2024,</span> 2024</div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_117362" data-show=".short_summary_117362" data-hide=".short_summary_button_117362" >Short summary</span> <span class="show-hide journal-contentLinkColor triangle ce_comment_button_117362 ml-2" data-show=".ce_comment_117362" data-hide=".ce_comment_button_117362">Executive editor</span> <div class="j-widget__max short_summary short_summary_117362" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> <p class="p1"><span class="s1">Climate models are crucial for predicting climate change in detail. This paper proposes a balanced approach to improving their accuracy by combining traditional process-based methods with modern artificial intelligence (AI) techniques while maximizing the resolution to allow for ensemble simulations. The authors propose using AI to learn from both observational and simulated data while incorporating existing physical knowledge to reduce data demands and improve climate prediction reliability.</span> </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_117362" data-show=".short_summary_button_117362">Hide</a></div> </div> </div> <div class="j-widget__max ce_comment ce_comment_117362 mt-3" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Executive editor</div> <div class="content"> This article was solicited for the ACP 20th Anniversary collection. It received positive reviews that very nicely contributed to the ideas and to which the authors responded thoroughly. It is a stimulating read, combining 'big-picture' considerations with more detailed technical discussion of important and illuminating examples. </div> <div><a href="#" class="show-hide triangle" data-hide=".ce_comment_117362" data-show=".ce_comment_button_117362">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://acp.copernicus.org/articles/24/7041/2024/acp-24-7041-2024-avatar-web.png"> <img class="img-responsive" src="https://acp.copernicus.org/articles/24/7041/2024/acp-24-7041-2024-avatar-thumb80.png" data-web="https://acp.copernicus.org/articles/24/7041/2024/acp-24-7041-2024-avatar-web.png" data-width="600" data-caption="© Author(s). Distributed under the Creative Commons Attribution 4.0 License." data-height="499" width="80" height="80"> </a> </div> </div> <div class="grid-container paperlist-object type-2 in-range paperList-discussion" data-diff="6"> <div class="grid-100 hide-on-desktop hide-on-tablet"> </div> <div class="grid-85 tablet-grid-85"> <div class="published-date"> 04 Jun 2024</div> <a class="article-title" target="_parent" href="https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1636/">Opinion: Why all emergent constraints are wrong but some are useful – a machine learning perspective</a> <div class="authors">Peer Nowack and Duncan Watson-Parris</div> <div class="citation">EGUsphere, <nobr class="hide-on-mobile hide-on-tablet">https://doi.org/10.5194/egusphere-2024-1636,</nobr><span class="hide-on-desktop">https://doi.org/10.5194/egusphere-2024-1636,</span> 2024</div> <div class="statusMessage"><span>Revised manuscript under review for ACP</span> <nobr>(discussion: final response, 4 comments)</nobr></div> <span class="show-hide journal-contentLinkColor triangle short_summary_button_120687" data-show=".short_summary_120687" data-hide=".short_summary_button_120687" >Short summary</span> <div class="j-widget__max short_summary short_summary_120687" style="display: none"> <div class="widget dark-border"> <div class="legend journal-contentLinkColor">Short summary</div> <div class="content"> In our Opinion article, we review uncertainties in global climate change projections and current methods using Earth observations to constrain them, which is crucial for climate risk assessments and for informing society. We then discuss how machine learning can advance the field, discussing recent work that provides potentially stronger and more robust links between observed data and future climate projections. We further discuss challenges of applying machine learning to climate science. </div> <div><a href="#" class="show-hide triangle" data-hide=".short_summary_120687" data-show=".short_summary_button_120687">Hide</a></div> </div> </div> </div> <div class="grid-15 tablet-grid-15 text-right hide-on-mobile"> </div> </div> <!-- Root element of PhotoSwipe. Must have class pswp. --> <div class="pswp" tabindex="-1" role="dialog" aria-hidden="true" > <!-- Background of PhotoSwipe. It's a separate element as animating opacity is faster than rgba(). --> <div class="pswp__bg"></div> <!-- Slides wrapper with overflow:hidden. --> <div class="pswp__scroll-wrap"> <!-- Container that holds slides. PhotoSwipe keeps only 3 of them in the DOM to save memory. 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