{"id":240,"date":"2025-10-02T10:34:09","date_gmt":"2025-10-02T10:34:09","guid":{"rendered":"https:\/\/test.clear-eo.eu\/?page_id=240"},"modified":"2025-11-12T21:20:00","modified_gmt":"2025-11-12T21:20:00","slug":"pilot-application-3","status":"publish","type":"page","link":"https:\/\/clear-eo.eu\/?page_id=240","title":{"rendered":"Air quality in urban areas"},"content":{"rendered":"\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"769\" height=\"659\" src=\"https:\/\/clear-eo.eu\/wp-content\/uploads\/2025\/11\/Air-quality-map.png\" alt=\"\" class=\"wp-image-458\" srcset=\"https:\/\/clear-eo.eu\/wp-content\/uploads\/2025\/11\/Air-quality-map.png 769w, https:\/\/clear-eo.eu\/wp-content\/uploads\/2025\/11\/Air-quality-map-300x257.png 300w\" sizes=\"auto, (max-width: 769px) 100vw, 769px\" \/><\/figure>\n\n\n\n<p><em><strong>The Air quality in urban areas<\/strong> application enhances air quality forecasts by integrating&nbsp;&nbsp;&nbsp;&nbsp; satellite observations with advanced models like CHIMERE and machine learning to provide more accurate and&nbsp; detailed predictions of aerosol pollution.<\/em><\/p>\n\n\n\n<p class=\"has-easy-color-ai-2-color has-text-color has-link-color has-large-font-size wp-elements-6c97b390bf39e14fcb47767b829190ae\"><strong>Air quality forecast<\/strong><\/p>\n\n\n\n<p>Air quality monitoring and modelling application integrates Earth observation data with advanced simulation tools. The system combines the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Weather_Research_and_Forecasting_Model\" data-type=\"link\" data-id=\"https:\/\/en.wikipedia.org\/wiki\/Weather_Research_and_Forecasting_Model\" target=\"_blank\" rel=\"noreferrer noopener\">WRF meteorological model<\/a> and the <a href=\"https:\/\/gmd.copernicus.org\/articles\/17\/5431\/2024\/\" target=\"_blank\" rel=\"noreferrer noopener\">CHIMERE chemistry-transport model<\/a> to analyse and forecast air pollution across <strong>Europe<\/strong> and in high detail over <strong>Marseille<\/strong>. (see map above)<\/p>\n\n\n\n<p>The modelling chain operates on two domains: a European scale (10\u201330 km) providing large-scale transport and boundary conditions, and a high-resolution domain over Marseille (1\u20133 km) capturing local emission dynamics from traffic, industry, maritime activities, and dust events.<\/p>\n\n\n\n<p>Using <a href=\"https:\/\/edgar.jrc.ec.europa.eu\/\" target=\"_blank\" rel=\"noreferrer noopener\">EDGAR emissions<\/a> for the European domain and <a href=\"https:\/\/www.atmosud.org\/\" target=\"_blank\" rel=\"noreferrer noopener\">AtmoSud<\/a> inventories for Marseille, and driven by <a href=\"https:\/\/atmosphere.copernicus.eu\/global-forecast-plots\" target=\"_blank\" rel=\"noreferrer noopener\">CAMS global forecasts<\/a>, the application will deliver high-quality data and insights on air pollutant behaviour.<\/p>\n\n\n\n<p>This pilot application showcases how CLEAR-EO supports urban air quality management and evidence-based environmental policies through the integration of Earth observation, modelling, and data services.<\/p>\n\n\n\n<p>CLEAR-EO partners involved: SUEZ ARIA, UPEC, and SISTEMA<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Stakeholders:<\/strong><\/li>\n<\/ul>\n\n\n\n<p>By actively participating in the dissemination of results to end users, AtmoSud (Air Quality network for the South East region of France) contributes to the broader accessibility and applicability of the forecasting system, extending its impact beyond the consortium to a diverse range of stakeholders, scientific communities, and potential beneficiaries.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Dataset:<\/strong><\/li>\n<\/ul>\n\n\n\n<p>Datasets coming from different sources will be processed and optimised for Machine learning applications. The combination of Sentinel-5 precursor, Sentinel-5 and Sentinel-4 (respectively S5P, S5 and S4) will provide more data about the chemical species and aerosols and their vertical distribution with an unprecedented temporal resolution.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Air quality in urban areas application enhances air quality forecasts by integrating&nbsp;&nbsp;&nbsp;&nbsp; satellite observations with advanced models like CHIMERE and machine learning to provide more accurate and&nbsp; detailed predictions of aerosol pollution. Air quality forecast Air quality monitoring and modelling application integrates Earth observation data with advanced simulation tools. The system combines the WRF [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":225,"parent":202,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-240","page","type-page","status-publish","has-post-thumbnail","hentry"],"espresso_ai_page_context":{"short_desc":"","purpose":"general","set_by_espresso":false},"_links":{"self":[{"href":"https:\/\/clear-eo.eu\/index.php?rest_route=\/wp\/v2\/pages\/240","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/clear-eo.eu\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/clear-eo.eu\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/clear-eo.eu\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/clear-eo.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=240"}],"version-history":[{"count":10,"href":"https:\/\/clear-eo.eu\/index.php?rest_route=\/wp\/v2\/pages\/240\/revisions"}],"predecessor-version":[{"id":478,"href":"https:\/\/clear-eo.eu\/index.php?rest_route=\/wp\/v2\/pages\/240\/revisions\/478"}],"up":[{"embeddable":true,"href":"https:\/\/clear-eo.eu\/index.php?rest_route=\/wp\/v2\/pages\/202"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/clear-eo.eu\/index.php?rest_route=\/wp\/v2\/media\/225"}],"wp:attachment":[{"href":"https:\/\/clear-eo.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=240"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}