{"id":11232,"date":"2025-04-03T19:15:12","date_gmt":"2025-04-03T17:15:12","guid":{"rendered":"https:\/\/reuniwatt.com\/en\/?page_id=11232"},"modified":"2026-06-10T11:20:25","modified_gmt":"2026-06-10T09:20:25","slug":"webinar-contrails-in-the-climate-system-enhancing-nwp-through-cloud-observation-and-ai","status":"publish","type":"page","link":"https:\/\/reuniwatt.com\/en\/webinar-contrails-in-the-climate-system-enhancing-nwp-through-cloud-observation-and-ai\/","title":{"rendered":"[Webinar] CONTRAILS in the climate system"},"content":{"rendered":"<div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:1144px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-1\"><h2 id=\"Webinar Series Part 3\">Webinar Series:<\/h2>\n<h2><b>Contrails in the climate system \u2013 <\/b><strong>Advancing climate understanding through AI and observation<\/strong><\/h2>\n<div>\n<p>Together with partners including the German Weather Service (DWD), Thales cortAIx, and LATMOS, Reuniwatt has hosted two webinars exploring the outcomes of the CONTRAILS project. This series highlights how advanced observation systems and artificial intelligence are transforming the detection, analysis, and prediction of contrails and their impact on climate.<br \/>The first session focuses on enhancing numerical weather prediction (NWP) through improved cloud observation and AI-driven data assimilation. The second session broadens the perspective, presenting the overall scientific insights of the CONTRAILS project and its role within the wider European research landscape on aviation-induced cloudiness.<\/p>\n<p>Below, you can watch both webinars according to your area of interest.<\/p>\n<\/div>\n<\/div><div class=\"fusion-separator fusion-full-width-sep\" style=\"align-self: center;margin-left: auto;margin-right: auto;margin-top:20px;margin-bottom:20px;width:100%;\"><div class=\"fusion-separator-border sep-single sep-solid\" style=\"--awb-height:20px;--awb-amount:20px;border-color:#e0dede;border-top-width:1px;\"><\/div><\/div><div class=\"fusion-text fusion-text-2\"><h2 id=\"Webinar Series Part 3\">Part 1<\/h2>\n<h3><b>Contrails in the climate system \u2013 enhancing NWP through cloud observation and AI<\/b><\/h3>\n<p>This webinar presents contrails observation using all-sky imagers by Reuniwatt, as well as AI tools that have been developed to detect contrails in camera and satellite images, enabling the identification of contrail clusters. These clusters can be used to evaluate the representation of ice-supersaturated regions in the NWP model. Our speakers are happy to present the remarkable progress the CONTRAILS project has achieved in the identification, representation, and data assimilation of contrails and high cirrus clouds.<\/p>\n<h4>Topics discussed<\/h4>\n<div class=\"fusion-li-item-content\">\n<div class=\"fusion-li-item-content\">\n<div class=\"fusion-li-item-content\">\n<ul>\n<li><strong>Ground-based all-sky camera observations<\/strong> in combination with new satellite-based cloud observations<\/li>\n<li>Trustworthy<strong> AI methods and physical models <\/strong>to improve the monitoring and characterisation of contrails<\/li>\n<li>Get a <strong>better understanding of the entire physical process<\/strong> underlying the formation of contrails<\/li>\n<li>Learn about the results of CONTRAILS<strong> and augmenting NWP models <\/strong>accordingly<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"fusion-li-item-content\">\n<div class=\"fusion-li-item-content\">\n<p>Moderator: <span class=\"speaker-name\">Teodora Petrisor, <\/span><span class=\"speaker-org\"><span class=\"speaker-title\">Senior Research Engineer AI <\/span>@Thales<\/span><\/p>\n<\/div>\n<\/div>\n<p>Speakers: <span class=\"speaker-title\"><br \/>\n<\/span><span class=\"speaker-title\">Prof. Roland Potthast, <span class=\"speaker-org\">Head of NWP (Numerical Weather Prediction) @DWD<\/span><br \/>\n<\/span><span class=\"speaker-title\">Stefanie Hollborn, Head of Observation Modelling and Verification NWP @<span class=\"speaker-org\">DWD<\/span><\/span><span class=\"speaker-title\"><br \/>\nSarah Vadillo-Quesada, Business Developer @<span class=\"speaker-org\">Reuniwatt<\/span><br \/>\n<\/span><\/p>\n<\/div><div class=\"fusion-separator fusion-full-width-sep\" style=\"align-self: center;margin-left: auto;margin-right: auto;margin-top:10px;margin-bottom:10px;width:100%;\"><\/div><div style=\"text-align:center;\"><a class=\"fusion-button button-flat fusion-button-default-size button-default fusion-button-default button-1 fusion-button-default-span fusion-button-default-type\" target=\"_self\" href=\"https:\/\/reuniwatt.com\/en\/wp-content\/uploads\/sites\/3\/2025\/04\/20250402_webinar21_FAQ_final.pdf\"><span class=\"fusion-button-text awb-button__text awb-button__text--default\">Download the Q&amp;A<\/span><\/a><\/div><div class=\"fusion-separator fusion-full-width-sep\" style=\"align-self: center;margin-left: auto;margin-right: auto;margin-top:10px;margin-bottom:10px;width:100%;\"><\/div><div class=\"fusion-video fusion-youtube\" style=\"--awb-max-width:1000px;--awb-max-height:563px;--awb-align-self:center;--awb-width:100%;\" data-autoplay=\"1\"><div class=\"video-shortcode\"><div class=\"fluid-width-video-wrapper\" style=\"padding-top:56.3%;\" ><iframe title=\"YouTube video player 1\" src=\"https:\/\/www.youtube.com\/embed\/1BMk96yis1g?wmode=transparent&autoplay=0\" width=\"1000\" height=\"563\" allowfullscreen allow=\"autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture;\"><\/iframe><\/div><\/div><\/div><div class=\"fusion-separator fusion-full-width-sep\" style=\"align-self: center;margin-left: auto;margin-right: auto;margin-top:20px;margin-bottom:20px;width:100%;\"><div class=\"fusion-separator-border sep-single sep-solid\" style=\"--awb-height:20px;--awb-amount:20px;border-color:#e0dede;border-top-width:1px;\"><\/div><\/div><div class=\"fusion-text fusion-text-3\"><h2 id=\"Webinar Series Part 3\">Part 2<\/h2>\n<h3><strong>CONTRAILS, climate, and AI-driven observation: From scientific insights to future applications<\/strong><\/h3>\n<p>This webinar concludes the CONTRAILS project by presenting its key scientific outcomes and positioning them within the broader European research landscape on aviation-induced cloudiness. Bringing together experts from Reuniwatt, Thales, and LATMOS, the session explores how advanced observation systems and AI-driven analysis methods contribute to a deeper understanding of contrail formation, persistence, and climate impact.<\/p>\n<div>\n<p>You will discover how multiple observation technologies\u2014including all-sky imagers, lidar measurements, and satellite data\u2014are combined to capture contrail dynamics and radiative effects. The webinar also highlights recent advances in AI, such as geometric deep learning and physics-informed approaches, enabling more robust detection, clustering, and prediction of contrail behaviour. These developments support the integration of observations with physical models and open new perspectives for climate assessment and aviation applications.<\/p>\n<\/div>\n<h4>Topics discussed<\/h4>\n<div class=\"fusion-li-item-content\">\n<div class=\"fusion-li-item-content\">\n<div class=\"fusion-li-item-content\">\n<ul>\n<li><strong>Current challenges<\/strong> in understanding contrails in the climate system<\/li>\n<li><strong>Ground-based all-sky camera observations<\/strong> in combination with new satellite-based cloud observations<\/li>\n<li><strong>Advances in observation and analysis techniques<\/strong> for contrails using AI methods<\/li>\n<li><strong>Key scientific outcomes of the CONTRAILS project<\/strong><\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"fusion-li-item-content\">\n<div class=\"fusion-li-item-content\">\n<p>Moderator: <span class=\"speaker-name\">Teodora Petrisor, <\/span><span class=\"speaker-org\"><span class=\"speaker-title\">Senior Research Engineer AI <\/span>@Thales<\/span><\/p>\n<\/div>\n<\/div>\n<p>Speakers: <span class=\"speaker-title\"><br \/>\n<\/span><span class=\"speaker-title\"><span class=\"speaker-org\">Olivier Liandrat, Sky Imaging Team Lead @Reuniwatt<\/span><br \/>\n<\/span><span class=\"speaker-title\"><span class=\"speaker-name\">Sol\u00e8ne Blasco-Lopez<\/span>, <span class=\"speaker-org\">Research Engineer AI &amp; Computer Vision @Thales<\/span><br \/>\n<span class=\"speaker-name\">Davide Di Giusto<\/span>, Research Engineer Software @Thales<br \/>\n<span class=\"speaker-name\">Prof. Philippe Keckhut<\/span>, <span class=\"speaker-org\">Lecturer at UVSQ \/ Director of the \u00cele-de-France Space Academy project @LATMOS<\/span><\/span><\/p>\n<\/div><div class=\"fusion-separator fusion-full-width-sep\" style=\"align-self: center;margin-left: auto;margin-right: auto;margin-top:10px;margin-bottom:10px;width:100%;\"><\/div><div style=\"text-align:center;\"><a class=\"fusion-button button-flat fusion-button-default-size button-default fusion-button-default button-2 fusion-button-default-span fusion-button-default-type\" target=\"_self\" href=\"https:\/\/reuniwatt.com\/en\/wp-content\/uploads\/sites\/3\/2025\/04\/20250402_webinar21_FAQ_final.pdf\"><span class=\"fusion-button-text awb-button__text awb-button__text--default\">Download the Q&amp;A<\/span><\/a><\/div><div class=\"fusion-separator fusion-full-width-sep\" style=\"align-self: center;margin-left: auto;margin-right: auto;margin-top:10px;margin-bottom:10px;width:100%;\"><\/div><div class=\"fusion-video fusion-youtube\" style=\"--awb-max-width:1000px;--awb-max-height:563px;--awb-align-self:center;--awb-width:100%;\" data-autoplay=\"1\"><div class=\"video-shortcode\"><div class=\"fluid-width-video-wrapper\" style=\"padding-top:56.3%;\" ><iframe title=\"YouTube video player 2\" src=\"https:\/\/www.youtube.com\/embed\/VJoHTQ8-V5A?wmode=transparent&autoplay=0\" width=\"1000\" height=\"563\" allowfullscreen allow=\"autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture;\"><\/iframe><\/div><\/div><\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"content-type":"","footnotes":""},"class_list":["post-11232","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/reuniwatt.com\/en\/wp-json\/wp\/v2\/pages\/11232","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/reuniwatt.com\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/reuniwatt.com\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/reuniwatt.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/reuniwatt.com\/en\/wp-json\/wp\/v2\/comments?post=11232"}],"version-history":[{"count":10,"href":"https:\/\/reuniwatt.com\/en\/wp-json\/wp\/v2\/pages\/11232\/revisions"}],"predecessor-version":[{"id":12294,"href":"https:\/\/reuniwatt.com\/en\/wp-json\/wp\/v2\/pages\/11232\/revisions\/12294"}],"wp:attachment":[{"href":"https:\/\/reuniwatt.com\/en\/wp-json\/wp\/v2\/media?parent=11232"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}