{"id":9523,"date":"2026-07-14T10:24:04","date_gmt":"2026-07-14T10:24:04","guid":{"rendered":"https:\/\/godshand.link\/ground_post\/strengthening-early-warning-systems-for-anticipatory-action-sewaa-project-mid-term-achievements\/"},"modified":"2026-07-14T10:24:04","modified_gmt":"2026-07-14T10:24:04","slug":"strengthening-early-warning-systems-for-anticipatory-action-sewaa-project-mid-term-achievements","status":"publish","type":"ground_post","link":"https:\/\/godshand.link\/en_gb\/ground_post\/strengthening-early-warning-systems-for-anticipatory-action-sewaa-project-mid-term-achievements\/","title":{"rendered":"Strengthening Early Warning Systems for Anticipatory Action &#8211; SEWAA project: mid-term achievements"},"content":{"rendered":"<p><br \/>\n<\/p>\n<article class=\"content-side-image wfp-wrapper ph3 ph0-lg clearfix mb4\">\n<figure class=\"content-side-image__image nvl-compensate-side-padding--until-md\">\n    <!-- Cover image --><br \/>\n    <img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.wfp.org\/sites\/default\/files\/styles\/large\/public\/publication_covers\/c4d04ad8557438076ff1fccf972e5253.jpg?itok=66c0rFxx\" width=\"339\" height=\"480\" alt=\"https:\/\/docs.wfp.org\/api\/documents\/WFP-0000168867\/download\/\"><br \/>\n  <\/figure>\n<div class=\"content-side-image__content\">\n    <!-- Rich-text content --><\/p>\n<div class=\"summary mb4\">\n     The SEWAA project, launched in 2023, uses machine learning, specifically Conditional Generative Adversarial Networks (cGANs), to improve early-warning systems for extreme weather in Eastern Africa.\n  <\/div>\n<div class=\"field field--body mb4\">\n<p>By enabling high-resolution, probabilistic rainfall forecasts on personal computers, SEWAA eliminates the need for costly supercomputers, making forecasting accessible and affordable. The project has reduced forecast generation time, lowered costs through cloud computing, and empowered local meteorological agencies with training and ownership of the system. With proven success, SEWAA plans to expand its reach, enhance forecast frequency, and integrate new features \u2013 offering a scalable, sustainable model for anticipatory action and disaster risk management globally.<\/p>\n<\/div>\n<aside class=\"document-download\">\n<h2 class=\"fs5 fs4-lg\">\n          Download &#8220;Machine Learning for Early Warning Systems: mid-term achievements&#8221;<br \/>\n      <\/h2>\n<p class=\"document-download__file-type file-type file-type--document\">PDF | 4.13 MB<\/p>\n<div class=\"document-download__buttons buttons\"><a target=\"_blank\" href=\"https:\/\/docs.wfp.org\/api\/documents\/WFP-0000168867\/download\/\" class=\"button-new button-new--primary\" aria-label=\"Open in English\">English<\/a><\/div>\n<\/aside>\n<aside class=\"document-download\">\n<h2 class=\"fs5 fs4-lg\">\n          Download &#8220;Machine Learning for Early Warning Systems&#8221;<br \/>\n      <\/h2>\n<p class=\"document-download__file-type file-type file-type--document\">PDF | 19.91 MB<\/p>\n<div class=\"document-download__buttons buttons\"><a target=\"_blank\" href=\"https:\/\/docs.wfp.org\/api\/documents\/WFP-0000154485\/download\/\" class=\"button-new button-new--primary\" aria-label=\"Open in English\">English<\/a><\/div>\n<\/aside>\n<div class=\"field field--field-publication-links\">\n<div><\/div>\n<\/div><\/div>\n<\/article>\n<p><br \/>\n<br \/><a href=\"https:\/\/www.wfp.org\/publications\/strengthening-early-warning-systems-anticipatory-action-sewaa-project-mid-term-0?rand=6474\" target=\"_blank\">Source link <\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>The SEWAA project, launched in 2023, uses machine learning, specifically Conditional Generative Adversarial Networks (cGANs), to improve early-warning systems for extreme weather in Eastern Africa. By enabling high-resolution, probabilistic rainfall forecasts on personal computers, SEWAA eliminates the need for costly supercomputers, making forecasting accessible and affordable. The project has reduced forecast generation time, lowered costs through cloud computing, and empowered&hellip;<\/p>","protected":false},"author":99064,"featured_media":9524,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","format":"standard","meta":{"give_campaign_id":0,"footnotes":""},"tags":[1714,593,592,706,2948,2087,2947,776,597,707],"ground_category":[315,318],"class_list":["post-9523","ground_post","type-ground_post","status-publish","format-standard","has-post-thumbnail","hentry","tag-achievements","tag-action","tag-anticipatory","tag-early","tag-midterm","tag-project","tag-sewaa","tag-strengthening","tag-systems","tag-warning","ground_category-2-grounds-tribulation","ground_category-2-3-time-hunger"],"fifu_image_url":"https:\/\/www.wfp.org\/sites\/default\/files\/styles\/open_graph_image\/public\/publication_covers\/c4d04ad8557438076ff1fccf972e5253.jpg?itok=G7mKilrG","_links":{"self":[{"href":"https:\/\/godshand.link\/en_gb\/wp-json\/wp\/v2\/ground_post\/9523","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/godshand.link\/en_gb\/wp-json\/wp\/v2\/ground_post"}],"about":[{"href":"https:\/\/godshand.link\/en_gb\/wp-json\/wp\/v2\/types\/ground_post"}],"author":[{"embeddable":true,"href":"https:\/\/godshand.link\/en_gb\/wp-json\/wp\/v2\/users\/99064"}],"replies":[{"embeddable":true,"href":"https:\/\/godshand.link\/en_gb\/wp-json\/wp\/v2\/comments?post=9523"}],"version-history":[{"count":0,"href":"https:\/\/godshand.link\/en_gb\/wp-json\/wp\/v2\/ground_post\/9523\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/godshand.link\/en_gb\/wp-json\/wp\/v2\/media\/9524"}],"wp:attachment":[{"href":"https:\/\/godshand.link\/en_gb\/wp-json\/wp\/v2\/media?parent=9523"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/godshand.link\/en_gb\/wp-json\/wp\/v2\/tags?post=9523"},{"taxonomy":"ground_category","embeddable":true,"href":"https:\/\/godshand.link\/en_gb\/wp-json\/wp\/v2\/ground_category?post=9523"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}