{"id":53975,"date":"2026-07-24T14:31:10","date_gmt":"2026-07-24T13:31:10","guid":{"rendered":"https:\/\/www.intelligentcio.com\/north-america\/?p=53975"},"modified":"2026-07-24T14:31:11","modified_gmt":"2026-07-24T13:31:11","slug":"doe-genesis-mission-selects-planette-ai-to-lead-effort-on-forecasting-severe-thunderstorm-clusters-beyond-seven-days","status":"publish","type":"post","link":"https:\/\/www.intelligentcio.com\/north-america\/2026\/07\/24\/doe-genesis-mission-selects-planette-ai-to-lead-effort-on-forecasting-severe-thunderstorm-clusters-beyond-seven-days\/","title":{"rendered":"DOE Genesis Mission selects Planette AI to lead effort on forecasting severe thunderstorm clusters beyond seven days"},"content":{"rendered":"\n

Planette AI, Pacific Northwest National Laboratory and the University of Wyoming have launched the Genesis Mission DL4MCS project to improve weeks-ahead forecasting of dangerous US storm systems using artificial intelligence and physics-based forecasting.<\/em><\/p>\n\n\n\n

Large thunderstorm clusters cause billions in damage and supply much of the nation’s warm-season rain, yet forecasters still struggle to see them coming more than a week out.<\/p>\n\n\n\n

Planette AI has launched of DL4MCS, a Genesis Mission Phase I project supported by the US Department of Energy (DOE) to improve subseasonal – roughly 7 days to six weeks ahead – forecasting of these storms, known as mesoscale convective systems (MCS), across the continental United States. Planette AI will collaborate with the DOE’s Pacific Northwest National Laboratory (PNNL) and the University of Wyoming on the project.<\/p>\n\n\n\n

The Genesis Mission is a historic national initiative led by DOE that is building an integrated science discovery platform by bringing together government, industry, academia and philanthropy to accelerate breakthroughs in energy, scientific discovery and national security through AI, supercomputing, quantum systems and advanced scientific instruments.<\/p>\n\n\n\n

The goal of the Genesis Mission Phase I awards is to identify promising pathways toward transformative scientific capabilities by designing and demonstrating research workflows that integrate AI with scientific investigation and testing whether those approaches can improve predictive capabilities, accelerate discovery, enhance experimentation or generate new scientific insights.<\/p>\n\n\n\n

DL4MCS – short for Deep Learning Methods to Enhance Subseasonal Predictions of Mesoscale Convective Systems by Physics-based Forecasting Systems – addresses that challenge by combining physics-based forecasting with advanced artificial intelligence methods.<\/p>\n\n\n\n

The project team will test whether this hybrid approach can substantially improve forecast skill for these storms at lead times of 7 days to 6 weeks, a forecasting window that remains especially difficult for today’s operational systems.<\/p>\n\n\n\n

“DL4MCS reflects Planette AI’s commitment to delivering more actionable environmental intelligence for high-stakes decisions,” said Dr. Hansi Singh, Founder & CEO, Planette AI. “By combining state-of-the-art AI with proven physical forecasting systems, this project aims to make weeks-ahead storm risk information more useful for the sectors and communities that depend on better foresight.”<\/p>\n\n\n\n

“Improving prediction of mesoscale convective systems requires advances across scales, from large-scale climate drivers to the cloud microphysics that shape storm behavior,” said Dr. Susannah Burrows, Atmospheric Scientist, Pacific Northwest National Laboratory. “This collaboration brings together complementary strengths in Earth system modeling, AI and process-level model evaluation to explore a new path toward better subseasonal forecasts.”<\/p>\n\n\n\n

“The University of Wyoming is excited to contribute its expertise in regional downscaling, as well as its responsible integration with AI forecasting, to this effort,” said Dr. Stefan Rahimi, University of Wyoming Derecho Professor. “The ability to translate coarse large-scale forecasts into higher-resolution, decision-relevant guidance is essential for improving real-world preparedness and resilience.”<\/p>\n","protected":false},"excerpt":{"rendered":"

Planette AI, Pacific Northwest National Laboratory and the University of Wyoming have launched the Genesis Mission DL4MCS project to improve weeks-ahead forecasting of dangerous US storm systems using artificial intelligence and physics-based forecasting. Large thunderstorm clusters cause billions in damage and supply much of the nation’s warm-season rain, yet forecasters still struggle to see them […]<\/p>\n","protected":false},"author":58,"featured_media":53976,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[8994,37,43],"tags":[226,153,12559,12551,12560,4199,12556,12552,12550,12554,6365,12553,12558,12555,2646,12557],"class_list":["post-53975","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-research","category-top-stories","tag-ai","tag-artificial-intelligence","tag-climate-science","tag-doe-genesis-mission","tag-environmental-intelligence","tag-mcs","tag-mesoscale-convective-systems","tag-pacific-northwest-national-laboratory","tag-planette-ai","tag-pnnl","tag-predictive-analytics","tag-severe-thunderstorms","tag-subseasonal-forecasting","tag-university-of-wyoming","tag-us-department-of-energy","tag-weather-forecasting"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.intelligentcio.com\/north-america\/wp-json\/wp\/v2\/posts\/53975","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.intelligentcio.com\/north-america\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.intelligentcio.com\/north-america\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/north-america\/wp-json\/wp\/v2\/users\/58"}],"replies":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/north-america\/wp-json\/wp\/v2\/comments?post=53975"}],"version-history":[{"count":1,"href":"https:\/\/www.intelligentcio.com\/north-america\/wp-json\/wp\/v2\/posts\/53975\/revisions"}],"predecessor-version":[{"id":53977,"href":"https:\/\/www.intelligentcio.com\/north-america\/wp-json\/wp\/v2\/posts\/53975\/revisions\/53977"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/north-america\/wp-json\/wp\/v2\/media\/53976"}],"wp:attachment":[{"href":"https:\/\/www.intelligentcio.com\/north-america\/wp-json\/wp\/v2\/media?parent=53975"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.intelligentcio.com\/north-america\/wp-json\/wp\/v2\/categories?post=53975"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.intelligentcio.com\/north-america\/wp-json\/wp\/v2\/tags?post=53975"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}