{"id":4581,"date":"2023-05-08T18:42:34","date_gmt":"2023-05-08T18:42:34","guid":{"rendered":"https:\/\/ieeecscai.wpengine.com\/2023\/?page_id=4581"},"modified":"2023-05-18T05:29:52","modified_gmt":"2023-05-18T05:29:52","slug":"jaideep-pathak","status":"publish","type":"page","link":"https:\/\/cai.ieee.org\/2023\/jaideep-pathak\/","title":{"rendered":"Jaideep Pathak"},"content":{"rendered":"\t\t
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Jaideep Pathak
\nResearch Scientist, NVIDIA Corporation

\nAI in Earth Systems<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\"\"June 5, 11:15am
Location: Santa Clara II<\/h5>

Augmenting Modeling Capabilities for Weather Forecasting and Climate Science using AI<\/span><\/h4>

As part of NVIDIA\u2019s Earth-2 initiative to help address the challenges of simulating current and future climates accurately and with low latency, we present some of our latest results on AI-based modeling of atmospheric dynamics. NVIDIA\u2019s FourCastNet, short for Fourier Forecasting Neural Network, is a global, data-driven machine learning model based on a neural operator architecture which provides accurate short-to-medium-range global weather forecasts at high-resolution. FourCastNet offers speedups of up to four orders of magnitude over numerical models and has comparable accuracy with the world\u2019s premier operational Numerical Weather Prediction (NWP) models. AI models offer the opportunity to improve our understanding of extreme weather events by augmenting traditional models with unprecedented capabilities for large-ensemble simulation. We present NVIDIA\u2019s continuing efforts for enabling earth-science research at an unprecedented computational scale.<\/span><\/p>

Jaideep Pathak<\/strong> is a research scientist at NVIDIA corporation working on the applications of large-scale AI modeling for earth science research. He obtained his PhD in Physics from the University of Maryland, College Park and held a postdoctoral research fellowship at the Lawrence Berkeley National Laboratory with the National Energy Research Scientific Computing Center prior to joining NVIDIA.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Jaideep Pathak Research Scientist, NVIDIA Corporation AI in Earth Systems June 5, 11:15amLocation: Santa Clara II Augmenting Modeling Capabilities for Weather Forecasting and Climate Science using AI As part of NVIDIA\u2019s Earth-2 initiative to help address the challenges of simulating current and future climates accurately and with low latency, we present some of our latest […]<\/p>\n","protected":false},"author":5,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":"","_members_access_role":[],"_members_access_error":""},"class_list":["post-4581","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/pages\/4581","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/comments?post=4581"}],"version-history":[{"count":0,"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/pages\/4581\/revisions"}],"wp:attachment":[{"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/media?parent=4581"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}