is using Earth-2 CorrDiff<\/a> in operation \u2014 and plans to use Earth-2 Nowcasting \u2014 to generate high-resolution forecasts up to eight times daily, enabling decision-makers to respond more effectively to extreme weather while reducing computational costs.<\/p>\n\u201cNVIDIA Earth-2 models give us a 90% reduction in compute time at 2.5-kilometer resolution compared with running a classic numerical weather prediction model without AI on a CPU cluster,\u201d said Amir Givati, director of the Israel Meteorological Service. \u201cAfter a recent rainstorm, our AI model trained with CorrDiff was the best of all our operational models for a six-hour verification of accumulated precipitation.\u201d<\/p>\n
The Weather Company is evaluating Earth-2 Nowcasting for localized severe-weather applications, and NWS is evaluating the new models to enhance its operational workflows.\u00a0<\/p>\n
Energy Forecasting and Grid Operations<\/p>\n
TotalEnergies is evaluating Earth-2 Nowcasting to improve short-term risk awareness and decision-making.<\/p>\n
\u201cNVIDIA Earth-2 represents a major step forward in how advanced weather intelligence can be operationalized at scale,\u201d said Emmanuel Le Borgne, climate and weather forecast product manager at TotalEnergies. \u201cModels like Earth-2 Nowcasting are groundbreaking for our business because they improve short-term risk awareness and decision-making in energy systems where minutes and local impacts matter.\u201d<\/p>\n
Eni is intensively testing Earth-2 models, including FourCastNet and CorrDiff, for semi-operational downscaling of predictions to produce probabilistic, high-resolution forecasts of weather and gas demand weeks ahead.<\/p>\n
GCL, one of China\u2019s largest solar material producers and a global integrated energy operator, is running NVIDIA Earth-2 models in operation for its photovoltaic prediction system. Compared with traditional numerical weather prediction, Earth-2 provides more accurate prediction data at a lower cost, significantly improving the accuracy of GCL\u2019s photovoltaic power generation prediction.<\/p>\n
Southwest Power Pool, in collaboration with Hitachi, is using Earth-2 Nowcasting and FourCastNet3 to improve intraday and day-ahead wind forecasting. This effort supports Southwest Power Pool\u2019s commitment to enhancing grid reliability and enabling more informed operational decisions across the SPP footprint.<\/p>\n
Financial Impact Assessment<\/p>\n
S&P Global Energy is harnessing NVIDIA Earth-2 CorrDiff to turn climate data into local insights for risk assessment. Global insurance group AXA is using FourCastNet<\/a> to generate thousands of hypothetical hurricane scenarios as part of its R&D program in model evaluation, methodological development and benchmarking on existing techniques.\u00a0\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"Accurate weather forecasting helps save lives and protect environments \u2014 and is a cornerstone of decision-making in agriculture,…\n","protected":false},"author":2,"featured_media":252638,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[365,363,364,4442,1667,111,139,146477,69,15748,147,135132,146478,35573,145654,145],"class_list":{"0":"post-252637","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-ai","9":"tag-artificial-intelligence","10":"tag-artificialintelligence","11":"tag-climate","12":"tag-energy","13":"tag-new-zealand","14":"tag-newzealand","15":"tag-nvidia-research","16":"tag-nz","17":"tag-open-source","18":"tag-science","19":"tag-scientific-visualization","20":"tag-simulation-and-design","21":"tag-social-impact","22":"tag-sovereign-ai","23":"tag-technology"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts\/252637","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/comments?post=252637"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts\/252637\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/media\/252638"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/media?parent=252637"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/categories?post=252637"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/tags?post=252637"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}