SAN FRANCISCO \u2013 Weather intelligence startup Tomorrow.io unveiled DeepSky, a satellite constellation designed to refine atmospheric forecasts by gathering the vast quantities of data needed to feed artificial intelligence models.<\/p>\n
DeepSky, a proliferated low-Earth orbit constellation, will be \u201ca quantum leap in all dimensions,\u201d Rei Goffer, Tomorrow.io co-founder and chief strategy officer, told SpaceNews.<\/p>\n
Individual satellites in the DeepSky constellation, announced Jan. 20, will be significantly larger than the six-unit cubesats that populate Tomorrow.io\u2019s initial constellation, Gen1. And DeepSky satellite will be equipped with \u201cinstruments of a completely different caliber,\u201d Goffer said. \u201cWe are not yet sharing what these sensors are, but we are saying that our satellites will carry multiple very-high-impact, co-located sensors.\u201d<\/p>\n
News of DeepSky follows the Jan. 12 announcement<\/a> that Tomorrow.io\u2019s Gen1 constellation achieved a global 60-minute revisit rate for atmospheric observations with the Jan. 11 launch and speedy commissioning of its 10th and 11th microwave sounder satellites. Tomorrow.io\u2019s Gen1 constellation attracted hundreds of government and enterprise customers including Ford, Uber, BNSF Railway, JetBlue and the U.S. Air Force<\/a>.<\/p>\n \u201cWhen we interact with users, from a railway operator to a civil aviation authority, a ministry of agriculture or a disaster management authority, we understand their different problems and the gaps that need to be filled,\u201d Goffer said.<\/p>\n \u201cOperational resilience now depends on treating atmospheric data with the same rigor as any other mission-critical infrastructure,\u201d said Nikhil Ahuja, Amazon senior director, planning and supply chain. \u201cThe advancement in sensing and rapid refresh frequency DeepSky enables creates a new Data-Hungry Models<\/p>\n AI promises dramatic improvements in weather forecasting accuracy. But the models require extensive data.<\/p>\n DeepSky is designed to provide the extensive, high-resolution data Tomorrow.io needs to feed a new generation of proprietary weather models. In the past, weather models were often limited by available compute power and physical understanding of the atmosphere. Now, data is the bottleneck.<\/p>\n \u201cAI systems depend on dense, high-frequency, and diverse observations \u2014coverage that today\u2019s satellite infrastructure cannot consistently provide,\u201d according to the news release.<\/p>\n \u201cModern supply chains can no longer rely on static planning or historical averages,\u201d said Matt Garland, BNSF chief technology officer, said in a statement. \u201cTrue resilience comes from continuously sensing operating conditions and translating that intelligence into network-wide decisions. DeepSky represents a meaningful step toward defining a new category of what is possible as agentic AI becomes a critical part of planning DeepSky will complement existing satellite systems, including the geostationary and low-Earth-orbit constellations that feed public weather models, by offering \u201cimproved prediction of rapidly evolving and extreme weather events,\u201d the news release said.<\/p>\n Without providing details, Tomorrow.io announced that DeepSky satellites will feature \u201cnew types of sensors, including capabilities that historically have been limited to one-off science missions due to cost and revisit constraints.\u201d<\/p>\n DeepSky \u201cis intended to address and significantly exceed the baseline observational requirements of major government and international customers, while remaining adaptable to evolving mission priorities and emerging applications,\u201d the news release added.<\/p>\n \n\tRelated<\/p>\n","protected":false},"excerpt":{"rendered":"SAN FRANCISCO \u2013 Weather intelligence startup Tomorrow.io unveiled DeepSky, a satellite constellation designed to refine atmospheric forecasts by…\n","protected":false},"author":2,"featured_media":259393,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[23],"tags":[218,61,60,82,247,70798,36100],"class_list":["post-259392","post","type-post","status-publish","format-standard","has-post-thumbnail","category-space","tag-artificial-intelligence","tag-ie","tag-ireland","tag-science","tag-space","tag-tomorrow-io","tag-weather-satellite"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/posts\/259392","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/comments?post=259392"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/posts\/259392\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/media\/259393"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/media?parent=259392"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/categories?post=259392"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/tags?post=259392"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
class of AI-driven decision systems that are more adaptive and localized. This evolution will define the future of the world\u2019s largest-scale operations.\u201d<\/p>\n
and creating a unified operational picture.\u201d<\/p>\n