首页|Studies from Wuhan University in the Area of Machine Learning Reported (Gtws-mlr ec: Global Terrestrial Water Storage Reconstruction By Machine Learning From 194 0 To Present)
Studies from Wuhan University in the Area of Machine Learning Reported (Gtws-mlr ec: Global Terrestrial Water Storage Reconstruction By Machine Learning From 194 0 To Present)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Hubei, People’ s Republic of China, by NewsRx journalists, research stated, “Terrestrial water storage (TWS) includes all forms of water stored on and below the land surface, and is a key determinant of global water and energy budgets. However, TWS data f rom measurements by the Gravity Recovery and Climate Experiment (GRACE) satellit e mission are only available from 2002, limiting global and regional understandi ng of the long-term trends and variabilities in the terrestrial water cycle unde r climate change.”
HubeiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningWuhan University