Studies from Beijing Normal University Add New Findings in the Area of Machine L earning (A Machine Learning Downscaling Framework Based On a Physically Constrai ned Sliding Window Technique for Improving Resolution of Global Water Storage An omaly)

Robotics & Machine Learning Daily News2024，Issue(Nov.1) ：34-35.

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Studies from Beijing Normal University Add New Findings in the Area of Machine L earning (A Machine Learning Downscaling Framework Based On a Physically Constrai ned Sliding Window Technique for Improving Resolution of Global Water Storage An omaly)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting from Beijing, People’s Repub lic of China, by NewsRx journalists, research stated, “Terrestrial water storage anomaly (TWSA) and groundwater storage anomaly (GWSA) data are of great importa nce for hydrological research and water resource management. However, products d erived from the Gravity Recovery and Climate Experiment (GRACE) mission and its Follow-On mission (GRACE-FO) are constrained by the satellite design and variati on in processing strategies among different institutions, resulting in multiple suboptimal products.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Beijing Normal University

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出版年

2024

Robotics & Machine Learning Daily News

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