首页|Investigators from Fudan University Zero in on Machine Learning (Bias Correction of the Hourly Satellite Precipitation Product Using Machine Learning Methods En hanced With High-resolution Wrf Meteorological Simulations)
Investigators from Fudan University Zero in on Machine Learning (Bias Correction of the Hourly Satellite Precipitation Product Using Machine Learning Methods En hanced With High-resolution Wrf Meteorological Simulations)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available.According to news originating from Shanghai, People’s Republic of Ch ina, by NewsRx correspondents, research stated, “Accurate precipitation data are crucial in atmospheric and hydrological studies, especially for water resource management and disaster early warning.Satellite precipitation product (SPP) wit h high spatiotemporal resolution has been regarded as a valuable alternative pre cipitation source to ground observations.”
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningFudan University
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