Reports from Sun Yat-sen University Advance Knowledge in MachineLearning (Explo ring Topography Downscaling Methods for Hyper-resolution Land Surface Modeling)
Reports from Sun Yat-sen University Advance Knowledge in MachineLearning (Explo ring Topography Downscaling Methods for Hyper-resolution Land Surface Modeling)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news originatingfrom Guangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Hyperresolutionland surf ace modeling provides an unprecedented opportunity to simulate locally relevant waterand energy cycles. However, the available meteorological forcing data is o ften insufficient to fulfill therequirements of hyper-resolution modeling.”
Key words
Guangzhou/People’s Republic of China/A sia/Cyborgs/Emerging Technologies/Machine Learning/Sun Yat-sen University
NETL
NSTL