首页|New Findings from Shanghai Ocean University in the Area of Machine Learning Repo rted (Cyclonic Wind Speed Retrieval From Swim Wave Spectrum Based On Machine Lea rning)
New Findings from Shanghai Ocean University in the Area of Machine Learning Repo rted (Cyclonic Wind Speed Retrieval From Swim Wave Spectrum Based On Machine Lea rning)
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 DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingoriginating in Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “In our study,machin e learning is applied for wind speed retrieval in tropical cyclones (TCs) utiliz ing the wave spectrummeasured by surface wave investigation and monitoring (SWI M) onboard Chinese-French OceanographySATellite (CFOSAT). These measured waves with a spatial resolution of 18 km are collocated with wind products of 0.25 deg rees spatial resolution derived from a Soil Moisture Active Passive (SMAP) microwave radiometer in the western Pacific Ocean from 2019 to 2021.”
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningShanghai Ocean University
NETL
NSTL
