首页|Investigators from China University of Geosciences Report New Data on Machine Le arning (A Merged Continental Planetary Boundary Layer Height Dataset Based On Hi gh-resolution Radiosonde Measurements, Era5 Reanalysis, and Gldas)
Investigators from China University of Geosciences Report New Data on Machine Le arning (A Merged Continental Planetary Boundary Layer Height Dataset Based On Hi gh-resolution Radiosonde Measurements, Era5 Reanalysis, and Gldas)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news reporting from Wuhan, People's Republic of Chi na, by NewsRx journalists, research stated, "The planetary boundary layer (PBL) is the lowermost part of the troposphere that governs the exchange of momentum, mass and heat between surface and atmosphere. To date, the radiosonde measuremen ts have been extensively used to estimate PBL height (PBLH); suffering from low spatial coverage and temporal resolution, the radiosonde data are incapable of p roviding a diurnal description of PBLH across the globe." Funders for this research include National Natural Science Foundation of China ( NSFC), National Oceanic Atmospheric Admin (NOAA) - USA, University of Wyoming.
WuhanPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningChina University of Geoscienc es
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