supported by NOAA JTTI award via Grant #NA21OAR4590165, NOAA GOESR Program funding via Grant #NA16OAR4320115;provided by NOAA/Office of Oceanic and Atmospheric Research under NOAA-University of Oklahoma Cooperative Agreement #NA11OAR4320072, U.S. Department of Commerce;supported by the National Oceanic and Atmospheric Administration (NOAA) of the U.S. Department of Commerce via Grant #NA18NWS4680063。
Capabilities to assimilate Geostationary Operational Environmental Satellite “R-series ”(GOES-R) Geostationary Lightning Mapper(GLM) flash extent density(FED) data within the operational Gridpoint Statistical Interp...
基于华东地区3 km分辨率WRF(Weather Research and Forecasting)模式和高密度地面自动气象站(AWS)观测,研究GSI-3DVAR同化系统的R_(HZSCL)对AWS观测的地面温度和风观测同化的敏感性。结果表明:运用GSI-3DVAR同化地面AWS观测时,R_(HZSCL...
Supported by the National Key Research and Development Program of China(2018YFF0300103)。
Assimilation of surface observations including 2-m temperature(T_(2m))in numerical weather prediction(NWP)models remains a challenging problem owing to differences between the elevation of model terrain and that of ac...
Supported by the National Natural Science Foundation of China(No.41876014);the Open Project of Tianjin Key Laboratory of Oceanic Meteorology(No.2020TKLOMYB04)。
It is essential to ac quire sound speed profiles(SSPs)in high-precision spatiotemporal resolution for undersea acoustic activities.However,conventional observation methods cannot obtain high-resolution SSPs.Besides,S ...
supported by the National Natural Science Foundation of China (Grant Nos. 41975167 & 41775123)。
With an increasing number of air quality monitoring stations installed around the Chinese mainland,high-resolution aerosol observations become available,allowing improvements in air pollution monitoring and aerosol fo...
supported by the Chinese National Natural Science Foundation of China (G41805016, G41805070);the Chinese National Key R&D Program of China (2018YFC1506404, 2018YFC1506603);the research project of Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province in China (SZKT201901, SZKT20 1904);the research project of the Institute of Atmospheric Environment, China Meteorological Administration, Shenyang in China (2020SYIAE02, 2020SYIAE07)。
Although radar observations capture storm structures with high spatiotemporal resolutions, they are limited within the storm region after the precipitation formed. Geostationary satellites data cover the gaps in the r...