ENKF

作品数：102被引量：477H指数：11
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Assimilation of GOES-R Geostationary Lightning Mapper Flash Extent Density Data in GSI 3DVar, EnKF, and Hybrid En3DVar for the Analysis and Short-Term Forecast of a Supercell Storm Case被引量：1
《Advances in Atmospheric Sciences》2024年第2期263-277,共15页Rong KONG Ming XUE Edward R.MANSELL Chengsi LIU Alexandre O.FIERRO 
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...
关键词：GOES-R LIGHTNING data assimilation ENKF EnVar 
Assimilation of All-sky Geostationary Satellite Infrared Radiances for Convection-Permitting Initialization and Prediction of Hurricane Joaquin(2015)被引量：3
《Advances in Atmospheric Sciences》2022年第11期1859-1872,共14页Lei ZHU Zhiyong MENG Yonghui WENG Fuqing ZHANG 
supported by the Natural Science Foundation of China (Grant No. 41905096);supported by the Natural Science Foundation of China (Grant Nos. 42030604, 41875051, and 41425018)。
Intensity forecasting is one of the most challenging aspects of tropical cyclone(TC) forecasting. This work examines the impact of assimilating high-resolution all-sky infrared radiance observations from geostationary...
关键词：all-sky infrared radiance TC intensity ENKF inner-core structure 
The Impact of Satellite Radiance Data Assimilation within a Frequently Updated Regional Forecast System Using a GSI-based Ensemble Kalman Filter被引量：1
《Advances in Atmospheric Sciences》2019年第12期1308-1326,共19页Kefeng ZHU Ming XUE Yujie PAN Ming HU Stanley G. BENJAMIN Stephen S. WEYGANDT Haidao LIN 
supported by the National Key Research and Development Program of China (Grant No. 2018YFC1507604);the Special Foundation of the China Meteorological Administration (Grant No. GYHY201506006);supported by the National Science Foundation of China (Grant No. 41405100)
A regional ensemble Kalman filter (EnKF) data assimilation (DA) and forecast system was recently established based on the Gridpoint Statistical Interpolation (GSI) analysis system. The EnKF DA system was tested with c...
关键词：SATELLITE RADIANCE ASSIMILATION ENKF BIAS correction 
A Prototype Regional GSI-based EnKF-Variational Hybrid Data Assimilation System for the Rapid Refresh Forecasting System：Dual-Resolution Implementation and Testing Results被引量：8
《Advances in Atmospheric Sciences》2018年第5期518-530,共13页Yujie PAN Ming XUE Kefeng ZHU Mingjun WANG 
supported by the National Natural Science Foundation of China (Grant Nos.41730965,41775099 and 2017YFC1502104);PAPD (the Priority Academic Program Development of Jiangsu Higher Education Institutions)
A dual-resolution（DR） version of a regional ensemble Kalman filter（EnKF）-3D ensemble variational（3DEnVar） coupled hybrid data assimilation system is implemented as a prototype for the operational Rapid Refresh f...
关键词：dual-resolution 3D ensemble variational data assimilation system Rapid Refresh forecasting system 
Application of ATOVS Radiance-Bias Correction to Typhoon Track Prediction with Ensemble Kalman Filter Data Assimilation被引量：3
《Advances in Atmospheric Sciences》2011年第1期178-186,共9页崔丽梅 孙建华 乔琳琳 雷霆 
supported by the Knowledge Innovation Program of the Chinese Academy of Sciences (Grant Nos KZCX2-YW-202 and KZCX2-YW-Q03-3);the Chinese Special Scientific Research Project for Public Interest (Grant No GYHY200906004)
In this paper, firstly, the bias between observed radiances from the Advanced TIROS-N Operational Vertical Sounder （ATOVS） and those simulated from a model first-guess are corrected. After bias correction, the obser...
关键词：ATOVS radiance scan bias correction air mass bias correction Ensemble Kalman Filter（EnKF） Typhoon Prapiroon 
A Multimodel Ensemble-based Kalman Filter for the Retrieval of Soil Moisture Profiles被引量：5
《Advances in Atmospheric Sciences》2011年第1期195-206,共12页张述文 李得勤 邱崇践 
supported by the National Natural Science Foundation of China (Grant Nos 40775065 and 41075074);the National Special Fund for Meteorology (Grant No GYHY200806029)
With the combination of three land surface models （LSMs） and the ensemble Kalman filter （EnKF）, a multimodel EnKF is proposed in which the multimodel background superensemble error covariance matrix is estimated b...
关键词：multimodel ENKF soil moisture land data assimilation land surface model 
Estimating the Soil Moisture Profile by Assimilating Near-Surface Observations with the Ensemble Kalman Filter (EnKF)被引量：20
《Advances in Atmospheric Sciences》2005年第6期936-945,共10页张述文 李吴睿 张卫东 邱崇践 李新 
the National Natural Science Foundation of China(Grant Nos.40475012,90202014, 2001CB309404).
The paper investigates the ability to retrieve the true soil moisture profile by assimilating near-surface soil moisture into a soil moisture model with an ensemble Kalman filter （EnKF） assimilation scheme, includin...
关键词：soil moisture ensemble Kalman filter INSERTION land data assimilation 
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