ENKF

作品数：102被引量：477H指数：11
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Assessing the Performance of Separate Bias Kalman Filter in Correcting the Model Bias for Estimation of Soil Moisture Profiles被引量：1
《Journal of Meteorological Research》2019年第3期519-527,共9页Bangjun CAO Fuping MAO Shuwen ZHANG Shaoying LI Tian WANG 
Supported by the National Natural Science Foundation of China(41575098);National Key Research and Development Program of China(2018YFC1505702)
The performance of separate bias Kalman filter (SepKF) in correcting the model bias for the improvement of soil moisture profiles is evaluated by assimilating the near-surface soil moisture observations into a land su...
关键词：soil moisture BIAS correction ENSEMBLE KALMAN filter (EnKF) Noah-MP 
Evaluating Soil Moisture Predictions Based on Ensemble Kalman Filter and SiB2 Model
《Journal of Meteorological Research》2019年第2期190-205,共16页Xiaolei FU Zhongbo YU Ying TANG Yongjian DING Haishen LYU Baoqing ZHANG Xiaolei JIANG Qin JU 
Supported by the National Natural Science Foundation of China(51709046,41323001,and 41130638);National(Key)Basic Research and Development(973)Program of China(2016YFC0402706);National Science Funds for Creative Research Groups of China(51421006);Program of Dual Innovative Talents Plan and Innovative Research Team in Jiangsu Province;Open Foundation of State Key Laboratory of Hydrology–Water Resources and Hydraulic Engineering,Hohai University(2015490311)
Soil moisture is an important variable in the fields of hydrology, meteorology, and agriculture, and has been used for numerous applications and forecasts. Accurate soil moisture predictions on both a large scale and ...
关键词：soil moisture ENSEMBLE KALMAN Filter (EnKF) Simple BIOSPHERE MODEL (SiB2) prediction 
Time-Expanded Sampling Approach for Ensemble Kalman Filter:Experiment Assimilation of Simulated Soundings被引量：1
《Acta meteorologica Sinica》2011年第5期558-567,共10页杨毅 弓中强 王金艳 刘鑫华 
Supported by the National Natural Science Foundation of China (40805044);Natural Science Foundation of Gansu Province(1010RJZA118);Fundmental Research Fund for Central Universities Science and Technology Development Program of China(lzujbky-2010-12)
In the Ensemble Kalman Filter（EnKF） data assimilation-prediction system,most of the computation time is spent on the prediction runs of ensemble members.A limited or small ensemble size does reduce the computational...
关键词：ASSIMILATION ENKF time-expanded sampling 
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