caa a22 4500 445301163 CHVBK 20180317142558.0 cr unu---uuuuu 170323e20101101xx s 000 0 eng 10.1007/s11430-010-4107-8 doi (NATIONALLICENCE)springer-10.1007/s11430-010-4107-8 Application and improvement of an adaptive ensemble Kalman filter for soil moisture data assimilation [Elektronische Daten] [XiaoKang Shi, Jun Wen, JianWen Liu, Hui Tian, Xin Wang, YaoDong Li] Accurate assignment of model and observation errors is crucial for the successful application of land surface data assimilation algorithms. Poorly-specified model and observation errors can significantly degrade assimilation results. In 2008, Reichle et al. developed an operational procedure to adaptively tune model and observation errors. In this paper, we modified and applied Reichle's procedure in the Noah land surface model to assimilate observed surface soil moisture data. Numerical simulations showed that: (1) the best estimate of model and observation errors appears when the empirical factor β equals 1.02; (2) the Reichle procedure can be deployed to adaptively tune errors if their true values change slowly; and (3) convergence of the Reichle procedure was improved using better initial errors achieved by iterative computations. Science China Press and Springer-Verlag Berlin Heidelberg, 2010 Noah nationallicence numerical simulation nationallicence data assimilation nationallicence adaptive ensemble Kalman filter nationallicence soil moisture nationallicence Shi XiaoKang Laboratory for Climate Environment and Disasters of Western China, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 730000, Lanzhou, China aut Wen Jun Laboratory for Climate Environment and Disasters of Western China, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 730000, Lanzhou, China aut Liu JianWen Beijing Aviation Meteorological Institute, 100085, Beijing, China aut Tian Hui Laboratory for Climate Environment and Disasters of Western China, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 730000, Lanzhou, China aut Wang Xin Laboratory for Climate Environment and Disasters of Western China, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 730000, Lanzhou, China aut Li YaoDong Beijing Aviation Meteorological Institute, 100085, Beijing, China aut Science China Earth Sciences SP Science China Press 53/11(2010-11-01), 1700-1708 1674-7313 53:11<1700 2010 53 11430 https://doi.org/10.1007/s11430-010-4107-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11430-010-4107-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Shi XiaoKang Laboratory for Climate Environment and Disasters of Western China, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 730000, Lanzhou, China aut NATIONALLICENCE 700 1- Wen Jun Laboratory for Climate Environment and Disasters of Western China, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 730000, Lanzhou, China aut NATIONALLICENCE 700 1- Liu JianWen Beijing Aviation Meteorological Institute, 100085, Beijing, China aut NATIONALLICENCE 700 1- Tian Hui Laboratory for Climate Environment and Disasters of Western China, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 730000, Lanzhou, China aut NATIONALLICENCE 700 1- Wang Xin Laboratory for Climate Environment and Disasters of Western China, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 730000, Lanzhou, China aut NATIONALLICENCE 700 1- Li YaoDong Beijing Aviation Meteorological Institute, 100085, Beijing, China aut NATIONALLICENCE 773 0- Science China Earth Sciences SP Science China Press 53/11(2010-11-01), 1700-1708 1674-7313 53:11<1700 2010 53 11430 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer