%0 Journal Article
%T Applications of ensemble Kalman filter in soil moisture assimilation<br>集合Kalman滤波在土壤湿度同化中的应用
%A Zhang Shenglei
%A Xie Zhenghui
%A Shi Chunxiang and
%A <br>张生雷
%A 谢正辉
%A 师春香
%A 等
%J 大气科学
%D 2008
%I 
%X A soil moisture assimilation scheme is developed,which is based on the ensemble Kalman filter(EnKF),an unsaturated soil water flow model and the Variable Infiltration Capacity(VIC) land surface hydrologic model.To validate and verify the scheme,several assimilation experiments with in-situ observations and infiltration derived from the VIC model driven by observed meteorologic forcings are presented.The results demonstrate that the assimilation scheme can retrieve the true soil moisture profile,improve the estimation of soil moisture,and capture the daily,dekad,monthly and seasonal variation of soil moisture,which shows that the scheme is reasonable.Comparisons of the assimilation experiments with the algorithms EnKF and Extended Kalman Filter(EKF) show that the EnKF scheme with the suitable ensemble size is easy to implement and is a little superior to the EKF scheme for soil moisture assimilation,but the computational cost for the EnKF scheme is higher than that for the EKF scheme.
%K land data assimilation
%K soil moisture
%K ensemble Kalman filter
%K extended Kalman filter
%K VIC model<br>陆面数据同化
%K 土壤湿度
%K 集合卡尔曼滤波
%K 扩展卡尔曼滤波
%K VIC模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=28A2F569B2458C17&jid=46874A5A102033D774D00D819E91CD68&aid=F6A543C6F6ECC7FD1900D664C403CCF5&yid=67289AFF6305E306&vid=9971A5E270697F23&iid=B31275AF3241DB2D&sid=8EA44A8F6C7F424F&eid=95A5B7E5A2BF95B5&journal_id=1006-9895&journal_name=大气科学&referenced_num=4&reference_num=40