%0 Journal Article
%T Estimates of observation error based on shortwave infrared perpendicular water stress index for regional assimilation<br>短波红外垂直失水指数观测误差估计方法及其同化方案
%A ZHU Lin
%A QIN Qi-Ming
%A WANG Jin-Liang
%A LIU Ming-Chao
%A <br>朱琳
%A 秦其明
%A 王金梁
%A 刘明超
%J 红外与毫米波学报
%D 2011
%I Science Press
%X Confirming observation operator and its spatial form of error variance is especially important for regional data assimilation scheme. In previous studies, observation error derived from remote sensing data is assumed only correlated with time while its spatial heterogeneity is often ignored. This assuming alleviates the computing pressure while also brings error to the assimilation process. In this study, new method for estimating the observation error based on shortwave infrared perpendicular water stress index was presented. The new observation error estimation method was further used into a two stage data assimilation scheme. From data assimilation experiment, it was demonstrated that the improved data assimilation scheme can fairly reveal spatial variations of surface soil moisture resulted from spatial and quantitative heterogeneous of vegetation and further improve assimilation accuracy.
%K shortwave infrared perpendicular water stress index (SPSI
%K observation error
%K soil moisture
%K data assimilation
%K (boreal ecosystem productivity simulator)BEPS<br>短波红外垂直失水指数
%K 观测误差
%K 土壤水分
%K 数据同化
%K BEPS模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=D3B4F771D1A06062008B4D0A2EF05996&aid=5A63F5AD7FC6A6793EBF0E26D873FF6A&yid=9377ED8094509821&vid=340AC2BF8E7AB4FD&iid=B31275AF3241DB2D&sid=E3D3D8D1B650AE1E&eid=BB98BB04E861B6F5&journal_id=1001-9014&journal_name=红外与毫米波学报&referenced_num=0&reference_num=24