机译:基于集成的状态和参数估计方法对土壤水分数据同化的比较
Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China|Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Key Lab Remote Sensing Gansu Prov, Lanzhou 730000, Gansu, Peoples R China;
Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Key Lab Remote Sensing Gansu Prov, Lanzhou 730000, Gansu, Peoples R China|Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Heihe Remote Sensing Expt Res Stn, Lanzhou 730000, Gansu, Peoples R China;
Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China;
Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Key Lab Remote Sensing Gansu Prov, Lanzhou 730000, Gansu, Peoples R China|Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China;
Data assimilation; Soil moisture; Brightness temperature; State-parameter estimation; Common Land Model;
机译:基于最优参数估计和扩展卡尔曼滤波数据同化的根区土壤水分双状态参数估计
机译:与时变土壤液压参数估计的集合数据同化方法的比较
机译:用数据同化法估算土壤水分时模型参数收敛性的评估
机译:区域土壤水分数据同化中观测误差估计的新方法
机译:基于中尺度集合的数据同化和参数估计。
机译:从Sentinel-1和Sentinel-2数据将叶面积指数和土壤水分联合吸收到WOFOST模型中进行冬小麦产量估算
机译:TERENO站点Rollesbroich的EnKF和PF对土壤水分数据的同化和参数估计有两种模型
机译:土壤水分资料同化中先验偏差校正方法的比较