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机译:基于粒子滤波的同化算法,用于改善动态植被条件下根区土壤水分的估计
Center for Remote Sensing, Agricultural and Biological Engineering Department, The University of Florida, P.O. Box 110570, Gainesville, FL 32611, USA;
Center for Remote Sensing, Agricultural and Biological Engineering Department, The University of Florida, P.O. Box 110570, Gainesville, FL 32611, USA;
Water Institute, The University of Florida, Gainesville, FL 32611, USA;
ESIME Unidad Ticoman, Insitituto Polictenko National, Mexico City, Mexico;
root zone soil moisture; SVAT-vegetation models; particle filter; EnKF; microWEX-2;
机译:GRACE和SMOS的全球联合吸收,用于改进对根区土壤水分和植被响应的估算
机译:改进根区土壤水分和植被反应的全球联合同化恩典和SMOS
机译:改善根区土壤水分和植被反应的恩典和SMO的全球联合同化
机译:利用改进的粒子滤波同化算法估算土壤湿度
机译:多尺度土壤水分数据同化和代表性田间尺度土壤水分特征的估算。
机译:使用同化诊断对SMAP 4级表面和根区土壤水分产品进行全球评估
机译:改进根区土壤水分和植被反应的全球联合同化恩典和SMOS