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
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China,Department of Earth and Environmental Sciences, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1;
rnState Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China,Department of Geoscience, University of Nevada, Las Vegas, NV 89154, USA;
rnState Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China;
rnOffice of Arid Lands Studies, University of Arizona, 1955 E. 6th Street, Tucson, AZ 85719, USA;
rnState Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China;
rnDepartment of Earth and Environmental Sciences, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1;
soil moisture content; root zone; richards' equation; optimal parameters and extended kalman; filter data assimilation method; particle swarm optimization algorithm;
机译:使用EnKF的状态参数同时估计和强迫不确定性对动态植被根区土壤水分的影响
机译:基于复杂步骤的低阶扩展卡尔曼滤波用于地下运输模型中的状态参数估计
机译:从同等比例的土壤水分和海洋盐度数据的同化估算根区土壤水分
机译:集成卡尔曼滤波对日本脑炎传播的短期预测和双重状态参数估计
机译:使用有限的土壤信息和表层土壤水分数据同化来估计根区土壤含水量。
机译:基于IMU数据和视觉数据融合的扩展卡尔曼滤波器的移动机器人姿态估计
机译:基于淮河流域上游的集合卡尔曼滤波研究表层土壤水分同化对sWaT模型状态和参数估计的影响
机译:用滤波器误差法和扩展卡尔曼滤波器估算飞机参数