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机译:水文模型的新的多站点级联标定方法:使用VIC模型的红河流域案例研究
School of Civil Engineering and Environmental Sciences, Univ. of Oklahoma, Norman, OK 73019 Hydrometeorology and Remote Sensing Laboratory and Advanced Radar Research Center, National Weather Center, Norman, OK 73072;
Cooperative Institute for Mesoscale Meteorological Studies, Univ. of Oklahoma, Norman, OK 73072;
School of Civil Engineering and Environmental Sciences, Univ. of Oklahoma, Norman, OK 73019 Dept. of Hydraulic Engineering, Tsinghua Univ., Beijing 100084, China;
NOAA/National Severe Storms Laboratory, Norman, OK 73072;
Chickasaw Nation Division of Commerce, Ada, OK 74820;
Dept. of Geography and Environmental Sustainability, Univ. of Oklahoma, Norman, OK 73019 University, South Central Climate Science Center, Norman, OK 73072;
School of Civil Engineering and Environmental Sciences, Univ. of Oklahoma, Norman, OK 73019 Hydrometeorology and Remote Sensing Laboratory and Advanced Radar Research Center, National Weather Center, Norman, OK 73072;
Dripping Springs, TX 78620;
Hydrological model; Multisite calibration; Optimization; Shuffled complex evolution method-University of Arizona (SCE-UA);
机译:基于遥感的长江流域VIC-3L水文模型评估-以宝河流域为例
机译:利用水文工程中心的水文建模系统改进数据贫乏的流域的连续水文建模:以喀尔eh河流域为例
机译:研究印度河流域气候变化下大规模水文影响的宏观水文模拟方法
机译:两种水文模型在渭河流域的应用:VIC-3L和SWAT的比较
机译:中尺度大气模型和水文模型的耦合研究流域气候变化对水资源的影响-以越南北部苏安江流域为例
机译:利用卫星降水和雨量计观测数据驱动的分布式模型对湄公河流域水文过程建模
机译:遥感数据及自动校准过程校准空间分布水文过程及SWAT模型参数:越南河流域案例研究