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首页> 外文期刊>Journal of hydrometeorology >Distributed Hydrologic Modeling Using Satellite-Derived Potential Evapotranspiration
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Distributed Hydrologic Modeling Using Satellite-Derived Potential Evapotranspiration

机译:利用卫星潜在蒸散的分布式水文模拟

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Satellite-derived potential evapotranspiration (PET) estimates computed from Moderate Resolution Imaging Spectroradiometer (MODIS) observations and the Priestley-Taylor formula (M-PET) are evaluated as input to the Hydrology Laboratory Research Distributed Hydrologic Model (HL-RDHM). The HL-RDHM is run at a 4-km spatial and 6-h temporal resolution for 13 watersheds in the upper Mississippi and Red River basins for 2003-10. Simulated discharge using inputs of daily M-PET is evaluated for all watersheds, and simulated evapotranspiration (ET) is evaluated at two watersheds using nearby latent heat flux observations. M-PET-derived model simulations are compared to output using the long-term average PET values (default-PET) provided as part of theHL-RDHM application. In addition, uncalibrated and calibrated simulations are evaluated for both PET data sources. Calibrating select model parameters is found to substantially improve simulated discharge for both datasets. Overall average percent bias (PBias) and Nash-Sutcliffe efficiency (NSE) values for simulated discharge are better from the default-PET than the M-PET for the calibrated models during the verification period, indicating that the time-varying M-PET input did not improve the discharge simulation in theHL-RDHM. M-PET tends to produce higher NSE values than the default-PET for the Wisconsin and Minnesota basins, but lower NSE values for the Iowa basins. M-PET-simulated ET matches the range and variability of observed ET better than the default-PET at two sites studied and may provide potential model improvements in that regard.
机译:根据中度分辨率成像光谱仪(MODIS)观测值和Priestley-Taylor公式(M-PET)计算得出的卫星衍生潜在蒸散量(PET)估计值作为水文实验室研究分布式水文模型(HL-RDHM)的输入。 HL-RDHM在密西西比河上游和红河流域2003-10年度的13个流域以4 km的时空分辨率和6 h的时间分辨率运行。使用每日M-PET的输入对所有流域进行模拟排放评估,并使用附近的潜热通量观测值对两个流域的模拟蒸散量(ET)进行评估。使用HL-RDHM应用程序中提供的长期平均PET值(默认PET)将M-PET衍生的模型仿真与输出进行比较。另外,对两个PET数据源都评估了未校准和已校准的仿真。发现校准选择模型参数可以显着改善两个数据集的模拟流量。在验证期间,默认PET的模拟放电的总体平均平均偏差百分比(PBias)和Nash-Sutcliffe效率(NSE)值优于校准模型的M-PET,表明默认PET没有改善HL-RDHM中的放电模拟。与威斯康星州和明尼苏达州盆地的默认PET相比,M-PET倾向于产生更高的NSE值,而爱荷华州盆地的NSE值则更低。在两个研究地点,M-PET模拟的ET匹配观测到的ET的范围和变异性都优于默认PET,并且在这方面可能提供潜在的模型改进。

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