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Calibrating a large-scale groundwater model using spaceborne remote sensing products: a test-case for the Rhine-Meuse basin

机译:使用星载遥感产品校准大型地下水模型:莱茵 - 梅苏盆地的测试用例

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The European Remote Sensing Soil Water Index (ERS SW1) fields, providing spatio-temporal soil moisture expressions, should be able to infer groundwater dynamics. In this study, we explore the possibility of using them to calibrate a coupled groundwater-land surface model. We apply a brute force calibration procedure by running several scenarios with varying parameter values of aquifer and upper soil properties. Results indicate that ERS SWI time series can be used in the calibration of such groundwater models by indirectly tuning groundwater recharge through changing the upper soil saturated hydraulic conductivities. It is shown that the scenarios showing good soil moisture dynamic performances also show good performances of their resulting groundwater head time series. However, the discharge performance is sensitive to the aquifer transmissivity. Discharge observations are thus also required for a more accurate model calibration.
机译:欧洲遥感土壤水指数(ERS SW1)领域,提供时空土壤水分表达,应该能够推断地下水动态。在本研究中,我们探讨了使用它们来校准耦合地下水陆地模型的可能性。我们通过运行若干方案来施加蛮力校准程序,该方案具有不同参数值的含水层和上部土壤性质。结果表明,通过通过改变上部土壤饱和液压传导,通过间接调谐地下水充电来校准这种地下水模型的校准。结果表明,呈现出良好的土壤水分动态性能的情景也显示出它们所产生的地下水头时间序列的良好性能。但是,放电性能对含水层透射率敏感。因此,还需要放电观察以获得更准确的模型校准。

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