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Soil moisture-runoff relation at the catchment scale as observed with coarse resolution microwave remote sensing

机译:粗分辨率微波遥感观测的集水区土壤水分-径流关系

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Microwave remote sensing offers emerging capabilities to monitor globalhydrological processes. Instruments like the two dedicated soil moisturemissions SMOS and HYDROS or the Advanced Scatterometer onboard METOP willprovide a flow of coarse resolution microwave data, suited for macro-scaleapplications. Only recently, the scatterometer onboard of the European RemoteSensing Satellite, which is the precursor instrument of the AdvancedScatterometer, has been used successfully to derive soil moisture informationat global scale with a spatial resolution of 50 km. Concepts of how tointegrate macro-scale soil moisture data in hydrologic models are howeverstill vague. In fact, the coarse resolution of the data provided by microwaveradiometers and scatterometers is often considered to impede hydrologicalapplications. Nevertheless, even if most hydrologic models are run at muchfiner scales, radiometers and scatterometers allow monitoring ofatmosphere-induced changes in regional soil moisture patterns. This may proveto be valuable information for modelling hydrological processes in largeriver basins (>10 000 km2. In this paper, ERS scatterometer derivedsoil moisture products are compared to measured runoff of the Zambezi Riverin south-eastern Africa for several years (1992–2000). This comparisonserves as one of the first demonstrations that there is hydrologic relevantinformation in coarse resolution satellite data. The observed highcorrelations between basin-averaged soil moisture and runoff time series(R2
机译:微波遥感提供了监测全球水文过程的新兴能力。诸如两个专门的土壤水分排放SMOS和HYDROS或METOP板上的高级散射仪之类的仪器将提供适合宏观应用的粗分辨率微波数据流。直到最近,欧洲遥感卫星上的散射仪(AdvancedScatterometer的前身仪器)才被成功地用于获得全球分辨率为50 km的土壤湿度信息。然而,如何在水文模型中整合宏观土壤湿度数据的概念仍然模糊。实际上,通常认为微波辐射计和散射仪提供的数据的粗分辨率会阻碍水文应用。尽管如此,即使大多数水文模型都在更精细的规模上运行,辐射计和散射仪仍可以监测大气引起的区域土壤湿度模式的变化。这对于在较大的盆地(> 10000 km 2 )中的水文过程进行建模可能是有价值的信息。在本文中,将ERS散射仪得出的土壤含水量与非洲东南部赞比西河的测得径流量进行了比较。几年(1992-2000年),该比较是在粗分辨率卫星数据中存在水文相关信息的第一个证明之一,流域平均土壤湿度与径流时间序列之间的高度相关性( R < sup> 2

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