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Assimilating scatterometer soil moisture data into conceptual hydrologic models at the regional scale

机译:将散射仪的土壤水分数据纳入区域尺度的概念性水文模型

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This paper examines the potential of scatterometer data from ERS satellitesfor improving hydrological simulations in both gauged and ungaugedcatchments. We compare the soil moisture dynamics simulated by asemidistributed hydrologic model in 320 Austrian catchments with the soilmoisture dynamics inferred from the satellite data. The most apparentdifferences occur in the Alpine areas. Assimilating the scatterometer datainto the hydrologic model during the calibration phase improves therelationship between the two soil moisture estimates without any significantdecrease in runoff model efficiency. For the case of ungauged catchments,assimilating scatterometer data does not improve the daily runoffsimulations but does provide more consistent soil moisture estimates. If themain interest is in obtaining estimates of catchment soil moisture,reconciling the two sources of soil moisture information seems to be ofvalue because of the different error structures.
机译:本文研究了来自ERS卫星的散射仪数据对改进有轨流域和非流域流域的水文模拟的潜力。我们比较了由320个奥地利流域的半分布式水文模型模拟的土壤水分动力学与从卫星数据推断出的土壤水分动力学。最明显的差异发生在高山地区。在校准阶段将散射仪数据纳入水文模型可以改善两种土壤湿度估算值之间的关系,而径流模型效率不会明显降低。对于流域未流失的情况,同化散射仪数据并不能改善每日径流模拟,但可以提供更一致的土壤湿度估算值。如果主要的兴趣是获得流域土壤湿度的估计值,那么由于不同的误差结构,调和土壤水分信息的两个来源似乎是有价值的。

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