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Impact of satellite-based soil moisture index on hydrological simulation for floods prediction

机译:卫星土壤水分指数对洪水预报水文模拟的影响

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This paper assesses the impact of soil moisture indexes that can be retrieved via different techniques from thermal IR satellite observations on the re-initialization of flood prediction models. The work considers 2 types of index, one based on thermal inertia, and the second that puts together satellite derived LST and a simplified energy balance model using a variational data assimilation schemes. Results are discussed with reference to an operational flood forecasting framework. Case studies are three catchments in Italy.
机译:本文评估了可以通过不同技术从热红外卫星观测中获取的土壤水分指数对洪水预报模型重新初始化的影响。这项工作考虑了两种类型的指标,一种基于热惯性,第二种将卫星衍生的LST和使用变分数据同化方案的简化能量平衡模型组合在一起。讨论结果时参考了可操作的洪水预报框架。案例研究是意大利的三个流域。

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