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Distributed hydrologic modeling of a sparsely monitored basin in Sardinia, Italy, through hydrometeorological downscaling

机译:通过水文气象缩小法对意大利撒丁岛一个稀疏监测盆地进行分布式水文模拟

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The water resources and hydrologic extremes in Mediterranean basins areheavily influenced by climate variability. Modeling these watersheds isdifficult due to the complex nature of the hydrologic response as well asthe sparseness of hydrometeorological observations. In this work, we presenta strategy to calibrate a distributed hydrologic model, known as TIN-basedReal-time Integrated Basin Simulator (tRIBS), in the Rio Mannu basin (RMB),a medium-sized watershed (472.5 km2) located in an agricultural area inSardinia, Italy. In the RMB, precipitation, streamflow and meteorologicaldata were collected within different historical periods and at diversetemporal resolutions. We designed two statistical tools for downscalingprecipitation and potential evapotranspiration data to create the hourly,high-resolution forcing for the hydrologic model from daily records. Despitethe presence of several sources of uncertainty in the observations and modelparameterization, the use of the disaggregated forcing led to goodcalibration and validation performances for the tRIBS model, when dailydischarge observations were available. The methodology proposed here can bealso used to disaggregate outputs of climate models and conducthigh-resolution hydrologic simulations with the goal of quantifying theimpacts of climate change on water resources and the frequency of hydrologicextremes within medium-sized basins.
机译:地中海盆地的水资源和极端水文受气候变化的影响很大。由于水文响应的复杂性以及水文气象观测的稀疏性,很难对这些流域进行建模。在这项工作中,我们提出了在中型分水岭(472.5 km 2 <)上的里约曼努盆地(RMB)上校准分布式水文模型(称为基于TIN的实时综合盆地模拟器(tRIBS))的策略。 / sup>)位于意大利撒丁岛的一个农业地区。在人民币中,降水,流量和气象数据是在不同的历史时期和不同的时间分辨率下收集的。我们设计了两个统计工具来减少降水量和潜在的蒸散量数据,以从每日记录中为水文模型创建每小时的高分辨率强迫。尽管观测值和模型参数化中存在一些不确定性来源,但在每天排放观测可用的情况下,使用分类强迫会导致tRIBS模型具有良好的校准和验证性能。这里提出的方法还可以用于分解气候模型的输出并进行高分辨率的水文模拟,其目的是量化气候变化对中型盆地内水资源的影响以及极端水文发生的频率。

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