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Assessing the performance of several rainfall interpolation methods as evaluated by a conceptual hydrological model

机译:评估几种概念水文模型评估的几种降雨插值方法的性能

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The objective of this study was to assess the performance of several rainfall interpolation methods as evaluated by a conceptual hydrological model. To this purpose, the upper Toro River catchment (43.15 km2) located in Costa Rica was selected as case study. Deterministic and geostatistical interpolation methods were selected to generate time-series of daily and hourly average rainfall over a period of 10 years (2001-2010). These time-series were used as inputs for the HBV-TEC hydrological model and were individually calibrated against observed streamflow data. Based on model results, the performance of the deterministic methods can be said to be comparable to that of the geostatistical methods at daily time-steps. However, at hourly time-steps, deterministic methods considerably outperformed geostatistical methods.
机译:本研究的目的是评估几种降雨插值方法的性能,如概念水文模型评估的。为此目的,选择位于哥斯达黎加的上部托罗河集水区(43.15 km2)被选中为案例研究。确定统计学和地统计学插值方法,在10年(2001-2010)中,在10年(2001-2010)中产生每日和每小时平均降雨的时间系列。这些时间序列被用作HBV-TEC水文模型的输入,并针对观察到的流流数据单独校准。基于模型结果,可以说,确定性方法的性能与日常时间步骤中的地质统计方法的性能相当。但是,在每小时的时间步骤中,确定性方法显着优于地质统计方法。

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