Journal of Earth System Science ( IF 1.3 ) Pub Date : 2020-09-25 , DOI: 10.1007/s12040-020-01462-5 M Khoshchehreh , M Ghomeshi , A Shahbazi
Abstract
Accurate estimation of the precipitation characteristics, including the value, temporal pattern, and spatial distribution, plays a significant role in the input uncertainty reduction for rainfall-runoff models. In many basins, the improper spatial distribution of rain gauge stations or their limited historical recorded data causes many challenges, especially in heterogeneous catchments which due to the impact of the drastic geographical alterations on the rainfall distribution pattern, the cover of the ground stations cannot estimate the actual precipitation rate. This challenge can be potentially solved by adopting rainfall products as alternative or complementary data sources. In this research, three rainfall products (PERSIANN-CCS, CMORPH and ERA-Interim), were compared against rain gauge stations for calibration of a daily conceptual lumped rainfall-runoff model (CRFM) in a data-scarce and heterogeneous basin located in southwestern Iran. The results indicated that ERA-Interim has the best performance among other datasets. Better performance of this dataset compared to the in-situ data also suggests a better estimation of the basin average as well as the temporal pattern of precipitation. The KGE value was obtained as 0.8 and 0.74, respectively, for a rainfall-runoff model that utilized the ERA-Interim as input in the calibration and validation periods. The results showed that the performance of satellite-based data of CMORPH and PERSIANN-CCS is not acceptable in simulating the daily flow. Also, the seasonal assessment showed that ERA-Interim has a better performance compared to other datasets, during fall and winter. However, in the spring, the performance of all datasets significantly reduces, and the range of BIAS variation increases. Generally, all datasets were shown to perform better in simulating the flow in terms of the transition from dry to wet periods, rather than wet to dry periods.
Highlights
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Three rainfall products (PERSIANN-CCS, CMORPH and ERA-Interim), were compared against rain gauge stations for calibration of a daily conceptual lumped rainfall-runoff model in a data-scarce and heterogeneous basin located in southwestern Iran
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ERA-Interim has the best performance among other datasets and suggests a better estimation of the basin average as well as the temporal pattern of precipitation
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The performance of satellite-based data of CMORPH and PERSIANN-CCS is not acceptable in simulating the daily flow
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The performance of all datasets significantly reduces in spring
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All datasets were shown to perform better in simulating the flow in terms of the transition from dry to wet periods, rather than wet to dry periods
中文翻译：
伊朗非均质数据稀缺盆地中全球网格化降水数据集的水文评估
摘要
准确估算包括值，时间模式和空间分布在内的降水特征，对于减少降雨径流模型的输入不确定性起着重要作用。在许多流域，雨量计站的空间分布不当或其有限的历史记录数据引起了许多挑战，特别是在非均质流域中，由于剧烈的地理变化对降雨分布模式的影响，地面站的覆盖范围无法估算实际降水率。通过采用降雨产品作为替代或补充数据源，可以潜在地解决这一挑战。在这项研究中，三种降雨产品（PERSIANN-CCS，CMORPH和ERA-Interim）将其与雨量计站进行了比较，以校准伊朗西南部一个数据稀缺且非均质盆地中的每日概念集总降雨径流模型（CRFM）。结果表明，ERA-Interim在其他数据集中具有最佳性能。与 原位数据还表明，可以更好地估算流域平均水平和降水的时间模式。对于使用ERA-Interim作为校准和验证期间输入的降雨径流模型，KGE值分别为0.8和0.74。结果表明，在模拟日流量时，CMORPH和PERSIANN-CCS卫星数据的性能是不可接受的。此外，季节性评估显示，在秋季和冬季，ERA-Interim的性能优于其他数据集。但是，到了春季，所有数据集的性能都会大大降低，BIAS变化的范围也会增加。通常，所有数据集在模拟流量方面表现出从干到湿的过渡，而不是从湿到干的过渡，表现更好。
强调
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将三个降雨产品（PERSIANN-CCS，CMORPH和ERA-Interim）与雨量计站进行了比较，以校准位于伊朗西南部一个数据稀少且非均质盆地中的每日概念集总降雨径流模型
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ERA-Interim在其他数据集中表现最好，建议对流域平均水平和降水的时间模式进行更好的估算
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在模拟日流量时，不能接受基于CMORPH和PERSIANN-CCS的卫星数据的性能
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春季所有数据集的性能显着下降
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结果表明，所有数据集在模拟流量方面均表现出从干到湿的过渡，而不是从干到湿的过渡。
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