Abstract In 2010, flood hampered commercial and agricultural activities and destroyed infrastructure at large scale in Pakistan. Accurate forecasting of the flood is necessary to implement right and timely strategies to mitigate its negative impacts. Therefore, the current study emphasis on evaluation of the suitability of satellite/reanalysis precipitation data products (ERA-Interim, MSWEP, PERSIANN-CDR and TRMM) in comparison with observed rain gauge data for hydrological studies especially for flash floods analysis in the Indus River Basin, Pakistan. The various statistical and categorical matrices Bias, Nash Sutcliff, MAE, RMSE, R2, CSI, FAR, POD, percentage difference, peak error percentage, peak time error and graphical methods were used to report the divergences in the precipitation and flow. Results revealed that the MSWEP was outperformed on daily rainfall and hydrological suitability analysis based on various evaluations and all sources were captured accurate patterns. The study results indicated a potential of satellite and reanalysis data in many applications especially flood forecasting and water management where rain gauge data are not available or limited.

中文翻译：

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巴基斯坦水文适宜性洪水易发区多源统计和定性评价

摘要 2010 年，巴基斯坦的洪水严重阻碍了商业和农业活动，并大规模破坏了基础设施。准确的洪水预报对于实施正确和及时的战略来减轻其负面影响是必要的。因此，当前的研究重点是评估卫星/再分析降水数据产品（ERA-Interim、MSWEP、PERSIANN-CDR 和 TRMM）与观测雨量计数据相比对水文研究特别是印度河山洪暴发分析的适用性盆地，巴基斯坦。各种统计和分类矩阵 Bias、Nash Sutcliff、MAE、RMSE、R2、CSI、FAR、POD、百分比差异、峰值误差百分比、峰值时间误差和图形方法用于报告降水和流量的差异。结果表明，基于各种评估，MSWEP 在日降雨量和水文适宜性分析方面的表现优于 MSWEP，并且所有来源都获得了准确的模式。研究结果表明卫星和再分析数据在许多应用中的潜力，特别是在雨量计数据不可用或有限的洪水预报和水资源管理中。