Accurate representation of precipitation over time and space is vital for hydro-climatic studies. Appropriate selection of gridded precipitation data (GPD) is important for regions where long-term in situ records are unavailable and gauging stations are sparse. This study was an attempt to identify the best GPD for the data-poor Amu Darya River basin, a major source of freshwater in Central Asia. The performance of seven GPDs and 55 precipitation gauge locations was assessed. A novel algorithm, based on the integration of a compromise programming index (CPI) and a global performance index (GPI) as part of a multi-criteria group decision-making (MCGDM) method, was employed to evaluate the performance of the GPDs. The CPI and GPI were estimated using six statistical indices representing the degree of similarity between in situ and GPD properties. The results indicated a great degree of variability and inconsistency in the performance of the different GPDs. The CPI ranked the Climate Prediction Center (CPC) precipitation as the best product for 20 out of 55 stations analysed, followed by the Princeton University Global Meteorological Forcing (PGF) and Climate Hazards Group Infrared Precipitation with Station (CHIRPS). Conversely, GPI ranked the CPC product the best product for 25 of the stations, followed by PGF and CHRIPS. Integration of CPI and GPI ranking through MCGDM revealed that the CPC was the best precipitation product for the Amu River basin. The performance of PGF was also closely aligned with that of CPC.

准确表示随时间和空间变化的降水对于水文气候研究至关重要。其中原位记录长期无法使用，而且测量站稀疏网格降水资料（GPD）的适当选择是很重要的区域。这项研究旨在为数据贫乏的阿姆达里亚河流域（最佳的中亚淡水来源）确定最佳GPD。评估了七个GPD和55个降水量仪位置的性能。一种基于折衷编程指数（CPI）和全局性能指数（GPI）的集成作为多准则组决策（MCGDM）方法的一部分的新颖算法，用于评估GPD的性能。CPI和GPI是使用六个统计指标估算的，这些统计指标代表就地属性和GPD属性之间的相似程度。结果表明，不同GPD的性能存在很大程度的变异性和不一致性。CPI在分析的55个站点中，有20个将气候预测中心（CPC）降水列为最佳产品，其次是普林斯顿大学全球气象强迫（PGF）和气候危害小组带站点的红外降水（CHIRPS）。相反，GPI将CPC产品评为25个站点的最佳产品，其次是PGF和CHRIPS。通过MCGDM对CPI和GPI排名进行的整合显示，CPC是阿姆河流域最好的降水产品。PGF的绩效也与CPC密切相关。CPI在分析的55个站点中，有20个将气候预测中心（CPC）降水列为最佳产品，其次是普林斯顿大学全球气象强迫（PGF）和气候危害小组带站点的红外降水（CHIRPS）。相反，GPI将CPC产品评为25个站点的最佳产品，其次是PGF和CHRIPS。通过MCGDM对CPI和GPI排名进行的整合显示，CPC是阿姆河流域最好的降水产品。PGF的绩效也与CPC密切相关。CPI在分析的55个站点中，有20个将气候预测中心（CPC）降水列为最佳产品，其次是普林斯顿大学全球气象强迫（PGF）和气候危害小组带站点的红外降水（CHIRPS）。相反，GPI将CPC产品评为25个站点的最佳产品，其次是PGF和CHRIPS。通过MCGDM对CPI和GPI排名进行的整合显示，CPC是阿姆河流域最好的降水产品。PGF的绩效也与CPC密切相关。其次是PGF和CHRIPS。通过MCGDM对CPI和GPI排名进行的整合显示，CPC是阿姆河流域最好的降水产品。PGF的绩效也与CPC密切相关。其次是PGF和CHRIPS。通过MCGDM对CPI和GPI排名进行的整合显示，CPC是阿姆河流域最好的降水产品。PGF的绩效也与CPC密切相关。