Precipitation is a vital pillar in the most of hydro-climatological studies. To measure its stochastic behavior, recent technological advancements have provided new sources of High-Resolution Precipitation Products (HRPPs), which could be utilized to overcome limitations of the ground measurements. However, accuracy of HRPPs is not the same in different regions and climates and therefore, should be assessed prior to any practical application. In this study, monthly datasets of ten HRPPs, known as CHIRPS, CMORPH, ERA5-Land, GPM_3IMERGM, MSWEP V2, PERSIANN, PERSIANN-CCS, PERSIANN-CDR, TerraClimate, and TRMM_3B43, are assessed over Central Plateau watershed located in central Iran during 2005 to 2015. Lack of previous studies as well as remarkable variations in altitude and climate of this watershed, make it a suitable region for studying spatiotemporal pattern of precipitation and evaluating HRPPs. For this purpose, two approaches are implemented; comparing the products with ground measurements and together using Triple Collocation (TC). Through the first approach, an error decomposition scheme is utilized besides the other statistical metrics to further investigate total and seasonal accuracy of the HRPPs; Köppen-Geiger climate classification indicators are used to assess climate-based spatial performance of the HRPPs. According to the results, most of the HRPPs underestimate and overestimate precipitation values in wetter and drier climates, respectively. Additionally, winter contributes more than any other season to the biases of the products. While GPM_3IMERGM is the most accurate HRPP in the region with NRMSE, NSE, and KGE of 0.95, 0.62, and 0.73, respectively, PERSIANN-CCS results in the lowest accuracy with NRMSE, NSE, and KGE of 2.09, −0.82, and − 0.02, respectively.

降水是大多数水文气候研究的重要支柱。为了测量其随机行为，最近的技术进步提供了高分辨率降水产品 (HRPP) 的新来源，可用于克服地面测量的局限性。然而，HRPP 的准确度在不同地区和气候下并不相同，因此应在任何实际应用之前进行评估。在这项研究中，对位于伊朗中部的中央高原流域的十个 HRPP 的月度数据集进行了评估，这些数据集称为 CHIRPS、CMORPH、ERA5-Land、GPM_3IMERGM、MSWEP V2、PERSIANN、PERSIANN-CCS、PERSIANN-CDR、TerraClimate 和 TRMM_3B43。 2005 年至 2015 年期间。缺乏先前的研究以及该流域海拔和气候的显着变化，使其成为研究降水时空格局和评价HRPPs的适宜区域。为此，实施了两种方法；将产品与地面测量结果进行比较，并使用三重搭配 (TC)。通过第一种方法，除了其他统计指标外，还使用了误差分解方案来进一步研究 HRPP 的总体和季节准确性；Köppen-Geiger 气候分类指标用于评估 HRPP 基于气候的空间性能。根据结果​​，大多数 HRPP 分别低估和高估了潮湿和干燥气候下的降水值。此外，冬季对产品偏差的影响比任何其他季节都要大。而 GPM_3IMERGM 是该地区最准确的 HRPP，NRMSE、NSE 和 KGE 分别为 0.95、0.62、