The paper compares the final run of Integrated Multi‐Satellite Retrieval of Global Precipitation Mission (IMERG) products with India Meteorological Department (IMD) gridded data over the Indian land mass during the southwest monsoon period (June–September) in the period 2014–2017. Spatiotemporal variations of the IMERG are evaluated with IMD rainfall by employing different statistical techniques, and the capability of the IMERG is examined using the categorical skill metrics. A region in central India is the focus in order to study the southwest monsoon's static and dynamic characteristics, such as rainfall distribution and monsoon activity, using the IMERG in conjunction with IMD rainfall data sets. The integrated condensation rate (ICR) was estimated using the specific humidity profiles, and it correlated with the IMERG and IMD rainfall. The IMERG is found to be a potential source for adequately reflecting the ground gauge‐gridded data of categorical rainfall amounts, from very light rain (trace–2.4 mm) to very heavy rain (about 115.6–204.4 mm). However, the IMERG does not reflect satisfactorily the extreme heavy rain events (≥ 204.5 mm·day^–1) during the study period. The significant correlation between IMERG/IMD rainfall and the ICR suggests that improved adjustments methods are required for better results when depicting accurate extreme heavy rainfall events by the IMERG.

中文翻译：

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IMERG在印度大陆上的性能分析研究

本文将2014-2017年西南季风期间（6月至9月）印度陆地质量的全球降水综合卫星综合观测（IMERG）产品与印度气象局（IMD）网格数据的最终运行进行了比较。 。通过采用不同的统计技术，以IMD降雨评估IMERG的时空变化，并使用分类技能指标来检查IMERG的能力。为了将西南季风的静态和动态特征（如降雨分布和季风活动）与IMERG结合IMD降雨数据集一起研究，是印度中部地区的重点。综合凝结率（ICR）是使用特定湿度曲线估算的，并且与IMERG和IMD降雨量相关。人们发现，IMERG是充分反映地面雨量分类数据（从小雨（迹线至2.4毫米）到大雨（约115.6至204.4毫米））的潜在来源。但是，IMERG不能令人满意地反映极端暴雨事件（≥204.5 mm·天^–1）在学习期间。IMERG / IMD雨量与ICR之间的显着相关性表明，当描述IMERG的精确极端强降雨事件时，需要改进的调整方法以获得更好的结果。