###### Abstract
This satellite carries Dual-frequency Precipitation Radar (DPR) paired with a 13-channel passive microwave radiometer, namely, GPM Microwave Imager (GMI), which enables more accurate precipitation estimation and its phase detection [14]. Both TRMM and GPM are collaborative missions between the United States (US) National Aeronautics and Space Administration (NASA) and the Japan Aerospace Exploration Agency (JAXA). After the successful launch of the GPM Core Observatory, two GPM-based multi-satellite precipitation products, namely, Integrated Multi-satellite Retrievals for GPM (IMERG [15; 16]) by NASA and GSMaP version 6 by JAXA were released. There are three kinds of IMERG products (e.g., Early, Late, and Final Runs) available depending upon their applications and latency times. Early (e.g., IMERG-E) and Late (e.g., IMERG-L) Runs are available in near-real-time, whereas Final Run (e.g., IMERG-F) is a research product available in post-real-time and includes rain gauge observations over land. IMERG products are available at finer spatial and temporal resolutions (0.1\({}^{\circ}\)/half-hourly) as compared to TMPA (0.25\({}^{\circ}\)/three-hourly). Several research studies showed that the GPM-era multi-satellite precipitation products (e.g., IMERG) usually perform better than the TRMM-era products (e.g., TMPA). IMERG products show better performance than the TMPA-3B42 product in the estimation and detection of extreme precipitation over China [17], India [18], and Nepal [19]. IMERG was also shown to be marginally better than TMPA over the southeastern United States by [PERSON] et al. [20], and they noticed better precipitation detection and reduction in errors when scaled up to larger area (from 0.1\({}^{\circ}\) to 2.5\({}^{\circ}\)) and longer time periods (from 0.5 h to 24 h). [PERSON] et al. [21] evaluated IMERG-F estimates against rain-gauge-based gridded rainfall dataset (e.g., APHRODITE-2) over Japan, Nepal, and Philippines regions for 2014-2015. They showed that IMERG is able to capture diurnal to intraseasonal variability of precipitation and be improved in the detection of extreme precipitation events compared to the TMPA-3B42. The differences between IMERG and TMPA precipitation products are larger over the ocean as compared to land due to similar gauge adjustment [22]. Furthermore, the GPM-based GSMaP precipitation product showed similar performance as IMERG [23; 24]. Based on statistical and hydrological assessments, [PERSON] et al. [25] demonstrated that IMERG-F (V05B) is better than TMPA-3B42 and GSMaP products over Myanmar. IMERG is also shown to be better than TMPA in orographic precipitation estimation over the Tibetan Plateau at multiple timescales [26]. These studies revealed the superiority of IMERG products over other contemporary or TRMM-era multi-satellite precipitation products. Three Runs of IMERG products (with different release versions) were extensively evaluated over several parts of the globe. For instance, the IMERG-F V6 product was shown to be in good agreement with the radar-based Stage IV product in the representation of seasonal spatial distribution and diurnal cycle of mesoscale convective systems over the central and eastern US for the period of 2014-2016 [27]. Although the amplitude of the precipitation diurnal cycle has been overestimated by the IMERG suite, the near-real-time IMERG-L product has shown better performance than the IMERG-F product in the representation of precipitation diurnal cycle over Brazil during 2014-2018 as compared against 1261 rain gauge observations [28]. An evaluation of IMERG-F V6 product over China at a daily scale for 2014-2018 revealed that the multi-satellite product has limited capability in the detection of light rainfall of less than 5 mm day\({}^{-1}\), which becomes further worse over the regions with complex winter precipitation phase due to large miss bias [29].