## 2 Overview of Contributions
The PRPS has been modified for use with the TMS instrument using a database comprising observations from current sounding sensors. In terms of monthly precipitation estimates, the results fall within the mission's specifications and are similar in performance to retrievals from other sounding instruments, and at an instantaneous scale, the results are very promising. Using a set of site-based interpolation data, [PERSON] et al. [6] evaluated the accuracies of six satellite precipitation datasets, at different temporal scales (daily, monthly, and yearly) in mainland China from 2001 to 2015. In terms of mean precipitation, IMERG-F was found to be superior to the other data in all areas. IMERG products and PERSIANN-CDR performed better than the other products at all scales, and were most suitable for precipitation research in mainland China. Some satellite precipitation products performed better in summer than in winter; however, the error was larger in seasons with more precipitation. A simple statistical model was introduced by [PERSON] and [PERSON] [7] to characterize the distribution of uncertainty in gridded multi-platform satellite precipitation products. With a view to improving the existing framework and better understanding the uncertainty of the daily \(1^{\circ}\times 1^{\circ}\) scale, the authors assessed the effectiveness of simple decomposition of uncertainty, under an additive error model assumption and as a sum of two Gaussian distributions. The following three types of uncertainty were considered: (i) constellation change-induced uncertainties, (ii) sampling uncertainties, and (iii) uncertainties related to comparisons with rain gauge network data. [PERSON] et al. [8] aimed to simultaneously evaluate precipitation estimates obtained from the three IMERG runs (Early, Late, and Final) at different time scales (half-hourly, hourly, daily, monthly, seasonal, and annual), taking the automatic stations of the Meteorological Service of Catalonia as a reference. Additionally, to validate the IMERG estimates at the highest temporal resolution (30 min) according to different orographic features and different climatic conditions, and according to different precipitation intensity thresholds, their study considered the period of 2015 to 2020 and focused on the region of Catalonia, in the northeastern region of the Iberian Peninsula. In their study, [PERSON] et al. [9] aimed to evaluate the performance of GSMaP version 08 over the Indonesian Maritime Continent (IMC) using near-real-time and post-real-time rain gauge (RG) observations from December 2021 to June 2022. Assessments were carried out on data from 586 rain gauge (RG) stations using a point-to-pixel approach. The accuracy of GSMaP version 08 was evaluated in terms of timescales, variations in intensity and extreme events, and the effect of elevation. In addition, this research examined the ability of GSMaP to capture data on diurnal patterns over the IMC. [PERSON] et al. [10] validated IMERG version V05B and V06B precipitation products from the GPM mission against ground-based observations from the Kwajalein PolarimetricS-band Weather Radar (KPOL), deployed at Kwajlein Atoll in the central Pacific Ocean. This validation study indicated that precipitation rates from both IMERG V05B and V06B are underestimated with respect to surface radar estimates, but to a lesser extent in V06B compared to V05B. IMERG V06B outperforms V05B, exhibiting reduced systematic bias and improved precipitation detectability.