Oppositely, conceptual or empirical models only require a long time series of observed data to obtain a robust model evaluation allowing for their use to issue forecasts, so they are usually preferred for operational and real time applications [19]. In Morocco, the long time series is often available only at the daily time step. However, the time of the concentration of floods can be only a few hours in most Mediterranean basins in the case of fast floods, a type of flood prominent in semi-arid regions such as Morocco. Therefore, the application of hydrological modeling is challenged with the lack of the meteorological data at a fine temporal resolution, as is the case in the majority of North African countries. To deal with this problem, satellite precipitation products could be extremely useful, particularly in ungauged catchments or in areas with a low density of hydrometeorological monitoring networks [20; 21; 22] or even over the land areas where the spatial coverage from surface observations is not uniform [23]. In recent years, rainfall products derived from satellites have been developed and released to the scientific community. Among these products, the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) [24], the National Oceanic and Atmospheric Administration Climate Prediction Center morphing technique product (CMORPH) [25], the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis products (TMPA) [26] and the Global Precipitation Measurement (GPM) [27] have been released. Several inter-comparison studies have been performed to evaluate the validity of precipitation satellite estimates in many fields, such as for hydrological simulation and water resources management at different spatial and temporal scales [28; 29; 30; 31; 32; 33; 34; 35; 36]. As the successor of TRMM, the GPM mission has been launched in 2014 by the National Aeronautics and Space Administration (NASA) and the Japanese Aerospace Exploration Agency (JAXA). Compared to TRMM, GPM incorporates three important improvements: (1) greater coverage of climate zones because of the increase in the orbital inclination angle of the GPM satellite from 35\({}^{\circ}\) in the TRMM satellite to 65\({}^{\circ}\), (2) liquid and solid precipitation detection based on \"high-frequency\" passive microwave channels (165.5 and 183.3 GHz) (3) greater sensitivity of dual-frequency precipitation radar (DPR) to light precipitation and snowfall [26; 37; 38]. The GPM products are divided into different categories, the early, late, and final runs corresponding to IMERG-E, IMERG-L and IMERG-F, respectively. These products have a high spatial (0.1\({}^{\circ}\)\(\times\) 0.1\({}^{\circ}\)) and temporal (30 min) resolution within the 60\({}^{\circ}\) N-S latitude band, that could provide precipitation at the adequate spatio-temporal resolutions for flood monitoring. In Morocco, some studies have evaluated the performance of TRMM products. For instance, ref. [39] evaluated four TMPA products (3B42: V6, V7 temp, V7, RTV7) against 125 rain gauges depending on climatic zones and topography in Northern Morocco for the period 1998-2012. They concluded that the TMPA research products (3B42 V6 and V7) performed better than the real-time product (3B42 RT). Further, ref. [22] assessed five different satellite-based precipitation products (TRMM-3B42 v6 and v7, RFE 2.0, PERSIANN-CDR, CMORPH1.0 version 0.x) in north Morocco. They indicated that the TRMM-3B42 v7 product is the closest to rain gauges data and can be used for hydrological modeling. Ref. [40] evaluated The TRMM 3B42 Version 7 product by using rain gauges measurements from 19 stations in the Oum-ErBia basin from 1998 to 2011. They indicated that this satellite product provides poor estimations of rainfall at the daily time scale but improved accuracy at monthly and annual time scale.