## 1 Introduction
[26] analyzed the influence of the microphysical, cumulus, planetary boundary layer (PBL), and land-surface parameterizations on the WRF model simulations of the same medicine. The study showed that the most critical schemes for a proper TLC forecast were first the microphysics and second the cumulus parameterizations, while the PBL and land-surface schemes were only of minor relevance to the medicane simulations. They also concluded that the variability in the TLC prediction caused by changing the initialization time of the simulations is similar to that of changing the microphysical parameterization scheme. [PERSON] et al. [27] also tested the model sensitivity to different physical parameterization schemes for the case of Medicare Qendresa (7-8 November 2014), finding somewhat contrarily to [PERSON] et al. [26] that the PBL and surface layer schemes had an important influence on the medicane intensity and the cumulus scheme on its track, while the microphysical parameterization impacted mainly the medicane duration. Nonetheless, both studies were in agreement with the seeming inexistence of an optimum combination of physical parameterizations that perform well in all aspects of the medicane forecast. [PERSON] et al. [28] studied the sensitivity to varying both the physical parameterizations and the model horizontal resolution, indicating that higher-resolution simulations improved the TLC track and tropical phase state but not necessarily the intensity. However, their study showed less spread in TLC intensity and track in the microphysics category than in the other parameterization categories. While employing a fully coupled ocean-atmosphere model, [PERSON] et al. [29] evidenced its remarkable sensitivity to the PBL parameterization and IBCs for the case of Medicare Rolf (6-9 November 2011). [PERSON] et al. [30] simulated the Western Mediterranean climate for a two-decade period, finding that the frequency of medicane formation depended on the cumulus parameterization while the duration of intense medicanes was instead controlled by the microphysics scheme choice. Altogether, it seems clear that the microphysics parameterization plays a critical role in the correct prediction of medicanes, even though an optimal model configuration is still missing. For the case of tropical cyclones, many studies have shown the relevance of the model microphysics especially for an accurate forecast of their intensity, whereas it only has a minor impact on their track [31; 32; 33]. With the advent of the international Global Precipitation Measurement (GPM) mission [34; 35], a new set of global precipitation products has become available for meteorological research. The GPM satellite constellation is made up of an ever-changing number of low Earth orbit (LEO) satellites equipped with cross-track and conical passive microwave (PMW) radiometers. The core of the constellation is the NASA/JAXA GPM Core Observatory (GPM-CO), carrying both the dual-frequency precipitation radar (DPR) at Ku/Ka-band and the GPM Microwave Imager (GMI). With the objective of exploiting this new wealth of satellite data, a few studies have explored its usage to analyze and improve the understanding of some of the most extreme heavy precipitation events that occurred in recent years in the Mediterranean region, including TLCs. For instance, [PERSON] et al. [36] demonstrated the value of using precipitation retrievals from the GPM constellation for monitoring the evolution of different severe weather systems, including Medicare Qendresa over the sea. Their subsequent study ([PERSON] et al. [37]) shed more light on the use of the GPM capabilities for monitoring medicane development, in this case for TLC Numa (15-19 November 2017), while [PERSON] et al. [38] showed the skillfulness of a single GPM-CO overpass over a violent hailstorm that developed offshore to capture in fine detail basic characteristics of the exceptional event, which was completely missed by NWP models. Later, [PERSON] et al.