## 5 Conclusions and Perspectives
PANTHERE gives closer results to rain gauges than OPERA for radar precipitation product, DATABOURG shows the most promising results with low biases over parts of France, and this dataset can be used for nowcasting applications. Additionally, CMORPH, both IMERG products and both GSMaP-NRT products, showed really good representation of both events. The short-latency products (PDIR, GHE, CMORPH-RT, and GSMaP-Nowproducts) showed poorer results but can be used to monitor fast-moving precipitation events. Ideas to combine the high spatiotemporal resolution characteristics of IR-based products and the higher precision of MW-based products can be explored further. It is worth noting that the differences between the products of the same family (IMERG, GSMaP-Now, GSMaP-NRT, and CMORPH) were not so marked. From the results shown, we can conclude that it is not essential to wait for the product with the highest latency for a nowcasting application. However, further studies over a longer period of time are advised. Regarding perspectives for this study, other more-adapted spatialized metrics should be exploited in order to better quantify the representation of rain events, such as the use of the Probability of Detection, the False Alarm Ratio, or the Critical Success Index. This study can also be performed by using other methods of comparison such as the pixel-to-pixel method by interpolating the observed rain rates to a gridded dataset or by using Kriging methods. But this work must be conducted after a careful reflection on the remapping or interpolation method used to obtain the identical grid for all products. Further studies are also encouraged to conduct over a longer study period, over more case studies, or even over other study areas in order to test the robustness of the conclusion's made on the performance of satellite precipitation products. The following supporting information can be downloaded at: [[https://www.mdpi.com/article/10.3390/atmos14121726/s1](https://www.mdpi.com/article/10.3390/atmos14121726/s1)]([https://www.mdpi.com/article/10.3390/atmos14121726/s1](https://www.mdpi.com/article/10.3390/atmos14121726/s1)), Figures S1-S6 represents the local differences in the rain amounts and distributions obtained with IMERG-Early and IMERG-Late (Figure S1), CMORPH-RT and CMORPH (Figure S2), GSMaP-Now and GSMaP-Now-GC (Figure S3), GSMaP-NRT and GSMaP-NRT-GC (Figure S4), GSMaP-Now and GSMaP-NRT (Figure S5) and GSMaP-Now-GC and GSMaP-NRT-GC (Figure S6). Conceptualization, J.-L.B., C.P., E.B. and A.C.; methodology, J.-L.B., C.P. and A.C.; software, A.C.; validation, J.-L.B., C.P., E.B. and A.C.; formal analysis, J.-L.B., C.P. and A.C.; investigation, J.-L.B., C.P. and A.C.; resources, J.-L.B., C.P. and E.B. ; data curation, A.C.; writing--original draft preparation, J.-L.B., C.P. and A.C.; writing--review and editing, J.-L.B., C.P., E.B. and A.C.; visualization, A.C.; supervision, J.-L.B., C.P. and E.B. ; project administration, J.-L.B., C.P. and E.B. ; funding acquisition, J.-L.B., C.P. and E.B. All authors have read and agreed to the published version of the manuscript. The MAPS project is funded by the France Relance Preservation de l'emploi de Recherche et Developpement programme of the French Research Agency (ANR) and the company Weather-Measures under the grant number (ANR21-PRRD-0009-01). Not applicable.