## 2 Material and Methods
### Data from the Global Precipitation Measurement Satellites  
By means of the IMERG algorithm, the GPM mission combines data from all passive microwave instruments in the GPM satellite constellation to provide precipitation estimates, which are then merged and interpolated with estimates from calibrated infrared observations and other potential sensors at a spatial resolution of 0.1\({}^{\circ}\)\(\times\) 0.1\({}^{\circ}\) and temporal resolution of 30 min across the globe [39].  
In this study, the satellite retrievals were obtained from the NASA EarthData website in HDF5 format, and then converted to TIFF format using ArcGis 10.1. Then, the precipitation data--estimated in mm/h every 30 min, for each pixel enclosing the rainfall-gauging  
\begin{table}
\begin{tabular}{r r r r r r} \hline \hline  & **ANA Code** & **Station** & **Longitude** & **Latitude** & **Altitude (m)** & **Mean Annual Rainfall (mm)** \\ \hline
20 & 1749003 & Morrinhos & \(-\)49.115 & \(-\)17.733 & 808 & 1423 \\
21 & 1749004 & Pontalina & \(-\)49.442 & \(-\)17.517 & 650 & 1401 \\
22 & 1749005 & Piracanjuba & \(-\)49.027 & \(-\)17.289 & 779 & 1789 \\
23 & 1749009 & Crominia & \(-\)49.383 & \(-\)17.285 & 694 & 1397 \\
24 & 1750000 & Barra do Monjolo & \(-\)50.181 & \(-\)17.732 & 458 & 1401 \\
25 & 1750001 & Fazenda Nova do Turvo & \(-\)50.289 & \(-\)17.079 & 529 & 1274 \\
26 & 1750003 & Rio Verdao Bridge & \(-\)50.556 & \(-\)17.541 & 526 & 1342 \\
27 & 1750004 & Ponte Rodagem & \(-\)50.682 & \(-\)17.325 & 551 & 1325 \\
28 & 1750008 & Fazenda Paraiso & \(-\)50.774 & \(-\)17.466 & 643 & 1359 \\
29 & 1750013 & Parauna & \(-\)50.447 & \(-\)16.949 & 684 & 1467 \\
30 & 1751001 & Ponte Rio Doce & \(-\)51.397 & \(-\)17.856 & 751 & 1460 \\
31 & 1751002 & Benjamin Barros & \(-\)51.892 & \(-\)17.695 & 726 & 1503 \\
32 & 1751004 & Montividiu & \(-\)51.077 & \(-\)17.365 & 734 & 1426 \\
33 & 1752006 & Bom Jardim & \(-\)52.17 & \(-\)17.718 & 894 & 1520 \\
34 & 1848000 & Monte Alegre de Minas & \(-\)48.869 & \(-\)18.872 & 732 & 1441 \\
35 & 1848004 & Fazenda Cachoeira & \(-\)48.782 & \(-\)18.698 & 742 & 1279 \\
36 & 1848006 & Tupaguara & \(-\)48.691 & \(-\)18.601 & 904 & 1446 \\
37 & 1848007 & Crombazul & \(-\)48.859 & \(-\)18.243 & 559 & 1102 \\
38 & 1848008 & Brillante & \(-\)48.903 & \(-\)18.492 & 795 & 1469 \\
39 & 1848009 & Xapetuba & \(-\)48.584 & \(-\)18.863 & 878 & 1434 \\
40 & 1849000 & Ituiutaba & \(-\)49.463 & \(-\)18.941 & 498 & 1366 \\
41 & 1849002 & Ipiacu & \(-\)49.949 & \(-\)18.692 & 444 & 1397 \\
42 & 1849006 & Avariguara & \(-\)49.07 & \(-\)18.772 & 794 & 1410 \\
43 & 1849016 & Ponte Meia Ponte & \(-\)49.611 & \(-\)18.339 & 483 & 1410 \\
44 & 1850001 & Fazenda Alianca & \(-\)50.031 & \(-\)18.105 & 451 & 1449 \\
45 & 1850002 & Quirinópolis & \(-\)50.522 & \(-\)18.501 & 443 & 1387 \\
46 & 1850003 & Maurilandia & \(-\)50.337 & \(-\)17.98 & 479 & 1364 \\
47 & 1851001 & Campo Alegre & \(-\)51.094 & \(-\)18.518 & 569 & 1698 \\
48 & 1851004 & Pombal & \(-\)51.497 & \(-\)18.093 & 651 & 1598 \\
49 & 1949003 & Gurinhatá & \(-\)49.788 & \(-\)19.213 & 527 & 1350 \\
50 & 1949006 & Ponte do Prata & \(-\)49.697 & \(-\)19.035 & 455 & 1418 \\ \hline \end{tabular}
\end{table}
Table 1: _Cont._stations under study--were extracted. Finally, the data were aggregated to the daily time scale, using the interval from 7:00 am of one day until 6:59 am of the next day as a reference for matching the measurement interval of the gauges.