Estimating the frequency of occurrence of rainfall extremes is of central importance to understand their impacts on human society and the environment, and for designing resilient mitigation and adaptation measures.
The key objective of this project is to obtain reliable estimates of extreme rainfall events magnitude and frequency using satellite-sensed rainfall fields from the Tropical Rainfall Measurement Mission (TRMM) and the Global Precipitation Measurement (GPM) mission
For this reason, we employ recent results to characterize the frequency of extreme rainfall events (the Metastatistical Extreme Value Distribution, MEVD) and scaling properties from the theory of random fields to study extreme rainfall from satellite measurements. A python package for extreme value analysis of rainfall is available on GitHub .
The project is funded by the National Aeronautics and Space Administration (NASA) with NASA Earth and Space Science Fellowship number 17-EARTH17F-0270.
Zorzetto, E., G. Botter, and M. Marani (2016), On the emergence of rainfall extremes from ordinary events, Geophys. Res. Lett., 43, 8076–8082, doi:10.1002/2016GL069445.