Global-scale extreme rainfall frequency analysis
Using data from TRMM and GPM missions.
Enrico Zorzetto
I am a postoctoral researcher in the Atmospheric and Ocean sciences program at Princeton University. I am interested in earth system modelling, stochastic, hydrology, extreme value theory, boundary layer turbulence, remote sensing of rainfall, and nonlinear dynamics.
Recent Work
The Metastatistical Extreme Value (MEV) distribution
Inference on extreme values from small samples.
Atmospheric Boundary Layer turbulent flows
Extreme fluctuations and time reversibility of scalars in ABL flows .
Downscaling and validation of rainfall from satellite measurements
Using statistical downscaling and quantile regression forests.
Publications
- Zorzetto, E., G. Botter, and M. Marani "On the emergence of rainfall extremes from ordinary events." Geophysical Research Letters 43.15 (2016): 8076-8082.
- Zorzetto, Enrico, and Marco Marani. "Downscaling of rainfall extremes from satellite observations." Water Resources Research 55.1 (2019): 156-174.
- Zorzetto, Enrico, and Marco Marani. "Extreme value metastatistical analysis of remotely sensed rainfall in ungauged areas: spatial downscaling and error modelling." Advances in water resources 135, 103483 (2020). .
- Zorzetto, E., A. D. Bragg, and G. Katul. "Extremes, intermittency, and time directionality of atmospheric turbulence at the crossover from production to inertial scales." Physical Review Fluids 3.9 (2018): 094604.
- Zorzetto, Enrico and Laifang Li. "Extremes, intermittency, and time directionality of atmospheric turbulence at the crossover from production to inertial scales." Journal of Hydrometeorology (In press).