News

Award
STAHY Best Paper Award
Our paper "Predicting extreme sub-hourly precipitation intensification based on temperature shifts" was selected as best paper in the field of statistical hydrology by the International Commission on Statistical Hydrology of the International Association of Hydrological Sciences.
We are very excited to attend the STAHY workshop in Victoria Falls next spring to present it.
Jan '26

Invited talk
AlgoEarth: Learning from limited data
The workshop discussed targeted machine learning methods for “small data” problems - when the underlying learning task is highly underdetermined, due to a large problem dimension relative to the size of the training. My contribution dealt with the problem of quantifying extreme precipitation in ungauged locations.
Nov '25

Award
ADIA Lab Best Paper Award in Climate Data Science
Our paper "A Method to Assess and Explain Changes in Sub-Daily Precipitation Return Levels From Convection-Permitting Simulations”, published in Water Resources Research ranked third in the prestigious ADIA Lab Best Paper Award in Climate Data Science. The award, with Nobel laureates in the committee, consists in 100,000$ prize to be divided among the three winning papers.
Jun '25

Publication
Landslide thresholds and probability
Our new paper published in Natural Hazards and Earth System Sciences highlights an important conceptual difference between the duration used in ID thresholds and the duration used in IDF curves that was overlooked by the landslide literature so far.
Dec '25

Invited talk
CFI Workshop on Urban Rainfall in a Warming World
The workshop Urban Rainfall in a Warming World was organized within the Coastal Protection and Flood Resilience Institute (CFI) of Singapore annual symposium. It focused on advancing knowledge on convective storms and rainfall extremes in a changing climate. A great platform to exchange perspectives of how local agencies and authorities worldwide are preparing for intensifying rainfall extremes.
Sep '25

Publication
Doubling extreme summer rainfall in the Alps
In a new paper published in npj Climate and Atmospheric Science, we show that an average temperature increase of 2°C could double the frequency of short-duration summer thunderstorms in the Alpine region: what today happens every half-century could occur every 25 years in the future.
Jun '25

Project funded
HYPES project selected for funding
My HYPES project has been selected for funding within the FIS 3 Consolidator Grant call. This is a rather competitive call in Italy recently established following the spirit of ERC grants. It’s a dream come true: the chance of conducting multidisciplinary, theoretical, exciting research, the kind of research I love the most!
Nov '25

Invited talk
RISE: Final workshop
Thanks Ilaria, Antonio and Isadora for wanting me in the final workshop of their project RISE: Rethinking and Innovating Statistics for Extremes. Being the only non-statistician speaking was a bit scary, though. I hope they enjoyed my contribution, at least it was in line with the "rethinking" advocated by the project.
Jul '25

Award
Jim Dooge Award to the TENAX paper
Our paper "Predicting extreme sub-hourly precipitation intensification based on temperature shifts" has received the 2024 Jim Dooge Award from Hydrology and Earth System Sciences (HESS) as one of the outstanding papers of the year. In this paper, we introduce a new statistical model (TENAX) to predict changes in extreme sub-hourly precipitation using physical covariates.
May '25
HYPES
FIS 3 (MUR)
Toward a physics-informed description of extreme rainfall probability
PTSTORM
MSCA Fellowship
Investigates how extreme hourly precipitation from different storm types scale with temperature
PhD project
CRITICAL
How will the drainage network intermittency in Alpine basins respond to climate change?
Cold Spots
Department of Excellence
We look for frozen water resources where traditional methods excluded any presence of ice
TENAX
Department of Excellence
A model for extreme precipitation that accounts for temperature in a physically consistent manner
Projects
Models
Weibull tail test
Atmospheric physics shows that extreme precipitation probability should approximately decrease as a powered-exponential as precipitation magnitude increases. These codes provide a Monte Carlo test to evaluate whether an available sample is likely drawn from a distribution with powered-exponential (Weibull) tail.
Non-stationary SMEV
Non-stationary implementation of the SMEV model. Maximum likelihood parameter estimation with left-censoring for a nonstationary two-parameter Weibull distribution in which both parameters (may) depend linearly on a covariate. Tests for the statistical significance of the dependences are provided.
Beatrice Carlini
PhD student
Drainage network dynamics under climate change
Yaniv Goldschmidt
Grad student
Climatic conditions favouring permafrost conservation
