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Francesco Marra

Associate Professor of Atmospheric Physics

Department of Geosciences

University of Padova

An atmospheric physicist at the interface with
hydrology, climatology, geomorphology, and statistics
​​

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News

News

STAHY

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

AlgoEarth

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

ADIA Lab best paper award 2024

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

NHESS

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

CFI Workshop on Urban Rainfall in a Warming World

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

A 2°C warming can double the frequency of extreme summer downpours in the Alps

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

FIS logo

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

RISE workshop

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

Jim Dooge Award ceremony 2024

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

Projects
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

INTENSE

PRIN2022 (MUR)

Analysis of extreme precipitation over Italy from remote sensing data

RESILIENCE

CARIPARO

An integrated approach to assess the impact of climate change on extreme precipitation and wind

Projects

Models

Models

SMEV

SMEV provides a robust framework for frequency analyses of extremes and is particularly well-suited for extreme precipitation. It relies on non-asymptotic assumptions based on atmospheric physics and can handle extremes emerging from multiple underlying processes. 

TENAX

With the TENAX model, one can project sub-hourly precipitation extremes at different return levels based on daily scale projections from climate models in any location globally where observations of sub-hourly precipitation data and near-surface air temperature are available.

TENAX-CDS

TENAX-CDS computes short-duration IDF curves and design storms for flash flood assessments under increasing temperatures based on the TENAX framework. Design storms are created using the Chigago design storm appraoch. The framework requires a minimal set of parameters and input data.

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.

Group Members
Dr. Matteo Darienzo

Post Doc

Analysis of extreme precipitation using remote sensing observations // Bayesian implementation of the TENAX model

Dr. Rajani Kumar Pradhan

MSCA Postdoctoral Fellow

PTSTORM: Extreme precipitation response to temperature variations: the role of storm types and global circulation patterns

Beatrice Carlini

PhD student

Drainage network dynamics under climate change

Yaniv Goldschmidt

Grad student

Climatic conditions favouring permafrost conservation

Team

Contacts
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