A5078143945- Meteorological Phenomena and Simulations
- Climate variability and models
- Hydrology and Watershed Management Studies
- Hydrology and Drought Analysis
- Cryospheric studies and observations
- Precipitation Measurement and Analysis
- Flood Risk Assessment and Management
- Landslides and related hazards
- Soil erosion and sediment transport
- Geophysics and Gravity Measurements
- Hydrology and Sediment Transport Processes
- Soil and Water Nutrient Dynamics
- Energy Load and Power Forecasting
- Aeolian processes and effects
- Climate change and permafrost
- Climate change impacts on agriculture
- Tropical and Extratropical Cyclones Research
- Data Visualization and Analytics
- Pesticide and Herbicide Environmental Studies
- Hydrological Forecasting Using AI
- Coastal wetland ecosystem dynamics
- Wind Energy Research and Development
- ICT in Developing Communities
- Groundwater flow and contamination studies
- Urban Stormwater Management Solutions
University of Padua
2018-2024
University of New Mexico
2020
Abstract. Estimating future short-duration extreme precipitation in mountainous regions is fundamental for risk management. High-resolution convection-permitting models (CPMs) represent the state of art these projections, as they resolve convective processes that are key to extremes. Recent observational studies reported a decrease intensity hourly with elevation. This “reverse orographic effect” could be related which subgrid even CPMs. To quantify reliability projections regions, it thus...
Abstract Reliable projections of extreme future precipitation are fundamental for risk management and adaptation strategies. Convection‐permitting models (CPMs) explicitly resolve large convective systems represent sub‐daily extremes more realistically than coarser resolution models, but present short records due to the high computational costs. Here, we evaluate potential a non‐asymptotic approach, Simplified Metastatistical Extreme Value (SMEV) provide information on change return levels...
Abstract Understanding past changes in precipitation extremes could help us predict their future dynamics. We present a novel approach for analyzing trends and attributing them to the local regime. The relies on separation between intensity occurrence of storms. examine relevant case Eastern Italian Alps, where significant extreme were reported. model is able reproduce observed at all durations 15 min 24 hr, allows quantify return levels. Despite increase storm typical intensity, can be only...
Abstract Quantifying the future probability of sub‐daily extreme precipitation in a changing climate is crucial for risk management, engineering, and insurance. Kilometer‐scale convection‐permitting models (CPMs) represent convective complex terrain more realistically than other models, thereby enhancing representation extremes. This study employs novel statistical approach to evaluate projected changes provides physical interpretation their driving processes. It focuses on...
Climate change adaptation strategies and flood risk management in complex terrain rely on accurate projections of sub-daily precipitation extremes the realistic evaluation associated uncertainty. However, these aspects are still insufficiently analysed, especially concerning most updated convection-permitting climate models (CPM). This study provides a comprehensive approach to assess performance CPMs by analysing bias uncertainty extreme precipitation. We evaluate north-eastern Italian Alps...
The separation of storms into physically meaningful classes, including the key distinction between convective and non-convective events, is crucial for advancing precipitation science. Indeed, each these classes may necessitate different modelling strategies, or distinct bias adjustment procedures climate model simulations. Here, we present a large-scale study that aimed at achieving this only based on information from timeseries. We focused vast set sub-hourly rain gauge records collected...
Understanding the scale-dependent behavior of extreme precipitation in mountainous basins is critical for improving effective adaptation strategies to rising flood risks. This study investigates future changes sub-daily catchment scale across Great Alpine Region. In particular, we examine how information about projected point design can be transferred catchment-scale with same return period.Projections are derived from a 9-member ensemble convection-permitting climate models (CPMs) provided...
Rainfall is very commonly experienced by most people, often seen as a constraint. Anyway, usually people are not really paying attention to it, being too busy with their daily life. As rainfall and hydrology scientists, we aim reach out the general public increase knowledge in an area of widespread misinformation. More importantly, enhance curiosity awareness geophysical environment. In order contribute this much needed efforts, designed implemented series multisensory experiences centered...
Alpine regions are highly susceptible to rainfall-induced soil erosivity and its changes in a warming climate. Thanks their high spatio-temporal resolution ability explicitly resolve convection, recently developed convection-permitting climate models (CPMs) outperform regional capturing intense sub-daily rainfall. Thus, these offer potential for the simulation of rainfall projection climate.This study evaluates multi-model CPM ensemble provide reliable data assessing erosivity. This...
The assessment of extreme precipitation statistics is essential for managing flood hazards and developing effective climate change adaptation strategies. These design values are typically estimated through the frequency analysis data, with limited understanding their generative atmospheric phenomena. We aim to go beyond statistical extrapolation observed extremes value distributions towards enhancing physical comprehension: this may be beneficial improving our estimates probability...
Rising temperatures are increasing the liquid fraction of precipitation in mountainous regions. This change, added to other changes dynamic and thermodynamic processes generating heavy precipitation, could determine a potential intensification flood regime, posing hazards population. In this study we aim at quantifying projected change sub-daily extremes Greater Alpine Region. We use an ensemble convection-permitting climate models (CPM) provided by CORDEX-FPS Convection project 1 hour...
Localised surface properties are essential in assessing wind resources for renewable energy development. Here, we estimate extreme winds using three convection-permitting models (CPMs) through a systematic surface-based categorisation Central Europe. We developed comprehensive classification framework integrating fundamental parameters: climate regimes (Koppen-Geiger), aerodynamic roughness length (Z0), and slope variability. The methodology combines these parameters into distinctive...
Mountainous catchments often experience snowmelt-induced landslides and debris flows triggered by soil saturation due to intense rapid snowmelt during spring early summer. These events are influenced snowpack dynamics, terrain morphology, the hydrological processes associated with melting process. While typically exhibit gradual initiation steady water input, they can mobilize large volumes of sediment (and possibly woody material), posing significant hazards downstream areas. In spite their...
Extreme sub-daily precipitation can trigger natural disasters such as flash floods, urban and debris flows, causing significant damage to infrastructure, homes, livelihoods. With rising global temperatures, the atmosphere’s increased moisture-holding capacity enhances potential for more intense frequent extreme events. Sub-daily extremes are already increasing in magnitude, associated recurrence intervals decreasing. A key component of climate change adaptation resilience is...
Despite numerous past and ongoing efforts towards characterizing the propagation of rainfall estimation uncertainties in rainfall-runoff hydrologic models, modelers continue to struggle identify main features which impact way errors are transmitted simulated runoff. With this work, we introduce concept elasticity function, i.e. measure how responsive event runoff is a change rainfall. We analytically derive functions for two well-known generation model types: Probability Distributed Model...