A5033359035- Meteorological Phenomena and Simulations
- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Climate variability and models
- Hydrology and Drought Analysis
- Precipitation Measurement and Analysis
- Cryospheric studies and observations
- Landslides and related hazards
- Disaster Management and Resilience
- Climate change and permafrost
- Tropical and Extratropical Cyclones Research
- Soil Moisture and Remote Sensing
- Complex Systems and Time Series Analysis
- Winter Sports Injuries and Performance
- Water-Energy-Food Nexus Studies
- Arctic and Antarctic ice dynamics
- Hydrological Forecasting Using AI
- Remote Sensing and LiDAR Applications
- Fire effects on ecosystems
- Agricultural risk and resilience
- Environmental Monitoring and Data Management
- Radio Wave Propagation Studies
- Plant Water Relations and Carbon Dynamics
- Water Systems and Optimization
- Urban Planning and Valuation
CIMA Research Foundation
2016-2025
University of Genoa
2016-2025
Ingegneria dei Sistemi (Italy)
2016-2024
Chartered Institute of Management Accountants
2006-2015
Sapienza University of Rome
2014
Regione Puglia
2011
University of Basilicata
2005-2006
Abstract Snow in mountainous regions is a key water resource from local to continental scales. However, the link between increasingly frequent snow droughts and socio-hydrologic impacts headwaters lowlands not fully understood. To untangle this relationship, here we combine climate reanalyses with range of data terrestrial storage, streamflow, emergency water-use restrictions for archetypal 2022 drought Po basin (Italy). We find that persistent high-pressure ridge during winter 2021–2022...
Abstract. We present IT-SNOW, a serially complete and multi-year snow reanalysis for Italy (∼ 301 × 103 km2) – transitional continental-to-Mediterranean region where plays an important but still poorly constrained societal ecological role. IT-SNOW provides ∼ 500 m daily maps of water equivalent (SWE), depth, bulk density, liquid content the initial period 1 September 2010–31 August 2021, with future updates envisaged on regular basis. As output operational chain employed in real-world civil...
The increasing frequency and severity of extreme natural events, along with their escalating impacts, highlight the urgent need for robust tools to assess strengthen national capacities disaster preparedness recovery. In this context, paper introduces one these tools, called Recovery Gap Index (RGI), a comprehensive composite index designed quantify evaluate post-extreme event response recovery capabilities at country level. tool addresses systematic approach resilience impacts consecutive...
Abstract A method is introduced for stochastic rainfall downscaling that can be easily applied to the precipitation forecasts provided by meteorological models. Our approach, called Rainfall Filtered Autoregressive Model (RainFARM), based on nonlinear transformation of a Gaussian random field, and it conserves information present in fields at larger scales. The procedure tested two radar-measured intense events, one midlatitude other Tropics, shown synthetic generated RainFARM have...
The use of synthetic aperture radar (SAR) data is presently well established in operational services for flood management. However, some events might be missed because the limited area that can observed through a SAR image and need programming acquisitions advance. To tackle these problems, it possible to setup system able trigger based on forecasts take advantage various satellite sensors are operating. On behalf Italian Civil Protection Department (DPC), prototype this kind has been...
On the 9th October, 2014 a strong event hit central part of Liguria Region producing disastrous consequences to city Genoa where Bisagno Creek flooded causing one death and lots damage. The precipitation pattern responsible for had peculiar spatial temporal characteristics that led an unexpected flash flood. sequence rainfall intensities particular severity showers at small scale, together with size sub-basin by most intense were unfortunate concurrent ingredients "almost perfect" peak flow...
In recent years, continuous improvements have been made in weather forecasting and flood prediction with great benefit from Early Warning Systems (EWSs). Despite the quest for innovation scientific user communities, EWSs remain based mostly on hazard forecast, information possible consequences potential impacts is generally missing. this work, a methodology quantitative real-time impact assessment flash floods presented. The uses multi-model ensemble approach considers soil moisture...
A fully automated processing chain for near real-time mapping of burned forest areas using Sentinel-2 multispectral data is presented. The acronym AUTOBAM (AUTOmatic Burned Areas Mapper) used to denote it. conceived work daily at a national scale the Italian territory support Civil Protection Department in management one major natural hazards, which affects territory. includes procurement component, an image algorithm, and delivery map end-user. component searches every day most updated...
Development of an operational flood forecasting system and assessment forecast uncertainty are the principal topics this paper. Flood procedures developed for a Mediterranean environment. A procedure that uses Ensemble Prediction System as input semidistributed hydrologic model is presented. rainfall downscaling used to bridge scale gap between numerical weather prediction output modeling input. The results illustrated November 1994 Piedmont flood.
We explore the performance of three types stochastic models used for spatial rainfall downscaling and assess their ability to reproduce statistics precipitation fields observed during GATE radar experiment. consider a bounded multifractal cascade, an autoregressive linear process passed through nonlinear static filter (sometimes called meta‐Gaussian model), model based on presence individual cells with power law profile. As test we use low‐order moments amplitude distribution, distribution...
We propose a new methodology for evaluating predictive cumulative distribution functions (CDF) of ground effects flood forecasting in mountainous environments. The is based on the proper nesting models suitable probabilistic meteorological forecast, downscaling rainfall, and hydrological modeling order to provide prediction heavy rainfall events. Different ways are defined as function ratio between three typical scales: scales at which processes satisfactory represented by models, processes,...
Gaining a deeper physical understanding of the high‐impact weather events which repeatedly affected Western Mediterranean Basin in recent years on coastal areas eastern Spain, s outhern France and northern Italy is strongly motivated by social request to reduce casualties economical impacts due these highly localized hardly predictable phenomena. In October 2014, an extreme event hit Genoa city centre, less than 3 after very similar event, occurred November 2011. Taking advantage...
PROPAGATOR is a stochastic cellular automaton model for forest fire spread simulation, conceived as rapid method risk assessment. The uses high-resolution information such topography and vegetation cover considering different types of vegetation. Input parameters are wind speed direction the ignition point. Dead fine fuel moisture content firebreaks—fire fighting strategies can also be considered. probability depends on type, slope, speed, content. fire-propagation determined through...
Abstract. Trustworthy estimates of snow water equivalent and depth are essential for resource management in snow-dominated regions. While ensemble-based data assimilation techniques, such as the Ensemble Kalman Filter (EnKF), commonly used this context to combine model predictions with observations therefore improve performance, these ensemble methods computationally demanding thus face significant challenges when integrated into time-sensitive operational workflows. To address challenge, we...
I-CHANGE addresses climate challenges by actively involving communities in environmental monitoring activities. The objective of the project is to empower individuals and make informed decisions that reduce their footprint, thus contributing change adaptation mitigation strategies. equips with tools, sensors allowing collect analyze data assess impact personal community choices on environment. digital camera, cooperation Unione Italiana Fotoamatori (UIF, https://www.uif-net.com/),...
In snow-dominated regions, today’s snow is tomorrow’s water, making reliable estimates of water equivalent (SWE) and depth crucial for resource management. this context, data assimilation a powerful tool to optimally combine models measurements, enhancing accuracy reliability. Ensemble-based techniques like the Ensemble Kalman Filter (EnKF) Particle (PF) are often used but their deployment in real-time applications can make it challenging ensure timely accurate results....
A long-standing intellectual partnership between Franco Siccardi (1942 – 2024) professor at University of Genoa and founder CIMA Research Foundation, artist Beppe Schiavetta has allowed for the exploration relevance historical narratives in context today’s environmental crises. One significant collaboration resulted "Lament Ur," an ancient Sumerian text recounting destruction city Ur, likely caused by drought social unrest. translated this tragedy into evocative...
Abstract. The prediction of the small-scale spatial-temporal pattern intense rainfall events is crucial for flood risk assessment in small catchments and urban areas. In absence a full deterministic modelling rainfall, it common practice to resort use stochastic downscaling models generate ensemble predictions be used as inputs rainfall-runoff models. this work we present an application new procedure, called RainFARM, precipitation event predicted by limited-area meteorological model Lokal...
Abstract The forecast of rainfall-driven floods is one the main themes analysis in hydrometeorology and a critical issue for civil protection systems. This work describes complete hydrometeorological system small- medium-sized basins has been designed operational applications. In this case, because size target catchments to properly account uncertainty sources prediction chain, authors apply probabilistic framework. approach allows delivering streamflow that valuable decision makers uses as...
The city of Genoa, Italy, nestled between the Tyrrhenian Sea and Apennine Mountains, was rocked by severe flash foods on 4 November 2011. About 500 millimeters rain—a third average annual rainfall—fell in 6 hours, killing six people devastating center. A storm this intensity is considered to be a multicentennial‐return‐period event. torrential rainfall inflicted worst disaster Genoa has experienced since October 1970, when similar event killed 25 people. peculiar fine‐scale properties...
The shape of rainfall cells is a crucial ingredient stochastic point‐process models that describe intense precipitation events. Here we study the individual rain measured during TOGA/COARE and GATE radar experiments. We find that, on average, intensity decreases exponentially from cell's center. An exponential profile provides good estimate in bulk cell. By contrast, standard assumption Gaussian leads to significant underestimation central portion cell associated hydrologic response.