A5043745299- Hydrology and Watershed Management Studies
- Meteorological Phenomena and Simulations
- Climate variability and models
- Cellular Automata and Applications
- Flood Risk Assessment and Management
- Hydrology and Drought Analysis
- Advanced Data Storage Technologies
- Lattice Boltzmann Simulation Studies
- Plant Water Relations and Carbon Dynamics
- Oceanographic and Atmospheric Processes
- Hydrology and Sediment Transport Processes
- Marine and coastal ecosystems
- Soil and Water Nutrient Dynamics
- Precipitation Measurement and Analysis
- Cryospheric studies and observations
- Water-Energy-Food Nexus Studies
- Atmospheric and Environmental Gas Dynamics
- Hydrological Forecasting Using AI
- Fire effects on ecosystems
- Solar Radiation and Photovoltaics
- Water Systems and Optimization
- Case Reports on Hematomas
- Tropical and Extratropical Cyclones Research
- Water resources management and optimization
- Fish Ecology and Management Studies
University of Calabria
2016-2025
University of East London
2023
Institute of Atmospheric Sciences and Climate
2020
Abstract With the aim of developing a fully coupled atmosphere‐hydrology model system, Weather Research and Forecasting (WRF) was enhanced by integrating new set hydrologic physics parameterizations accounting for lateral water flow occurring at land surface. The WRF‐Hydro modeling system applied 3 year long simulation in Crati River Basin (Southern Italy), where output from WRF/WRF‐Hydro compared to that provided original WRF model. Prior performing land‐atmosphere simulations, stand‐alone...
The Adriatic Sea, characterized by unique local features in comparison to the broader Mediterranean stands out as a highly susceptible region climate change. In this context, our study involves focused downscaling approach, concentrating on water cycle. This encompasses integrated modeling at mesoscale, covering atmosphere, hydrology, and marine general circulation. period spans from 1992 2050, considering high emission scenario RCP8.5. We aim evaluating how river release projection affects...
The Hargreaves equation (HE) is the most reliable and diffused temperature-based method for estimate of reference crop evapotranspiration ETo in areas with limited meteorological data. Several studies proposed its further enhancement by adopting correction equations recalibrating parameters, specifically empirical coefficient, C=0.0023. In this paper, a local recalibration southern Italy shown, taking as Food Agriculture Organization United Nations (FAO) Penman-Monteith (PM) applied over 137...
Abstract Simulations from 13 highly resolved regional climate models run within the Coordinated Downscaling Experiment initiative at 0.11° resolution with boundary forcings five different Coupled Model Intercomparison Project Phase 5 global are employed to derive future change signal for Greater Alpine Region (GAR) and four smaller investigation areas. Evaluation statistics include mean temperature precipitation, frequency of days precipitation over 1 mm 15 mm, 90% quantile distribution,...
Abstract ScaleX is a collaborative measurement campaign, collocated with long-term environmental observatory of the German Terrestrial Environmental Observatories (TERENO) network in mountainous terrain Bavarian Prealps, Germany. The aims both TERENO and include modeling land surface–atmosphere interactions energy, water, greenhouse gases. motivated by recognition that intensive observational research over years or decades must be based on well-proven, mostly automated systems, concentrated...
Abstract. The land surface and the atmospheric boundary layer are closely intertwined with respect to exchange of water, trace gases, energy. Nonlinear feedback scale-dependent mechanisms obvious by observations theories. Modeling instead is often narrowed single compartments terrestrial system or bound traditional viewpoints definite scientific disciplines. Coupled hydrometeorological modeling systems attempt overcome these limitations achieve a better integration processes relevant for...
Abstract. Operational meteo-hydrological forecasting chains are affected by many sources of uncertainty. In coastal areas characterized complex topography, with several medium-to-small size catchments, quantitative precipitation forecast becomes even more challenging due to the interaction intense air–sea exchanges orography. For such areas, which quite common in Mediterranean Basin, improved representation sea surface temperature (SST) space–time patterns can be particularly important. The...
Abstract Looking across a landscape, river networks appear deceptively static. However, flowing streams expand and contract following ever-changing hydrological conditions of the surrounding environment. Despite ecological biogeochemical value rivers with discontinuous flow, deciphering temporary nature quantifying their extent remains challenging. Using unique observational dataset spanning diverse geomorphoclimatic settings, we demonstrate existence general hierarchical structuring network...
Crati River Basin, Southern Italy, Central Mediterranean. We evaluate the combined effect of multiple global and regional climate model (GCM-RCM) combinations bias correction (BC) methods on hydrological impact projected change. Under representative concentration pathway RCP4.5, 15 EURO-CORDEX members, combining 6 GCMs five high-resolution (0.11°) RCMs, provide meteorological input for a spatially distributed model. RCM-derived data are uncorrected corrected through three empirical methods,...
Abstract. Many recent studies indicate climate change as a phenomenon that significantly alters the water cycle in different regions worldwide, also implying new challenges resource management and drought risk assessment. To this end, it is of key importance to ascertain quality regional models (RCMs), which are commonly used for assessing at proper spatial resolutions future impacts on hydrological events. In study, we propose statistical methodological framework assess EURO-CORDEX RCMs...
In spite of the prevalence temporary rivers over a wide range climatic conditions, they represent relatively understudied fraction global river network. Here, we exploit well-established hydrological model and derived distribution approach to develop coupled probabilistic description for dynamics catchment discharge corresponding active network length. Analytical expressions flow duration curve (FDC) stream length (SLDC) were used provide consistent classification streamflow regimes in...
Forest fire prevention, forecast, and control are becoming increasingly popular issues, in large part because of climate change. While several early warning systems use remotely sensed images collected by optical non-optical sensors, as well supervised AI (Artificial Intelligence) algorithms to detect fires on, the development dissemination reliable, low-cost sensors together with advancement IoT (Internet Things) paradigm make it possible apply monitoring techniques relying on widespread...
Water scarcity and drought, worsened by climate change, are growing threats to both the economy society, particularly in hotspots like Mediterranean Basin. Effective water resources management requires timely forecasting implement appropriate countermeasures. Seasonal forecasts, based on knowledge-based models, essential for managing drought risks. These forecasts have become more reliable with advancements weather modeling systems. Currently, global seasonal provided various centers, such...
Drought is a multifaceted natural hazard characterized by complex mechanisms, diverse contributing factors, and slow onset, affecting food, water, energy, ecosystem security. Brazil, like many regions worldwide, has faced significant drought challenges over the past decade, impacting basins that play critical role in water supply, hydropower generation, agriculture. This study explores application of Machine Learning (ML) algorithms Two-variate Standardized Index (TSI) to forecast conditions...
Drought is gaining global attention due to its irrefutable and irreparable damages. Aiming at exploiting the great potential of remote sensing platforms facilitate drought monitoring characterization, even through multi-sensor-based approaches, this contribution underscores efficacy harmonizing Landsat Sentinel data, driven by high-resolution drone imagery, monitor conditions on a local scale over large farm located in Calabria Region, southern Italy.To accomplish monitoring, Normalized...
Projecting climate change impact in southern Italy is particularly challenging because this region located the center of Mediterranean basin, which a recognized hotspot, and characterized by steep complex orography requiring analysis at high spatial resolution. Therefore, models convection-permitting scale considerably improve ability to simulate water cycle trends that region, especially severe events.This note introduces modeling framework on simulations are being carried out for using...
Climate change exacerbates wildfire risks in regions like the Mediterranean, where rising temperatures and prolonged droughts create ideal fire conditions. Adapting to this scenario requires implementing advanced risk management strategies that leverage cutting-edge technologies. Wildfire early warning systems are crucial tools for detecting fires at an stage, helping prevent potential future damage. This paper proposes a smart CO2 sensor network-based system, relying on platform enables...
Abstract. Saharan Dust Outbreaks frequently hit the Mediterranean Basin, lasting for a few days. These phenomena have various implications ecosystem of entire basin, affecting atmosphere, lithosphere, biosphere, hydrosphere, and cryosphere. Moreover, they cause numerous hazards to human society, especially concerning environment health, are particularly significant people living in “Dust Belt” around Sahara, including nearby areas such as Basin. This study demonstrates that continuous dust...
Abstract. Understanding the evolving patterns of intense rainfall in Mediterranean under climate change is an urgent challenge. An analysis annual total and maximum one-day precipitation from 1955 to 2023 performed with ERA5-Land dataset over EURO-CORDEX domain reveals emerging contrasting trends along much northern coast, heavy events increasing decreasing. independent investigation on a ground-based dense monitoring network southern Italy confirms results. We focus this representative...