A5031333608- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Meteorological Phenomena and Simulations
- Cryospheric studies and observations
- Hydrology and Drought Analysis
- Hydrological Forecasting Using AI
- Precipitation Measurement and Analysis
- Geophysics and Gravity Measurements
- Climate variability and models
- Energy Load and Power Forecasting
- Landslides and related hazards
- Climate change and permafrost
- Soil Moisture and Remote Sensing
- Agriculture and Rural Development Research
- 3D Modeling in Geospatial Applications
- Soil Geostatistics and Mapping
- Agroforestry and silvopastoral systems
- demographic modeling and climate adaptation
European Centre for Medium-Range Weather Forecasts
2021-2024
University of Bologna
2001-2006
The land-surface developments of the European Centre for Medium-range Weather Forecasts (ECMWF) are based on Carbon-Hydrology Tiled Scheme Surface Exchanges over Land (CHTESSEL) and form an integral part Integrated Forecasting System (IFS), supporting a wide range global weather, climate environmental applications. In order to structure, coordinate focus future benefit from international collaboration in new areas, flexible system named ECLand, which would facilitate modular extensions...
Abstract Global hydrological reanalyses are modelled datasets providing information on river discharge evolution everywhere in the world. With multi‐decadal daily timeseries, they provide long‐term context to identify extreme events such as floods and droughts. By covering majority of world's land masses, can fill many gaps in‐situ observational data, especially global South. These impede knowledge both status future hamper development reliable early warning systems for hydrological‐related...
Abstract. Streamflow forecasts provide vital information to aid emergency response preparedness and disaster risk reduction. Medium-range are created by forcing a hydrological model with output from numerical weather prediction systems. Uncertainties unavoidably introduced throughout the system can reduce skill of streamflow forecasts. Post-processing is method used quantify overall uncertainties in order improve usefulness The post-processing that within operational European Flood Awareness...
Abstract. Since 1950, anthropogenic activities have altered the climate, land cover, soil properties, channel morphologies, and water management in river basins of Europe. This has resulted significant changes hydrological conditions. The availability consistent estimates flow at global continental levels is a necessity for assessing cycle. To overcome limitations posed by observations (incomplete records, inhomogeneous spatial coverage), we simulate discharge Europe period 1951–2020 using...
Hydrological modeling has entered a new era in recent years, largely driven by the curation of extensive datasets and availability open-source machine learning libraries. While traditional physically based models have been key to improving our understanding hydrological systems establishing early warning systems, they often face challenges such as high computational costs requiring simplifications complex processes. Conversely, methods, despite potential pitfalls generating unphysical...
River discharge directly affects the water-food-energy-environment nexus and can have devastating impacts during floods. Floods often occur after extreme precipitation events, which are challenging to forecast accurately, both in time space. Unresolved small-scale processes features, including convection orography, direct on our ability accurately simulate precipitation, its partitioning into surface sub-surface runoff, consequently hydrological skill. This motivates a spatial resolution...
The increasing frequency and intensity of extreme weather events highlight the urgent need for more accurate flood forecasting to mitigate devastating impacts on communities ecosystems. DestinE programme aims address this challenge by enhancing accuracy meteorological forecasts, particularly events, through higher resolution, which in turn is expected improve capabilities. Nearly one year Global Extremes Digital Twin (G-EDT) simulations, providing high-resolution data, has been generated as...
Abstract. Climate change has resulted in more frequent occurrences of extreme events, such as flooding and heavy snowfall, which can have a significant impact on densely populated or industrialised areas. Numerical models are used to simulate predict these enabling informed decision-making planning minimise human casualties protect costly infrastructure. LISFLOOD is an integrated hydrological model underpinning the European Global Flood Awareness Systems (EFAS GloFAS, respectively) developed...
Abstract. The theoretical approach introduced in Part 1 is applied to a numerical example and the case of yearly average precipitation estimation over Veneto Region Italy. proposed methodology was used assess effects parameter uncertainty on Kriging estimates their estimated error variance. Maximum Likelihood (ML) estimator 1, zero mean deviations from Italy, obtained after elimination non-linear drift with elevation. Three different semi-variogram models were used, namely exponential,...
Abstract. Climate change has resulted in more frequent occurrences of extreme events, such as flooding and heavy snowfall, which can have a significant impact on densely populated or industrialised areas. Numerical models are used to simulate predict these enabling informed decision-making planning minimise human casualties protect costly infrastructure. LISFLOOD is an integrated hydrological model underpinning the European Flood Awareness System Global (EFAS GloFAS, respectively), developed...
The land-surface developments of the European Centre for Medium-range Weather Forecasts (ECMWF) are based on Carbon-Hydrology Tiled Scheme Surface Exchanges over Land (CHTESSEL) and form an integral part Integrated Forecasting System (IFS), supporting a wide range global weather, climate environmental applications. In order to structure, coordinate focus future benefit from international collaboration in new areas, flexible system named ECLand which would facilitates modular extensions...
© 2023 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses). This article is licensed under a Creative Commons Attribution 4.0 license (http://creativecommons.org/licenses/by/4.0/). Corresponding author: Gwyneth Matthews, g.matthews@ecmwf.int
Abstract This study evaluated the application of European flood forecasting operational real time system (EFFORTS) to Yellow River. An automatic data pre-processing program was developed provide real-time hydrometeorological data. Various GIS layers were collected and meet demands distributed hydrological model in EFFORTS. The parameters calibrated validated based on more than ten years historical from area. San-Hua Basin (from Sanmenxia Reservoir Huayuankou Hydrological Station), most...
Future climate change is expected to exacerbate hydrological drought in many parts of Europe, making effective management water resources more imperative ensure groundwater sustainability. The EU biodiversity strategy for 2030 suggests a strategic target turn at least 10% the EU’s agricultural areas into high-diversity landscape features like hedges and trees. In this study, we investigate how afforestation would affect conditions Europe under change, focusing on three...
River discharge has direct influence on the water-food-energy-environment nexus and can have devastating impacts during extreme events with rapid onsets such as floods. Floods often occur after precipitation events, which are challenging to forecast accurately, both in time space. Unresolved small-scale processes features, including convection orography, a detrimental effect consequently hydrological skill. This calls for spatial resolution increase Numerical Weather Prediction (NWP) models,...
Accurately and efficiently estimating parameters for spatially distributed environmental models is impossible without proper regularization of the parameter space. The Multiscale Parameter Regionalization (MPR, Samaniego et al. 2010) makes use high-resolution physiographic data (i.e., such as soil maps land cover information) to translate local surface properties into model parameters. MPR consists two steps: first, are derived from via transfer functions at native resolution. Second,...
The Global Flood Awareness System (GloFAS, https://www.globalfloods.eu/) is a freely available flood forecasting service that running fully operational as part of the Copernicus Emergency Management Service since April 2018. GloFAS offers number products, which are tailored to give an overview current and future hydro-meteorological situation. dataset includes medium-range seasonal discharge forecasts, well storages (e.g. soil moisture, snow cover, lakes volumes) main fluxes surface...
Floods are the most common and disastrous natural hazards, but early warning systems can help mitigate damage by increasing preparedness. However, products from these must be skilful actionable to useful in event of a flood. The European Flood Awareness System (EFAS), part Commission's Copernicus Emergency Management Service, provides complementary flood forecasts EFAS partners across whole Europe. One forecast product provided is ‘post-processed product’ which generated...