A5050467694- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Hydrology and Drought Analysis
- Meteorological Phenomena and Simulations
- Hydrological Forecasting Using AI
- Tropical and Extratropical Cyclones Research
- Cryospheric studies and observations
- Precipitation Measurement and Analysis
- Climate variability and models
- Disaster Management and Resilience
- Geophysics and Gravity Measurements
- Public Relations and Crisis Communication
- Oceanographic and Atmospheric Processes
- Advanced Computational Techniques and Applications
- Groundwater flow and contamination studies
- Topic Modeling
- Soil and Unsaturated Flow
- Disaster Response and Management
- Environmental Monitoring and Data Management
- Landslides and related hazards
- Coastal and Marine Dynamics
- Anomaly Detection Techniques and Applications
- Ocean Waves and Remote Sensing
- Agricultural risk and resilience
- Climate change impacts on agriculture
Joint Research Centre
2016-2025
European Commission
2012-2023
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
2023
Istituto Superiore per la Protezione e la Ricerca Ambientale
2017
Citizen (Japan)
2013
Universitat de València
2007
Universitat Politècnica de València
2006
San Diego State University
1992
Rising global temperature has put increasing pressure on understanding the linkage between atmospheric warming and occurrence of natural hazards. While Paris Agreement set ambitious target to limiting 1.5°C compared preindustrial levels, scientists are urged explore scenarios for different thresholds quantify ranges socioeconomic impact. In this work, we present a framework estimate economic damage population affected by river floods at scale. It is based modeling cascade involving...
Nowadays, the development of high-resolution flood hazard models have become feasible at continental and global scale, their application in developing countries data-scarce regions can be extremely helpful to increase preparedness population reduce catastrophic impacts. The present work describes a novel procedure for mapping, based on most recent advances large scale modelling. We derive long-term dataset daily river discharges from hydrological simulations Global Flood Awareness System...
Abstract Flood hazard maps at trans‐national scale have potential for a large number of applications ranging from climate change studies, reinsurance products, aid to emergency operations major flood crisis, among others. However, continental scales, only few products are available, due the difficulty retrieving consistent data sets. Moreover, these produced relatively coarse grid resolution, which limits their qualitative assessments. At finer often limited country boundaries, sharing...
Floods are the most frequent of natural disasters, affecting millions people across globe every year. The anticipation and forecasting floods at global scale is crucial to preparing for severe events providing early awareness where local flood models warning services may not exist. As numerical weather prediction continue improve, operational centers increasingly using their meteorological output drive hydrological models, creating hydrometeorological systems capable river flow much longer...
Uncertainty in operational hydrological forecast systems forced with numerical weather predictions is often assessed by quantifying the uncertainty from inputs only. However, part of modelled discharge stems model. A multi-model system can account for some this uncertainty, but there exists a plethora models and it not trivial to select those that fit specific needs collectively capture representative spread model uncertainty. This paper provides technical review 24 large-scale provide...
Abstract. Estimating how much water is flowing through rivers at the global scale challenging due to a lack of observations in space and time. A way forward optimally combine network earth system with advanced numerical weather prediction (NWP) models generate consistent spatio-temporal maps land, ocean, atmospheric variables interest, which known as reanalysis. While current generation NWP output runoff each grid cell, they currently do not produce river discharge catchment scales directly...
Quantifying flood hazard is an essential component of resilience planning, emergency response, and mitigation, including insurance. Traditionally undertaken at catchment national scales, recently, efforts have intensified to estimate risk globally better allow consistent equitable decision making. Global models are now a practical reality, thanks improvements in numerical algorithms, global datasets, computing power, coupled modelling frameworks. Outputs these vital for quantification...
The skill of a forecast can be assessed by comparing the relative proximity both and benchmark to observations. Example benchmarks include climatology or naïve forecast. Hydrological ensemble prediction systems (HEPS) are currently transforming hydrological forecasting environment but in this new field there is little information guide researchers operational forecasters on how best used evaluate their probabilistic forecasts. In study, it identified that calculated vary depending selected...
Abstract. Coastal flooding related to marine extreme events has severe socioeconomic impacts, and even though the latter are projected increase under changing climate, there is a clear deficit of information predictive capacity coastal flood mapping. The present contribution reports on efforts towards new methodology for mapping hazard at European scale, combining (i) waves total water level; (ii) improved inundation modeling; (iii) an open, physics-based framework which can be constantly...
This paper presents the calibration and evaluation of Global Flood Awareness System (GloFAS), an operational system that produces ensemble streamflow forecasts threshold exceedance probabilities for large rivers worldwide. The generates daily using a coupled H-TESSEL land surface scheme LISFLOOD model forced by ECMWF IFS meteorological forecasts. hydrology currently uses priori parameter estimates with uniform values globally, which may limit forecast skill. Here, routing groundwater...
Global and continental scale hydrological reanalysis datasets receive growing attention due to their increasing number of applications, ranging from water resources management, climate change studies, related hazards policy support. Until recently, use was mostly limited qualitative assessments, coarse spatial temporal resolution, large uncertainty bias in the model output, extent dataset space time. This research reports on setup a gridded with quasi-global coverage, able reproduce seamless...
Abstract. Operational global-scale hydrological forecasting systems are used to help manage extremes such as floods and droughts. The vast amounts of raw data that underpin forecast the ability generate information on skill have, until now, not been publicly available. As part Global Flood Awareness System (GloFAS; https://www.globalfloods.eu/, last access: 3 December 2022) service evolution, in this paper daily ensemble river discharge reforecasts real-time datasets made free openly...
In operational hydrological forecasting systems, improvements are directly related to the continuous monitoring of forecast performance. An efficient evaluation framework must be able spot issues and limitations provide feedback system developers. regional expertise analysts on duty is a major component daily evaluation. On other hand, large scale systems need complemented with semi-automated tools evaluate quality forecasts equitably in every part their domain. This article presents current...
Lakes and reservoirs affect the timing magnitude of streamflow, are therefore essential hydrological model components, especially in context global flood forecasting. However, parameterization lake reservoir routines on a scale is subject to considerable uncertainty due lack information hydrographic characteristics operating rules. In this study we estimated effect lakes daily streamflow simulations spatially-distributed LISFLOOD model. We applied state-of-the-art sensitivity analyses for...
Knowledge on the costs of natural disasters under climate change is key information for planning adaptation and mitigation strategies future policies. Impact models large scale flood risk assessment have made leaps forward in past few years, thanks to increased availability high resolution projections local exposure vulnerability river floods. Yet, state-of-the-art impact rely a number input data techniques that can substantially influence their results. This work compares estimates Europe...
Every year riverine flooding affects millions of people in developing countries, due to the large population exposure floodplains and lack adequate flood protection measures. Preparedness monitoring are effective ways reduce risk. State-of-the-art technologies relying on satellite remote sensing as well numerical hydrological weather predictions can detect monitor severe events at a global scale. This paper describes emerging role Global Flood Partnership (GFP), network scientists, users,...
Global flood models (GFMs) are becoming increasingly important for disaster risk management internationally. However, these have had little validation against observed events, making it difficult to compare model performance. In this paper, we introduce the first collective of multiple GFMs same events and analyse how different structures influence We identify three hydraulically diverse regions in Africa with recent large scale events: Lokoja, Nigeria; Idah, Chemba, Mozambique. then...
Abstract The aim of this article is to improve the communication probabilistic flood forecasts generated by hydrological ensemble prediction systems (HEPS) understanding perceptions different methods visualizing forecast information. This study focuses on interexpert and accounts for differences in visualization requirements based information content necessary individual users. expert group addressed are important because they designers primary users existing HEPS. Nevertheless, have...