Repository logo
HARVEST
 

Connecting hydrological modelling and forecasting from global to local scales: Perspectives from an international joint virtual workshop

Simple item page
dc.contributor.authorDasgupta, Antara
dc.contributor.authorArnal, Louise
dc.contributor.authorEmerton, Rebecca
dc.contributor.authorHarrigan, Shaun
dc.contributor.authorMatthews, Gwyneth
dc.contributor.authorMuhammad, Ameer
dc.contributor.authorO'Regan, Karen
dc.contributor.authorPérez-Ciria, Teresa
dc.contributor.authorValdez, Emixi
dc.contributor.authorvan Osnabrugge, Bart
dc.contributor.authorWerner, Micha
dc.contributor.authorBuontempo, Carlo
dc.contributor.authorCloke, Hannah
dc.contributor.authorPappenberger, Florian
dc.contributor.authorPechlivanidis, Ilias G
dc.contributor.authorPrudhomme, Christel
dc.contributor.authorMaria-Helena, Ramos
dc.contributor.authorSalamon, Peter
dc.date.accessioned2025-01-11T18:30:08Z
dc.date.available2025-01-11T18:30:08Z
dc.date.issued2023
dc.description.abstractThe unprecedented progress in ensemble hydro-meteorological modelling and forecasting on a range of temporal and spatial scales, raises a variety of new challenges which formed the theme of the Joint Virtual Workshop, ‘Connecting global to local hydrological modelling and forecasting: challenges and scientific advances’. Held from 29 June to 1 July 2021, this workshop was co-organised by the European Centre for Medium-Range Weather Forecasts (ECMWF), the Copernicus Emergency Management (CEMS) and Climate Change (C3S) Services, the Hydrological Ensemble Prediction EXperiment (HEPEX), and the Global Flood Partnership (GFP). This article aims to summarise the state-of-the-art presented at the workshop and provide an early career perspective. Recent advances in hydrological modelling and forecasting, reflections on the use of forecasts for decision-making across scales, and means to minimise new barriers to communication in the virtual format are also discussed. Thematic foci of the workshop included hydrological model development and skill assessment, uncertainty communication, forecasts for early action, co-production of services and incorporation of local knowledge, Earth observation, and data assimilation. Connecting hydrological services to societal needs and local decision-making through effective communication, capacity-building and co-production was identified as critical. Multidisciplinary collaborations emerged as crucial to effectively bring newly developed tools to practice.
dc.description.sponsorshipAntara Dasgupta is funded by the Postdoctoral Fellowship of the University of Osnabrück. Louise Arnal and Bart van Osnabrugge acknowledge funding support from the Canada First Research Excellence Fund's Global Water Futures programme. Ilias G. Pechlivanidis and Micha Werner were funded by the EU Horizon 2020 project I-CISK (Innovating climate services through integrating scientific and local knowledge) under Grant Agreement 101037293, and by the EU Horizon 2020 project CLINT (Climate Intelligence: Extreme events detection, attribution and adaptation design using machine learning) under Grant Agreement 101003876. Gwyneth Matthews is funded in part by the EPSRC DTP 2018-19 University of Reading (EP/R513301/1). Hannah Cloke acknowledges funding from the U.K.'s Natural Environment Research Council (NERC) The Evolution of Global Flood Risk (EVOFLOOD) project Grant NE/S015590/1. Emixi Valdez is funded by the Quebec government's Disaster Prevention Framework under contracts CPS 18-19-31 and CPS 21-22-10. Teresa Pérez-Ciria acknowledges the funding from the TUM ForTe—Forschungsförderung & Technologietransfer and from the EU Horizon 2020 innovation action programme ARSINOE (Climate-resilient regions through systemic solutions and innovations) under Grant Agreement 101037424. Maria-Helena Ramos was funded by the French national project ANR CIPRHES (contract number ANR-20-CE04-0009-02).
dc.description.versionPeer Reviewed
dc.identifier.doihttps://doi.org/10.1111/jfr3.12880
dc.identifier.urihttps://hdl.handle.net/10388/16411
dc.language.isoen
dc.publisherJournal of Flood Risk Management
dc.rightsAttribution 2.5 Canadaen
dc.rights.urihttp://creativecommons.org/licenses/by/2.5/ca/
dc.subjectmultidiscplinary
dc.subjecthydrological model development
dc.subjectcapacity-building
dc.titleConnecting hydrological modelling and forecasting from global to local scales: Perspectives from an international joint virtual workshop
dc.typeArticle

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Dasgupta_etal_Hydrological_Modelling.pdf
Size:
31.1 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.36 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

School of Environment and Sustainability
Water