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Hydrological forecasts and projections for improved decision-making in the water sector in Europe

Hydrological forecasts and projections for improved decision-making in the water sector in Europe
Hydrological forecasts and projections for improved decision-making in the water sector in Europe
Simulations of water fluxes at high spatial resolution that consistently cover historical observations, seasonal forecasts, and future climate projections are key to providing climate services aimed at supporting operational and strategic planning, and developing mitigation and adaptation policies. The End-to-end Demonstrator for improved decision-making in the water sector in Europe (EDgE) is a proof-of-concept project funded by the Copernicus Climate Change Service program that addresses these requirements by combining a multimodel ensemble of state-of-the-art climate model outputs and hydrological models to deliver sectoral climate impact indicators (SCIIs) codesigned with private and public water sector stakeholders from three contrasting European countries. The final product of EDgE is a water-oriented information system implemented through a web application. Here, we present the underlying structure of the EDgE modeling chain, which is composed of four phases: 1) climate data processing, 2) hydrological modeling, 3) stakeholder codesign and SCII estimation, and 4) uncertainty and skill assessments. Daily temperature and precipitation from observational datasets, four climate models for seasonal forecasts, and five climate models under two emission scenarios are consistently downscaled to 5-km spatial resolution to ensure locally relevant simulations based on four hydrological models. The consistency of the hydrological models is guaranteed by using identical input data for land surface parameterizations. The multimodel outputs are composed of 65 years of historical observations, a 19-yr ensemble of seasonal hindcasts, and a century-long ensemble of climate impact projections. These unique, high-resolution hydroclimatic simulations and SCIIs provide an unprecedented information system for decision-making over Europe and can serve as a template for water-related climate services in other regions.
0003-0007
2451-2472
Samaniego, Luis
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Thober, Stephan
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Wanders, Niko
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Pan, Ming
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Rakovec, Oldrich
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Sheffield, Justin
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Wood, Eric F.
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Prudhomme, Christel
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Rees, Gwyn
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Houghton-carr, Helen
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Fry, Matthew
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Smith, Katie
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Watts, Glenn
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Hisdal, Hege
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Estrela, Teodoro
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Buontempo, Carlo
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Marx, Andreas
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Kumar, Rohini
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Samaniego, Luis
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Thober, Stephan
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Wanders, Niko
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Pan, Ming
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Rakovec, Oldrich
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Sheffield, Justin
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Wood, Eric F.
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Prudhomme, Christel
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Rees, Gwyn
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Houghton-carr, Helen
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Fry, Matthew
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Smith, Katie
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Watts, Glenn
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Hisdal, Hege
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Estrela, Teodoro
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Buontempo, Carlo
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Marx, Andreas
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Kumar, Rohini
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Samaniego, Luis, Thober, Stephan, Wanders, Niko, Pan, Ming, Rakovec, Oldrich, Sheffield, Justin, Wood, Eric F., Prudhomme, Christel, Rees, Gwyn, Houghton-carr, Helen, Fry, Matthew, Smith, Katie, Watts, Glenn, Hisdal, Hege, Estrela, Teodoro, Buontempo, Carlo, Marx, Andreas and Kumar, Rohini (2020) Hydrological forecasts and projections for improved decision-making in the water sector in Europe. Bulletin of the American Meteorological Society, 100 (12), 2451-2472. (doi:10.1175/BAMS-D-17-0274.1).

Record type: Article

Abstract

Simulations of water fluxes at high spatial resolution that consistently cover historical observations, seasonal forecasts, and future climate projections are key to providing climate services aimed at supporting operational and strategic planning, and developing mitigation and adaptation policies. The End-to-end Demonstrator for improved decision-making in the water sector in Europe (EDgE) is a proof-of-concept project funded by the Copernicus Climate Change Service program that addresses these requirements by combining a multimodel ensemble of state-of-the-art climate model outputs and hydrological models to deliver sectoral climate impact indicators (SCIIs) codesigned with private and public water sector stakeholders from three contrasting European countries. The final product of EDgE is a water-oriented information system implemented through a web application. Here, we present the underlying structure of the EDgE modeling chain, which is composed of four phases: 1) climate data processing, 2) hydrological modeling, 3) stakeholder codesign and SCII estimation, and 4) uncertainty and skill assessments. Daily temperature and precipitation from observational datasets, four climate models for seasonal forecasts, and five climate models under two emission scenarios are consistently downscaled to 5-km spatial resolution to ensure locally relevant simulations based on four hydrological models. The consistency of the hydrological models is guaranteed by using identical input data for land surface parameterizations. The multimodel outputs are composed of 65 years of historical observations, a 19-yr ensemble of seasonal hindcasts, and a century-long ensemble of climate impact projections. These unique, high-resolution hydroclimatic simulations and SCIIs provide an unprecedented information system for decision-making over Europe and can serve as a template for water-related climate services in other regions.

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Accepted/In Press date: 5 August 2019
e-pub ahead of print date: 1 December 2019
Published date: 1 December 2020

Identifiers

Local EPrints ID: 444247
URI: http://eprints.soton.ac.uk/id/eprint/444247
ISSN: 0003-0007
PURE UUID: 3633f2b9-2aec-47f9-af21-c98b81b39d30
ORCID for Justin Sheffield: ORCID iD orcid.org/0000-0003-2400-0630

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Date deposited: 06 Oct 2020 17:11
Last modified: 16 Apr 2024 01:47

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Contributors

Author: Luis Samaniego
Author: Stephan Thober
Author: Niko Wanders
Author: Ming Pan
Author: Oldrich Rakovec
Author: Eric F. Wood
Author: Christel Prudhomme
Author: Gwyn Rees
Author: Helen Houghton-carr
Author: Matthew Fry
Author: Katie Smith
Author: Glenn Watts
Author: Hege Hisdal
Author: Teodoro Estrela
Author: Carlo Buontempo
Author: Andreas Marx
Author: Rohini Kumar

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