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contributor authorSamaniego, 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;Kumar, Rohini
date accessioned2022-01-30T17:57:59Z
date available2022-01-30T17:57:59Z
date copyright1/7/2020 12:00:00 AM
date issued2020
identifier issn0003-0007
identifier otherbams-d-17-0274_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4264268
description abstractSimulations 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.
publisherAmerican Meteorological Society
titleHydrological Forecasts and Projections for Improved Decision-Making in the Water Sector in Europe
typeJournal Paper
journal volume100
journal issue12
journal titleBulletin of the American Meteorological Society
identifier doi10.1175/BAMS-D-17-0274.1
journal fristpage2451
journal lastpage2472
treeBulletin of the American Meteorological Society:;2020:;volume( 100 ):;issue: 012
contenttypeFulltext


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