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

Samaniego, Luis; Thober, Stefan; Wanders, Niko; Pan, Ming; Rakovec, Oldrich; Sheffield, Justin; Wood, Eric F.; Prudhomme, Christel; Rees, Gwyn ORCID: https://orcid.org/0000-0003-3300-0472; Houghton-Carr, Helen; Fry, Matthew ORCID: https://orcid.org/0000-0003-1142-4039; Smith, Katie ORCID: https://orcid.org/0000-0003-1060-9103; Watts, Glenn; Hisdal, Hege; Estrela, Teodoro; Buontempo, Carlo; Marx, Andreas; Kumar, Rohini. 2019 Hydrological forecasts and projections for improved decision-making in the water sector in Europe. Bulletin of the American Meteorological Society, 100 (12). 2451-2471. https://doi.org/10.1175/BAMS-D-17-0274.1

Before downloading, please read NORA policies.

Preview

Text
N525294JA.pdf - Published Version
Download (20MB) | Preview

Official URL: https://doi.org/10.1175/BAMS-D-17-0274.1

Abstract/Summary

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.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1175/BAMS-D-17-0274.1
UKCEH and CEH Sections/Science Areas:	Water Resources (Science Area 2017-) UKCEH Fellows
ISSN:	0003-0007
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
Additional Keywords:	hydrological forecasts, climate projections, water sector, Europe
NORA Subject Terms:	Hydrology Meteorology and Climatology
Date made live:	04 Oct 2019 13:02 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/525294

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1175/BAMS-D-17-0274.1

UKCEH and CEH Sections/Science Areas:

Water Resources (Science Area 2017-)
UKCEH Fellows

ISSN:

0003-0007

Additional Information. Not used in RCUK Gateway to Research.:

Open Access paper - full text available via Official URL link.

Additional Keywords:

hydrological forecasts, climate projections, water sector, Europe