EMS Annual Meeting Abstracts
Vol. 18, EMS2021-154, 2021
EMS Annual Meeting 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Upgrade of a climate service tailored to water reservoirs management 

Eroteida Sánchez-García1, Inmaculada Abia1, Marta Domínguez1, José Voces1, Juan Carlos Sánchez-Perrino1, Beatriz Navascués1, Ernesto Rodríguez-Camino1, Mª Nieves Garrido1, Fernando Pastor2, Mª Concepción García-Gómez2, Mirta Dimas3, Luis Barranco3, and Carlos Ruíz4
Eroteida Sánchez-García et al.
  • 1Agencia Estatal de Meteorología (AEMET), Spain
  • 2Dirección General del Agua (D.G. Water), Spain
  • 3Centro de Estudios Hidrográficos – CEDEX, Spain
  • 4Confederación Hidrográfica del Miño-Sil, Spain

In this paper we present the upgrade  of  a web tool designed to help in the decision making process for water reservoirs management in Spain. The tool, called S-ClimWaRe (Seasonal Climate predictions in support of Water Reservoirs management) is organized in two main displaying panels. The first one -diagnostic panel- allows the user to explore, for any water reservoir or grid point over continental Spain, the existing hydrological variability and risk linked to climate variability.  The second one -forecasting panel- provides probabilistic seasonal predictions for some variables of interest. Following users’ need the tool initially covers the extended winter season (from November to March), when the North Atlantic Oscillation pattern strongly influences the hydrological interannual variability in South-Western Europe. This climate service is fully user driven with a strong commitment of users and stakeholders that has allowed  continuous improvement of this tool, meeting users requirements and incorporating latest scientific progress.
The latest S-ClimWaRe version -developed in the framework of the MEDSCOPE project within the European Research Area for Climate Services (ERA4CS) initiative- includes some technical enhancements requested by customers and new seasonal predictions obtained through application of two post-processing steps to ECMWF System-5 forecasts. These two steps consist of a  downscaling statistical procedure and a new methodology that combines different skilful NAO forecasts to create an optimal NAO pdf that is then used to weight the ensemble members forecasts of hydrological variables. The new upgraded S-ClimWaRe web tool enriches the forecasting panel with precipitation and water inflow forecast skill, and provides additional forecasts for accumulated snowfall and temperature. A prototype based on two different hydrological models to produce the seasonal forecasts of water inflow has also been tested over a pilot dam. These hydrological models are driven by the  downscaled precipitation and temperature forecasts also introduced in the web viewer. The assessment of this downscaling procedure shows promising results with respect to the existing seasonal forecasts based on a statistical approach.

How to cite: Sánchez-García, E., Abia, I., Domínguez, M., Voces, J., Sánchez-Perrino, J. C., Navascués, B., Rodríguez-Camino, E., Garrido, M. N., Pastor, F., García-Gómez, M. C., Dimas, M., Barranco, L., and Ruíz, C.: Upgrade of a climate service tailored to water reservoirs management , EMS Annual Meeting 2021, online, 6–10 Sep 2021, EMS2021-154, https://doi.org/10.5194/ems2021-154, 2021.

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