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Project

Adaptation-oriented Seamless Predictions of European ClimaTe (ASPECT)

Description:

ASPECT aims for the setup and demonstration of a seamless climate information (SCI) system with a time horizon up to 30yr, accompanied by underpinning research and utilisation of climate information for sectoral applications. The goal is to improve adaptation through the improvement of existing climate prediction systems.

ASPECT is designed around seven work packages. WPs 1 to 3 provide the climate forecast and projection data across time-scales, including improved understanding, skill assessment, downscaling approaches and identification of extremes. WPs 4 to 7 form a cluster that focuses on engaging with the users, delivering data, information, methods and guidance to drive and inform adaptation, as well as wider communication, dissemination and exploitation activities.

The information package will incorporate baseline forecasts and projections (plus uncertainty), but also new frontiers will be explored (e.g., extremes which are of socioeconomic high-level interest). To be successful the research will encompass: Understanding and attribution of various processes along the timescales (such as exploring signal-to-noise ratio) and their impact on predictability, new ways of initialisation of the prediction systems, merging predictions with projections, provision of regional SCI for Europe by downscaling (statistical methods, AI) and HighRes models (including convection-permitting models) and innovative post-processing method enhancing the skill and robustness of the climate forecasts.

 

 

Project information

Lead

Barcelona Supercomputing service, Spain

Partners

Max-Plank Institute fur meteorologie, Denmark

CMCC Foundation, Italy

European Centre for Medium-Range Weather Forecasts, UK

University of Leeds, UK

University of Zagreb, Croatia

Swedish Meteorological and Hydrological Institute (SMHI), Sweden

Republic Hydrometeorological Service of Serbia, Serbia

CODORNIU SA, Spain

Met Office, UK

University of Oxford, UK

University of Leeds, UK

 

 

 

 

Published in Climate-ADAPT Jul 28 2023   -   Last Modified in Climate-ADAPT Aug 10 2023

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