Project description
Seamless climate information system for sectoral decision-making
To achieve the EU’s goal of mitigating or preventing the impact of climate change, improved and more thorough climate information and impactful policymaking are necessary. The EU-funded ASPECT project will assist the EU in reaching this goal. To do so, it will develop and introduce a seamless climate information (SCI) system with a time horizon of up to 30 years and with the required research and information for its sectoral application. What’s more, the project will improve climate prediction systems and combine their outputs with climate projections to set the SCI system as the basis for sectoral decision-making.
Objective
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 (‘middle-ground level’1). The goal is to improve existing climate prediction systems and merge their outputs across timescales together with climate projections to unify a SCI as a standard for sectoral decision-making. The focus will be on European climate information but we will also look more widely where there is a policy interest (e.g. disaster preparedness) and in regions of European interest. We will maintain a strong link into an exploit learning from the WCRP lighthouse activities on explaining and predicting earth system change.
To provide a bandwidth diversity of information the SCI system will be based on multi-model climate forecasts, and will build on learning from projects such as EUCP. It will align with new activities on Digital Twins within Europe, including DestinE. The SCI will combine physical science aspects with those from other disciplines to ensure the information is robust, reliable and relevant for a range of user driven decision cases. 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.
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HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
08034 Barcelona
Spain