ASPECT – Adaptation-oriented Seamless Predictions of European ClimaTe

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What we do
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ASPECT – Adaptation-oriented Seamless Predictions of European ClimaTe

ASPECT aims for the setup and demonstration of a seamless climate information (SCI) system with a time horizon up to 30 years, accompanied by underpinning research and utilisation of climate information for sectoral applications.

General aims

The overall objective of the project is to improve and produce seamless climate predictions covering the next 30 years and to embed these into societally important climate change adaptation decisions over a range of sectors, time-scales, spatial scales and decision makers.

CMCC role
CMCC participates in WP1, WP2, WP3, WP4, WP5, WP7.

Activities
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.

Expected results
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. 

Coordinating organization
1) BARCELONA SUPERCOMPUTING CENTER-CENTRO ES NACIONAL DE SUPERCOMPUTACION (BSC CNS)

Partner
2) MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV (MPG | MPI-M)
3) EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS (ECMWF)
4) FONDAZIONE CENTRO EURO-MEDITERRANEOSUI CAMBIAMENTI CLIMATICI (FONDAZIONE CMCC) 
5) FACULTY OF SCIENCE UNIVERSITY OF ZAGREB (UZagreb)
6) SVERIGES METEOROLOGISKA OCH HYDROLOGISKA INSTITUT (SMHI) 
7) REPUBLICKI HIDROMETEOROLOSKI ZAVODSRBIJE (RHMZ)
8) CODORNIU SA 
9) UNIVERSITY OF LEEDS 
10) U.K. MET OFFICE 
11) THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD (UOXF) 

 

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