Recipient organisationMet OfficeSource-published name: Met Office
Funding£1.4M
PeriodJan 2023 — Dec 2026
In plain English
AI plain-English summary
A new climate information system will merge short-term weather forecasts with long-term climate projections to produce seamless predictions up to 30 years ahead, tailored for European decision-makers. Current climate services are fragmented: seasonal forecasts stop at a few months, while climate projections start decades out, leaving a critical gap for planning infrastructure, agriculture, and disaster response over the next one to three decades. ASPECT aims to close that gap by combining multi-model forecasts, high-resolution regional models, and artificial intelligence into a single, standardised system. The research will also explore how to predict extreme events—heatwaves, floods, droughts—that carry the highest socioeconomic stakes. If successful, the system could transform how governments and industries plan for the near future. Energy grid operators might anticipate seasonal demand shifts years ahead. Insurers could price risk more accurately. Disaster preparedness agencies could allocate resources based on reliable multi-year outlooks. The project also feeds into Europe’s Destination Earth digital twin initiative, potentially embedding its outputs into operational infrastructure. While the core work is fundamental—understanding predictability, signal-to-noise ratios, and model initialisation—the payoff is a practical tool for decisions that currently rely on guesswork.
View original technical 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 (‘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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