Imagine having a weather app that doesn't just tell you if it will rain tomorrow, but gives a reliable outlook for the next 30 years. It blends short-term forecasts with long-term climate trends into one smooth timeline. This helps leaders make smart bets on where to build or plant, knowing exactly how the environment will shift.
Companies struggle to make long-term investments because current climate data is either too short-term (weather) or too long-term (projections), leaving a gap in actionable intelligence for the 1-30 year window.
A seamless climate information (SCI) delivery system that merges multi-model forecasts and projections into a single standard for decision-making.
If you are a commercial crop producer dealing with unpredictable harvest cycles — this project developed a seamless climate information system that provides predictions from a few months up to 30 years. This allows for better selection of crop varieties and planting schedules based on robust data.
If you are an insurance firm dealing with increasing climate-related payouts — this project developed a system focusing on extremes and socioeconomic high-level interest. This helps in pricing premiums and assessing long-term asset risk more accurately.
If you are a disaster response agency dealing with sudden climate crises — this project developed a delivery system for disaster preparedness. It provides a bandwidth of information to better allocate resources before a crisis hits.
Based on available project data, no pricing or cost structure has been disclosed as the project is currently in the research and demonstration phase.
The project is currently demonstrating a seamless climate information system and exploring how to scale up co-developed services to a broader range of sectoral users.
Based on available project data, specific IP or licensing details are not provided; the project focuses on creating a community of practice and a delivery system.
The system is designed to align with European Digital Twins, including DestinE, and uses AI and statistical methods for regional downscaling.
The project period runs from 2023-01-01 to 2026-12-31.
The consortium is heavily weighted toward research and academia, with 5 research organizations and 3 universities. With only 1 industry partner (9% ratio) and 0 SMEs, the project is primarily driven by scientific excellence and public research, coordinated by the Barcelona Supercomputing Center. This suggests the output is currently a high-level scientific tool rather than a commercial product.
Contact the Barcelona Supercomputing Center (BSC) regarding the SCI system
Contact us to find a partner for the upcoming climate adaptation pilots.
