Imagine trying to predict a rainstorm using a blurry map; you might know it's coming, but not exactly where it will hit. This work creates a high-definition map by making weather software run faster on the world's biggest computers. It's like upgrading from an old calculator to a super-powered engine so we can see local climate risks with much more detail.
Current weather and climate models cannot fully utilize the power of new exascale supercomputers, leading to slower simulations and lower resolution. This prevents businesses from accurately predicting local-scale climate risks.
A High-Performance Climate and Weather (HPCW) benchmark suite and toolboxes for high-resolution Earth system modelling.
If you are a reinsurance firm dealing with unpredictable extreme weather losses — this project developed high-resolution modelling toolboxes that allow for more detailed local-scale climate risk assessments. This helps in pricing premiums more accurately based on precise risk data.
If you are an agri-tech provider dealing with crop failure due to sudden climate shifts — this project developed a High-Performance Climate and Weather (HPCW) benchmark to optimize simulation codes. This enables more reliable local weather predictions for precision farming.
If you are a grid operator dealing with volatile wind and solar power outputs — this project developed scalable simulations for exascale supercomputers. This allows for better forecasting of energy production at a 1km resolution.
Based on available project data, no specific pricing or commercial cost is mentioned as the project is funded by a EUR 3,040,668 EU contribution.
Yes, the project specifically targets exascale supercomputers and has already deployed core applications on pre-exascale systems like LUMI and LEONARDO.
Based on available project data, specific licensing terms are not provided, but the project focuses on knowledge transfer and providing toolboxes to the modelling community.
The project provides targeted HPC services and toolboxes designed to prepare existing operational weather and climate prediction systems for the exascale era.
The project period runs from 2023-01-01 to 2026-12-31.
The consortium is heavily research-oriented, consisting of 12 partners across 8 countries. While 7 are research institutes and 1 is a university, there is a 17% industry presence (2 companies, including 1 SME), indicating that while the primary goal is technical enablement, there is a bridge to commercial application via the Barcelona Supercomputing Center.
Contact Barcelona Supercomputing Center (BSC) regarding exascale weather modelling services.
Contact us to identify the specific HPC toolboxes applicable to your climate risk model.
