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The attribution to climate change, and improved forecasting of extreme and slow-onset climate- and weather-related events and their impacts

This call aims to advance the understanding of how anthropogenic climate change affects the frequency and intensity of extreme climate and weather events. Projects funded under this call are expected to improve methodologies and tools for attributing extreme events and their impacts to climate change, enhance or create global databases of extreme events, and advance knowledge on operationalizing attribution science for policy purposes.

Actions should focus on improving attribution science through observations, models, and methodologies, with an emphasis on extreme and slow-onset events and their interactions. Projects should also deliver methods to separate climate trends from exposure and vulnerability trends and improve forecasting of extreme events and their impacts.

Opening Date: 06 May 2025
Deadline: 24 September 2025

Data provided by Sciencebusiness.net

This funding opportunity represents a pre-agreed draft that has not yet been officially approved by the European Commission. The final, approved version is expected to be published in the first quarter of 2025. This draft is provided for informational purposes and may be used to preliminarily form consortia and develop project ideas, but it is offered without any guarantees or warranties.

Expected Outcome

• Advanced understanding of causality between climate change and extreme events.
• Improved methodologies for event attribution.
• Enhanced or new global databases of extreme events and their attribution.
• Advanced knowledge on operationalizing attribution science for policy-making.

Scope

• Advance attribution science through observations, models, and methodologies.
• Focus on extreme and slow-onset events and their interactions.
• Deliver methods to separate climate trends from exposure and vulnerability trends.
• Improve forecasting of extreme events and their impacts.
• Investigate operationalization of attribution science for policy purposes.

Partner Requests

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