IMPROVED PREDICTABILITY
OF EXTREMES
OVER THE MEDITERRANEAN
FROM SEASONAL
TO DECADAL TIMESCALES
IMPROVED PREDICTABILITY OF EXTREMES OVER THE MEDITERRANEAN FROM SEASONAL TO DECADAL TIMESCALES
About us.
The overall objective of PREVENT is to improve the predictability of impact-relevant extremes in the Mediterranean region on timescales from seasonal to decadal using state-of-the-art dynamical, statistical, and machine learning methods. Additionally, PREVENT brings together experts in different disciplines and geographical regions for a comprehensive study of impact-relevant climate extremes in the Mediterranean with the goal to improve their seasonal and decadal predictions in a changing climate. PREVENT intent to:
1. Define for local climate extreme hotspot regions, including major urban centers in the Mediterranean.
2. Provide new management tools that can be used in many domains, to guide and direct processes, support monitoring activities, and increase organizational efficiency
3. Develop awareness and competencies by enabling policymakers, industry, farmers, and other producers to understand, promote and practice the inclusion of seasonal and decadal data in their project management. PREVENT has a small flexible consortium consisting of colleagues with great experience in the Mediterranean climate and especially the analysis of extreme climate events and the use of impact models.
The broader objectives of PREVENT, in
alignment with the call are to:
- Improve seasonal and decadal predictions of extremes for the Mediterranean via dynamical and statistical downscaling and bias correction methods
- Provide high resolution fit-to-purpose seasonal and decadal data for local climate extreme hotspot regions, including major urban centres in the Mediterranean
- Investigate and understand the atmospheric and local drivers that contribute to extreme weather events in the Mediterranean region
- Optimize impact modelling for improved preparedness against the adverse effects of extreme events by increasing the spatial resolution and the lead time predictability of the predictions
- Embed seasonal and decadal predictions as well as impact models outputs into participatory decision-making under uncertainty methods (e.g., decision tree) to facilitate and accelerate short to medium-term decisions and investments in resilience • Align PREVENT developments with important application sectors and the broader goals of the European Commission (e.g., Destination Earth)
Objectives.
Objectives.
The broader objectives of PREVENT, in
alignment with the call are to:
- Improve seasonal and decadal predictions of extremes for the Mediterranean via dynamical and statistical downscaling and bias correction methods
- Provide high resolution fit-to-purpose seasonal and decadal data for local climate extreme hotspot regions, including major urban centres in the Mediterranean
- Investigate and understand the atmospheric and local drivers that contribute to extreme weather events in the Mediterranean region
- Optimize impact modelling for improved preparedness against the adverse effects of extreme events by increasing the spatial resolution and the lead time predictability of the predictions
- Embed seasonal and decadal predictions as well as impact models outputs into participatory decision-making under uncertainty methods (e.g., decision tree) to facilitate and accelerate short to medium-term decisions and investments in resilience • Align PREVENT developments with important application sectors and the broader goals of the European Commission (e.g., Destination Earth)