SOURCE-LINKED INTELLIGENCE

IMPROVED PREDICTABILITY OF EXTREMES OVER THE MEDITERRANEAN FROM SEASONAL TO DECADAL TIMESCALES

CORDIS · observation · Publication date unknown

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 Mediterranea

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recordType

award

status

SIGNED

region

EU

value

2997875

unit

EUR