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Commission Européenne (CORDIS) 2021

XAIDA EXTREME EVENTS : ARTIFICIAL INTELLIGENCE FOR DETECTION AND ATTRIBUTION

Events Extreme Detection Climate Drought

CORDIS (Service Communautaire d’Information sur la Recherche et le Développement) Commission Européenne

Titre : XAIDA EXTREME EVENTS : ARTIFICIAL INTELLIGENCE FOR DETECTION AND ATTRIBUTION

Code du projet : 101003469

Durée : Start date 1 September 2021 // End date 31 August 2025

Descriptif
Climate change is modifying and enhancing extreme weather events such as heat waves, devastating wildfires, cyclones, floods and droughts. The EU-funded XAIDA project will characterise, detect and attribute extreme events using a novel data-driven, impact-based approach. It will use new AI techniques and bring together specialists in extreme event attribution, atmospheric dynamics, climate modelling, machine learning and causal inference. The findings will shed light on the effect of climate change on atmospheric phenomena like cyclones and convective storms, which are not well understood or quantified. The project will also provide tools to assess the causal pathways leading to extreme events.

Objectifs
Often, extreme events provide representations of the future climate, but not all extremes are harbingers of the future. Thus, in order to be useful for adaptation in support to future projections, a causal link between events and human influence on climate must be established or refuted. This is why the “Extreme event attribution” field has recently developed. However, extreme event detection, attribution and projections studies currently face major limitations.

XAIDA will fill these gaps. Using new artificial intelligence techniques, and a strong two-way interaction with key stakeholders, it will (i) characterize, detect and attribute extreme events using a novel data-driven, impact-based approach, (ii) assess their underlying causal pathways and physical drivers using causal networks methods, and (iii) simulate high-intensity and as yet unseen events that are physically plausible in present and future climates.

To achieve this, XAIDA brings together teams of specialists in extreme event attribution, atmospheric dynamics, climate modelling, machine learning and causal inference, to : ● Understand the effect of climate change on a variety of impacting atmospheric phenomena currently poorly understood or quantified (cyclones, convective storms, long-lived anomalies, or summer compound events), both for past and future evolutions ; ● Develop, in co-design with a community of key stakeholders, a novel, broader and impacts-based attribution and projection framework which extracts causal pathways of extremes ; ● Develop storylines of events of unseen intensity, based on machine learning methods ; ● Provide new tools for model assessment of causal pathways leading to extreme events and investigate the causes of disagreements between models and observations ; ● Develop an interaction and communication platform with stakeholders with the ambition to improve training and education on climate change and impacts and to bring these developments to future operational climate services

Participants au projet
Coordinateur : CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Participants : COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES — STICHTING VU - UNIVERSITY OF OXFORD — KONINKLIJK NEDERLANDS METEOROLOGISCH INSTITUUT-KNMI - MET OFFICE — …..

Budget
Coût total : € 5 999 241,75
Contribution UE : € 5 999 241,75

CORDIS

Page publiée le 28 novembre 2022