Innovating Works

XAIDA

Financiado
EXTREME EVENTS ARTIFICIAL INTELLIGENCE FOR DETECTION AND ATTRIBUTION
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... 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 ver más
31/08/2025
CNRS
6M€
Duración del proyecto: 51 meses Fecha Inicio: 2021-05-27
Fecha Fin: 2025-08-31

Línea de financiación: concedida

El organismo H2020 notifico la concesión del proyecto el día 2021-05-27
Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:
LC-CLA-12-2020: Advancing climate services
Cerrada hace 4 años
Presupuesto El presupuesto total del proyecto asciende a 6M€
Líder del proyecto
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE... No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico TRL 4-5