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Robust attribution of human-induced thermodynamic and dynamic contributions in h...

Robust attribution of human-induced thermodynamic and dynamic contributions in historical changes of regional heat and cold waves over Europe The exceptionally increasing European heat and cold waves in recent decades have been widely attributed to global warming from a thermodynamic perspective. However, contribution of warming-induced circulation changes to such regio... ver más

31/05/2024

UGOT - GOETEBORGS...

207K€

Presupuesto del proyecto: 207K€

Líder del proyecto

GOETEBORGS UNIVERSITET No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-05-31

Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:

HORIZON-MSCA-2021-PF-01-01: MSCA Postdoctoral Fellowships 2021

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UGOT - GOETEBORGS UNIVERSITE...

206.89K€ | Lider

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Últimas noticias

01-12-2024: REDES En las últimas 48 horas el Organismo REDES ha otorgado 1337 concesiones

01-12-2024: IDAE En las últimas 48 horas el Organismo IDAE ha otorgado 4 concesiones

01-12-2024: AEI En las últimas 48 horas el Organismo AEI ha otorgado 23 concesiones

Duración del proyecto: 24 meses Fecha Inicio: 2022-05-17
Fecha Fin: 2024-05-31

Líder del proyecto

GOETEBORGS UNIVERSITET

TRL 4-5

Presupuesto del proyecto 207K€

Descripción del proyecto The exceptionally increasing European heat and cold waves in recent decades have been widely attributed to global warming from a thermodynamic perspective. However, contribution of warming-induced circulation changes to such regional waves (termed the 'human-induced dynamic contribution') remains largely unknown, while midlatitude atmospheric circulations have been altering under global warming. Human fingerprint will not be fully detected if the human-induced dynamic contribution is not included. Dr. Chunlüe Zhou who has an outstanding academic profile in daily data homogenization and regional climate change attribution, will interact with Prof. Deliang Chen (University of Gothenburg, Sweden) to make a robust attribution to quantify human-induced thermodynamic and dynamic contributions in historical changes of regional heat and cold waves over Europe. Human activities include greenhouse gas emissions, aerosol emissions and land use/cover changes. To make robust the attribution, attribution uncertainties arising from observation, model and attribution method uncertainties will be improved through: i) reducing observation errors by removing spurious shifts in the mean and variance of daily series; ii) improving regional details of heat and cold waves and circulation patterns by downscaling large ensembles of global-simulated data using the Weather Research and Forecasting (WRF) model and exploiting feature-based machine learning recognition; and iii) developing a Bayesian statistical approach to separate the human-induced thermodynamic and dynamic contributions. This robust attribution will address these current challenges, but also push event attribution research to a regional scale, greatly increasing confidence in attribution to human causes. Through this EXTREME project, I will increase my research skills, but also gain adequate soft skills in project management, supervision and dissemination with the ultimate intent to build a vibrant research group in Europe.

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