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Robust attribution of human-induced thermodynamic and dynamic contributions in historical changes of regional heat and cold waves over Europe

Project description

The role of human intervention on the formation of cold waves

The thermodynamic effect of global warming is expected to increase warm event frequencies. But how do we explain the increased cold events? What are the roles of human activities – greenhouse gas emissions, aerosol emissions and land use or cover changes – in shaping cold events? The Marie Skłodowska-Curie Actions (MSCA) EXTREME project seeks to answer these questions. It will shed light on the contribution of warming-induced circulation changes. The aim will be to quantify human-induced thermodynamic and dynamic contributions in historical changes of regional heat and cold waves over Europe. The findings are expected to lift event attribution research to a regional scale, increasing confidence in attribution to human causes.

Objective

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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Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

(opens in new window) HORIZON-MSCA-2021-PF-01

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Coordinator

GOETEBORGS UNIVERSITET
Net EU contribution
€ 206 887,68
Address
VASAPARKEN
405 30 Goeteborg
Sweden
Region
Södra Sverige Västsverige Västra Götalands län
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data