EXTREME · Robust attribution of human-induced thermodynamic and dynamic contributions in historical changes of regional heat and cold waves over Europe
Horizon Europe — Marie Skłodowska-Curie Actions
- Duration
- 2022-06-01 → 2024-05-31
- EU contribution
- €206,888
- Participants
- 1
- Scheme
- HORIZON-TMA-MSCA-PF-EF
Lines connect the coordinator with its partners.
Results in brief
Robust attribution of human-induced thermodynamic and dynamic contributions in historical changes of regional heat and cold waves over Europe
Project Overview: Understanding and Attributing European Climate Extremes Europe has been grappling with increasingly frequent and severe climate extremes, from scorching heat waves to bone-chilling cold outbreaks. The EXTREME project aims to uncover the drivers behind these events and quantify the human contribution to them. Context: Challenges of European Climate Extremes Europe has experienced record-breaking climate events, like the event in 2019 surpassing the notorious 2003 heat wave, alongside a rise in winter cold outbreaks. A classical theory explains that heat and cold waves result from two main factors: regional energy and water vapor budgets (thermodynamic processes), and large-scale atmospheric circulations (dynamic processes). To further understand the role of human activity, a new field called 'event attribution science' emerged, aiming to ‘probabilistically estimate whether and to what degree anthropogenic drivers change the odds of a past extreme event’. A growing body of research is now making more progress in understanding their drivers. However, how human activities influence these events through thermodynamic and dynamic processes remains largely unknown. Objectives: Quantifying Human Contribution The main scientific goal of The EXTREME project is to robustly attribute historical changes in regional heat and cold waves over Europe to anthropogenic drivers from thermodynamic and dynamic perspectives, with attribution uncertainty quantifications. Pathways to Impact: Science, Policy, and Practice The EXTREME project outputs a suit of high-quality climate datasets and an innovative attribution approach for a wider range of applications, including for attributing rainfall extremes. By shedding light on the human footprint on European climate extremes, the EXTREME project aims to equip policymakers with evidence-based insights for crafting effective mitigation strategies. Additionally, by quantifying attribution uncertainties, it may facilitate adaptive decision-making in the face of climate uncertainty.
Data: CORDIS, © European Union
Project 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.
Original text from CORDIS.
Participants
- GOETEBORGS UNIVERSITET · GoeteborgCoordinatorSweden
Links
- View on CORDIS
- DOI: 10.3030/101067046
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e50bd9304f&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5f7dc402c&appId=PPGMS
Data: CORDIS, © European Union
