Abstract
AbstractOver the first half of 2020, Siberia experienced the warmest period from January to June since records began and on the 20th of June the weather station at Verkhoyansk reported 38 °C, the highest daily maximum temperature recorded north of the Arctic Circle. We present a multi-model, multi-method analysis on how anthropogenic climate change affected the probability of these events occurring using both observational datasets and a large collection of climate models, including state-of-the-art higher-resolution simulations designed for attribution and many from the latest generation of coupled ocean-atmosphere models, CMIP6. Conscious that the impacts of heatwaves can span large differences in spatial and temporal scales, we focus on two measures of the extreme Siberian heat of 2020: January to June mean temperatures over a large Siberian region and maximum daily temperatures in the vicinity of the town of Verkhoyansk. We show that human-induced climate change has dramatically increased the probability of occurrence and magnitude of extremes in both of these (with lower confidence for the probability for Verkhoyansk) and that without human influence the temperatures widely experienced in Siberia in the first half of 2020 would have been practically impossible.
Funder
Swiss National Science Foundation
Met Office Hadley Centre Climate Programme
Helmholtz-RSF
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science,Global and Planetary Change
Reference39 articles.
1. Bulygina ON, Veselov VM, Razuvaev VN, Aleksandrova TM (2014) Description of the dataset of observational data on major meteorological parameters from Russian weather stations (http://meteo.ru/data/163-basicparameters)
2. Choi Y, Ahn J (2019) Possible mechanisms for the coupling between late spring sea surface temperature anomalies over tropical Atlantic and East Asian summer monsoon. Clim Dyn 53:6995–7009. https://doi.org/10.1007/s00382-019-04970-3
3. Ciavarella A, Christidis N, Andrews M, Groenendijk M, Rostron J, Elkington M, Burke C, Lott FC, Stott PA (2018) Upgrade of the HadGEM3-a based attribution system to high resolution and a new validation framework for probabilistic event attribution. Weather and Climate Extremes 20. https://doi.org/10.1016/j.wace.2018.03.003
4. COPERNICUS wildfires (2020) https://atmosphere.copernicus.eu/another-active-year-arctic-wildfires
5. Deser C, Lehner F, Rodgers KB et al (2020) Insights from earth system model initial-condition large ensembles and future prospects. Nat Clim Chang 10:277–286. https://doi.org/10.1038/s41558-020-0731-2
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