2021
DOI: 10.1029/2021ef002163
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The Alaskan Summer 2019 Extreme Heat Event: The Role of Anthropogenic Forcing, and Projections of the Increasing Risk of Occurrence

Abstract: Introduction BackgroundIn June and July, 2019, Alaska experienced an extended period of record high temperatures. Temperatures at several weather stations broke all-time records; in Anchorage, temperatures reached 32°C, breaking records by 3°C (Di Liberto, 2019). Temperatures remained abnormally high from approximately June 23-July 10, with Anchorage breaking 27°C for six consecutive days (another record).In Alaska, increasing temperatures have significant societal and economic effects: degrading permafrost ca… Show more

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Cited by 4 publications
(3 citation statements)
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“…To measure the likelihood of a similar heatwave to the 2021 WNA one in the future, the probability of a heatwave that surpasses the observed value in 2021 is estimated by calculating the percent of times that an ensemble records a heatwave above 5.38 SDs within a sample size. This approach has been used in other heatwave studies and has been proven to be effective (Weidman et al., 2021). The sample size is defined as the number of models multiplied by a warming period.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…To measure the likelihood of a similar heatwave to the 2021 WNA one in the future, the probability of a heatwave that surpasses the observed value in 2021 is estimated by calculating the percent of times that an ensemble records a heatwave above 5.38 SDs within a sample size. This approach has been used in other heatwave studies and has been proven to be effective (Weidman et al., 2021). The sample size is defined as the number of models multiplied by a warming period.…”
Section: Resultsmentioning
confidence: 99%
“…Extreme weather and climate events such as heatwaves draw the attention of the public due to their adverse impacts on human health, ecosystems, agriculture, and infrastructure (e.g., Campbell et al., 2018; Matthews et al., 2017; Tebaldi & Lobell, 2018; Xu, Wang, Vallis, et al., 2021; Yu et al., 2021). It is widely recognized that global warming will substantially increase heatwaves' intensity, duration, and frequency over many regions globally (e.g., Dong et al., 2021; Ma et al., 2020; Perkins‐Kirkpatrick & Lewis, 2020; Weidman et al., 2021). This conclusion also holds for North America, where the heatwaves show an increasing trend with global warming (e.g., Habeeb et al., 2015; Hulley et al., 2020; Ramamurthy et al., 2017).…”
Section: Introductionmentioning
confidence: 99%
“…Large ensembles are useful for disentangling the effects of internal variability relative to external climate forcing, especially in regions such as the Arctic. Recently, the MMLEA has been used in studies for evaluating Arctic amplification (e.g., M. R. England, 2021; Holland & Landrum, 2021; Landrum & Holland, 2020), detection and attribution of extreme events in Siberia and Alaska (e.g., Ciavarella et al., 2021; Weidman et al., 2021), comparing projections of Arctic sea ice (e.g., Bonan et al., 2021; Topál et al., 2020), and identifying extratropical teleconnections (e.g., McCrystall & Screen, 2021; McKenna & Maycock, 2021). The high number of realizations per GCM is also particularly valuable for addressing deep learning and climate science applications, where large sample sizes are required for creating training data sets and improving overall ANN performance.…”
Section: Datamentioning
confidence: 99%