2020
DOI: 10.1007/s10584-019-02640-1
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Conspicuous temperature extremes over Southeast Asia: seasonal variations under 1.5 °C and 2 °C global warming

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Cited by 46 publications
(23 citation statements)
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References 75 publications
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“…The finding of this study is overall consistent with previous studies (e.g., Coffel et al., 2017; Dosio et al., 2018; Mora et al., 2017; Russo et al., 2017; Zhu et al., 2020), and it provides additional information in several aspects via considering more global warming levels. For example, it indicates that the global warming level primarily drives changes in the frequency and duration of heatwaves over Southeast Asia.…”
Section: Conclusion and Discussionsupporting
confidence: 92%
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“…The finding of this study is overall consistent with previous studies (e.g., Coffel et al., 2017; Dosio et al., 2018; Mora et al., 2017; Russo et al., 2017; Zhu et al., 2020), and it provides additional information in several aspects via considering more global warming levels. For example, it indicates that the global warming level primarily drives changes in the frequency and duration of heatwaves over Southeast Asia.…”
Section: Conclusion and Discussionsupporting
confidence: 92%
“…Zhu et al. (2020) projected that potentially conspicuous temperature extremes primarily concentrate on the densely populated coastal regions of the main islands.…”
Section: Introductionmentioning
confidence: 99%
“…T10 is calculated from the 10th percentile of daily temperature variability for the climatological run; i.e., a percentage count of the number of days below the 10th percentile. The advantage for this definition is that it is directly comparable with observational series, which eliminates the structural model uncertainties to a great extent (e.g., Sillmann et al, 2013;King et al, 2017;Zhu et al, 2020). The simulated T10 based on climatological run is ∼10% averaged in North America (20°N-80°N, 170-50°W), being similar with the observational results based on extreme dataset HadEX2 (Donat et al, 2013;Dunn et al, 2020).…”
Section: Methods and Modelssupporting
confidence: 69%
“…It may not adequately account for the real warming rates considering the carbon feedback processes (Schaefer et al 2014;Lenton et al 2019). In the context of the strengthening global warming (IPCC 2018;Forster et al 2020;Zhu et al 2020a), such a "worst-case" scenario of RCP 8.5 is applied to estimate the extreme outcomes and potential threats of the worst-case emission on the future climate change, although it might happen in an imagined world. Results of our experiment are in line with those from the stateof-the-art models in the short-and long-term future climate projections (Shiru et al 2020;Ullah et al 2020), which not only indicates the skillful simulation of regional climate in the ROM model but also reveals the potential forcing impacts on the local temperature variation and highlights the importance of restricting the rising global temperature.…”
Section: Conclusion and Discussionmentioning
confidence: 99%