2018
DOI: 10.1029/2018jd028835
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Extreme Climate Event Changes in China in the 1.5 and 2 °C Warmer Climates: Results From Statistical and Dynamical Downscaling

Abstract: This study compared statistical downscaling model (SD) and dynamical downscaling model (DD) for changes in extreme temperature and precipitation indices, driven by the same global climate model output, in the 1.5 and 2 °C warmer climates in China. Simple bias correction (BC) methods were used to correct the climatology of temperature and precipitation in both models. After BC, both models show comparable performance in reproducing the spatial distributions of the extreme temperature and precipitation indices. … Show more

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Cited by 37 publications
(23 citation statements)
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“…When combining the stabilized response of extreme temperature in China to 1.5 °C/2.0 °C global warming with the results based on transient simulations in previous studies 11,15,41,42 , we can find that the areal-mean extreme temperatures over China show an increase larger than their global counterpart in both stabilized and transient simulations, and key regions are located in Northwest and Northeast-North China; while WSDI increases mostly in Southeast China, FD decreases mostly in the Tibetan Plateau. The results indicate that the response of these regions to global warming is robust, that is, these regions are truly more sensitive to global warming and will suffer severe effects, whether under which warming scenarios.…”
Section: Resultsmentioning
confidence: 99%
“…When combining the stabilized response of extreme temperature in China to 1.5 °C/2.0 °C global warming with the results based on transient simulations in previous studies 11,15,41,42 , we can find that the areal-mean extreme temperatures over China show an increase larger than their global counterpart in both stabilized and transient simulations, and key regions are located in Northwest and Northeast-North China; while WSDI increases mostly in Southeast China, FD decreases mostly in the Tibetan Plateau. The results indicate that the response of these regions to global warming is robust, that is, these regions are truly more sensitive to global warming and will suffer severe effects, whether under which warming scenarios.…”
Section: Resultsmentioning
confidence: 99%
“…In other regions elsewhere, such as East Asia, North America, Europe, and Australia, there have been extensive studies on climate change impacts at 1.5 and/or 2 °C of global warming (e.g., H. Chen & Sun, ; King & Karoly, ; King et al, ; Li, Zhou, et al, ; Li, Zou, & Zhou, ; Yohe, ). Limiting global warming to 1.5 °C instead of 2 °C may have benefits of avoiding 35–46% of the increases in extreme temperature events in terms of intensity, duration, and frequency across East Asia (Li, Zhou, et al, ).…”
Section: Introductionmentioning
confidence: 99%
“…King et al 2017, Nangombe et al 2018, Zhang et al 2018, Zhou et al 2018. Among them, the CMIP (Coupled Models Intercomparison Project) models and dynamical downscaling with regional models have been widely used to access changes in precipitation extremes in different regions of the world (King et al 2017, Zhang and Villarini 2017, Aerenson et al 2018, Chevuturi et al 2018, Dosio and Fischer 2018, Li et al 2018b, Li et al 2018c, Li et al 2018d, Nikulin et al 2018, Zhou et al 2019. Results from the HAPPI (Half-a-degree Additional warming, Prognosis and Projected Impacts) project (Mitchell et al 2017) have also been used to reveal mean precipitation changes in East Asia (Lee et al 2018).…”
Section: Introductionmentioning
confidence: 99%