2019
DOI: 10.1002/joc.6115
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Projected changes in autumn rainfall over West China: Results from an ensemble of dynamical downscaling simulations

Abstract: Autumn rainfall in West China, the last rainy season of China, exerts profound impacts on the economic society, therefore, researches on its changes in the context of a warmer world are crucial for better adaptation to climate change. Using the dynamical downscaling performed by the regional climate model RegCM4 from four global climate models, this study firstly evaluated the fidelity of the RegCM4 simulations on the mean and extreme aspects of autumn rainfall in West China, and then projected their changes d… Show more

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Cited by 15 publications
(12 citation statements)
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“…In addition, these four GCMs come from different model groups and roughly cover the range of CMIP5 models' climate sensitivities, with CSIRO‐Mk3.6.0 in the low sensitivity group, EC‐EARTH and MPI‐ESM‐MR in the medium sensitivity group, and HadGEM2‐ES in the high sensitivity group, as measured by the transient climate response (TCR) (IPCC, 2013; Chen et al ., 2019). This set of dynamical downscaling simulations developed as a part of the CORDEX has already been applied in some studies, for instance, for the projection of changes in the climate extreme indices (Wu et al ., 2020), rainfall and snowfall (Zhou et al ., 2018, 2019), haze (Han et al ., 2017), and thermal comfort condition (Gao et al ., 2018) in China.…”
Section: Methodsmentioning
confidence: 99%
“…In addition, these four GCMs come from different model groups and roughly cover the range of CMIP5 models' climate sensitivities, with CSIRO‐Mk3.6.0 in the low sensitivity group, EC‐EARTH and MPI‐ESM‐MR in the medium sensitivity group, and HadGEM2‐ES in the high sensitivity group, as measured by the transient climate response (TCR) (IPCC, 2013; Chen et al ., 2019). This set of dynamical downscaling simulations developed as a part of the CORDEX has already been applied in some studies, for instance, for the projection of changes in the climate extreme indices (Wu et al ., 2020), rainfall and snowfall (Zhou et al ., 2018, 2019), haze (Han et al ., 2017), and thermal comfort condition (Gao et al ., 2018) in China.…”
Section: Methodsmentioning
confidence: 99%
“…Journal of Geophysical Research: Atmospheres CN05.1 comprises eight variables, including daily mean, maximum and minimum temperature, precipitation, wind speed, evaporation, relative humidity, and sunshine durations. Previous studies have shown that CN05.1 is comparable to CN05 (Xu et al, 2009), EA05 (Xie et al, 2007), and APHRO (Yatagai et al, 2009) and is widely used in the validation of climate models over China (Luo et al, 2020;Xu et al, 2018;Zhou et al, 2019).…”
Section: Datamentioning
confidence: 96%
“…In recent decades, the frequency and intensity of climate extreme events (for instance, precipitation extremes, drought, floods, etc.) induced by global warming has increased significantly, exerting severe impacts on the development of society as well as ecosystems (Sun et al 2019;Zhai, Zhou, and Chen 2018;Zhou et al 2019). Hence, exploring climate extreme events and changes thereof is of paramount importance for climate change mitigation and decision-making.…”
Section: Introductionmentioning
confidence: 99%