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Spatial analysis of future East Asian seasonal temperature using two regional climate model simulations

机译:使用两个区域气候模型模拟对未来东亚季节性温度的空间分析

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摘要

CORDEX-East Asia, a branch of the coordinated regional climate downscaling experiment (CORDEX) initiative, provides high-resolution climate simulations for the domain covering East Asia. This study analyzes temperature data from regional climate models (RCMs) participating in the CORDEX - East Asia region, accounting for the spatial dependence structure of the data. In particular, we assess similarities and dissimilarities of the outputs from two RCMs, HadGEM3-RA and RegCM4, over the region and over time. A Bayesian functional analysis of variance (ANOVA) approach is used to simultaneously model the temperature patterns from the two RCMs for the current and future climate. We exploit nonstationary spatial models to handle the spatial dependence structure of the temperature variable, which depends heavily on latitude and altitude. For a seasonal comparison, we examine changes in the winter temperature in addition to the summer temperature data. We find that the temperature increase projected by RegCM4 tends to be smaller than the projection of HadGEM3-RA for summers, and that the future warming projected by HadGEM3-RA tends to be weaker for winters. Also, the results show that there will be a warming of 1-3A degrees C over the region in 45 years. More specifically, the warming pattern clearly depends on the latitude, with greater temperature increases in higher latitude areas, which implies that warming may be more severe in the northern part of the domain.
机译:CORDEX-东亚是区域气候减缩协调实验(CORDEX)计划的一个分支,为涵盖东亚的区域提供高分辨率的气候模拟。这项研究分析了来自参与CORDEX-东亚地区的区域气候模型(RCM)的温度数据,并说明了数据的空间依赖性结构。特别是,我们评估了两个RCM(HadGEM3-RA和RegCM4)在该地区和一段时间内的输出的相似性和相异性。使用贝叶斯方差泛函分析(ANOVA)方法同时对两个RCM的当前和未来气候的温度模式进行建模。我们利用非平稳空间模型来处理温度变量的空间依赖性结构,该温度变量在很大程度上取决于纬度和高度。为了进行季节性比较,除夏季温度数据外,我们还检查了冬季温度的变化。我们发现,RegCM4预测的夏季增温趋势往往小于HadGEM3-RA的预测,而HadGEM3-RA预测的未来变暖趋势在冬季趋于减弱。此外,结果表明,在45年内,该地区将出现1-3A摄氏度的变暖。更具体地说,变暖模式显然取决于纬度,较高纬度区域的温度升高幅度更大,这意味着在该区域的北部变暖可能更加严重。

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