...
首页> 外文期刊>Geophysical Research Letters >Robustness of climate change signals in near term predictions up to the year 2030: Changes in the frequency of temperature extremes
【24h】

Robustness of climate change signals in near term predictions up to the year 2030: Changes in the frequency of temperature extremes

机译:到2030年的近期预测中,气候变化信号的鲁棒性:极端温度的频率变化

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

This is the first study to examine whether human contributions to changes in extreme temperature indices have larger amplitudes than natural variability in near future ( up to 2030) climate prediction. We performed 10 runs of the initial condition perturbed ensemble of a coupled atmosphere-ocean general circulation model. In the near future, over most land areas, all 10 runs predict more frequent occurrences of warm nights and warm days, and less frequent cold nights and cold days, suggesting that human influences have become larger than natural variability. The fraction of areas where all runs agree on the direction of changes over land is less sensitive to ensemble sizes ( for warm nights, 96% and 93% for 4 runs and 10 runs, respectively). The changes in the frequency of warm and cold extremes are mainly due to shifts in seasonal mean temperatures. Additionally snow cover affects the frequency of cold extremes in some areas.
机译:这是第一项研究在不久的将来(直到2030年)的气候预测中人类对极端温度指数变化的贡献是否大于自然变化的幅度。我们进行了10次耦合大气-海洋总循环模型的初始条件扰动合奏。在不久的将来,在大多数陆地区域,所有10条运行都预测暖夜和暖天的发生频率更高,而冷夜和冷天的频率降低,这表明人类的影响已超过自然变异。所有运行在土地变化方向上均一致的区域比例对总体大小不太敏感(在温暖的夜晚,对于4个运行和10个运行分别为96%和93%)。极端温度和极端温度的变化主要是由于季节性平均温度的变化。另外,积雪会影响某些地区极端寒冷的频率。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号