| 协调大集合模拟下全球海表面温度对北极对流层早冬增暖的影响 |
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| 作者单位： | School of Atmospheric Science, Chengdu University of Information Technology, Chengdu, China;Nansen-Zhu International Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing China;Nansen Environmental and Remote Sensing Center and Bjerknes Centre for Climate Research, Bergen, Norway;Climate Change Research Center, Chinese Academy of Sciences, Beijing, China;Nansen-Zhu International Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing China;Joint Laboratory for Climate and Environmental Change, Chengdu University of Information Technology, Chengdu, China;Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China;Nansen-Zhu International Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing China;Climate Change Research Center, Chinese Academy of Sciences, Beijing, China |
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| 基金项目： | grant number 2017YFE0111800.and the National Natural Science Foundation of China;This work was supported by the National Key R&D Program of China;grant numbers 41790472 and 41661144005;The second author was also partly supported by the EU H2020 Blue-Action project;grant number 727852 |
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| 摘 要： | 本文使用六个不同的最新大气模式进行了协调数值集合实验,评估和量化了全球海表面温度(SST)对1982-2014年冬季早期北极变暖的影响.本研究设计了两组实验:在第一组(EXP1)中,将OISSTv2逐日变化的海冰密集度和SST数据作为下边界强迫场;在第二组(EXP2)中,将逐日变化的SST数据替换为逐日气候态.结果表明...
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| 关 键 词： | 北极增暖 海表面温度 多模式协调试验 E-P通量 行星波 |
Impact of global sea surface temperature on the recent early winter Arctic tropospheric warming in coordinated large ensemble simulations |
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| Lutao Wang,Yongqi Gao,Dong Guo,Tao Wang,Ying Zhang,Wei Hua. Impact of global sea surface temperature on the recent early winter Arctic tropospheric warming in coordinated large ensemble simulations[J]. Atmospheric and Oceanic Science Letters, 2021, 14(1): 57-62 |
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| Authors: | Lutao Wang Yongqi Gao Dong Guo Tao Wang Ying Zhang Wei Hua |
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| Abstract: | Coordinated numerical ensemble experiments with six different state-of-the-art atmosphere models were used to evaluate and quantify the impact of global SST (from reanalysis data) on the early winter Arctic warming during 1982-2014.Two sets of experiments were designed: in the first set (EXP1),OISSTv2 daily sea-ice concentration and SST variations were used as the lower boundary forcing,while in the second set (EXP2) the SST data were replaced by the daily SST climatology.In the results,the multi-model ensemble mean of EXP1 showed a nearsurface (～850 hPa) warming trend of 0.4 ℃/10 yr,which was 80％ of the warming trend in the reanalysis.The simulated warming trend was robust across the six models,with a magnitude of 0.36-0.50 ℃/10 yr.The global SST could explain most of the simulated warming trend in EXP1 in the mid and low troposphere over the Arctic,and accounted for 58％ of the simulated near-surface warming.The results also suggest that the uppertropospheric warming (～200 hPa) over the Arctic in the reanalysis is likely not a forced signal;rather,it is caused by natural climate variability.The source regions that can potentially impact the early winter Arctic warming are explored and the limitations of the study are discussed. |
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| Keywords: | Arctic warming Sea surface temperature Multi-model coordinated experiment Eliassen-Palm flux Planetary wave |
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