Atmospheric teleconnection associated with the Atlantic multidecadal variability in summer: assessment of the CESM1 model
Atmospheric teleconnection associated with the Atlantic multidecadal variability in summer: assessment of the CESM1 model
复制标题
与夏季大西洋数十年变化相关的大气遥相关:CESM1 模型的评估
DOI:
10.1007/s00382-022-06331-z
复制
发表时间:
2022-06
期刊:
影响因子:
4.6
通讯作者:
Xianmei Lang
中科院分区:
文献类型:
--
作者:
Dong Si;Aixue Hu;Dabang Jiang;Xianmei Lang
Observational analysis shows that the Atlantic multidecadal variability (AMV) is associated with climate variability in the Northern Hemisphere through a zonal atmospheric teleconnection extending from the North Atlantic Ocean and propagating eastward around the Northern Hemisphere. We studied the fidelity of model simulations in reproducing the observed summer AMV and the associated impacts on the mid-latitude climate by analysing simulations using the National Centre for Atmospheric Research Community Earth System Model Version 1 (CESM1), including CESM1 North Atlantic idealized and pacemaker simulations, CESM1 large ensemble twentieth century uninitialized simulations and large ensemble initialized CESM1 decadal predictions. To further compare the fidelity of CESM1, we also analysed large ensemble simulations from three other models. Our results suggest that the uninitialized large ensemble simulations from all models can produce an AMV time evolution and its regional climate impacts similar to the observations to certain degree. By initializing the observed oceanic condition in decadal prediction simulations, the simulated AMV and its regional impacts are closer to the observed ones than those in uninitialized ensemble simulations. In addition, the pacemaker simulations that nudged the time-evolving observed North Atlantic sea surface temperature anomalies produce spatiotemporal characteristics of the AMV and AMV climate impacts closer to the observed ones than the uninitialized simulations. We conclude that although coupled models can produce AMV and its regional impacts similar to observed, proper initialization and bias correction of the sea surface temperature spatial and temporal structure can improve this capability.
登录
查看更多内容
影响因子:
5.2
作者:
Rong‐Hua Zhang;T. Delworth
通讯作者:
Rong‐Hua Zhang;T. Delworth
影响因子:
4.9
作者:
Si, Dong;Ding, Yihui
通讯作者:
Ding, Yihui
影响因子:
4.9
作者:
Yang Qing;Ma Zhuguo;Fan Xingang;Yang Zong-Liang;Xu Zhongfeng;Wu Peili
通讯作者:
Wu Peili
影响因子:
4.9
作者:
J. Yin;R. Stouffer
通讯作者:
J. Yin;R. Stouffer
影响因子:
5.2
作者:
Hu, Aixue;Meehl, Gerald A.;Chikamoto, Megume O.
通讯作者:
Chikamoto, Megume O.