气候变化研究进展 ›› 2019, Vol. 15 ›› Issue (1): 1-11.doi: 10.12006/j.issn.1673-1719.2018.004

• 气候系统变化 •    下一篇

BCC_CSM1.1气候模式年代际试验对北极涛动季节回报能力的初步评估

伍丽泉1,2,李清泉1,2,丁一汇2,王黎娟1,辛晓歌2,魏敏3   

  1. 1 南京信息工程大学气象灾害教育部重点实验室/气候与环境变化国际合作联合实验室/气象灾害预报预警与评估协同创新中心,南京 210044
    2 国家气候中心 中国气象局气候研究开放实验室,北京 100081
    3 中国气象局国家气象信息中心,北京 100081
  • 收稿日期:2018-01-12 修回日期:2018-04-13 出版日期:2019-01-30 发布日期:2019-01-30
  • 作者简介:伍丽泉,女,硕士研究生;王黎娟(通信作者),女,教授,wljfw@163.com
  • 基金资助:
    资助项目:国家自然科学基金项目(41790471);国家重点基础研究发展计划(2016YFA0602200);国家重点基础研究发展计划(2012CB955203);国家重点基础研究发展计划(2013CB430202)

Preliminary assessment on the seasonal hindcast skill of the Arctic Oscillation with decadal experiment by BCC_CSM1.1 climate model

Li-Quan WU1,2,Qing-Quan LI1,2,Yi-Hui DING2,Li-Juan WANG1,Xiao-Ge XIN2,Min WEI3   

  1. 1 Key Laboratory of Meteorological Disaster, Ministry of Education/Joint International Research Laboratory of Climate and Environment Change/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science &Technology (NUIST), Nanjing 210044, China;
    2 Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing 100081, China
    3 National Meteorological Information Center, China Meteorological Administration, Beijing 100081, China;
  • Received:2018-01-12 Revised:2018-04-13 Online:2019-01-30 Published:2019-01-30

摘要:

本文基于国家气候中心气候系统模式BCC_CSM1.1自1960—2004年每年起报的年代际预测试验结果,初步评估了该模式对北极涛动(AO)的预报技巧。同时,把该模式年代际预测结果与历史试验模拟比较,分析了气候模式初始化对年代际试验预测季节尺度AO及其年际变化的贡献。结果表明,年代际试验和历史试验均能反映出AO模态是北半球中高纬大气变率第一模态的特征,其中年代际预测试验回报的AO模态与观测的空间相关系数高于历史试验。两组试验基本能再现AO指数冬季最强、夏季最弱的特征。与历史试验相比,年代际预测试验回报月和冬季AO指数与观测的相关系数更高,特别是年代际试验与观测的月AO指数相关系数达到了0.1的显著性水平。年代际试验回报月、春季AO指数的变化周期更接近观测结果。因此,年代际试验中初始状态使用海温资料进行初始化,在一定程度上可以提高AO的回报能力。

关键词: BCC_CSM1.1, 气候模式, 年代际, 北极涛动(AO), 季节回报

Abstract:

This study assesses projection skill of Arctic Oscillation (AO) in initialized decadal experiment with the Beijing Climate Center Climate System Model (BCC_CSM1.1). As compared with the observations and uninitialized historical experiment, the contribution of climate model initialization to predict the seasonal scale AO and its interannual variations is estimated. Results show that the spatial correlation coefficient of AO mode, which depicts the dominant mode of the extra-tropical atmospheric variability, simulated by the decadal experiment is higher than that in the historical experiment. The two groups of experiments can basically reproduce the characteristics of the strongest winter AO index and the weakest summer index. Compared with historical experiment, the correlation coefficient of the monthly and winter AO index is higher in the decadal experiment. In particular, the correlation coefficient of the monthly AO index between the decadal simulations and the observation reached 0.1 significant level. Furthermore, the periodicity of the monthly and spring AO index are achieved only in the decadal experiment. Hence, the hindcast skill of AO is robust when the initial state is initialized by sea surface temperature data.

Key words: BCC_CSM1.1, Climate model, Decadal, Arctic Oscillation (AO), Seasonal hindcast

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