摘要
利用1951—2022年ERA5再分析大气环流资料和国家气候中心全国站点气温和降水资料,将33个常用的东亚冬季风(EAWM)指数划分为海陆差异类、高压特征类、大槽特征类、低层风场类、中高层风场类和综合类6类,按类别对比分析了它们的线性变化趋势和年际、年代际变化特征,并就各指数对中国冬季气温、降水时空变化的表征能力以及与厄尔尼诺-南方涛动(ENSO)、北极涛动(AO)等气候系统主要内部变率的关系进行了评估分析。结果显示:(1)在趋势变化方面,中国冬季气候暖湿化特征明显,但仅大槽特征类和综合类指数反映出季风的减弱趋势,其余类型指数则多呈现微弱的增强趋势,表明EAWM各子成员对当前全球变暖的响应存在差异;(2)在年际、年代际变化方面,EAWM指数主要表现为准4 a、准8 a和准16 a的周期振荡,基本都能刻画出20世纪80年代中后期EAWM的年代际减弱,对于21世纪第1个10年中期EAWM的年代际增强,考虑了南北气压差的海陆差异类指数以及高压特征类、大槽特征类和中高层风场类指数能较好表征;(3)在反映中国冬季气温变率的能力方面,除低层风场类指数外,各类指数表现良好,尤其是高压特征类指数的表征能力最佳,而在降水变率方面,高压特征类指数的代表性较差,低层风场类指数的指示意义最好;(4)在与气候系统主要内部变率的关系方面,大多数指数能较好反映ENSO与EAWM之间的关系,其中低层风场类指数的表征能力最好。而在反映AO与EAWM的关系上,则是高压特征类和大槽特征类指数的表现更佳。总体而言,除趋势变化存在较大差异外,各类EAWM指数能够一致地反映中国冬季气候变化的主要特征,但不同类别指数所表征的侧重点存在差异。因此,在分析EAWM相关科学问题时应根据研究的目的选择合适的指数。
Based on the ERA5 atmospheric reanalysis dataset and the stational surface air temperature(SAT)and precipitation data from China National Climate Centre during 1951—2022,33 East Asian winter monsoon(EAWM)indices are selected and categorized into six types,namely the land-sea sea-level pressure(SLP)difference indices,the Siberian high indices,the East Asian trough indices,the low-level wind indices,the mid-to high-level wind indices,and the synthetic indices.Characteristics of their long-term linear trends and interannual and interdecadal variabilities are then analyzed.Their abilities to represent the spatiotemporal variability of winter SAT and precipitation in China and their relationships with major internal variabilities of the climate system such as the El Niño-Southern Oscillation(ENSO)and the Arctic Oscillation(AO)are also evaluated.The results are as follows:(1)In terms of long-term trend,although winter climate in China is characterized by an obvious warming and wetting trend,only the East Asian trough and the synthetic indices exhibit a significant weakening trend,while other indices basically show a weak strengthening trend.This result suggests that there are certain differences in the responses of different sub-members of the EAWM to current global warming.(2)On the interannual and interdecadal variability,the EAWM indices mainly show characteristics of quasi-4 a,quasi-8 a and quasi-16 a periodic oscillations.Most of the indices can well capture the interdecadal weakening of the EAWM that occurred around the mid to late 1980s.Meanwhile,the Siberian high indices,the East Asian through indices,the mid-to high-level wind indices and the land-sea SLP difference indices which consider the north-south SLP difference,show a good representation of the interdecadal strengthening of the EAWM that occurred in the mid-2000s.(3)All types of indices,except the low-level wind indices,perform well in reflecting the SAT variability in China.In particular,the indices based on the Siberian high show the best performance.The winter precipitation variability in China is best described by the low-level wind indices,while the Siberian high indices show relatively poor representation.(4)Regarding the relationship between major internal variability of the climate system and the EAWM,most of the indices show an excellent performance in reflecting the ENSO-EAWM relationship,among which the low-level wind indices show the best ability.The AO-EAWM relationship is best reflected by the Siberian high and the East Asian trough indices.In general,except for the considerable differences in the long-term trend,all types of EAWM indices can consistently reflect main characteristics of winter climate change in China.However,different categories of indices emphasize different aspects.Therefore,appropriate indices should be selected according to the purpose of the study in analyzing scientific issues related to the EAWM.
作者
敖康顺
耿新
张文君
王林
AO Kangshun;GENG Xin;ZHANG Wenjun;WANG Lin(Key Laboratory of Meteorological Disaster of 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 and Technology,Nanjing 210044,China;Center for Monsoon System Research,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China)
出处
《气象学报》
CAS
CSCD
北大核心
2024年第2期168-189,共22页
Acta Meteorologica Sinica
基金
国家自然科学基金项目(42125501)。
关键词
东亚冬季风指数
年际变化
年代际变化
ENSO
北极涛动
East Asian winter monsoon index
Interannual variability
Interdecadal variability
ENSO
Arctic Oscillation