首页 | 本学科首页   官方微博 | 高级检索  
相似文献
 共查询到18条相似文献,搜索用时 187 毫秒
1.
石细平 《浙江气象》2008,29(2):12-17
利用1948-2005年2.5°×2.5°的NCEP/NCAR再分析月平均高度场资料、温度场资料和高空风场资料,对冬季东亚-北太平洋区域环流进行了分析。结果表明,阿留申低压加深,西伯利亚高压减弱。500hPa高度场上,我国除了东北之外的其他地区位势高度存在明显的升高趋势;东亚温带西风急流和西太平洋西风急流增强,西太平洋西风急流存在向东延伸的趋势,东亚冬季风强度减弱;58年来冬季东亚-北太平洋区域内大陆上空大气变暖,海洋上空大气变冷,两者的温度差值增大。我国青藏高原和黄土高原变暖趋势明显。  相似文献   

2.
利用NCEP/NCAR再分析资料系统地分析了2005年与2006年冬季欧亚大陆的气温和东亚冬季风的差别及其与北半球准定常波活动的关系。分析结果表明:2005年冬季欧亚大陆中、高纬度地区气温偏低,东亚冬季风偏强;而2006年冬季欧亚大陆中、高纬度地区气温偏高,出现暖冬,东亚冬季风偏弱。分析结果还表明,这两年冬季东亚冬季风的差别不仅是由于西伯利亚高压和阿留申低压的变异所造成,而且是由于北极涛动(北半球环状模)的变化所造成。并且,作者还从这两年冬季北半球准定常行星波活动的差异,在动力理论上进一步讨论了这两年冬季北半球气候和东亚冬季风差异的机理。结果表明:2005年冬季北半球行星波活动为低指数,准定常行星波在高纬度往平流层传播加强,而往低纬度对流层上层传播减弱,造成了行星波E-P通量在高纬度地区对流层中、上层辐合加强,而在副热带地区对流层中、上层辐散加强,引起了北半球高纬度地区极锋急流减弱,而副热带急流加强,这有利于西伯利亚高压的发展,从而引起了东亚冬季风增强;相反,2006年冬季北半球行星波活动为高指数,准定常行星波在高纬度往平流层传播减弱,而往低纬度对流层上层传播加强,造成了行星波E-P通量在高纬度地区对流层中、上层辐散加强,而在副热带地区对流层中、上层辐合加强,引起了北半球高纬度地区极锋急流加强,而副热带急流减弱,这不利于西伯利亚高压的发展,从而引起了东亚冬季风减弱。  相似文献   

3.
黄荣辉  魏科  陈际龙 《大气科学》2007,31(6):1033-1048
利用NCEP/NCAR再分析资料系统地分析了2005年与2006年冬季欧亚大陆的气温和东亚冬季风的差别及其与北半球准定常波活动的关系。分析结果表明:2005年冬季欧亚大陆中、高纬度地区气温偏低,东亚冬季风偏强; 而2006年冬季欧亚大陆中、高纬度地区气温偏高,出现暖冬,东亚冬季风偏弱。分析结果还表明,这两年冬季东亚冬季风的差别不仅是由于西伯利亚高压和阿留申低压的变异所造成,而且是由于北极涛动 (北半球环状模) 的变化所造成。并且,作者还从这两年冬季北半球准定常行星波活动的差异,在动力理论上进一步讨论了这两年冬季北半球气候和东亚冬季风差异的机理。结果表明:2005年冬季北半球行星波活动为低指数,准定常行星波在高纬度往平流层传播加强,而往低纬度对流层上层传播减弱,造成了行星波E-P通量在高纬度地区对流层中、上层辐合加强,而在副热带地区对流层中、上层辐散加强,引起了北半球高纬度地区极锋急流减弱,而副热带急流加强,这有利于西伯利亚高压的发展,从而引起了东亚冬季风增强;相反,2006年冬季北半球行星波活动为高指数,准定常行星波在高纬度往平流层传播减弱,而往低纬度对流层上层传播加强,造成了行星波E-P通量在高纬度地区对流层中、上层辐散加强, 而在副热带地区对流层中、上层辐合加强,引起了北半球高纬度地区极锋急流加强,而副热带急流减弱,这不利于西伯利亚高压的发展,从而引起了东亚冬季风减弱。  相似文献   

4.
不同年代际背景下AO与冬季中国东北气温的关系   总被引:3,自引:1,他引:2  
采用1951—2006年北极涛动指数序列、NCEP/NCAR再分析资料和我国160站气温资料,利用滑动相关分析研究了不同年代际背景下北极涛动与冬季中国东北气温年际异常关系的变化情况。结果表明,两者的关系在20世纪60年代中后期显著增强,在80年代中后期减弱。不同年代际背景下,与AO相关联的中高纬度大气环流异常发生的明显改变是AO与东北冬季气温关系发生年代际变化的原因。强相关年代,西伯利亚高压与阿留申低压均明显减弱,东亚冬季风偏弱,对流层中下层异常东南风控制东北地区,对流层中层东亚大槽明显减弱,环流的经向性减弱,使该地区冬季气温偏高;相关较弱的年代则以上表现不明显。  相似文献   

5.
陈文  康丽华 《大气科学》2006,30(5):863-870
利用NCEP/NCAR再分析资料和我国160站月平均气温资料,首先采用线性回归的方法分析了从1958至1998年40个冬季北极涛动(AO)与东亚气候异常的关系.结果表明,当AO处于正位相时,东亚地区200 hPa的急流明显北跳,东亚大槽显著减弱,而在中国的华北、东北到西伯利亚出现大范围的地表南风异常,使得低空从西伯利亚到我国的东北、华北以及韩国、日本有显著的暖异常; 而当AO处于负位相时,则往往出现相反的情形.进一步的相关和合成分析发现,准定常行星波活动可以在AO与东亚气候之间起到桥梁作用.AO可以通过影响中高纬平流层下层的西风强弱,进而影响到准定常行星波的垂直传播,使得对流层下层中高纬地区的行星波振幅发生变化,从而导致低层的西伯利亚高压和阿留申低压同时减弱或增强,最终导致东亚地区异常偏暖或偏冷; 其中低层中高纬地区纬向波数2的扰动对西伯利亚高压和阿留申低压的变化起了最主要的作用.作者提出的AO通过影响准定常行星波的活动而导致东亚气候异常的机理,不但强调了西伯利亚高压的贡献,而且特别从波动的意义上强调了阿留申低压的重要性.文中还讨论了值得进一步研究的有关问题.  相似文献   

6.
夏季东亚高空西风急流气候特征分析   总被引:2,自引:0,他引:2  
利用NCEP/NCAR全球再分析风场资料定义了西风急流强度指数和位置指数,然后利用EOF方法对西风急流进行了进一步的分析,分析了高空西风急流的空间分布特征,从强度和位置两方面分析了西风急流与东亚环流及其与海温的关系。分析表明: EOF第一模态反映了东亚高空急流的位置指数,第二模态反映了高空急流的强度指数。东亚高空急流与对流层大气环流包括南亚高压,西太平洋副热带高压,东亚夏季风存在着密切关系,其气候变化与热带副热带东太平洋、印度洋海温密切相关。  相似文献   

7.
夏季东亚西风急流扰动异常与副热带高压关系研究   总被引:7,自引:1,他引:7       下载免费PDF全文
利用1979—2003年NCEP/NCAR月平均再分析资料, 探讨夏季 (6—8月) 200 hPa东亚西风急流扰动异常与南亚高压和西太平洋副热带高压的关系。研究指出:夏季200 hPa东亚西风急流扰动动能加强 (减弱), 东亚西风急流位置偏南 (偏北)、强度偏强 (偏弱); 东亚西风急流扰动动能强弱不仅与北半球西风急流强弱和沿急流的定常扰动有关, 而且还与东亚地区高、中、低纬南北向的扰动波列有关, 亚洲地区是北半球中纬度环球带状波列异常最大的区域。夏季200 hPa东亚西风急流扰动动能加强 (减弱), 南亚高压的特征为位置偏东 (偏西)、强度加强 (减弱); 西太平洋副热带高压的特征为位置偏南 (偏北)。东亚环流特别是500 hPa西太平洋副热带高压对东亚西风带扰动异常的响应由高空东亚西风急流南侧的散度场及其对流层中下层热带和副热带地区的垂直速度距平场变化完成。  相似文献   

8.
东亚冬季风气候变异和机理以及平流层过程的影响   总被引:19,自引:5,他引:14       下载免费PDF全文
陈文  魏科  王林  周群 《大气科学》2013,37(2):425-438
本文综述了近几年来关于东亚冬季风变异特征和机理方面的研究,特别对平流层过程对东亚冬季风和气候异常的可能影响作了回顾和进一步分析.东亚冬季风的变异除了季风强弱变化外,还有东亚冬季风的路径变化;研究表明,前者往往对应全国气温一致的变化,而后者可以引起我国气温的南北反相振荡,并导致东亚冬季风变异存在南北两个子系统.此外,进入本世纪后,东亚冬季风的建立推迟,并且东亚冬季风在盛期明显减弱,但冬季风活动在早春比以往要更为活跃,这些变化与冬季气温南北反相变化也有密切的联系.进一步的分析揭示出东亚气温的南北反相变化是东亚冬季风变异的主要模态之一,而且它与平流层极涡强度密切相关.当异常的平流层极涡向下传播时,可以引起对流层低层北极涛动(AO)的异常以及西伯利亚高压的异常,并在东亚地区出现南北反相的温度变化.有关东亚冬季风变异的成因研究表明,上世纪70年代中后期以后,热带厄尔尼诺—南方涛动(ENSO)的影响变弱,而中高纬的北太平洋涛动(NPO)和乌拉尔地区阻塞强度的影响显著增强,相关研究还揭示了这些变化的原因.此外,东亚冬季风在1987年以后的持续减弱主要与准定常行星波活动年代际变化有关,行星波活动通过波流相互作用可以影响AO以及西伯利亚高压和阿留申低压,从而导致冬季风异常.最后,本文还讨论了太阳活动11年周期变化对东亚冬季气候异常的可能影响和过程.  相似文献   

9.
20世纪90年代末东亚冬季风年代际变化特征及其内动力成因   总被引:10,自引:4,他引:6  
为纪念陶诗言先生对东亚冬季风研究的杰出贡献,本文利用我国测站、NCEP/NCAR和ERA-40/ERA-Interim再分析资料分析了我国冬季气温和东亚冬季风在20世纪90年代末所发生的年代际跃变特征及其内动力成因。分析结果表明:从20世纪90年代末之后,我国冬季气温和东亚冬季风发生了明显的年代际跃变。从1999年之后,随着东亚冬季风从偏弱变偏强,我国冬季气温变化从全国一致变化型变成南北振荡型(即北冷南暖型),并由于从1999年之后我国北方冬季气温从偏高变成偏低,故冬季低温雪暴冰冻灾害频繁发生,同时,我国冬季气温和东亚冬季风年际变化在此时期从以往3~4 a周期年际变化变成2~8 a周期;并且,结果还表明了东亚冬季风此次年代际变化是由于西伯利亚高压和阿留申低压的加强所致。本文还从北极涛动(AO)和北半球准定常行星波活动的动力理论进一步讨论了此次东亚冬季风年代际跃变的内动力成因及其机理,结果表明:从20世纪90年代末之后,北半球冬季准定常行星波在高纬地区沿极地波导传播到平流层加强,而沿低纬波导传播到副热带对流层上层减弱,这造成了行星波E-P通量在高纬度地区对流层和平流层辐合加强,而在副热带地区对流层中、上层辐散加强,因而导致了北半球高纬度地区从对流层到平流层纬向平均纬向流和欧亚上空极锋急流减弱,而副热带急流加强,这造成了AO减弱和东亚冬季风加强。  相似文献   

10.
东亚冬季风综合指数及其表达的东亚冬季风年际变化特征   总被引:19,自引:4,他引:15  
贺圣平  王会军 《大气科学》2012,36(3):523-538
本文通过多变量经验正交函数展开 (multivariate EOF, 简称 MV-EOF) 研究了东亚冬季风各系统成员的协同关系, 再运用单变量EOF定义单个系统的强度系数。从而给出能够反映东亚冬季风各主要特征及其年际变化、同时包含西伯利亚高压、东亚大槽和纬向风经向切变信息的强度指数 (EAWMII)。分析表明, 这个新指数EAWMII能够很好地反映东亚冬季风在20世纪80年代中期的减弱信号, 并且与大气环流场以及东亚冬季表面温度的变化均显著相关, 能够在很大程度上表征东亚冬季风的综合特征。此外, EAWMII与北极涛动 (Arctic Oscillation, 简称AO) 指数、北太平洋涛动 (North Pacific Oscillation, 简称NPO) 指数和Nio3.4指数相关显著。分析还表明AO和NPO影响东亚冬季气候的区域有所不同: AO主要影响欧亚大陆中、高纬、我国东北以及日本北部等地区, NPO则主要影响华南、华东、朝鲜、韩国以及日本中南部及其附近海域。并且, AO很可能可以通过影响NPO进而影响东亚冬季风。  相似文献   

11.
Based on the simulation results derived from ECHO-G global coupled climate model, several East Asian winter monsoon (EAWM) indices are compared in order to choose the most suitable one for signaling the intensity of winter monsoon in the last millennium. The index I_shi, which is defined with normalized sea level pressure difference between sea and land in mid and low latitudes, is selected to describe the winter monsoon intensity variation owing to its better capability for reflecting the variation of winter monsoon subsystems, such as the continental high pressure, Aleutian low, East Asian major trough, westerly jet stream, and surface air temperature than the other indices examined. Wavelet analysis on index I_shi shows that the EAWM intensity is characterized by multi-timescale variation with inter-annual, decadal, inter-decadal and inter-centennial oscillations on the background of a slight descending trend. Correlation analysis between the EAWM index and sea surface temperature (SST) at various timescales reveals that the SST in mid-latitudes might provide the background of the EAWM strength changes above decadal timescales, and a negative-feedback process lasting for about two years is found between the EAWM intensity and the SST in the eastern equatorial Pacific. According to the correlation, the El Nino occurrence in the second-half of the year leads to weaker EAWM than normal in the following winter and the weakened EAWM corresponds to lower SST in eastern equatorial Pacific after about half a year, which will then strengthen the EAWM intensity in the next winter. It is a stable feedback process and its mechanism is discussed.  相似文献   

12.
Using the output data of 20 coupled climate models used in IPCC AR4 and observational data from NCEP, the capability of the models to simulate the boreal winter climatology of the East Asian sea level pressure, 850-hPa wind, and surface air temperature; the decadal variations of the East Asian winter mon- soon (EAWM) intensity and EAWM-related circulation, and the interdecadal variations of EAWM-related circulation are systematically evaluated. The results indicate that 16 models can weakly simulate the declin- ing trend of the EAWM in the 1980s. More than half of the models produce relatively reasonable decadal variations of the EAWM-related circulation and the interdecadal di?erences of EAWM-related circulation between the boreal winters of 1960-1985 and 1986-1998, including the weakened Siberian high, Aleutian low, and East Asian trough, the enhanced Arctic oscillation and North Pacific oscillation, and a deepened polar vortex. It is found that the performance of the multi-selected-model ensemble in reproducing the spatial dis- tribution of the variations is encouraging, although the variational amplitudes are generally smaller than the observations. In addition, it is found that BCCR_BCM2.0, CGCM3.1_T63, CNRM_CM3, CSIRO_MK3.0, GISS-ER, INM_CM3.0, and MRI_CGCM2.3.2 perform well in every aspect  相似文献   

13.
Using the output data of 20 coupled climate models used in IPCC AR4 and observational data from NCEP, the capability of the models to simulate the boreal winter climatology of the East Asian sea level pressure, 850-hPa wind, and surface air temperature; the decadal variations of the East Asian winter monsoon (EAWM) intensity and EAWM-related circulation, and the interdecadal variations of EAWM-related circulation are systematically evaluated. The results indicate that 16 models can weakly simulate the declining trend of the EAWM in the 1980s. More than half of the models produce relatively reasonable decadal variations of the EAWM-related circulation and the interdecadal differences of EAWM-related circulation between the boreal winters of 1960-1985 and 1986-1998, including the weakened Siberian high, Aleutian low, and East Asian trough, the enhanced Arctic oscillation and North Pacific oscillation, and a deepened polar vortex. It is found that the performance of the multi-selected-model ensemble in reproducing the spatial distribution of the variations is encouraging, although the variational amplitudes are generally smaller than the observations. In addition, it is found that BCCR-BCM2.0, CGCM3.1-T63, CNRM-CM3, CSIRO-MK3.0, GISS-ER, INM-CM3.0, and MRI-CGCM2.3.2 perform well in every aspect.  相似文献   

14.
Using the NCEP/NCAR reanalysis data (Version 1.0) and the observation data of China from January 1951 to February 2007, a new index of East Asian winter monsoon circulation (I EAWM) was defined based on the comparison of previous different winter monsoon indices and circulation factors influencing the winter climate over China. Its relationships with winter temperature over China and large-scale circulation were analyzed. Results show that IEAWM can successfully describe the variation of China's mainland winter temperature and the East Asian winter monsoon (EAWM) system. This index reflects the integrated effect of the circulations over high and low latitudes and the thermal difference between the continent and the ocean. While in the previous studies, most monsoon indices only describe the single monsoon member. The IEAWM is a good indicator of the intensity of the EAWM. Positive values of/EAWM correspond to the strong EAWM, the stronger Siberian high and East Asian trough than normal , and the strengthening of the meridional shear of 500-hPa zonal wind between high and low latitudes over East Asia, and therefore, the southward cold advection becomes stronger and leads to the decrease in surface temperature over China; and vice versa. The IEAWM inter decadal change is obviously positive before the mid-1980s, but negative since the mid-1980s, in good agreement with the fact of the winter warming in China after 1985.  相似文献   

15.
冬季北极涛动和华北冬季气温变化关系研究   总被引:33,自引:6,他引:33  
利用北极涛动指数(AOI)、NCEP/NCAR40a再分析资料中的海平面气压(SLP)、850、500、200hPa等压面高度场资料及中国160站月平均气温资料,运用小波分析,经验正交函数(EOF)分析等方法,分析了华北冬季气温和冬季北极涛动指数的变化特征及其关系。结果表明它们之间存在有着显著相关,特别是在年代际尺度上关系尤其密切。华北在20世纪70年代初以前为持续冷冬,80年代中期之后变为持续暖冬,其间相对正常,而冬季北极涛运指数亦存在类似的3个阶段,冬季北极涛动高(低)低数年,华北地区为暖(冷)冬年。其原因在于,北极涛动在于对流层低层和高层都可激发类似EU遥相关型的异常,通过影响西伯利亚高压和东亚大槽影响华北地区气温。强(弱)涛运年大气环流具有弱(强)东亚冬季风特征,西伯利亚高压减弱(增强),亚洲大陆地面东北风减弱(增强),高空东亚大槽减弱(增强)。  相似文献   

16.
Instead of conventional East Asian winter monsoon indices(EAWMIs), we simply use two large-scale teleconnection patterns to represent long-term variations in the EAWM. First, the Urals blocking pattern index(UBI) is closely related to cold air advection from the high latitudes towards western Siberia, such that it shows an implicit linkage with the Siberian high intensity and the surface air temperature(SAT) variations north of 40?N in the EAWM region. Second, the well-known western Pacific teleconnection index(WPI) is connected with the meridional displacement of the East Asian jet stream and the East Asian trough. This is strongly related to the SAT variations in the coastal area south of 40?N in the EAWM region.The temperature variation in the EAWM region is also represented by the two dominant temperature modes, which are called the northern temperature mode(NTM) and the southern temperature mode(STM). Compared to 19 existing EAWMIs and other well-known teleconnection patterns, the UBI shows the strongest correlation with the NTM, while the WPI shows an equally strong correlation with the STM as four EAWMIs. The UBI–NTM and WPI–STM relationships are robust when the correlation analysis is repeated by(1) the 31-year running correlation and(2) the 8-year high-pass and low-pass filter. Hence,these results are useful for analyzing the large-scale teleconnections of the EAWM and for evaluating this issue in climate models. In particular, more studies should focus on the teleconnection patterns over extratropical Eurasia.  相似文献   

17.
This paper presents a concise summary of the studies on interdecadal variability of the East Asian winter monsoon (EAWM) from three main perspectives. (1) The EAWM has been significantly affected by global climate change. Winter temperature in China has experienced three stages of variations from the beginning of the 1950s: a cold period (from the beginning of the 1950s to the early or mid 1980s), a warm period (from the early or mid 1980s to the early 2000s), and a hiatus period in recent 10 years (starting from 1998). The strength of the EAWM has also varied in three stages: a stronger winter monsoon period (1950 to 1986/87), a weaker period (1986/87 to 2004/05), and a strengthening period (from 2005). (2) Corresponding to the interdecadal variations of the EAWM, the East Asian atmospheric circulation, winter temperature of China, and the occurrence of cold waves over China have all exhibited coherent interdecadal variability. The upper-level zonal circulation was stronger, the mid-tropospheric trough over East Asia was deeper with stronger downdrafts behind the trough, and the Siberian high was stronger during the cold period than during the warm period. (3) The interdecadal variations of the EAWM seem closely related to major modes of variability in the atmospheric circulation and the Pacific sea surface temperature. When the Northern Hemisphere annular mode/Arctic Oscillation and the Pacific decadal oscillation were in negative (positive) phase, the EAWM was stronger (weaker), leading to colder (warmer) temperatures in China. In addition, the negative (positive) phase of the Atlantic multi decadal oscillation coincided with relatively cold (warm) temperatures and stronger (weaker) EAWMs. It is thus inferred that the interdecadal variations in the ocean may be one of the most important natural factors influencing long-term variability in the EAWM, although global warming may have also played a significant role in weakening the EAWM.  相似文献   

18.
This study investigates the space–time evolution of the East Asian winter monsoon (EAWM) and its relationship with other climate subsystems. Cyclostationary Empirical Orthogonal Function (CSEOF) analysis and the multiple regression method are used to delineate the detailed evolution of various atmospheric and surface variables in connection with the EAWM. The 120 days of winter (November 17–March 16) per year over 62 years (1948–2010) are analyzed using the NCEP daily reanalysis dataset. The first CSEOF mode of 850-hPa temperatures depicts the seasonal evolution of the EAWM. The contrast in heat capacity between the continent and the northwestern Pacific results in a differential heating in the lower troposphere. Its temporal evolution drives the strengthening and weakening of the Siberian High and the Aleutian Low. The anomalous sea level pressure pattern dictates anomalous circulation, in compliance with the geostrophic relationship. Thermal advection, in addition to net surface radiation, partly contributes to temperature variations in winter. Latent and sensible heat fluxes (thermal forcing from the ocean to the atmosphere) increase with decreased thermal advection. Anomalous upper-level circulation is closely linked to the low-level temperature anomaly in terms of the thermal wind equation. The interannual variability of the seasonal cycle of the EAWM is strongly controlled by the relative strength of the Siberian High to the Aleutian Low. A stronger than normal gradient between the two pressure systems amplifies the seasonal cycle of the EAWM. The EAWM seasonal cycle in the mid-latitude region exhibits a weak negative correlation with the Arctic Oscillation and the East Atlantic/West Russia indices.  相似文献   

设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号