Advanced Search
Impact Factor: 5.8

Volume 18 Issue 5

Sep.  2001

Article Contents
Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2001 >  18(5): 692-700

The Relationship between the Meridional Profile of Zonal mean Geostrophic Wind and Station Wave at 500 hPa

  • 1.

    Chengdu University of Information Technology, Chengdu 610041,Department of Atmospheric Sciences, University of Washington, Seattle, U.S.A.,Department of Atmospheric Sciences, University of Washington, Seattle, U.S.A.

  • The sea-level pressure (SLP), 500 hPa height, zonal-mean 500 hPa height ([Z500]), stationary wave ed dy component of the 500 hPa height (Z*500) and zonal-mean 500 hPa geostrophic wind [Ug ] fields poleward of 20N are examined for the period 1958-1997, with emphasis on the winter season. The relationships be tween the Arctic Oscillation (AO)index and algebraic difference of the zonal-mean wind in 55N and 35N (Ut) index were investigated, making use the Monte Carlo procedure, Singular Value Decomposition (SVD), Empirical orthogonal function (EOF) and regression method. The leading modes of empirical orthogonal function (EOF＇s) of SLP are more robust than the 500 hPa height EOF＇s, not only in the ratio of the two largest eigenvalues, but in more zonally symmetric. Comparing the meridional profiles of zonal-mean wind amplitude associated with the AO and Ut index, the profiles for the two indexes are very similar, both with respect to amplitude and the placement of the maximum and minimum. Comparing the station wave component of 500 hPa height field regressed upon the AO and Ut index, there is one-to-one correspondence between all the major centers of action in the two maps, especially in the North Atlantic and Eurasian continent. The pattern is unlike the prominent teleconnection patterns, they have hemispheric ex tent and cannot be interpreted in term of the individual wavetrains.
  • [1] Pavla PEKAROVA, Jan PEKAR, 2007: Teleconnections of Inter-Annual Streamflow Fluctuation in Slovakia with Arctic Oscillation, North Atlantic Oscillation, Southern Oscillation, and Quasi-Biennial Oscillation Phenomena, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 655-663.  doi: 10.1007/s00376-007-0655-z
    [2] Sining LING, Riyu LU, Hao LIU, Yali YANG, 2023: Interannual Meridional Displacement of the Upper-Tropospheric Westerly Jet over Western East Asia in Summer, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 1298-1308.  doi: 10.1007/s00376-022-2279-8
    [3] LU Riyu, LI Ying, Buwen DONG, 2007: Arctic Oscillation and Antarctic Oscillation in Internal Atmospheric Variability with an Ensemble AGCM Simulation, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 152-162.  doi: 10.1007/s00376-007-0152-4
    [4] SHI Ning, and BUEH Cholaw, 2013: Three-dimensional dynamic features of two Arctic oscillation types, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1039-1052.  doi: 10.1007/s00376-012-2077-9
    [5] HUANG Jiayou, TAN Benkui, SUO Lingling, HU Yongyun, 2007: Monthly Changes in the Influence of the Arctic Oscillation on Surface Air Temperature over China, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 799-807.  doi: 10.1007/s00376-007-0799-x
    [6] GONG Daoyi, Helge DRANGE, 2005: A Preliminary Study on the Relationship Between Arctic Oscillation and Daily SLP Variance in the Northern Hemisphere During Wintertime, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 313-327.  doi: 10.1007/BF02918745
    [7] YANG Hui, 2011: The Significant Relationship between the Arctic Oscillation (AO) in December and the January Climate over South China, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 398-407.  doi: 10.1007/s00376-010-0019-y
    [8] LIU Xiying, ZHANG Xuehong, YU Yongqiang, YU Rucong, 2004: Mean Climatic Characteristics in High Northern Latitudes in an Ocean-Sea Ice-Atmosphere Coupled Model, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 236-244.  doi: 10.1007/BF02915710
    [9] GAO Yongqi, SUN Jianqi, LI Fei, HE Shengping, Stein SANDVEN, YAN Qing, ZHANG Zhongshi, Katja LOHMANN, Noel KEENLYSIDE, Tore FUREVIK, SUO Lingling, 2015: Arctic Sea Ice and Eurasian Climate: A Review, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 92-114.  doi: 10.1007/s00376-014-0009-6
    [10] Laura DE LA TORRE, Luis GIMENO, Juan Antonio A\~NEL, Raquel NIETO, 2007: The Role of the Solar Cycle in the Relationship Between the North Atlantic Oscillation and Northern Hemisphere Surface Temperatures, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 191-198.  doi: 10.1007/s00376-007-0191-x
    [11] Chuhan LU, 2017: A Modified Algorithm for Identifying and Tracking Extratropical Cyclones, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 909-924.  doi: 10.1007/s00376-017-6231-2
    [12] Shuang YU, Jiangjiang XIA, Zhongwei YAN, Kun YANG, 2018: Changing Spring Phenology Dates in the Three-Rivers Headwater Region of the Tibetan Plateau during 1960-2013, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 116-126.  doi: 10.1007/s00376-017-6296-y
    [13] Ki-Seon CHOI, Baek-Jo KIM, Chee-Young CHOI, Jae-Cheol NAM, 2009: Cluster Analysis of Tropical Cyclones Making Landfall on the Korean Peninsula, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 202-210.  doi: 10.1007/s00376-009-0202-1
    [14] Odd Helge OTTERA, 2008: Simulating the Effects of the 1991 Mount Pinatubo Volcanic Eruption Using the ARPEGE Atmosphere General Circulation Model, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 213-226.  doi: 10.1007/s00376-008-0213-3
    [15] LI Xiaofeng, LI Jianping, Xiangdong ZHANG, 2013: A Two-way Stratosphere-Troposphere Coupling of Submonthly Zonal-Mean Circulations in the Arctic, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1771-1785.  doi: 10.1007/s00376-013-2210-4
    [16] LIU Shan, WANG Huijun, 2013: Transition of Zonal Asymmetry of the Arctic Oscillation and the Antarctic Oscillation at the End of 1970s, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 41-47.  doi: 10.1007/s00376-012-2027-6
    [17] Guojing LI, Dongxiao WANG, Changming DONG, Jiayi PAN, Yeqiang SHU, Zhenqiu ZHANG, 2024: Frontogenesis and Frontolysis of a Cold Filament Driven by the Cross-Filament Wind and Wave Fields Simulated by a Large Eddy Simulation, ADVANCES IN ATMOSPHERIC SCIENCES, 41, 509-528.  doi: 10.1007/s00376-023-3037-2
    [18] Wang Shaowu, Todd P. Mitchell, John M. Wallace, 1987: ZONAL AND MERIDIONAL CIRCULATIONS IN THE EQUA-TORIALZONE AS DEDUCED FROM THE DIVERGENCE FIELD OF THE SURFACE WIND, ADVANCES IN ATMOSPHERIC SCIENCES, 4, 432-446.  doi: 10.1007/BF02656743
    [19] CHEN Bomin, JI Liren, YANG Peicai, ZHANG Daomin, 2003: Systematic Errors of Zonal-Mean Flow in Dynamical Monthly Prediction and Its Improvement, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 17-27.  doi: 10.1007/BF03342046
    [20] Zheng Xingyu, Zeng Qingcun, Huang Ronghui, 1992: The Propagation of Inertia-Gravity Waves and Their Influence on Zonal Mean Flow Part Two: Wave Breaking and Critical Levels, ADVANCES IN ATMOSPHERIC SCIENCES, 9, 29-36.  doi: 10.1007/BF02656927
PDF

Get Citation+

shu
Export:  

Share Article

Article Metrics

Article Views: 1767 Times

PDF downloads: 1255 Times

Cited by: Times
  • 加载中

    • Manuscript History

    Manuscript received: 10 September 2001
    Manuscript revised: 10 September 2001
    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    The Relationship between the Meridional Profile of Zonal mean Geostrophic Wind and Station Wave at 500 hPa

    • 1. Chengdu University of Information Technology, Chengdu 610041,Department of Atmospheric Sciences, University of Washington, Seattle, U.S.A.,Department of Atmospheric Sciences, University of Washington, Seattle, U.S.A.
    • Manuscript received: 2001-09-10
    • Manuscript revised: 2001-09-10

    Abstract: The sea-level pressure (SLP), 500 hPa height, zonal-mean 500 hPa height ([Z500]), stationary wave ed dy component of the 500 hPa height (Z*500) and zonal-mean 500 hPa geostrophic wind [Ug ] fields poleward of 20N are examined for the period 1958-1997, with emphasis on the winter season. The relationships be tween the Arctic Oscillation (AO)index and algebraic difference of the zonal-mean wind in 55N and 35N (Ut) index were investigated, making use the Monte Carlo procedure, Singular Value Decomposition (SVD), Empirical orthogonal function (EOF) and regression method. The leading modes of empirical orthogonal function (EOF＇s) of SLP are more robust than the 500 hPa height EOF＇s, not only in the ratio of the two largest eigenvalues, but in more zonally symmetric. Comparing the meridional profiles of zonal-mean wind amplitude associated with the AO and Ut index, the profiles for the two indexes are very similar, both with respect to amplitude and the placement of the maximum and minimum. Comparing the station wave component of 500 hPa height field regressed upon the AO and Ut index, there is one-to-one correspondence between all the major centers of action in the two maps, especially in the North Atlantic and Eurasian continent. The pattern is unlike the prominent teleconnection patterns, they have hemispheric ex tent and cannot be interpreted in term of the individual wavetrains.

      HTML

    Catalog

      Publish with AAS

      Contact us

      Links

      Copyright © 2018-2028 ADVANCES IN ATMOSPHERIC SCIENCES 京ICP备14024088号-7

      Supported by: Beijing Renhe Information Technology Co. Ltd  support: info@rhhz.net  

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return