Interannual variability of the Antarctic ozone hole in a GCM .1. The influence of tropospheric wave variability

被引:0
|
作者
Shindell, DT [1 ]
Wong, S [1 ]
Rind, D [1 ]
机构
[1] COLUMBIA UNIV,CTR CLIMATE SYST RES,NEW YORK,NY
关键词
D O I
10.1175/1520-0469(1997)054<2308:IVOTAO>2.0.CO;2
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
To study the interannual variability of the Antarctic ozone hole, a physically realistic parameterization of the chemistry responsible for severe polar ozone loss has been included in the GISS GCM. The ensuing ozone hole agrees well with observations, as do modeled surface UV increases of up to 42%. The presence of the ozone hole causes a reduction in lower stratospheric solar heating and an increase in upper stratospheric descent and dynamical heating in the model, as expected. Both the degree of ozone depletion and the dynamical response exhibit large interannual variability, however. These variations are driven by differences in the midwinter buildup of tropospheric wave energy in the model, which affect the dynamics globally for several months according to the mechanism detailed herein. Starting by July, strong tropospheric wave activity lends to greater energy reaching the lower stratosphere, and therefore warmer temperatures, than in years with weak wave activity. The warmer temperatures persist throughout the austral spring, resulting in ozone losses that are only similar to 80% of those seen in the years with weaker wave activity. Significant differences also occur in the zonal Hind field, setting up conditions that ultimately affect the propagation of wave energy in the spring. Differences in the propagation of wave energy lead to an October increase in upper stratospheric dynamical heating that is more than three times larger in the years with weak wave activity than in years with strong wave activity. Modeled interannual variations in both upper stratospheric temperatures and ozone loss are of similar magnitude to observations, though the largest observed variations exceed those seen here, indicating that unforced variability likely plays a significant role in addition to periodic forcings such as the QBO. The results are in accord with observational studies showing a strong anticorrelation between the interannual variability of tropospheric wave forcing and of the Antarctic ozone hole, suggesting that midwinter tropospheric wave energy may be the best predictor of the severity of the ozone hole the following spring.
引用
收藏
页码:2308 / 2319
页数:12
相关论文
共 50 条
  • [41] Tropospheric ozone variability over the Iberian Peninsula
    Kulkarni, Pavan S.
    Bortoli, D.
    Salgado, R.
    Anton, M.
    Costa, M. J.
    Silva, A. M.
    ATMOSPHERIC ENVIRONMENT, 2011, 45 (01) : 174 - 182
  • [42] Characterising the seasonal and geographical variability in tropospheric ozone, stratospheric influence and recent changes
    Williams, Ryan S.
    Hegglin, Michaela I.
    Kerridge, Brian J.
    Jockel, Patrick
    Latter, Barry G.
    Plummer, David A.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (06) : 3589 - 3620
  • [43] Global tropospheric ozone dynamicsPart I: Tropospheric ozone precursors Part II: Numerical modelling of tropospheric ozone variability
    Kirill Ya. Kondratyev
    Costas A. Varotsos
    Environmental Science and Pollution Research, 2001, 8 : 57 - 62
  • [44] Observed Antarctic Interannual Climate Variability and Tropical Linkages
    Schneider, David P.
    Okumura, Yuko
    Deser, Clara
    JOURNAL OF CLIMATE, 2012, 25 (12) : 4048 - 4066
  • [45] Low frequency variability of tropical cyclone potential intensity - 1. Interannual to interdecadal variability
    Bister, M
    Emanuel, KA
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2002, 107 (D24) : ACL26 - 1
  • [46] Rossby wave breaking and its impact on tropospheric ozone variability over the Indian subcontinent
    Biyo, Thomas
    Kunchala, Ravi Kumar
    Singh, Bhupendra Bahadur
    Kumar, Kondapalli Niranjan
    ATMOSPHERIC ENVIRONMENT, 2025, 343
  • [48] A GCM SIMULATION OF GLOBAL CLIMATE INTERANNUAL VARIABILITY - 1950-1988
    SMITH, IN
    JOURNAL OF CLIMATE, 1995, 8 (04) : 709 - 718
  • [49] The interannual variability of the Madden-Julian Oscillation in an ensemble of GCM simulations
    Gualdi, S
    Navarra, A
    Tinarelli, G
    CLIMATE DYNAMICS, 1999, 15 (09) : 643 - 658
  • [50] Simulation of interannual variability of tropical storm frequency in an ensemble of GCM integrations
    Anderson, JL
    Stern, WF
    Vitart, F
    22ND CONFERENCE ON HURRICANES AND TROPICAL METEOROLOGY, 1997, : 579 - 580