A climatology of Rossby wave generation in the middle atmosphere of the Southern Hemisphere from MERRA reanalysis

被引:5
|
作者
Rodas, Claudio [1 ]
Pulido, Manuel [1 ,2 ,3 ]
机构
[1] Univ Nacl Nordeste, FACENA, Dept Phys, Corrientes, Argentina
[2] CNRS, UMI, IFAECI, Corrientes, Argentina
[3] Consejo Nacl Invest Cient & Tecn, IMIT, Corrientes, Argentina
关键词
4-DAY WAVE; DATA ASSIMILATION; PLANETARY-WAVES; LOWER THERMOSPHERE; CIRCULATION; MESOSPHERE; DRAG; STRATOSPHERE; INSTABILITY; MODELS;
D O I
10.1002/2017JD026597
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A climatological characterization of Rossby wave generation events in the middle atmosphere of the Southern Hemisphere is conducted using 20 years of Modern-Era Retrospective Analysis for Research and Applications (MERRA) reanalysis. An automatic detection technique of wave generation events is developed and applied to MERRA reanalysis. The Rossby wave generation events with wave period of 1.25 to 5.5 days and zonal wave number from one to three dominate the Eliassen-Palm flux divergence around the stratopause at high latitudes in the examined 20 year period. These produce an eastward forcing of the general circulation between May and mid-August in that region. Afterward from mid-August to the final warming date, Rossby wave generation events are still present but the Eliassen-Palm flux divergence in the polar stratopause is dominated by low-frequency Rossby waves that propagate from the troposphere. The Rossby wave generation events are associated with potential vorticity gradient inversion, and so they are a manifestation of the dominant barotropic/ baroclinic unstable modes that grow at the cost of smearing the negative meridional gradient of potential vorticity. The most likely region of wave generation is found between 60 degrees and 80 degrees S and at a height of 0.7 hPa, but events were detected from 40 hPa to 0.3 hPa (which is the top of the examined region). The mean number of events per year is 24, and its mean duration is 3.35 days. The event duration follows an exponential distribution.
引用
收藏
页码:8982 / 8997
页数:16
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