Chengcheng NI, Guoping LI, Xiaozhen XIONG. 2017: Analysis of a Vortex Precipitation Event over Southwest China Using AIRS and In Situ Measurements. Adv. Atmos. Sci, 34(4): 559-570., https://doi.org/10.1007/s00376-016-5262-4
Citation: Chengcheng NI, Guoping LI, Xiaozhen XIONG. 2017: Analysis of a Vortex Precipitation Event over Southwest China Using AIRS and In Situ Measurements. Adv. Atmos. Sci, 34(4): 559-570., https://doi.org/10.1007/s00376-016-5262-4

Analysis of a Vortex Precipitation Event over Southwest China Using AIRS and In Situ Measurements

  • A strong precipitation event caused by the southwest vortex (SWV), which affected Sichuan Province and Chongqing municipality in Southwest China on 10-14 July 2012, is investigated. The SWV is examined using satellite observations from AIRS (Atmospheric Infrared Sounder), in situ measurements from the SWV intensive observation campaign, and MICAPS (Marine Interactive Computer-Aided Provisioning System) data. Analysis of this precipitation process revealed that: (2) heavy rain occurred during the development phase, and cloud water content increased significantly after the dissipation of the SWV; (3) the area with low outgoing longwave radiation values from AIRS correlated well with the SWV; (4) variation of the temperature of brightness blackbody (TBB) from AIRS reflected the evolution of the SWV, and the values of TBB reduced significantly during the SWV's development; and (5) strong temperature and water vapor inversions were noted during the development of the SWV. The moisture profile displayed large vertical variation during the SWV's puissant phase, with the moisture inversion occurring at low levels. The moisture content during the receding phase was significantly reduced compared with that during the developing and puissant phases. The vertical flux of vapor divergence explained the variation of the moisture profile. These results also indicate the potential for using AIRS products in studying severe weather over the Tibetan Plateau and its surroundings, where in situ measurements are sparse.
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