doi:  10.3878/j.issn.1006-9895.1709.17150
不同卫星微波遥感资料同化对台风路径模拟的影响

Effects of assimilating microwave remote sensing data of different satellite on the simulation of typhoon track
摘要点击 845  全文点击 57  投稿时间:2017-04-08  修订日期:2017-06-27
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基金:  国家自然科学基金
中文关键词:  台风路径,数值模拟,同化,AMSU-A资料,增量场
英文关键词:  typhoon  track, numerical  simulation, assimilation, AMSU-A  data, incremental  field.
              
作者中文名作者英文名单位
王业桂Wang Yegui中科院大气物理研究所
张斌Zhang Bin中科院大气物理研究所
蔡其发Cai Qifa中科院大气物理研究所
黄勇Huang Yong中科院大气物理研究所
兰伟仁Lan Weiren中科院大气物理研究所
引用:王业桂,张斌,蔡其发,黄勇,兰伟仁.2018.不同卫星微波遥感资料同化对台风路径模拟的影响[J].大气科学
Citation:Wang Yegui,Zhang Bin,Cai Qifa,Huang Yong,Lan Weiren.2018.Effects of assimilating microwave remote sensing data of different satellite on the simulation of typhoon track[J].Chinese Journal of Atmospheric Sciences (in Chinese)
中文摘要:
      本文以2015年13号超强台风“苏迪罗”为个例,利用WRF模式及其3DVar同化系统对NOAA15、NOAA18和 NOAA19的AMSU-A微波遥感资料分别同化及组合同化,探究同化不同卫星的同一种微波遥感资料对于台风路径模拟效果的影响。结果表明:同化不同卫星的同一种微波遥感资料对于台风路径模拟具有不同的调整,本文中NOAA15的同化效果最好,其次是NOAA18,最后是NOAA19;其次,同时同化NOAA15、NOAA18和 NOAA19的AMSU-A资料并没有取得最好的同化效果,而组合NOAA15和NOAA18则取得了最好的同化效果,即不是同化的卫星数量越多,同化效果越好;最后,同化试验3个时刻的增量场表明同化不同卫星的同一种微波遥感资料对物理场具有不同的调整,这与其对台风模拟路径的调整有着较好的对应,相对于温度场,海平面气压场、位势高度场和风场的增量结构与模拟台风路径的调整更为密切。
Abstract:
      In this paper, based on the case of super typhoon “soudelor” (Number 13, 2015), AMSU-A microwave remote sensing data of NOAA15, NOAA18 and NOAA19 are assimilated respectively and combinationally using the WRF model and its 3DVar assimilation systems, which aims to investigate the effects on the simulation of typhoon track when assimilating the same kind of microwave remote sensing data for different satellites. The results demonstrated: assimilating the same kind of microwave remote sensing data of different satellites led to different adjustment on the simulation of typhoon track, in this paper, the assimilation effect of NOAA15 is the best, followed by NOAA18, and finally NOAA19; Secondly, assimilating the AMSU-A data of NOAA15, NOAA18 and NOAA19 simutaneously did not achieve the best assimilation effects, and assimilating the AMSU-A data of NOAA15 and NOAA18 combinationally achieve the best assimilation effects, this indicated that assimilating more satellites’ observation data not necessarily led to better assimilation effect; lastly, the incremental field of three moments for assimilation experiments demonstrated that assimilating the same kind of microwave remote sensing data for different satellites led to different adjustment on physical fields, which well corresponds to the adjustments on the simulation of typhoon track, in comparison to the incremental structure of temperature field, sea-level pressure filed , the incremental structure of geopotential height and wind field are more correspond to the adjustment for the simulation of typhoon track.
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