A forecast sensitivity study on the intensity change of Typhoon Sinlaku (2008)

被引:7
作者
Chu, Kekuan [1 ,2 ,3 ]
Xiao, Qingnong [3 ]
Tan, Zhe-min [1 ,2 ]
Gu, Jianfeng [1 ,2 ]
机构
[1] Nanjing Univ, Key Lab Mesoscale Severe Weather MOE, Nanjing 210093, Jiangsu, Peoples R China
[2] Nanjing Univ, Sch Atmospher Sci, Nanjing 210093, Jiangsu, Peoples R China
[3] Univ S Florida, Coll Marine Sci, St Petersburg, FL 33701 USA
基金
中国国家自然科学基金;
关键词
EARLY RAPID INTENSIFICATION; TROPICAL CYCLONES; ADJOINT; HURRICANE; ASSIMILATION; IMPACT; INITIALIZATION; SIMULATION; CONVECTION; EVOLUTION;
D O I
10.1029/2011JD016127
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Typhoon Sinlaku (2008), one of the super typhoons in the western North Pacific in 2008, had two distinct periods of rapid intensification (RI). Using the newly developed Weather Research and Forecasting adjoint modeling system, the forecast sensitivity to the initial conditions during Sinlaku's first RI was investigated. The highly sensitive region influencing the intensity change during RI of Sinlaku was found to be located over the storm core region and its vicinity. The forecast sensitivity signatures occurred in almost all vertical levels. The storm intensity was found to be most sensitive to low-level initial moisture, indicating the accurate initialization of moisture near the initial storm center and that its vicinity plays a crucial role in subsequent intensity forecasts. The targeted experiment based on the adjoint-derived sensitivities further verified that the assimilation of moisture observations near the storm core region had a remarkable impact on the forecast of rapid intensification of the Sinlaku (2008). These results highlight the potential value of adjoint method in the targeted observations in tropical cyclones' intensity forecasts.
引用
收藏
页数:13
相关论文
共 57 条
  • [1] Ancell B. C, 2006, J ATMOS SCI, V63, P2971
  • [2] The Variability of Adjoint Sensitivity with Respect to Model Physics and Basic-State Trajectory
    Ancell, Brian C.
    Mass, Clifford F.
    [J]. MONTHLY WEATHER REVIEW, 2008, 136 (12) : 4612 - 4628
  • [3] Barker DM, 2004, MON WEATHER REV, V132, P897, DOI 10.1175/1520-0493(2004)132<0897:ATVDAS>2.0.CO
  • [4] 2
  • [5] Berliner LM, 1999, J ATMOS SCI, V56, P2536, DOI 10.1175/1520-0469(1999)056<2536:SDFAWO>2.0.CO
  • [6] 2
  • [7] Challa M, 1998, J ATMOS SCI, V55, P2201, DOI 10.1175/1520-0469(1998)055<2201:CEFSAA>2.0.CO
  • [8] 2
  • [9] Cooper G. A., 2009, ANN TROPICAL CYCLONE
  • [10] Davis C.A., 2001, The NCAR-AFWA tropical cyclone bogusing scheme