An Environmentally Forced Tropical Cyclone Hazard Model

被引:109
作者
Lee, Chia-Ying [1 ]
Tippett, Michael K. [2 ,3 ]
Sobel, Adam H. [2 ,4 ]
Camargo, Suzana J. [4 ]
机构
[1] Columbia Univ, Internat Res Inst Climate & Soc, Palisades, NY 10964 USA
[2] Columbia Univ, Dept Appl Phys & Appl Math, New York, NY USA
[3] King Abdulaziz Univ, Dept Meteorol, Jeddah, Saudi Arabia
[4] Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY USA
来源
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS | 2018年 / 10卷 / 01期
关键词
GENESIS POTENTIAL INDEX; CYCLOGENESIS; PERFORMANCE; HURRICANES; TRACKS;
D O I
10.1002/2017MS001186
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A new statistical-dynamical model is developed for estimating the long-term hazard of rare, high impact tropical cyclones events globally. There are three components representing the complete storm lifetime: an environmental index-based genesis model, a beta-advection track model, and an autoregressive intensity model. All three components depend upon the local environmental conditions, including potential intensity, relative sea surface temperature, 850 and 250 hPa steering flow, deep-layer mean vertical shear, 850 hPa vorticity, and midlevel relative humidity. The hazard model, using 400 realizations of a 32 year period (approximately 3,000 storms per realization), captures many aspects of tropical cyclone statistics, such as genesis and track density distribution. Of particular note, it simulates the observed number of rapidly intensifying storms, a challenging issue in tropical cyclone modeling and prediction. Using the return period curve of landfall intensity as a measure of local tropical cyclone hazard, the model reasonably simulates the hazard in the western north Pacific (coastal regions of the Philippines, China, Taiwan, and Japan) and the Caribbean islands. In other regions, the observed return period curve can be captured after a local landfall frequency adjustment that forces the total number of landfalls to be the same as that observed while allowing the model to freely simulate the distribution of intensities at landfall.
引用
收藏
页码:223 / 241
页数:19
相关论文
共 35 条
  • [1] AIR WORLDWIDE, 2015, TECHNICAL REPORT
  • [2] Low frequency variability of tropical cyclone potential intensity 2. Climatology for 1982-1995
    Bister, M
    Emanuel, KA
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2002, 107 (D22) : ACL5 - 1
  • [3] Investigating the Use of a Genesis Potential Index for Tropical Cyclones in the North Atlantic Basin
    Bruyere, Cindy L.
    Holland, Greg J.
    Towler, Erin
    [J]. JOURNAL OF CLIMATE, 2012, 25 (24) : 8611 - 8626
  • [4] Camargo SJ, 2007, TELLUS A, V59, P428, DOI [10.1111/j.1600-0870.2007.00238.x, 10.1111/J.1600-0870.2007.00238.X]
  • [5] Use of a genesis potential index to diagnose ENSO effects on tropical cyclone genesis
    Camargo, Suzana J.
    Emanuel, Kerry A.
    Sobel, Adam H.
    [J]. JOURNAL OF CLIMATE, 2007, 20 (19) : 4819 - 4834
  • [6] Testing the Performance of Tropical Cyclone Genesis Indices in Future Climates Using the HiRAM Model
    Camargo, Suzana J.
    Tippett, Michael K.
    Sobel, Adam H.
    Vecchi, Gabriel A.
    Zhao, Ming
    [J]. JOURNAL OF CLIMATE, 2014, 27 (24) : 9171 - 9196
  • [7] Effects of vertical wind shear and storm motion on tropical cyclone rainfall asymmetries deduced from TRMM
    Chen, Shuyi S.
    Knaff, John A.
    Marks, Frank D., Jr.
    [J]. MONTHLY WEATHER REVIEW, 2006, 134 (11) : 3190 - 3208
  • [8] Chu J.-H., 2002, The Joint Typhoon Warning Center tropical cyclone best-tracks, 1945-2000
  • [9] The ERA-Interim reanalysis: configuration and performance of the data assimilation system
    Dee, D. P.
    Uppala, S. M.
    Simmons, A. J.
    Berrisford, P.
    Poli, P.
    Kobayashi, S.
    Andrae, U.
    Balmaseda, M. A.
    Balsamo, G.
    Bauer, P.
    Bechtold, P.
    Beljaars, A. C. M.
    van de Berg, L.
    Bidlot, J.
    Bormann, N.
    Delsol, C.
    Dragani, R.
    Fuentes, M.
    Geer, A. J.
    Haimberger, L.
    Healy, S. B.
    Hersbach, H.
    Holm, E. V.
    Isaksen, L.
    Kallberg, P.
    Koehler, M.
    Matricardi, M.
    McNally, A. P.
    Monge-Sanz, B. M.
    Morcrette, J. -J.
    Park, B. -K.
    Peubey, C.
    de Rosnay, P.
    Tavolato, C.
    Thepaut, J. -N.
    Vitart, F.
    [J]. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2011, 137 (656) : 553 - 597
  • [10] A statistical deterministic approach to hurricane risk assessment
    Emanuel, K
    Ravela, S
    Vivant, E
    Risi, C
    [J]. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2006, 87 (03) : 299 - +