Influence of Sea Surface Temperature on the Predictability of Idealized Tropical Cyclone Intensity

被引:3
|
作者
Zhong Quan-jia [1 ]
Li Jian-ping [2 ,3 ]
Li Shu-wen [4 ]
Wang Yuan [5 ]
Ding Rui-giang [1 ,6 ]
Zhang Li-feng [5 ]
机构
[1] Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R China
[2] Ocean Univ China, Multispheres & Earth Syst FDOMES, Key Lab Phys Oceanog, Acad Future Oceans, Qingdao 266100, Shandong, Peoples R China
[3] Pilot Qingdao Natl Lab Marine Sci & Technol, Lab Ocean Dynam & Climate, Qingdao 266100, Shandong, Peoples R China
[4] Chinese Acad Sci, Inst Atmospher Phys, Key Lab Cloud Precipitat Phys & Severe Storms LAC, Beijing 100029, Peoples R China
[5] Natl Univ Def Technol, Coll Meteorol & Oceanog, Nanjing 211101, Peoples R China
[6] Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
基金
中国国家自然科学基金;
关键词
predictability; nonlinear local Lyapunov exponent; signal-to-noise ratios; tropical cyclone intensity; sea surface temperature; VERTICAL WIND SHEAR; POTENTIAL PREDICTABILITY; RESOLUTION; IMPACT; PREDICTION; INTENSIFICATION; SENSITIVITY; MODEL; CNOP;
D O I
10.46267/j.1006-8775.2021.031
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The role of sea surface temperature (SST) forcing in the development and predictability of tropical cyclone (TC) intensity is examined using a large set of idealized numerical experiments in the Weather Research and Forecasting (WRF) model. The results indicate that the onset time of rapid intensification of TC gradually decreases, and the peak intensity of TC gradually increases, with the increased magnitude of SST. The predictability limits of the maximum 10 m wind speed (MWS) and minimum sea level pressure (MSLP) are similar to 72 and similar to 84 hours, respectively. Comparisons of the analyses of variance for different simulation time confirm that the MWS and MSLP have strong signal-to-noise ratios (SNR) from 0-72 hours and a marked decrease beyond 72 hours. For the horizontal and vertical structures of wind speed, noticeable decreases in the magnitude of SNR can be seen as the simulation time increases, similar to that of the SLP or perturbation pressure. These results indicate that the SST as an external forcing signal plays an important role in TC intensity for up to 72 hours, and it is significantly weakened if the simulation time exceeds the predictability limits of TC intensity.
引用
收藏
页码:355 / 367
页数:13
相关论文
共 50 条
  • [31] Idealized Study of Ocean Impacts on Tropical Cyclone Intensity Forecasts
    Halliwell, G. R., Jr.
    Gopalakrishnan, S.
    Marks, F.
    Willey, D.
    MONTHLY WEATHER REVIEW, 2015, 143 (04) : 1142 - 1165
  • [32] Effects of Sea Spray on the Dynamics and Microphysics of an Idealized Tropical Cyclone
    Shpund, J.
    Khain, A.
    Rosenfeld, D.
    JOURNAL OF THE ATMOSPHERIC SCIENCES, 2019, 76 (08) : 2213 - 2234
  • [33] Global tropical cyclone precipitation scaling with sea surface temperature
    Stansfield, Alyssa M.
    Reed, Kevin A.
    NPJ CLIMATE AND ATMOSPHERIC SCIENCE, 2023, 6 (01)
  • [34] Global tropical cyclone precipitation scaling with sea surface temperature
    Alyssa M. Stansfield
    Kevin A. Reed
    npj Climate and Atmospheric Science, 6
  • [35] NUMERICAL STUDY ON THE EFFECTS OF SEA SURFACE TEMPERATURE ON TROPICAL CYCLONE INTENSITY—PART Ⅱ:COUPLING MODEL AND EXPERIMENT
    端义宏
    秦曾灏
    顾建峰
    李永平
    Acta Meteorologica Sinica, 2000, (02) : 193 - 199
  • [36] The impacts of hail microphysics on maximum potential intensity of idealized tropical cyclone
    Chen, Chen
    Li, Jiangnan
    DYNAMICS OF ATMOSPHERES AND OCEANS, 2024, 106
  • [37] Human influence on tropical cyclone intensity
    Sobel, Adam H.
    Camargo, Suzana J.
    Hall, Timothy M.
    Lee, Chia-Ying
    Tippett, Michael K.
    Wing, Allison A.
    SCIENCE, 2016, 353 (6296) : 242 - 246
  • [39] Effects of sea spray on tropical cyclone intensity
    Andreas, EL
    Emanuel, KA
    JOURNAL OF THE ATMOSPHERIC SCIENCES, 2001, 58 (24) : 3741 - 3751
  • [40] The Influence of Oceanic Barrier Layers on Tropical Cyclone Intensity as Determined through Idealized, Coupled Numerical Simulations
    Hlywiak, James
    Nolan, David S.
    JOURNAL OF PHYSICAL OCEANOGRAPHY, 2019, 49 (07) : 1723 - 1745