The Influence of Radiation on the Prediction of Tropical Cyclone Intensification in a Forecast Model

被引:5
作者
Wu, S. -N. [1 ,2 ]
Soden, B. J. [2 ]
Alaka, G. J. [3 ]
机构
[1] Univ Oklahoma, Sch Meteorol, Norman, OK 73019 USA
[2] Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, Miami, FL 33146 USA
[3] NOAA, AOML, Hurricane Res Div, Miami, FL USA
关键词
tropical cyclone; hurricane forecasting; hurricane model; radiation; radiative feedback; SELF-AGGREGATION; CONVECTION; CLOUD; PREDICTABILITY; INTENSITY; WIND; CYCLOGENESIS; RESOLUTION; IMPACTS; TRACK;
D O I
10.1029/2022GL099442
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
This study examines the influence of radiative heating on the prediction of tropical cyclone (TC) intensification in the Hurricane Weather Research and Forecasting (HWRF) model. Previous idealized modeling and observational studies demonstrated that radiative heating can substantially modulate the evolution of TC intensity. However, the relevance of this process under realistic conditions remains unclear. Here, we use observed longwave radiative heating to explore the performance of TC forecasts in HWRF simulations. The performance of TC intensity forecasts is then investigated in the context of radiative heating forecasts. In observations and HWRF forecasts, high clouds near the TC center increase the convergence of radiative fluxes. A sharp spatial gradient (>= 60 W/m(2)) in the flux convergence from the TC center outward toward the environment is associated with subsequent TC intensification. More accurate simulation of the spatial structure of longwave radiative heating is associated with more accurate TC intensity forecasts.
引用
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页数:10
相关论文
共 58 条
  • [1] High-Definition Hurricanes Improving Forecasts with Storm-Following Nests
    Alaka, Ghassan J., Jr.
    Zhang, Xuejin
    Gopalakrishnan, Sundararaman G.
    [J]. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2022, 103 (03) : E680 - E703
  • [2] A Hydrodynamical Atmosphere/Ocean Coupled Modeling System for Multiple Tropical Cyclones
    Alaka, Ghassan J., Jr.
    Sheinin, Dmitry
    Thomas, Biju
    Gramer, Lew
    Zhang, Zhan
    Liu, Bin
    Kim, Hyun-Sook
    Mehra, Avichal
    [J]. ATMOSPHERE, 2020, 11 (08)
  • [3] Performance of Basin-Scale HWRF Tropical Cyclone Track Forecasts
    Alaka, Ghassan J., Jr.
    Zhang, Xuejin
    Gopalakrishnan, Sundararaman G.
    Goldenberg, Stanley B.
    Marks, Frank D.
    [J]. WEATHER AND FORECASTING, 2017, 32 (03) : 1253 - 1271
  • [4] ARAKAWA A, 1974, J ATMOS SCI, V31, P674, DOI 10.1175/1520-0469(1974)031<0674:IOACCE>2.0.CO
  • [5] 2
  • [6] Advances in Tropical Cyclone Intensity Forecasts
    Atlas, Robert
    Tallapragada, Vijay
    Gopalakrishnan, Sundararaman
    [J]. MARINE TECHNOLOGY SOCIETY JOURNAL, 2015, 49 (06) : 149 - 160
  • [7] Impact of Physics Representations in the HWRFX on Simulated Hurricane Structure and Pressure-Wind Relationships
    Bao, J. -W.
    Gopalakrishnan, S. G.
    Michelson, S. A.
    Marks, F. D.
    Montgomery, M. T.
    [J]. MONTHLY WEATHER REVIEW, 2012, 140 (10) : 3278 - 3299
  • [8] Biswas Mrinal., 2018, COMMUNITY HWRF USERS
  • [9] An energy-balance analysis of deep convective self-aggregation above uniform SST
    Bretherton, CS
    Blossey, PN
    Khairoutdinov, M
    [J]. JOURNAL OF THE ATMOSPHERIC SCIENCES, 2005, 62 (12) : 4273 - 4292
  • [10] Influence of Cloud-Radiative Forcing on Tropical Cyclone Structure
    Bu, Yizhe Peggy
    Fovell, Robert G.
    Corbosiero, Kristen L.
    [J]. JOURNAL OF THE ATMOSPHERIC SCIENCES, 2014, 71 (05) : 1644 - 1662