Numerical Study of Sea Winds Simulated by the High-Resolution Weather Research and Forecasting (WRF) Model

被引:0
|
作者
Kwun, Ji Hye [1 ]
You, Sung Hyup [1 ]
机构
[1] Natl Inst Meteorol Res, Global Environm Syst Res Lab, Seoul 156720, South Korea
关键词
High-resolution model; sea winds; typhoon; WRF; MOUNTAINS; FLOW;
D O I
暂无
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
We compared the features of sea winds simulated by the Korea Meteorological Administration's Regional Data Assimilation and Prediction System (RDAPS), the Korea Weather Research and Forecasting (KWRF) model, and high-resolution WRF models with 9- and 3-km horizontal grid resolutions. To investigate characteristics of sea winds around Korea during typhoon events, Typhoons Manyi and Usagi, which occurred in 2007, were simulated and analyzed. The characteristic typhoon tracks and intensities were analyzed from the RDAPS and KWRF simulations. Although both models gave good results compared with best track information, KWRF showed better performance in predicting the typhoon tracks. Horizontal wind distributions and statistical analyses of estimated and observed winds showed that the high-resolution, 3-km-grid WRF model produced the most accurate sea wind predictions for both typhoons and gave the closest results to the observations, showing the least bias and root mean-square error when compared with observations. However, shortcomings remain in accurately predicting sea winds. To enhance the simulation and prediction of sea winds, further detailed studies are needed.
引用
收藏
页码:523 / 554
页数:32
相关论文
共 50 条
  • [41] Analysis of the Weather Research and Forecasting (WRF) Model on Large-Scale Systems
    Kerbyson, Darren J.
    Barker, Kevin J.
    Davis, Kei
    PARALLEL COMPUTING: ARCHITECTURES, ALGORITHMS AND APPLICATIONS, 2008, 15 : 89 - +
  • [42] Development of the Upgraded Tangent Linear and Adjoint of the Weather Research and Forecasting (WRF) Model
    Zhang, Xin
    Huang, Xiang-Yu
    Pan, Ning
    JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2013, 30 (06) : 1180 - 1188
  • [43] A New Vertical Grid Nesting Capability in the Weather Research and Forecasting (WRF) Model
    Daniels, Megan H.
    Lundquist, Katherine A.
    Mirocha, Jeffrey D.
    Wiersema, David J.
    Chow, Fotini K.
    MONTHLY WEATHER REVIEW, 2016, 144 (10) : 3725 - 3747
  • [44] Analysis of a New MPI Process Distribution for the Weather Research and Forecasting (WRF) Model
    Moreno, R.
    Arias, E.
    Cazorla, D.
    Pardo, J. J.
    Navarro, A.
    Rojo, T.
    Tapiador, F. J.
    SCIENTIFIC PROGRAMMING, 2020, 2020
  • [45] Evaluation of the Weather Research and Forecasting (WRF) model with respect to wind in complex terrain
    Solbakken, Kine
    Birkelund, Yngve
    WINDEUROPE CONFERENCE 2018 WITHIN THE GLOBAL WIND SUMMIT, 2018, 1102
  • [46] Impacts of High-Resolution Land Surface Initialization on Regional Sensible Weather Forecasts from the WRF Model
    Case, Jonathan L.
    Crosson, William L.
    Kumar, Sujay V.
    Lapenta, William M.
    Peters-Lidard, Christa D.
    JOURNAL OF HYDROMETEOROLOGY, 2008, 9 (06) : 1249 - 1266
  • [47] High-Resolution Dynamical Downscaling of Seasonal Precipitation Forecasts for the Hanjiang Basin in China Using the Weather Research and Forecasting Model
    Li, Yuan
    Lu, Guihua
    Wu, Zhiyong
    He, Hai
    He, Jian
    JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2017, 56 (05) : 1515 - 1536
  • [48] Climatology of the Iberia coastal low-level wind jet: weather research forecasting model high-resolution results
    Soares, Pedro M. M.
    Cardoso, Rita M.
    Semedo, Alvaro
    Chinita, Maria J.
    Ranjha, Raza
    TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY, 2014, 66
  • [49] High-resolution numerical simulations of unstable colliding stellar winds
    Lamberts, A.
    Fromang, S.
    Dubus, G.
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2011, 418 (04) : 2618 - 2629
  • [50] Suitability of the Weather Research and Forecasting (WRF) Model to Predict the June 2005 Fire Weather for Interior Alaska
    Molders, Nicole
    WEATHER AND FORECASTING, 2008, 23 (05) : 953 - 973