The efficiency of the Weather Research and Forecasting (WRF) model for simulating typhoons

被引:9
|
作者
Haghroosta, T. [1 ]
Ismail, W. R. [2 ,3 ]
Ghafarian, P. [4 ]
Barekati, S. M. [5 ]
机构
[1] Univ Sains Malaysia, Ctr Marine & Coastal Studies CEMACS, Minden 11800, Pulau Pinang, Malaysia
[2] Univ Sains Malaysia, Sect Geog, Sch Humanities, Minden 11800, Pulau Pinang, Malaysia
[3] Univ Sains Malaysia, Ctr Global Sustainabil Studies, Minden 11800, Pulau Pinang, Malaysia
[4] Iranian Natl Inst Oceanog & Atmospher Sci, Tehran, Iran
[5] Iran Meteorol Org, Tehran, Iran
关键词
BOUNDARY-LAYER; CUMULUS PARAMETERIZATION; BULK PARAMETERIZATION; PART II; SENSITIVITY; CONVECTION; SCHEME; INTENSITY; PACIFIC; CLOUDS;
D O I
10.5194/nhess-14-2179-2014
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The Weather Research and Forecasting (WRF) model includes various configuration options related to physics parameters, which can affect the performance of the model. In this study, numerical experiments were conducted to determine the best combination of physics parameterization schemes for the simulation of sea surface temperatures, latent heat flux, sensible heat flux, precipitation rate, and wind speed that characterized typhoons. Through these experiments, several physics parameterization options within the Weather Research and Forecasting (WRF) model were exhaustively tested for typhoon Noul, which originated in the South China Sea in November 2008. The model domain consisted of one coarse domain and one nested domain. The resolution of the coarse domain was 30 km, and that of the nested domain was 10 km. In this study, model simulation results were compared with the Climate Forecast System Reanalysis (CFSR) data set. Comparisons between predicted and control data were made through the use of standard statistical measurements. The results facilitated the determination of the best combination of options suitable for predicting each physics parameter. Then, the suggested best combinations were examined for seven other typhoons and the solutions were confirmed. Finally, the best combination was compared with other introduced combinations for wind-speed prediction for typhoon Washi in 2011. The contribution of this study is to have attention to the heat fluxes besides the other parameters. The outcomes showed that the suggested combinations are comparable with the ones in the literature.
引用
收藏
页码:2179 / 2187
页数:9
相关论文
共 50 条
  • [1] Dynamical influence of West Pacific Typhoons on the 2018 historic flood of Kerala as revealed by the weather research and forecasting (WRF) model
    P. P. Musaid
    M. G. Manoj
    Subrat Kumar Panda
    Someshwar Das
    K. Mohanakumar
    [J]. Climate Dynamics, 2023, 61 : 1663 - 1681
  • [2] Dynamical influence of West Pacific Typhoons on the 2018 historic flood of Kerala as revealed by the weather research and forecasting (WRF) model
    Musaid, P. P.
    Manoj, M. G.
    Panda, Subrat Kumar
    Das, Someshwar
    Mohanakumar, K.
    [J]. CLIMATE DYNAMICS, 2023, 61 (3-4) : 1663 - 1681
  • [3] Evaluation of the weather research and forecasting (WRF) model over Guyana
    Rao, Y. V. Rama
    Alves, Lyndon
    Seulall, Bhaleka
    Mitchell, Ziona
    Samaroo, Kelvin
    Cummings, Garvin
    [J]. NATURAL HAZARDS, 2012, 61 (03) : 1243 - 1261
  • [4] Evaluation of the weather research and forecasting (WRF) model over Guyana
    Y. V. Rama Rao
    Lyndon Alves
    Bhaleka Seulall
    Ziona Mitchell
    Kelvin Samaroo
    Garvin Cummings
    [J]. Natural Hazards, 2012, 61 : 1243 - 1261
  • [5] Implementation of tidal parameterization in the Weather Research and Forecasting (WRF) model
    Lee, Young-Hee
    Ahn, Kwang-Deuk
    Lee, Yong Hee
    Eom, Hyunmin
    [J]. TERRESTRIAL ATMOSPHERIC AND OCEANIC SCIENCES, 2020, 31 (01): : 33 - 47
  • [6] Predicting lightning activity in Greece with the Weather Research and Forecasting (WRF) model
    Giannaros, Theodore M.
    Kotroni, Vassiliki
    Lagouvardos, Konstantinos
    [J]. ATMOSPHERIC RESEARCH, 2015, 156 : 1 - 13
  • [7] Using the Weather Research and Forecasting (WRF) Model for Precipitation Forecasting in an Andean Region with Complex Topography
    Yanez-Morroni, Gonzalo
    Gironas, Jorge
    Caneo, Marta
    Delgado, Rodrigo
    Garreaud, Rene
    [J]. ATMOSPHERE, 2018, 9 (08):
  • [8] WRF4SG: A Scientific Gateway for the Weather Research and Forecasting Model
    Blanco, C.
    Cofino, A. S.
    Fernandez-Quiruelas, V.
    [J]. 2013 36TH INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), 2013, : 172 - 176
  • [9] Development and Evaluation of a New Urban Parameterization in the Weather Research and Forecasting (WRF) Model
    Bhautmage, Utkarsh Prakash
    Fung, Jimmy Chi Hung
    Pleim, Jonathan
    Wong, Michael Mau Fung
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2022, 127 (16)
  • [10] A New Land-Use Dataset for the Weather Research and Forecasting (WRF) Model
    Li, Huoqing
    Zhang, Hailiang
    Mamtimin, Ali
    Fan, Shuiyong
    Ju, Chenxiang
    [J]. ATMOSPHERE, 2020, 11 (04)