主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

Journal of Meteorology and Environment ›› 2016, Vol. 32 ›› Issue (1): 1-8.doi: 10.11927/j.issn.1673-503X.2016.01.001

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Evaluation of summer near-surface meteorological fields simulated by WRF model in Ji'nan

GU Shen-dan1, YU Li-juan2, YIN Cheng-mei2, HE Jian-jun3,4   

  1. 1. China Satellite Maritime Tracking & Control Department, Jiangyin 214431, China;
    2. Ji'nan Meteorological Service, Ji'nan 250002, China;
    3. The College of Environmental Science & Engineering, Nankai University, Tianjin 300071, China;
    4. Key Laboratory of Land Surface Process & Climate Change in Cold & Arid Regions, Cold & Arid Regions Environmental & Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China
  • Received:2015-01-09 Revised:2015-04-21 Online:2016-02-28 Published:2016-02-28

Abstract: The meso-scale meteorological model had different performance in different regions.Using a numerical simulation method and a statistical method, performance of Weather Research and Forecasting (WRF) model was assessed in Ji'nan area, and impacts of the topography and land use on the WRF simulation were comparatively discussed in order to provide scientific references for operational running of the WRF model.The results indicate that the WRF model can simulate near-surface meteorological fields and their temporal variation well.Based on the statistical analysis, the accurate rates of simulated temperature, specific humidity, wind speed and wind direction are 72.5%, 59.6%, 29.4% and 36.2% for the WRF model, respectively.In summer, the WRF model underestimates specific humidity and overestimates wind speed over the Ji'nan regions, and it has obvious systematic bias on wind speed simulation.The effect of underlying surface on the simulation results of WRF model is significant.Root mean square error (RMSE) of the simulated 10 m wind speed is significantly correlated with topography, slope, and terrain deviation between model grid point and observed station point, especially with slope, while RMSE of the simulated 2 m temperature is only significantly correlated with terrain deviation.It should consider the impact of terrain deviation in complex terrain area if temperature from model grid point is compared with that from weather stations.

Key words: Weather Research and Forecasting (WRF) model, Evaluation, Topography, Land use, Correlation analysis

CLC Number: