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《Chinese Journal of Geophysics》 2012-07
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The effect of MYJ and YSU schemes on the simulation of boundary layer meteorological factors of WRF

ZHANG Bi-Hui1,2,LIU Shu-Hua1,LIU He-Ping3,MA Yan-Jun4 1 Department of Atmospheric and Oceanic Sciences,School of Physics,Peking University,Beijing 100871,China 2 National Meteorological Center,China Meteorological Administration,Beijing 100081,China 3 Department of Civil and Environmental Engineering,Washington State University Pullman,WA 99164,USA 4 Institute of Atmospheric Environment,China Meteorological Administration,Shenyang 110016,China  
This study analyzed the effects of two difference boundary layer schemes in the Weather Research and Forecast(WRF) model on the simulation of meteorological factors related to pollutant dispersion over Shenyang China in winter.The performance of WRF was evaluated against observation data with statistics.It was revealed that WRF underestimated the temperature and overestimated the surface wind speed which may be attributed to the outdated land use data.The Yonsei University(YSU) scheme simulated higher air temperature and weaker nocturnal surface-based inversion layer than the Mellor-Yamada-Janjic(MYJ) scheme,due to the stronger entrainment at the top of the boundary layer and vertical mixing in YSU.The duration of inversion layer was 4 hours longer in MYJ than YSU.The temperature difference between the two schemes was highest before sunrise,after which the surface heating weakened the difference.The surface wind was not sensitive to the boundary layer schemes and both MYJ and YSU simulated north wind with the highest frequency and speed,agreed with observation.The boundary layer height was also higher in YSU than MYJ,favoring the vertical dispersion of pollutant.Among the three methods determining the boundary layer height,the TKE(Turbulent Kinetic Energy) method led to the highest values,while potential temperature method led to the lowest.The bulk Richardson number method was sensitive to the critical value.
【Fund】: 国家公益性行业(气象)科研专项(GYHY200806020);; 国家自然科学基金(40875004)资助
【CateGory Index】: P421.31
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