Citation: | Shen Xinyong, Huang Wenyan, Wang Weiguo, et al. Contrastive study on two boundary layer parameterization schemes using TWP-ICE experiment data. J Appl Meteor Sci, 2014, 25(4): 385-396. |
TWP-ICE (Tropical Warm Pool International Cloud Experiment) is carried out at Darwin Station in northern Australia by Europe and the United States, observations can be used for numerical simulation study. High resolution WRF single column model is used to simulate a case during TWP-ICE with two boundary layer parameterization schemes (YSU and MYJ schemes). Simulation results of boundary layer structure, cloud and precipitation with these two boundary layer parameterization schemes are compared.The whole simulation process can be divided into two phases, which are monsoon active period and monsoon suppressed period. During monsoon active period, the boundary layer structure simulated by MYJ scheme is better than YSU scheme. Small turbulent exchange coefficient is simulated by YSU scheme leading to weak turbulent mixing and small heat flux in boundary layer during monsoon active period, which prevents the heat and moisture of surface from upward transporting. Therefore, the simulated potential temperature and vapor mixing ratio are significantly higher than observations at the bottom boundary layer, and the simulated vapor mixing ratio is lower than observation at the top of boundary layer. During monsoon suppressed period, great turbulent exchange coefficient is simulated by MYJ scheme at night, leading to strong turbulent mixing and large heat flux, and the simulated potential temperature and vapor mixing ratio variation with height are smaller than observations, so MYJ scheme cannot simulate the structure of nocturnal boundary layer well.Also, the simulation of cloud and precipitation is affected by the boundary layer parameterization schemes. During monsoon active period, weak turbulent mixing is simulated by YSU scheme, leading to the wet bias near the surface and dry bias above. As a result, YSU scheme simulates smaller cloud liquid water content and frozen water content, less cloud fraction and lower precipitation rate. During the same period, MYJ scheme simulates the boundary layer structure well, and can better simulate cloud and precipitation. During monsoon suppressed period, the cloud fraction and precipitation simulated with both schemes show no significant difference, both exceeding observations.
Fig. 4 Mean vertical profiles of observed and simulated meteorological elements during active monsoon (21 January 2006-25 January 2006)
(a) potential temperature at 0300 UTC, (b) vapour mixing ratio at 0300 UTC, (c) wind speed at 0300 UTC, (d) potential temperature at 1500 UTC, (e) vapour mixing ratio at 1500 UTC, (f) wind speed at 1500 UTC
Fig. 5 The same as in Fig. 4, but for during suppressed monsoon (26 January 2006-2 February 2006)
[1] |
顾建峰, 殷鹤宝, 徐一鸣, 等.MM5在上海区域气象中心数值预报中的改进和应用.应用气象学报, 2000, 11(2):189-198. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20000228&flag=1
|
[2] |
Xie B, Fung J C H, Chan A, et al.Evaluation of nonlocal and local planetary boundary layer schemes in the WRF model.J Geophys Res, 2012, 117:D12103. https://www.researchgate.net/publication/258662802_Evaluation_of_nonlocal_and_local_planetary_boundary_layer_schemes_in_the_WRF_model
|
[3] |
Xie B, Hunt J C R, Carruthers D J, et al.Structure of the planetary boundary layer over Southeast England:Modeling and measurements.J Geophys Res, 2013, 118:7799-7818. https://www.researchgate.net/publication/260722166_Structure_of_the_planetary_boundary_layer_over_Southeast_England_Modeling_and_measurements
|
[4] |
Cintineo R, Otkin J, Xue M, et al.Evaluating the performance of planetary boundary layer and cloud microphysical parameterization schemes in convection-permitting ensemble forecasts using synthetic GOES-13 satellite observations.Mon Wea Rev, 2014, 142:163-182. doi: 10.1175/MWR-D-13-00143.1
|
[5] |
陈炯, 王建捷.北京地区夏季边界层结构日变化的高分辨模拟对比.应用气象学报, 2006, 17(4):403-411. doi: 10.11898/1001-7313.20060403
|
[6] |
刘梦娟, 陈敏.BJ-RUC系统对北京夏季边界层的预报性能评估.应用气象学报, 2014, 25(2):212-221. doi: 10.11898/1001-7313.20140211
|
[7] |
Hong S, Pan H.Nonlocal boundary layer vertical diffusion in a medium-range forecast model.Mon Wea Rev, 1996, 124:2322-2339. doi: 10.1175/1520-0493(1996)124<2322:NBLVDI>2.0.CO;2
|
[8] |
Jankov I, Gallus W A, Segal M, et al.The impact of different WRF model physical parameterizations and their interactions on warm season MCS rainfall.Wea Forecasting, 2005, 20:1048-1060. doi: 10.1175/WAF888.1
|
[9] |
Jankov I, Schultz P J, Anderson C J, et al.The impact of different physical parameterizations and their interactions on cold season QPF in the American River Basin.J Hydrometeor, 2007, 8:1141-1151. doi: 10.1175/JHM630.1
|
[10] |
王晨稀, 端义宏.短期集合预报技术在梅雨降水预报中的试验研究.应用气象学报, 2003, 14(1):69-78. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20030108&flag=1
|
[11] |
王康康, 张维桓, 秦凯兵.一η模式中高分辨边界层方案及对降水影响的数值试验.高原气象, 2004, 23(5):620-628. http://www.cnki.com.cn/Article/CJFDTOTAL-GYQX200405007.htm
|
[12] |
朱蓉, 徐大海.中尺度数值模拟中的边界层多尺度湍流参数化方案.应用气象学报, 2004, 15(5):543-555. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20040567&flag=1
|
[13] |
陈炯, 王建捷.边界层参数化方案对降水预报的影响.应用气象学报, 2006, 17(增刊I):11-17. http://www.cnki.com.cn/Article/CJFDTOTAL-YYQX2006S1001.htm
|
[14] |
May P T, Mather J H, Vaughan G, et al.The tropcical warm pool international cloud experiment.Bull Amer Meteor Soc, 2008, 89:629-645. doi: 10.1175/BAMS-89-5-629
|
[15] |
Ghan S, Randall D, Xu K, et al.A comparison of single column model simulation of summertime midlatitude continental convection.J Geophys Res, 2000, 105:2091-2124. doi: 10.1029/1999JD900971
|
[16] |
Hack J J, Pedretti J A.Assessment of solution uncertainties in single-column modeling frameworks.J Climate, 2000, 13:352-365. doi: 10.1175/1520-0442(2000)013<0352:AOSUIS>2.0.CO;2
|
[17] |
Xie S, Hume T, Jakob C, et al.Observed large-scale structures and diabatic heating and drying profiles during TWP-ICE.J Climate, 2010, 23:57-79. doi: 10.1175/2009JCLI3071.1
|
[18] |
Zhang M H, Lin J L.Constrained variational analysis of sounding data based on column integrated budgets of mass, heat, moisture, and momentum:Approach and application to ARM measurements.J Atmos Sci, 1997, 54:1503-1524. doi: 10.1175/1520-0469(1997)054<1503:CVAOSD>2.0.CO;2
|
[19] |
Hong S, Noh Y, Dudhia J.A new vertical diffusion package with an explicit treatment of entrainment processes.Mon Wea Rev, 2006, 134:2318-2341. doi: 10.1175/MWR3199.1
|
[20] |
Janjic Z I.The Step-Mountain Eta Coordinate Model: Further developments of the convection, viscous sublayer, and turbulence closure schemes.Mon Wea Rev, 1994, 122:927-945. doi: 10.1175/1520-0493(1994)122<0927:TSMECM>2.0.CO;2
|
[21] |
Xu K, Randall D.A semiempirical cloudiness parameterization for use in climate model.J Atmos Sci, 1996, 53:3084-3102. doi: 10.1175/1520-0469(1996)053<3084:ASCPFU>2.0.CO;2
|
[22] |
Gibbs J A, Fedorovich E, Eijk A M J V.Evaluating Weather Research and Forecasting (WRF) model predictions of turbulent flow parameters in a dry convective boundary layer.J Appl Meteor Clim, 2011, 50:2429-2444. doi: 10.1175/2011JAMC2661.1
|
[23] |
Varble A, Fridlind A M, Zipser E J, et al.Evaluation of cloud-resolving model intercomparison simulations using TWP-ICE observations: Precipitation and cloud structure.J Geophys Res, 2011, 116:D12206, doi: 10.1029/2010JD015180.
|
[24] |
郑晓辉, 徐国强, 魏荣庆.GRAPES新云量计算方案的引进和影响试验.气象, 2013, 39(1):57-66. doi: 10.7519/j.issn.1000-0526.2013.01.007
|
[25] |
Clothiaux E E, Ackerman T P, Mace G G, et al.Objective determination of cloud heights and radar reflectivities using a combination of active remote sensors at the ARM CART sites.J Appl Meteor, 2000, 39:645-665. doi: 10.1175/1520-0450(2000)039<0645:ODOCHA>2.0.CO;2
|
[26] |
Xie S, Cederwall R T, Zhang M.Developing long-term single-column model/cloud system-resolving model forcing data using numerical weather prediction products constrained by surface and top of the atmosphere observations.J Geophys Res, 2004, 109:D01104, doi: 10.1029/2003JD004045.
|