|
|
|
| Modeling study on boundary layer height in pollution weather by WRF with different boundary layer schemes |
| LU Zheng-qi1, HAN Yong-xiang1, XIA Jun-rong1,2, ZHAO Tian-liang1 |
1. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China;
2. Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China |
|
|
|
|
Abstract Atmospheric boundary layer height (ABLH) is one of important factors affecting concentrations of air pollutants,but different boundary layer (BL) schemes in numerical models could result in uncertainties in predicting ABLH.By using five BL schemes in the Weather Research and Forecast (WRF) model,combined with the Lidar observed data at Xianghe in spring,autumn and winter of 2006 and 2007,this study compared the simulated ABLH with different BL schemes in the pollution periods,analyzed the cause of simulation errors.The results indicated that five BL schemes could capture the variations of ABLH,but there were obvious discrepancies between the simulated and the observed ABLH.In autumn and winter,the monthly maximums of ABLH were modeled better than those in spring.Also,the root mean square errors in diurnal changes of simulated ABLH were assessed with spring > autumn > winter,especially in the afternoon between 2~6pm in local time.The non-local YSU scheme presented the best simulation in polluted days.The ABLH simulation errors could be mainly caused by the differences in atmospheric profiles,turbulent kinetic energy and the ABLH calculation.
|
|
Received: 17 August 2017
|
|
|
|
|
|
| [1] |
钟鑫,刘昭华.京津冀污染天气下大气边界层高度特征研究进展[J]. 农业灾害研究, 2015,(9):33-34.
|
| [2] |
吴蒙,范绍佳,吴兑.台风过程珠江三角洲边界层特征及其对空气质量的影响[J]. 中国环境科学, 2013,33(9):1569-1576.
|
| [3] |
李景林,郑玉萍,刘增强.乌鲁木齐市低空温度层结与采暖期大气污染的关系[J]. 干旱区地理, 2007,30(4):519-525.
|
| [4] |
Nozaki K Y. Mixing depth model using hourly surface observations[J]. USAF Envirinmental Technical Applications Center, Report, 1973,7053.
|
| [5] |
Liu S Y, Liang X Z. Observed diurnal cycle climatology of planetary boundary layer height.[J]. Journal of Climate, 2009, 23(21):5790-5809.
|
| [6] |
Holzworth G C. Mixing depths, wind speeds and air pollution potential for selected locations in the United States.[J]. Journal of Applied Meteorology, 1967,6(6):1039-1044.
|
| [7] |
廖国莲.大气混合层厚度的计算方法及影响因子[J]. 中山大学研究生学刊:自然科学、医学版, 2005,(4):66-73.
|
| [8] |
程水源,席德立,张宝宁,等.大气混合层高度的确定与计算方法研究[J]. 中国环境科学, 1997,17(6):512-516.
|
| [9] |
王式功,姜大膀,杨德保,等.兰州市区最大混合层厚度变化特征分析[J]. 高原气象, 2000,19(3):363-370.
|
| [10] |
Dai C, Wang Q, Kalogiros J A, et al. Determining bound-ary-layer height from aircraft measurements[J]. Boundary-Layer Meteorology, 2014,152(3):277-302.
|
| [11] |
杜川利,唐晓,李星敏,等.城市边界层高度变化特征与颗粒物浓度影响分析[J]. 高原气象, 2014,33(5):1383-1392.
|
| [12] |
董春卿,郑有飞,武永利,等.边界层方案对山西冬季一次静稳天气PM2.5浓度模拟的影响[J]. 中国环境科学, 2016,36(6):1669-1680.
|
| [13] |
Banks R F, Tiana-Alsina J, Baldasano J M, et al. Sensitivity of boundary-layer variables to PBL schemes in the WRF model based on surface meteorological observations, lidar, and radiosondes during the HygrA-CD campaign[J]. Atmospheric Research, 2016,176-177:185-201.
|
| [14] |
张碧辉,刘树华, He-Ping,等.MYJ和YSU方案对WRF边界层气象要素模拟的影响[J]. 地球物理学报, 2012,55(7):2239-2248.
|
| [15] |
Hu X M, Nielsen-gammon J W, Zhang F. Evaluation of Three Planetary Boundary Layer Schemes in the WRF Model[J]. Journal of Applied Meteorology & Climatology, 2010,49(9):1831-1844.
|
| [16] |
Kunkel K E, Eloranta E W, Shipley S T. Lidar Observations of the Convective Boundary Layer.[J]. Journal of Applied Meteorology, 1977,16(12):1306-1311.
|
| [17] |
贺千山,毛节泰.北京城市大气混合层与气溶胶垂直分布观测研究[J]. 气象学报, 2005,63(3):374-384.
|
| [18] |
严国梁,韩永翔,张祥志,等.南京地区一次灰霾天气的微脉冲激光雷达观测分析[J]. 中国环境科学, 2014,34(7):1667-1672.
|
| [19] |
Crum T D, Stull R B, Eloranta E W. Coincident Lidar and Aircraft Observations of Entrainment into Thermals and Mixed Layers[J]. Journal of Applied Meteorology, 2010,26(7):774-788.
|
| [20] |
Taylor K E. Summarizing multiple aspects of model performance in a single diagram. J. Geophys. Res. 106(D7), 7183-7192[J]. Journal of Geophysical Research Atmospheres, 2001,106(D7):7183-7192.
|
| [21] |
中国气象局. QX/T113-2010霾的观测和预报等级[S]. 北京:气象出版社, 2010.
|
| [22] |
Brooks I M. Finding Boundary Layer Top:Application of a wavelet covariance transform to lidar backscatter profiles[J]. Journal of Atmospheric & Oceanic Technology, 2003,20(8):1092-1105.
|
| [23] |
Hong S Y, Noh Y, Dudhia J. A new vertical diffusion package with an explicit treatment of entrainment processes[J]. Monthly Weather Review, 2006,134(9):2318-2341.
|
| [24] |
Janjić Z I. The step-mountain eta coordinate model:Further developments of the convection, viscous sublayer, and turbulence closure schemes[J]. Monthly Weather Review, 1994,122(5):927.
|
| [25] |
Sukoriansky S, Galperin B, Perov V. Application of a new spectral theory of stably stratified turbulence to the atmospheric boundary layer over sea ice[J]. Boundary-Layer Meteorology, 2005,117(2):231-257.
|
| [26] |
Nielsen-gammon J W, Powell C L, Mahoney M J, et al. Multisensor Estimation of Mixing Heights over a Coastal City[J]. Journal of Applied Meteorology & Climatology, 2008,47(1):27-43.
|
| [27] |
Pleim J E. A combined local and nonlocal closure model for the atmospheric boundary layer. Part Ⅱ:Application and evaluation in a mesoscale meteorological model[J]. Journal of Applied Meteorology and Climatology, 2007,46(9):1396-1409.
|
| [28] |
Bougeault P, Lacarrere P. Parameterization of Orography-Induced Turbulence in a Mesobeta-Scale Model[J]. Monthly Weather Review, 1989,117(8):1872-1890.
|
| [29] |
夏俊荣,吴丹.河北香河地区大气边界层高度演变特征[C]. 北京:中国环境科学学会学术年会, 2015.
|
| [30] |
Gibbs J A, Fedorovich E, Van Eijk A M J. Evaluating Weather Research and Forecasting (WRF) Model Predictions of Turbulent Flow Parameters in a Dry Convective Boundary Layer[J]. Journal of Applied Meteorology & Climatology, 2015,50(12):2429-2444.
|
|
|
|
