Impact of boundary layer parameterization schemes on the simulation of a dust event over Northwest China
Received date: 2020-04-27
Revised date: 2020-05-24
Online published: 2021-03-05
In this study, WRF-Chem(version 3.4) model was used to compare the performance of different Planetary Boundary Layer (PBL) parameterization namely, the YSU(Yonsei University), MYJ(Mellor-Yamada-Janjic), QNSE(Quasi-Normal Scale Elimination), MYNN2.5(Mellor-Yamada-Nakanisfii and Niino 2.5) and BouLac PBL schemes, over the dust event in northwest china on 27 March 2007. Surface observations were used for comparisons and evaluating model performance for meteorological variables. It is shown that simulations with the five PBL schemes can successfully reproduce the evolution of the dust event. The YSU and BouLac schemes produced higher surface friction velocity, 10 m wind speed, 2 m air temperature and surface PM10 concentration and lower 2-mrelative humidity, thus simulating stronger weather processes than those of the MYJ, QNSE and MYNN2.5 schemes. These results indicate that different boundary layer schemes affect the dust emission flux and PM10 concentration through different simulation effects of friction velocity. The dust emission flux and PM10 concentration tend to increase with higher friction velocity. Therefore, the dust event was enhanced due to the high friction velocity and the characteristics of high temperature as well as lower humidity in near-surface layer in the afternoon. As a result, the simulated dust event with the BouLac scheme was the strongest while the weakest by the QNSE scheme. Observations from Minqin meteorological station are used to validate the simulated results over Minqin region. Statistical analysis of the five simulations shows that the QNSE scheme simulated better PM10 concentration, the BouLac scheme performs well for 10 m wind speed and the YSU scheme resulted in the best model performance for simulating air temperature and relative humidity at 2 m. Overall, the YSU scheme was concluded as the best PBL scheme for the dust storm and the QNSE scheme was the worst one.
Key words: WRF-Chem; sand and dust; planetary boundary layer; numerical simulation
WEI Qian,LONG Xiao,ZHAO Jianhua,HAN Zifei,WANG Siyi . Impact of boundary layer parameterization schemes on the simulation of a dust event over Northwest China[J]. Arid Zone Research, 2021 , 38(1) : 163 -177 . DOI: 10.13866/j.azr.2021.01.18
[1] | 张强. 大气边界层气象学研究综述[J]. 干旱气象, 2003,21(3):74-78. |
[1] | [ Zhang Qiang. Review of atmospheric boundary layer meterology[J]. Arid Meteorology, 2003,21(3):74-78. ] |
[2] | Banks R F, Tiana-Alsina J, Maria Baldasano J, et al. Sensitivity of boundary-layer variables to PBL schemes in the WRF model based on surface meteorological observations, lidar, radiosondes during the HygrA-CD campaign[J]. Atmospheric Research, 2016, 176-177:185-201. |
[3] | Milovac J, Warrach-Sagi K, Behrendt A, et al. Investigation of PBL schemes combining the WRF model simulations with scanning water vapor differential absorption lidar measurements[J]. Journal of Geophysical Research: Atmospheres, 2016,121(2):624-649. |
[4] | Xie B, Fung J C H, Chan A, et al. Evaluation of nonlocal and local planetary boundary layer schemes in the WRF model[J]. Journal of Geophysical Research, 2012,117(D12103). |
[5] | 张碧辉, 刘树华, 马雁军, 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. |
[5] | [ Zhang Bihui, Liu Shuhua, Ma Yanjun, et al. The effect of MYJ and YSU schemes on the simulation of boundary layer[J]. Chinese Journal of Geophysics, 2012,55(7):2239-2248. ] |
[6] | 黄文彦, 沈新勇, 王卫国, 等. 边界层参数化方案对边界层热力和动力结构特征影响的比较[J]. 地球物理学报, 2014,57(5):1399-1414. |
[6] | [ Huang Wenyan, Shen Xinyong, Wang Weiguo, et al. Comparison of the thermal and dynamic structural characteristics in boundary layer with different boundary layer parameterizations[J]. Chinese Journal of Geophysics, 2014,57(5):1399-1414. ] |
[7] | 王丽霞, 王颖, 赖锡柳, 等. WRF模式不同边界层参数化方案模拟兰州冬季边界层高度的研究[J]. 高原气象, 2017,36(1):162-172. |
[7] | [ Wang Lixia, Wang Ying, Lai Xiliu, et al. Study on the simulation of boundary layer height in Lanzhou in winter using WRF model with different boundary layer parameterization schemes[J]. Plateau Meteorology, 2017,36(1):162-172. ] |
[8] | 孟露, 赵天良, 杨兴华, 等. 塔克拉玛干沙漠腹地大气边界层参数化方案的模拟评估[J]. 气象科学, 2018,38(2):157-166. |
[8] | [ Meng Lu, Zhao Tianliang, Yang Xinghua, et al. An assessment of atmospheric boundary layer schemes over the Taklimakan Desert hinterland[J]. Journal of the Meteorological Sciences, 2018,38(2):157-166. ] |
[9] | Gunwani P, Mohan M. Sensitivity of WRF model estimates to various PBL parameterizations in different climatic zones over India[J]. Atmospheric Research, 2017,194(9):43-65. |
[10] | Mohan M, Gupta M. Sensitivity of PBL parameterizations on PM10, and ozone simulation using chemical transport model WRF-Chem over a sub-tropical urban airshed in India[J]. Atmospheric Environment, 2018,185:53-63. |
[11] | Banks R F, Baldasano J M. Impact of WRF model PBL schemes on air quality simulations over Catalonia, Spain[J]. Science of The Total Environment, 2016,572:98-113. |
[12] | Sathyanadh A, Prabha T V, Balaji B, et al. Evaluation of WRF PBL parameterization schemes against direct observations during a dry event over the Ganges valley[J]. Atmospheric Research, 2017,193:125-141. |
[13] | 丁成慧, 李江南, 赵杨洁, 等. 边界层参数化方案对南海秋季台风“莎莉嘉”(2016)模拟的影响[J]. 热带气象学报, 2018,34(5):657-673. |
[13] | [ Ding Chenghui, Li Jiangnan, Zhao Yangjie, et al. The influence of boundary layer parameterization schemes on autumn typhoon SARIKA(2016) in south China Sea[J]. Journal of Tropical Meteorology, 2018,34(5):657-673. ] |
[14] | 温晓培, 隆霄, 张述文, 等. 边界层参数化方案对台风SANBA初生阶段影响的数值模拟研究[J]. 热带气象学报, 2016,32(3):346-357. |
[14] | [ Wen Xiaopei, Long Xiao, Zhang Shuwen, et al. Parameterization schemes on typhoon SANBA during its initial phase[J]. Journal of Tropical Meteorology, 2016,32(3):346-357. ] |
[15] | Liu J, Zhang F, Pu Z. Numerical simulation of the rapid intensification of hurricane Katrina(2005): Sensitivity to boundary layer parameterization schemes[J]. Advances in Atmospheric Sciences, 2017,34(4):482-496. |
[16] | 崔驰潇, 包云轩, 袁成松, 等. 不同边界层参数化方案对江苏地区一次平流雾过程的模拟影响[J]. 大气科学, 2018,42(6):1344-1362. |
[16] | [ Cui Chixiao, Bao Yunxuan, Yuan Chengsong, et al. Influence of different boundary layer parameterization schemes on the simulation of an advection fog process in Jiangsu[J]. Chinese Journal of Atmospheric Sciences, 2018,42(6):1344-1362. ] |
[17] | Mylonas M P, Nastos P T, Matsangouras I T. PBL parameterization schemes sensitivity analysis on WRF modeling of a tornadic event environment in Skala Lakonia in September 2015[J]. Atmospheric Research, 2018,208:116-131. |
[18] | 高笃鸣, 李跃清, 蒋兴文, 等. WRF模式多种边界层参数化方案对四川盆地不同量级降水影响的数值试验[J]. 大气科学, 2016,40(2):371-389. |
[18] | [ Gao Duming, Li Yueqing, Jiang Xingwen, et al. Influence of planetary boundary layer parameterization schemes on the prediction of rainfall with different magnitudes in the Sichuan Basin using the WRF model[J]. Chinese Journal of Atmospheric Sciences, 2016,40(2):371-389. ] |
[19] | 李斐, 邹捍, 周立波, 等. WRF模式中边界层参数化方案在藏东南复杂下垫面适用性研究[J]. 高原气象, 2017,36(2):340-357. |
[19] | [ Li Fei, Zou Han, Zhou Libo, et al. Study of boundary layer parameterization schemes’ applicability of WRF model over complex underlying surfaces in Southeast Tibet[J]. Plateau Meteorology, 2017,36(2):340-357. ] |
[20] | Wang J K, Zhang B H, Zhang H D, et al. The impacts of three PBL schemes on the simulation of boundary layer meteorological factors and air pollutants in Northern China[J]. IOP Conference Series: Earth and Environmental Science, 2019,227(5):98-113. |
[21] | 刘筱冉, 王金艳, 邱继勇, 等. 起沙方案对西北地区沙尘过程模拟的影响[J]. 环境保护科学, 2018,44(4):69-76. |
[21] | [ Liu Xiaoran, Wang Jinyan, Qiu Jiyong, et al. Impact of dust emission schemes on the simulation of dust storms in the Northwest region[J]. Environmental Protection Science, 2018,44(4):69-76. ] |
[22] | 黄豪杰. 基于超大尺度结构模化的沙尘暴及沙墙形态数值研究[D]. 兰州: 兰州大学, 2018. |
[22] | [ Huang Haojie. Numerical Studies on Sand-Dust Storms and Sand Wall Morphology Based on the Modeling of the Very-Large-Scale Motions[D]. Lanzhou: Lanzhou University, 2018. ] |
[23] | 赵建华, 张峰, 梁芸, 等. 大气边界层湍流相干结构研究进展[J]. 干旱区研究, 2019,36(6):1419-1430. |
[23] | [ Zhao Jianhua, Zhang Feng, Liang Yun, et al. Research progress on turbulent coherent structure in atmospheric boundary layer[J]. Arid Zone Research, 2019,36(6):1419-1430. ] |
[24] | Hong S Y. A new vertical diffusion package with an explicit treatment of entrainment processes[J]. Monthly Weather Review, 2006,134(9):2318-2341. |
[25] | Janji? 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):927-945. |
[26] | Nakanishi M, Niino H. An improved Mellor-Yamada Level-3 Model: Its numerical stability and application to a regional prediction of advection fog[J]. Boundary-Layer Meteorology, 2006,119(2):397-407. |
[27] | 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. |
[28] | Bougeault P, Lacarrre P. Parametrization of orography-induced turbulence in a meso-beta model[J]. Monthly Weather Review, 1989,117:1872-1890. |
[29] | Nabavi S O, Haimberger L, Samimi C. Sensitivity of WRF-chem predictions to dust source function specification in West Asia[J]. Aeolian Research, 2017,24:115-131. |
[30] | 隆霄, 赵建华, 黄建平. “07. 3”强沙尘暴天气过程的观测分析[J]. 兰州大学学报(自然科学版), 2012,48(1):69-74. |
[30] | [ Long Xiao, Zhao Jianhua, Huang Jianping. Observation and analysis of ‘07. 3’ severe sandstorm[J]. Journal of Lanzhou University (Natural Sciences), 2012,48(1):69-74. ] |
[31] | 魏倩, 隆霄, 田畅, 等. 民勤一次沙尘暴天气过程的近地层气象要素多尺度特征[J]. 干旱区研究, 2018,35(6):1352-1362. |
[31] | [ Wei Qian, Long Xiao, Tian Chang, et al. Multiscale meteorological characteristics during a sandstorm in Minqin[J]. Arid Zone Research, 2018,35(6):1352-1362. ] |
[32] | 魏倩. 一次沙尘天气过程发展演变的多尺度特征研究[D]. 兰州: 兰州大学, 2020. |
[32] | [ Wei Qian. Studies on Multiscale Characteristics during the Evolution of A Dust Event[D]. Lanzhou: Lanzhou University, 2020. ] |
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