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Numerical Studies on a Severe Dust Storm in East Asia Using WRF-Chem

DOI: 10.4236/acs.2017.71008, PP. 92-116

Keywords: Dust Storm, WRF-Chem, CUACE-Dust, RegCCMS, East Asia, AERONET, MODIS, CALIPSO

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Dust storm is one of the important natural disasters, which can have significant impact on terrestrial ecosystem, global climate, air quality and human health. In Mar. 19-23, 2010, a serious dust storm occurred over East Asia. It started from Mongolia, initially extending to the east, turning to the South of China, then back to the Northeast Asia. About 20% of the areas in China suffered from this severe dust event and the air was heavily polluted with massive airborne particulates. The Air Pollution Index (API) in many cities exceeded 500 when dust storm passed by, while the maximum surface PM10 concentration reached 1900 µg/m3 in east area. The coarse particles were dominated in PM10, with fine particles named as PM2.5 only accounting for 5% - 20% at cities along the dust moving track in South and East China. MODIS and CALIPSO satellite data were used to investigate the horizontal and vertical patterns of optical parameters of dust aerosol. The average AOD reached 2 - 2.5 on dust days in most southeast regions. The dust can be transported up to 5 Km with maximum aerosol extinction coefficient of 0.35 - 0.4 at 1 - 3 Km in vertical. Synoptic weather was analyzed to understand the meteorological conditions and the backward trajectories were calculated to investigate the movements of air mass. The WRF-Chem model (Version 3.2) was applied to simulate the transport and deposition of the dust aerosols. The performance of Shaw (2008) and Chin (2002) parameterization schemes for dust emissions in WRF-Chem were evaluated. Modeling results were compared with the CUACE-Dust and RegCCMS. Investigations show that WRF-Chem has capability on simulations on dust emission, long range transport and deposition. Shaw (2008) scheme gives more reasonable spatial distribution of dust aerosols, while Chin (2002) scheme presents more better results in terms of PM10 surface concentration simulation. It is suggested that two schemes can be used at the same time in terms of simulation of dust pattern and concentration.


[1]  Gu, Y., Xue, Y., De Sales, F. and Liou, K.N. (2016) A GCM Investigation of Dust Aerosol Impact on the Regional Climate of North Africa and South/East Asia. Climate Dynamics, 46, 2353-2370.
[2]  Han, Y., Wu, Y., Wang, T., et al. (2015) Characterizing a Persistent Asian Dust Transport Event: Optical Properties and Impact on Air Quality through the Ground-Based and Satellite Measurements over Nanjing, China. Atmospheric Environment, 115, 304-316.
[3]  Marsden, N., Williams, P., Flynn, M., et al. (2016) Measuring the Temporal Evolution of Aerosol Composition in a Remote Marine Environment Influenced by Saharan Dust Outflow Using a New Single Particle Mass Spectrometer. EGU General Assembly Conference, Vienna, 17-22 April 2016, 13985.
[4]  Zhang, X., Zhao, L., Tong, D.Q., et al. (2016) A Systematic Review of Global Desert Dust and Associated Human Health Effects. Atmosphere, 7, 158.
[5]  Tegen, I. and Fung, I. (1994) Modeling of Mineral Dust in the Atmosphere: Sources, Transport, and Optical Thickness. Journal of Geophysical Research, 99, 22897-22914.
[6]  Tegen, I. and Fung, I. (1995) Contribution to the Atmospheric Mineral Aerosol Load from Land Surface Modification. Journal of Geophysical Research, 100, 18707-18726.
[7]  Westphal, D.L., Toon, O.B. and Carson, T.N. (1988) A Case Study of Mobilization and Transport of Saharan Dust. Journal of the Atmospheric Sciences, 45, 2145-2175.<2145:ACSOMA>2.0.CO;2
[8]  Gillette, D.A. and Hanson, K.J. (1989) Spatial and Temporal Variability of Dust Production Caused by Wind Erosion in the United States. Journal of Geophysical Research, 94D, 2197-2206.
[9]  Marticorena, B. and Bergametti, G. (1995) Modeling the Atmospheric Dust Cycle, I, Design of Soil-Derived Dust Emission Scheme. Journal of Geophysical Research, 100, 16416-16430.
[10]  Shao, Y., Raupach, M.R. and Leys, J.F. (1996) A Model for Predicting Aeolian Sand Drift and Dust Entrainment on Scales from Paddock to Region. Australian Journal of Soil Research, 34, 309-342.
[11]  Marticorena, B., Bergametti, G., Aumont, B., Callot, Y., N’Doume, C. and Legrand, M. (1997) Modeling the Atmospheric Dust Cycle: 2. Simulation of Saharan Dust Sources. Journal of Geophysical Research, 102, 4387-4404.
[12]  Shao, Y. and Leslie, L.M. (1997) Wind Erosion Prediction over Australian Continent. Journal of Geophysical Research, 102, 30091-30105.
[13]  Lu, H. and Shao, Y. (2001) Toward Quantitative Prediction of Dust Storms: An Integrated Wind Erosion Modeling System and Its Application. Environmental Modelling & Software, 16, 233-249.
[14]  Alfaro, S.C. and Gomes, L. (2001) Modeling Mineral Aerosol Production by Wind Erosion: Emission Intensities and Aerosol Size Distributions in Source Areas. Journal of Geophysical Research, 106, 18075-18084.
[15]  Song, Z. (2004) A Numerical Simulation of Dust Storms in China. Environmental Modeling & Software, 19, 141-151.
[16]  Gong, S.L. and Zhang, X.Y. (2008) CUACE/Dust—An Integrated System of Observation and Modeling Systems for Operational Dust Forecasting in Asia. Atmospheric Chemistry and Physics, 8, 2333-2340.
[17]  Liu, C., Zhao, T., Xiong, J., et al. (2015) A Simulated Climatology of Dust Aerosol Emissions over 1991-2010 and the Influencing Factors of Atmospheric Circulation over the Major Deserts in the World. Journal of Desert Research, 35, 959-970. (In Chinese)
[18]  Gherboudj, I., Beegum, S.N., Marticorena, B. and Ghedira, H. (2015) Dust Emission Parameterization Scheme over the MENA Region: Sensitivity Analysis to Soil Moisture and Soil Texture. Journal of Geophysical Research: Atmospheres, 120.
[19]  Wu, C. and Lin, Z. (2013) Uncertainty in Dust Budget over East Asia Simulated by WRF/Chem with Six Different Dust Emission Schemes. Atmospheric and Oceanic Science Letters, 6, 428-433.
[20]  Liu, L., Huang, X., Ding, A., et al. (2016) Dust-Induced Radiative Feedbacks in North China: A Dust Storm Episode Modeling Study Using WRF-Chem. Atmospheric Environment, 129, 43-54.
[21]  Patrick, S. (2008) Application of Aerosol Speciation Data as an in Situ Dust Proxy for Validation of the Dust Regional Atmospheric Model (DREAM). Atmospheric Environment, 42, 7304-7309.
[22]  Chin, M., Ginoux, P., Kinne, S., Torres, O., Holben, B.N., et al. (2002) Tropospheric Aerosol Optical Thickness from the GOCART Model and Comparisons with Satellite and Sun Photometer Measurements. Journal of the Atmospheric Sciences, 59, 461-483.<0461:TAOTFT>2.0.CO;2
[23]  Niu, T., Gong, S.L., Zhu, G.F., Liu, H.L., Hu, X.Q., Zhou, C.H. and Wang, Y.Q. (2008) Data Assimilation of Dust Aerosol Observations for CUACE/Dust Forecasting System. Atmospheric Chemistry and Physics, 8, 3473-3482.
[24]  Wang, T., Li, S., Shen, F., Deng, J. and Xie, M. (2010) Investigations on Direct and Indirect Effect of Nitrate on Temperature and Precipitation in China Using a Regional Climate Chemistry Modeling System. Journal of Geophysical Research, 115, D00K26.
[25]  Wang, T., Li, S., Zhuang, B. and Sheng, F. (2010) Study on the First Indirect Climatic Effect of Sulfate Aerosol in China. Scientia Meteorologica Sinica, 30, 730-740. (In Chinese)
[26]  Zhuang, B.L., Liu, L., Shen, F.H., Wang, T.J. and Han, Y. (2010) Semidirect Radiative Forcing of Internal Mixed Black Carbon Cloud Droplet and Its Regional Climatic Effect over China. Journal of Geophysical Research, 115, D00K19.
[27]  Li, S., Wang, T., Zhuang, B. and Han, Y. (2009) Indirect Radiative Forcing and Climatic Effect of the Anthropogenic Nitrate Aerosol on Regional Climate of China. Advance in Atmospheric Science, 26, 543-552.
[28]  Deng, J., Cai, Y., Jiang, Z., Wang, T. and Shen, Y. (2011) Characterization of Visibility and Its Affecting Factors in Nanjing, China. Atmospheric Research, 101, 681-691.
[29]  Shen, F., Wang, T., Zhuang, B. and Li, S. (2011) The First Indirect Radiative Forcing of Dust Aerosol and Its Effect on Regional Climate in China. China Environmental Science, 31, 423-430. (In Chinese)
[30]  Acker, J.G. and Leptoukh, G. (2007) Online Analysis Enhances Use of NASA Earth Science Data. Eos, Transactions American Geophysical Union, 88, 14-17.
[31]  Sun, X., Zhou, J. and Zhou, Y. (2016) Statistical Characteristics of Aerosol Extinction Coefficient Profile in East Asia from CALIPSO. EPJ Web of Conferences, 119, Article No. 04011.
[32]  Tanre, D., Kaufman, Y.J. and Holben, B.N. (2001) Climatology of Dust Aerosol Size Distribution and Optical Properties Derived from Remotely Sensed Data in the Solar Spectrum. Journal of Geophysical Research, 106, 18205-182I7.
[33]  Dubovik, O., Holben, B., Eck, T.F., Smirnov, A., Kaufman, Y.J., King, M.D., Tanre, D. and Slutsker, I. (2001) Variability of Absorption and Optical Properties of Key Aerosol Types Observed in Worldwide Locations. Journal of the Atmospheric Sciences, 59, 590-608.
[34]  Young, S.A., Vaughan, M.A., Kuehn, R.E., et al. (2013) The Retrieval of Profiles of Particulate Extinction from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Data: Uncertainty and Error Sensitivity Analyses. Journal of Atmospheric and Oceanic Technology, 30, 395-428.
[35]  Friese, C.A., van der Does, M., Merkel, U., et al. (2016) Environmental Factors Controlling the Seasonal Variability in Particle Size Distribution of Modern Saharan Dust Deposited off Cape Blanc. Aeolian Research, 22, 165-179.
[36]  Grini, A., Myhre, G., Zender, C.S., et al. (2005) Model Simulations of Dust Sources and Transport in the Global Atmosphere: Effects of Soil Erodibility and Wind Speed Variability. Journal of Geophysical Research, 110, D02205.
[37]  Jiang, F., Wang, T., Wang, T., Xie, M. and Zhao, H. (2008) Numerical Modeling of a Continuous Photochemical Pollution Episode in Hong Kong Using WRF-Chem. Atmospheric Environment, 42, 8717-8727.
[38]  Laurent, B., Marticorena, B., Bergametti, G. and Mei, F. (2006) Modeling Mineral Dust Emissions from Chinese and Mongolian Deserts. Global and Planetary Change, 52, 121-141.


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