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Integration of Multi-source Measurements to Monitor Dust over North China:A Case Study
作者姓名:GUO Jianping  NIU Tao  WANG Fu  DENG Minjun  WANG Yaqiang
基金项目:Supported by the National Basic Research and Development (973) Program of China (2011CB403401); National Science and Technology Support Program of China (2008BAC40B02); China Meteorological Administration Special Public Welfare Research Fund (GYHY200804020 and GYHY201206040); National Natural Science Foundation of China (41171294); Research Fund of the Chinese Academy of Meteorological Sciences (2010Z002 and 2011Y002) Acknowledgments. The MODIS AOD data used in this study were acquired from the Goddard Earth Sciences (GES) Data and Infbrnmtion Services Center (DISC) Distributed Active Archive Center (DAAC). The CALIOP data were obtained from the NASA Langley Research Center Atmospheric Sciences Data Center. The authors gratefully acknowledge the NOAA Air Resources Laboratory (ARL) for provision of the HYSPLIT transport and dispersion model used in this study.
摘    要:The aerosol optical depth (AOD) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard Satellite Aqua, along with the altitude-resolved aerosol subtypes product from the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), as well as surface PM 10 measurements, were utilized to investigate the dust activities common in springtime of northern China. Specifically, a dust storm episode that occurred over the North China Plain (NCP) during 17-21 March 2010 was identified. The PM 10 concentration at Beijing (39.8 °N, 116.47 °E) reached the peak value of 283 μgm -3 on 20 March 2010 from the background value of 15 μg m-3 measured on 17 March 2010, then dropped to 176 μgm-3 on 21 March 2010. Analysis of the CALIOP aerosol subtypes product showed that numerous large dust plumes floated over northern China, downwind of main desert source regions, and were lifted to altitudes as high as 3.5 km during this time period. The MODIS AOD data provided spatial distributions of dust load, broadly consistent with ground-level PM 10 , especially in cloud free areas. However, inconsistency between the MODIS AOD and surface PM 10 measurements under cloudy conditions did exist, further highlighting the unique capability of the CALIOP lidar. CALIOP can penetrate the cloud layer to give unambiguous and altitude-resolved dust measurements, albeit a relatively long revisit period (16 days) and narrower swath (90 m). A back trajectory simulation using the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model was performed, and it was found that the sand-dust storm originated from the Gobi Desert on 18 March 2010 travelled approxi-mately 1200-1500 km day-1 eastward and passed over the NCP on 19 March 2010, in good agreement with previous findings. In addition, the multi-sensor measurements integrated with the HYSPLIT model output formed a three-dimensional view of the transport pathway for this dust episode, indicating that this episode was largely associated with the desert source regions to the northwest of the NCP. The results imply the importance of integration of multi-sensor measurements for clarifying the overall structure of dust events over northern China.

关 键 词:中国北方  沙尘暴  测量值  集成  气溶胶光学厚度  显示器  中分辨率成像光谱仪  MODIS
收稿时间:2012/7/18 0:00:00
修稿时间:2013/3/25 0:00:00

Integration of multi-source measurements to monitor sand-dust storms over North China: A case study
GUO Jianping,NIU Tao,WANG Fu,DENG Minjun,WANG Yaqiang.Integration of multi-source measurements to monitor sand-dust storms over North China: A case study[J].Acta Meteorologica Sinica,2013,27(4):566-576.
Authors:GUO Jianping  NIU Tao  WANG Fu  DENG Minjun and WANG Yaqiang
Institution:1. Institute of Atmosphere Composition, Chinese Academy of Meteorological Sciences, Beijing, 100081, China
2. School of Automation, University of Electronic Science and Technology of China, Chengdu, 611731, China
Abstract:PM 10 , dust, AOD, MODIS, CALIOP
Keywords:PM 10  dust  AOD  MODIS  CALIOP
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