Diurnal and seasonal variability of PM2.5 and AOD in North China plain: Comparison of MERRA-2 products and ground measurements

被引:125
作者
Song, Zijue [1 ,2 ]
Fu, Disong [1 ]
Zhang, Xiaoling [2 ]
Wu, Yunfei [4 ]
Xia, Xiangao [1 ,3 ,7 ]
He, Jianxin [2 ]
Han, Xinlei [1 ,7 ]
Zhang, Renjian [4 ]
Che, Huizheng [5 ,6 ]
机构
[1] Chinese Acad Sci, Inst Atmospher Phys, LAGEO, Beijing 100029, Peoples R China
[2] Chengdu Univ Informat Technol, Chengdu 610225, Sichuan, Peoples R China
[3] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing 210044, Jiangsu, Peoples R China
[4] Chinese Acad Sci, Inst Atmospher Phys, RCE TEA, Beijing 100029, Peoples R China
[5] Chinese Acad Meteorol Sci, CMA, State Key Lab Severe Weather LASW, Beijing 100081, Peoples R China
[6] Chinese Acad Meteorol Sci, CMA, Inst Atmospher Composit, Beijing 100081, Peoples R China
[7] Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China
基金
美国国家科学基金会;
关键词
MERRA-2; Aerosol optical depth; PM2.5; North China plain; AEROSOL OPTICAL-PROPERTIES; SOURCE APPORTIONMENT; CLIMATOLOGY; DEPTH; FOG;
D O I
10.1016/j.atmosenv.2018.08.012
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
North China Plain (NCP) is one of heavily polluted regions that is characterized by a mixture of a myriad of anthropogenic and natural aerosols. A substantial spatial and temporal variations of aerosols and their compositions there poses a good testbed for the validation of model simulations. Aerosol optical depth (AOD) and PM2.5 (particulate matter with aerodynamic diameter < 2.5 mu m) concentration products from the Modern Era Retrospective-Analysis for Research and Applications, version 2 (MERRA-2) are evaluated using available independent ground-based in situ and remote sensing products in the NCP. The comparison of MERRA-2 aerosol species to the observations is also performed. Although several satellite and ground-based AOD products are assimilated into the MERRA-2, MERRA-2 AOD is systematically smaller than independent sunphotometer measurements. The biases range from 0.09 (13%) in the summer to 0.17 (33%) in the spring and show little spatial dependence. Daytime AOD variations are captured by the MERRA-2, although MERRA-2 has relatively lower AOD. MERRA-2 produces lower PM2.5 concentration relative to surface measurements in all seasons except in summer. The largest bias is found in the winter (44 mu gm(-3)). On the contrary, summer MERRA-2 PM2.5 is close to surface-measured PM2.5 (with bias of 0.4 mu gm(-3) MERRA-2 was unable to reproduce diurnal PM2.5 variation. Evaluation of MERRA-2 aerosol species in the winter of 2014 suggests that MERRA-2 could not keep track of dramatic day-to-day variation of aerosols and their species. Potential causes for this deficiency may include a lack of nitrate aerosols (accounting for 20% of PM2.5 concentrations during heavily polluted days). This fault cannot be remedied by assimilation of satellite AODs because they are often missing.
引用
收藏
页码:70 / 78
页数:9
相关论文
共 28 条
[1]  
Buchard V, 2017, J CLIMATE, V30, P6851, DOI [10.1175/JCLI-D-16-0613.1, 10.1175/jcli-d-16-0613.1]
[2]   Evaluation of the surface PM2.5 in Version 1 of the NASA MERRA Aerosol Reanalysis over the United States [J].
Buchard, V. ;
da Silva, A. M. ;
Randles, C. A. ;
Colarco, P. ;
Ferrare, R. ;
Hair, J. ;
Hostetler, C. ;
Tackett, J. ;
Winker, D. .
ATMOSPHERIC ENVIRONMENT, 2016, 125 :100-111
[3]   Evaluation of GEOS-5 sulfur dioxide simulations during the Frostburg, MD 2010 field campaign [J].
Buchard, V. ;
da Silva, A. M. ;
Colarco, P. ;
Krotkov, N. ;
Dickerson, R. R. ;
Stehr, J. W. ;
Mount, G. ;
Spinei, E. ;
Arkinson, H. L. ;
He, H. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2014, 14 (04) :1929-1941
[4]   Ground-based aerosol climatology of China: aerosol optical depths from the China Aerosol Remote Sensing Network (CARSNET) 2002-2013 [J].
Che, H. ;
Zhang, X. -Y. ;
Xia, X. ;
Goloub, P. ;
Holben, B. ;
Zhao, H. ;
Wang, Y. ;
Zhang, X. -C. ;
Wang, H. ;
Blarel, L. ;
Damiri, B. ;
Zhang, R. ;
Deng, X. ;
Ma, Y. ;
Wang, T. ;
Geng, F. ;
Qi, B. ;
Zhu, J. ;
Yu, J. ;
Chen, Q. ;
Shi, G. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2015, 15 (13) :7619-7652
[5]   Column aerosol optical properties and aerosol radiative forcing during a serious haze-fog month over North China Plain in 2013 based on ground-based sunphotometer measurements [J].
Che, H. ;
Xia, X. ;
Zhu, J. ;
Li, Z. ;
Dubovik, O. ;
Holben, B. ;
Goloub, P. ;
Chen, H. ;
Estelles, V. ;
Cuevas-Agullo, E. ;
Blarel, L. ;
Wang, H. ;
Zhao, H. ;
Zhang, X. ;
Wang, Y. ;
Sun, J. ;
Tao, R. ;
Zhang, X. ;
Shi, G. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2014, 14 (04) :2125-2138
[6]   Reactive nitrogen chemistry in aerosol water as a source of sulfate during haze events in China [J].
Cheng, Yafang ;
Zheng, Guangjie ;
Wei, Chao ;
Mu, Qing ;
Zheng, Bo ;
Wang, Zhibin ;
Gao, Meng ;
Zhang, Qiang ;
He, Kebin ;
Carmichael, Gregory ;
Poschl, Ulrich ;
Su, Hang .
SCIENCE ADVANCES, 2016, 2 (12)
[7]   Observations of the Interaction and Transport of Fine Mode Aerosols With Cloud and/or Fog in Northeast Asia From Aerosol Robotic Network and Satellite Remote Sensing [J].
Eck, T. F. ;
Holben, B. N. ;
Reid, J. S. ;
Xian, P. ;
Giles, D. M. ;
Sinyuk, A. ;
Smirnov, A. ;
Schafer, J. S. ;
Slutsker, I. ;
Kim, J. ;
Koo, J. -H. ;
Choi, M. ;
Kim, K. C. ;
Sano, I. ;
Arola, A. ;
Sayer, A. M. ;
Levy, R. C. ;
Munchak, L. A. ;
O'Neill, N. T. ;
Lyapustin, A. ;
Hsu, N. C. ;
Randles, C. A. ;
Da Silva, A. M. ;
Buchard, V. ;
Govindaraju, R. C. ;
Hyer, E. ;
Crawford, J. H. ;
Wang, P. ;
Xia, X. .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2018, 123 (10) :5560-5587
[8]   Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols [J].
Eck, TF ;
Holben, BN ;
Reid, JS ;
Dubovik, O ;
Smirnov, A ;
O'Neill, NT ;
Slutsker, I ;
Kinne, S .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1999, 104 (D24) :31333-31349
[9]  
Fu D., 2018, SCI REP, DOI [10.1038/s41598-01828535-2, DOI 10.1038/S41598-01828535-2]
[10]  
Hess M, 1998, B AM METEOROL SOC, V79, P831, DOI 10.1175/1520-0477(1998)079<0831:OPOAAC>2.0.CO