Combined use of satellite and surface observations to study aerosol optical depth in different regions of China

被引:84
作者
Filonchyk, Mikalai [1 ,2 ]
Yan, Haowen [1 ,2 ]
Zhang, Zhongrong [3 ]
Yang, Shuwen [1 ,2 ]
Li, Wei [1 ,2 ]
Li, Yanming [4 ]
机构
[1] Lanzhou Jiaotong Univ, Fac Geomat, Lanzhou 730070, Gansu, Peoples R China
[2] Gansu Prov Engn Lab Natl Geog State Monitoring, Lanzhou 730070, Gansu, Peoples R China
[3] Lanzhou Jiaotong Univ, Sch Math & Phys, Lanzhou 730070, Gansu, Peoples R China
[4] Lanzhou Petrochem Polytech, Informat Technol & Educ Ctr, Lanzhou 730070, Gansu, Peoples R China
基金
中国博士后科学基金; 国家重点研发计划;
关键词
AIR-POLLUTION; PARTICULATE MATTER; ORGANIC AEROSOLS; CLIMATE-CHANGE; SICHUAN BASIN; RIVER DELTA; MODIS; PRODUCTS; MISR; VALIDATION;
D O I
10.1038/s41598-019-42466-6
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Aerosol optical depth (AOD) is one of essential atmosphere parameters for climate change assessment as well as for total ecological situation study. This study presents long-term data (2000-2017) on time-space distribution and trends in AOD over various ecological regions of China, received from Moderate Resolution Imaging Spectroradiometer (MODIS) (combined Dark Target and Deep Blue) and Multi-angle Imaging Spectroradiometer (MISR), based on satellite Terra. Ground-based stations Aerosol Robotic Network (AERONET) were used to validate the data obtained. AOD data, obtained from two spectroradiometers, demonstrate the significant positive correlation relationships (r= 0.747), indicating that 55% of all data illustrate relationship among the parameters under study. Comparison of results, obtained with MODIS/MISR Terra and AERONET, demonstrate high relation (r= 0.869 - 0.905), while over 60% of the entire sampling fall within the range of the expected tolerance, established by MODIS and MISR over earth (+/- 0.05 +/- 0.15 x AOD(AERONET) and 0.05 +/- 0.2 x AOD(AERONET)) with root-mean-square error (RMSE) of 0.097-0.302 and 0.067-0.149, as well as low mean absolute error (MAE) of 0.068-0.18 and 0.067-0.149, respectively. The MODIS search results were overestimated for AERONET stations with an average overestimation ranging from 14 to 17%, while there was an underestimate of the search results using MISR from 8 to 22%.
引用
收藏
页数:15
相关论文
共 79 条
[1]   Comparison of coincident Multiangle Imaging Spectroradiometer and Moderate Resolution Imaging Spectroradiometer aerosol optical depths over land and ocean scenes containing Aerosol Robotic Network sites [J].
Abdou, WA ;
Diner, DJ ;
Martonchik, JV ;
Bruegge, CJ ;
Kahn, RA ;
Gaitley, BJ ;
Crean, KA ;
Remer, LA ;
Holben, B .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2005, 110 (D10) :1-12
[2]   Secondary organic aerosols from anthropogenic and biogenic precursors [J].
Baltensperger, U ;
Kalberer, M ;
Dommen, J ;
Paulsen, D ;
Alfarra, MR ;
Coe, H ;
Fisseha, R ;
Gascho, A ;
Gysel, M ;
Nyeki, S ;
Sax, M ;
Steinbacher, M ;
Prevot, ASH ;
Sjögren, S ;
Weingartner, E ;
Zenobi, R .
FARADAY DISCUSSIONS, 2005, 130 :265-278
[3]   Characteristics, sources, and transport of aerosols measured in spring 2008 during the aerosol, radiation, and cloud processes affecting Arctic Climate (ARCPAC) Project [J].
Brock, C. A. ;
Cozic, J. ;
Bahreini, R. ;
Froyd, K. D. ;
Middlebrook, A. M. ;
McComiskey, A. ;
Brioude, J. ;
Cooper, O. R. ;
Stohl, A. ;
Aikin, K. C. ;
de Gouw, J. A. ;
Fahey, D. W. ;
Ferrare, R. A. ;
Gao, R-S. ;
Gore, W. ;
Holloway, J. S. ;
Huebler, G. ;
Jefferson, A. ;
Lack, D. A. ;
Lance, S. ;
Moore, R. H. ;
Murphy, D. M. ;
Nenes, A. ;
Novelli, P. C. ;
Nowak, J. B. ;
Ogren, J. A. ;
Peischl, J. ;
Pierce, R. B. ;
Pilewskie, P. ;
Quinn, P. K. ;
Ryerson, T. B. ;
Schmidt, K. S. ;
Schwarz, J. P. ;
Sodemann, H. ;
Spackman, J. R. ;
Stark, H. ;
Thomson, D. S. ;
Thornberry, T. ;
Veres, P. ;
Watts, L. A. ;
Warneke, C. ;
Wollny, A. G. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2011, 11 (06) :2423-2453
[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]   Regional modeling of dust mass balance and radiative forcing over East Asia using WRF-Chem [J].
Chen, Siyu ;
Zhao, Chun ;
Qian, Yun ;
Leung, L. Ruby ;
Huang, Jianping ;
Huang, Zhongwei ;
Bi, Jianrong ;
Zhang, Wu ;
Shi, Jinsen ;
Yang, Lei ;
Li, Deshuai ;
Li, Jinxin .
AEOLIAN RESEARCH, 2014, 15 :15-30
[6]   Characteristics and origins of carbonaceous aerosol in the Sichuan Basin, China [J].
Chen, Yuan ;
Xie, Shaodong ;
Luo, Bin ;
Zhai, Chongzhi .
ATMOSPHERIC ENVIRONMENT, 2014, 94 :215-223
[7]   Seasonal variation and difference of aerosol optical properties in columnar and surface atmospheres over Shanghai [J].
Cheng, Tiantao ;
Xu, Chen ;
Duan, Junyan ;
Wang, Yifan ;
Leng, Chunpeng ;
Tao, Jun ;
Che, Huizheng ;
He, Qianshan ;
Wu, Yunfei ;
Zhang, Renjian ;
Li, Xiang ;
Chen, Jianmin ;
Kong, Lingdong ;
Yu, Xingna .
ATMOSPHERIC ENVIRONMENT, 2015, 123 :315-326
[8]   Contribution of changes in sea surface temperature and aerosol loading to the decreasing precipitation trend in Southern China [J].
Cheng, YJ ;
Lohmann, U ;
Zhang, JH .
JOURNAL OF CLIMATE, 2005, 18 (09) :1381-1390
[9]   Multi-decadal aerosol variations from 1980 to 2009: a perspective from observations and a global model [J].
Chin, Mian ;
Diehl, T. ;
Tan, Q. ;
Prospero, J. M. ;
Kahn, R. A. ;
Remer, L. A. ;
Yu, H. ;
Sayer, A. M. ;
Bian, H. ;
Geogdzhayev, I. V. ;
Holben, B. N. ;
Howell, S. G. ;
Huebert, B. J. ;
Hsu, N. C. ;
Kim, D. ;
Kucsera, T. L. ;
Levy, R. C. ;
Mishchenko, M. I. ;
Pan, X. ;
Quinn, P. K. ;
Schuster, G. L. ;
Streets, D. G. ;
Strode, S. A. ;
Torres, O. ;
Zhao, X. -P. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2014, 14 (07) :3657-3690
[10]   Study on aerosol optical properties and radiative effect in cloudy weather in the Guangzhou region [J].
Deng, Tao ;
Deng, XueJiao ;
Li, Fei ;
Wang, ShiQiang ;
Wang, Gang .
SCIENCE OF THE TOTAL ENVIRONMENT, 2016, 568 :147-154