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

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 × AODAERONET and 0.05 ± 0.2 × AODAERONET) 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%.

[1]  Jeffrey S. Reid,et al.  A decadal regional and global trend analysis of the aerosol optical depth using a data-assimilation grade over-water MODIS and Level 2 MISR aerosol products , 2010 .

[2]  Chunsheng Zhao,et al.  Statistical analysis and parameterization of the hygroscopic growth of the sub-micrometer urban background aerosol in Beijing , 2018 .

[3]  Michael J. Garay,et al.  Satellite-derived aerosol optical depth over dark water from MISR and MODIS : Comparisons with AERONET and implications for climatological studies , 2007 .

[4]  Hong Wang,et al.  Variation in MERRA-2 aerosol optical depth over the Yangtze River Delta from 1980 to 2016 , 2019, Theoretical and Applied Climatology.

[5]  Yuan Chen,et al.  Characteristics and origins of carbonaceous aerosol in the Sichuan Basin, China , 2014 .

[6]  Dongqun Xu,et al.  Systematic review and meta-analysis of the adverse health effects of ambient PM2.5 and PM10 pollution in the Chinese population. , 2015, Environmental research.

[7]  Jianping Huang,et al.  Regional modeling of dust mass balance and radiative forcing over East Asia using WRF-Chem , 2014 .

[8]  Yuxiang Luo,et al.  A climatology of aerosol optical depth over China from recent 10 years of MODIS remote sensing data , 2014 .

[9]  Chuanrong Zhang,et al.  Spatial–Temporal Distribution Characteristics of PM2.5 in China in 2016 , 2018, Journal of Geovisualization and Spatial Analysis.

[10]  Xiuji Zhou,et al.  Characteristics of atmospheric aerosol optical depth variation over China in recent 30 years , 2000 .

[11]  Jia-ling Wang,et al.  Synergy of AERONET and MODIS AOD products in the estimation of PM2.5 concentrations in Beijing , 2018, Scientific Reports.

[12]  Quan Wang,et al.  Aerosol optical depth retrieval from visibility in China during 1973–2014 , 2017 .

[13]  Lorraine Remer,et al.  Machine Learning and Bias Correction of MODIS Aerosol Optical Depth , 2009, IEEE Geoscience and Remote Sensing Letters.

[14]  David G. Streets,et al.  Aerosol trends over China, 1980-2000 , 2008 .

[15]  H. Jiang,et al.  Aerosol optical thickness over Pearl River Delta region, China , 2017 .

[16]  Jane Liu,et al.  The surface aerosol optical properties in the urban area of Nanjing, west Yangtze River Delta, China , 2016 .

[17]  Zhanqing Li,et al.  Validation of MODIS aerosol products by CSHNET over China , 2007 .

[18]  Zhanqing Li,et al.  Seasonal variations in aerosol optical properties over China , 2008 .

[19]  F. Giorgi,et al.  Regional climate effects of aerosols over China: modeling and observation , 2003 .

[20]  Xiangao Xia,et al.  Aerosol optical properties and their radiative effects in northern China , 2007 .

[21]  T. Eck,et al.  Global evaluation of the Collection 5 MODIS dark-target aerosol products over land , 2010 .

[22]  Jeffrey S. Reid,et al.  Has China been exporting less particulate air pollution over the past decade? , 2017 .

[23]  Jietai Mao,et al.  Characteristics of distribution and seasonal variation of aerosol optical depth in eastern China with MODIS products , 2003, Science Bulletin.

[24]  Alexander Smirnov,et al.  Cloud-Screening and Quality Control Algorithms for the AERONET Database , 2000 .

[25]  中華人民共和国上海市統計局 Shanghai statistical yearbook , 1988 .

[26]  Mikalai Filonchyk,et al.  Aerosol contamination survey during dust storm process in Northwestern China using ground, satellite observations and atmospheric modeling data , 2018, Theoretical and Applied Climatology.

[27]  Lorraine Remer,et al.  MISR Aerosol Product Attributes and Statistical Comparisons With MODIS , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[28]  Yujie Wang,et al.  Exploring systematic offsets between aerosol products from the two MODIS sensors. , 2018, Atmospheric measurement techniques.

[29]  Patrick Minnis,et al.  Possible influences of Asian dust aerosols on cloud properties and radiative forcing observed from MODIS and CERES , 2006 .

[30]  Jian Wu,et al.  Trends of visibility on sunny days in China in the recent 50 years , 2012 .

[31]  Brian Cairns,et al.  Toward unified satellite climatology of aerosol properties.: 3. MODIS versus MISR versus AERONET , 2010 .

[32]  G. Wang,et al.  Study on aerosol optical properties and radiative effect in cloudy weather in the Guangzhou region. , 2016, The Science of the total environment.

[33]  Jean-Christophe Golaz,et al.  The roles of aerosol direct and indirect effects in past and future climate change , 2013 .

[34]  David G. Streets,et al.  Multi-decadal aerosol variations from 1980 to 2009: a perspective from observations and a global model , 2014 .

[35]  Yan Yin,et al.  Long-term (2002–2014) evolution and trend in Collection 5.1 Level-2 aerosol products derived from the MODIS and MISR sensors over the Chinese Yangtze River Delta , 2016 .

[36]  Yang Sun,et al.  Aerosol optical depth (AOD) and Angstrom exponent of aerosols observed by the Chinese Sun Hazemeter Network from August 2004 to September 2005 , 2007 .

[37]  A. Smirnov,et al.  AERONET-a federated instrument network and data archive for aerosol Characterization , 1998 .

[38]  R. Walters Toxic Atmospheres Air Pollution, Trade and the Politics of Regulation , 2010 .

[39]  Renjian Zhang,et al.  Carbonaceous aerosols in China: top-down constraints on primary sources and estimation of secondary contribution , 2012 .

[40]  Xiangao Xia,et al.  Climatological aspects of aerosol optical properties in North China Plain based on ground and satellite remote-sensing data , 2013 .

[41]  Xiangao Xia,et al.  Ground-based aerosol climatology of China: aerosol optical depths from the China Aerosol Remote Sensing Network (CARSNET) 2002–2013 , 2015 .

[42]  David J. Diner,et al.  Comparison of coincident Multiangle Imaging Spectroradiometer and Moderate Resolution Imaging Spectroradiometer aerosol optical depths over land and ocean scenes containing Aerosol Robotic Network sites , 2005 .

[43]  Xiaoxiong Xiong,et al.  Validation of MODIS aerosol optical depth product over China using CARSNET measurements , 2011 .

[44]  Alexander Smirnov,et al.  Multiangle Imaging SpectroRadiometer global aerosol product assessment by comparison with the Aerosol Robotic Network , 2010 .

[45]  Robin J. Leatherbarrow,et al.  On to the second generation , 1990, Nature.

[46]  Renjian Zhang,et al.  Seasonal variation and difference of aerosol optical properties in columnar and surface atmospheres over Shanghai , 2015 .

[47]  Mukunda Mishra,et al.  Soil Erosion Susceptibility Mapping with the Application of Logistic Regression and Artificial Neural Network , 2018, Journal of Geovisualization and Spatial Analysis.

[48]  Effects of sources, transport, and postdepositional processes on levoglucosan records in southeastern Tibetan glaciers , 2016 .

[49]  Meigen Zhang,et al.  Emission controls versus meteorological conditions in determining aerosol concentrations in Beijing during the 2008 Olympic Games , 2011 .

[50]  T. Eck,et al.  An emerging ground-based aerosol climatology: Aerosol optical depth from AERONET , 2001 .

[51]  W. Steiner The influence of air pollution on moss-dwelling animals: 1. Methodology and composition of flora and fauna , 1994 .

[52]  R Zenobi,et al.  Secondary organic aerosols from anthropogenic and biogenic precursors. , 2005, Faraday discussions.

[53]  M. Agrawal,et al.  World air particulate matter: sources, distribution and health effects , 2017, Environmental Chemistry Letters.

[54]  L. Remer,et al.  The Collection 6 MODIS aerosol products over land and ocean , 2013 .

[55]  W. You,et al.  Estimating PM2.5 in Xi'an, China using aerosol optical depth: a comparison between the MODIS and MISR retrieval models. , 2015, The Science of the total environment.

[56]  J. Xin,et al.  Validation of MODIS C6 AOD products retrieved by the Dark Target method in the Beijing–Tianjin–Hebei urban agglomeration, China , 2017, Advances in Atmospheric Sciences.

[57]  Ke Gui,et al.  Spatial distribution and temporal variation of aerosol optical depth in the Sichuan basin, China, the recent ten years , 2016 .

[58]  Mikalai Filonchyk,et al.  Temporal and spatial variation of particulate matter and its correlation with other criteria of air pollutants in Lanzhou, China, in spring-summer periods , 2018, Atmospheric Pollution Research.

[59]  Peng Wang,et al.  Aerosol optical properties of regional background atmosphere in Northeast China , 2010 .

[60]  Yunpeng Wang,et al.  What drives the aerosol distribution in Guangdong - the most developed province in Southern China? , 2014, Scientific Reports.

[61]  L. Leung,et al.  Potential regional climate change and implications to U.S. air quality , 2005 .

[62]  O. Boucher,et al.  A satellite view of aerosols in the climate system , 2002, Nature.

[63]  P. Pilewskie,et al.  Characteristics, sources, and transport of aerosols measured in spring 2008 during the aerosol, radiation, and cloud processes affecting Arctic Climate (ARCPAC) Project , 2010 .

[64]  Jin Huang,et al.  Enhanced Deep Blue aerosol retrieval algorithm: The second generation , 2013 .

[65]  Xin Jiang,et al.  Comparison of MISR aerosol optical thickness with AERONET measurements in Beijing metropolitan area , 2007 .

[66]  Tami C. Bond,et al.  Critical assessment of the current state of scientific knowledge, terminology, and research needs concerning the role of organic aerosols in the atmosphere, climate, and global change , 2005 .

[67]  H. Kan,et al.  Impact of haze and air pollution-related hazards on hospital admissions in Guangzhou, China , 2014, Environmental Science and Pollution Research.

[68]  Alexander Smirnov,et al.  Development of a Global Validation Package for Satellite Oceanic Aerosol Optical Thickness Retrieval Based on AERONET Observations and Its Application to NOAA/NESDIS Operational Aerosol Retrievals. , 2002 .

[69]  Lin Su,et al.  Synergetic Use of MODIS Cloud Parameters for Distinguishing High Aerosol Loadings From Clouds Over the North China Plain , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[70]  Jing Liu,et al.  Aerosol optical depth over the Tibetan Plateau and its relation to aerosols over the Taklimakan Desert , 2008 .

[71]  P. Kinney,et al.  Climate change, air quality, and human health. , 2008, American journal of preventive medicine.

[72]  Mikalai Filonchyk,et al.  Analysis of spatial and temporal variability of aerosol optical depth over China using MODIS combined Dark Target and Deep Blue product , 2018, Theoretical and Applied Climatology.

[73]  Zhengqiang Li,et al.  Validation of MODIS Aerosol Optical Depth Retrieval over Mountains in Central China Based on a Sun-Sky Radiometer Site of SONET , 2016, Remote. Sens..

[74]  Glen Lesins,et al.  Contribution of Changes in Sea Surface Temperature and Aerosol Loading to the Decreasing Precipitation Trend in Southern China , 2005 .

[75]  J. Lamarque,et al.  Global air quality and climate. , 2012, Chemical Society reviews.

[76]  Hong Wang,et al.  Water vapor variation and the effect of aerosols in China , 2017 .