Arid
DOI10.5194/acp-18-1573-2018
Two decades of satellite observations of AOD over mainland China using ATSR-2, AATSR and MODIS/Terra: data set evaluation and large-scale patterns
de Leeuw, Gerrit1; Sogacheva, Larisa1; Rodriguez, Edith1; Kourtidis, Konstantinos2; Georgoulias, Aristeidis K.2; Alexandri, Georgia; Amiridis, Vassilis3; Proestakis, Emmanouil3,4; Marinou, Eleni3; Xue, Yong5; van der A, Ronald6
通讯作者de Leeuw, Gerrit
来源期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
ISSN1680-7316
EISSN1680-7324
出版年2018
卷号18期号:3页码:1573-1592
英文摘要

The retrieval of aerosol properties from satellite observations provides their spatial distribution over a wide area in cloud-free conditions. As such, they complement ground-based measurements by providing information over sparsely instrumented areas, albeit that significant differences may exist in both the type of information obtained and the temporal information from satellite and ground-based observations. In this paper, information from different types of satellite-based instruments is used to provide a 3-D climatology of aerosol properties over mainland China, i.e., vertical profiles of extinction coefficients from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), a lidar flying aboard the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite and the columnintegrated extinction (aerosol optical depth - AOD) available from three radiometers: the European Space Agency (ESA)’s Along-Track Scanning Radiometer version 2 (ATSR-2), Advanced Along-Track Scanning Radiometer (AATSR) (together referred to as ATSR) and NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Terra satellite, together spanning the period 1995-2015. AOD data are retrieved from ATSR using the ATSR dual view (ADV) v2.31 algorithm, while for MODIS Collection 6 (C6) the AOD data set is used that was obtained from merging the AODs obtained from the dark target (DT) and deep blue (DB) algorithms, further referred to as the DTDB merged AOD product. These data sets are validated and differences are compared using Aerosol Robotic Network (AERONET) version 2 L2.0 AOD data as reference. The results show that, over China, ATSR slightly underestimates the AOD and MODIS slightly overestimates the AOD. Consequently, ATSR AOD is overall lower than that from MODIS, and the difference increases with increasing AOD. The comparison also shows that neither of the ATSR and MODIS AOD data sets is better than the other one everywhere. However, ATSR ADV has limitations over bright surfaces which the MODIS DB was designed for. To allow for comparison of MODIS C6 results with previous analyses where MODIS Collection 5.1 (C5.1) data were used, also the difference between the C6 and C5.1 merged DTDB data sets from MODIS/Terra over China is briefly discussed.


The AOD data sets show strong seasonal differences and the seasonal features vary with latitude and longitude across China. Two-decadal AOD time series, averaged over all of mainland China, are presented and briefly discussed. Using the 17 years of ATSR data as the basis and MODIS/Terra to follow the temporal evolution in recent years when the environmental satellite Envisat was lost requires a compari son of the data sets for the overlapping period to show their complementarity. ATSR precedes the MODIS time series between 1995 and 2000 and shows a distinct increase in the AOD over this period. The two data series show similar variations during the overlapping period between 2000 and 2011, with minima and maxima in the same years. MODIS extends this time series beyond the end of the Envisat period in 2012, showing decreasing AOD.


类型Article
语种英语
国家Finland ; Greece ; England ; Netherlands
收录类别SCI-E
WOS记录号WOS:000424122600001
WOS关键词AEROSOL OPTICAL DEPTH ; PARTICULATE AIR-POLLUTION ; LONG-RANGE TRANSPORT ; MODIS COLLECTION 6 ; DESERT DUST ; SPATIOTEMPORAL VARIATION ; 3-DIMENSIONAL STRUCTURE ; TROPOSPHERIC AEROSOLS ; PM2.5 CONCENTRATIONS ; SPATIAL-DISTRIBUTION
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/207878
作者单位1.FMI, Climate Res Unit, Helsinki, Finland;
2.Democritus Univ Thrace, Dept Environm Engn, Lab Atmospher Pollut & Pollut Control Engn Atmosp, Xanthi, Greece;
3.NOA, Athens, Greece;
4.Univ Patras, Dept Phys, Lab Atmospher Phys, Patras, Greece;
5.Univ Derby, Coll Engn & Technol, Dept Elect Comp & Math, Derby, England;
6.Royal Netherlands Meteorol Inst KNMI, De Bilt, Netherlands
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de Leeuw, Gerrit,Sogacheva, Larisa,Rodriguez, Edith,et al. Two decades of satellite observations of AOD over mainland China using ATSR-2, AATSR and MODIS/Terra: data set evaluation and large-scale patterns[J],2018,18(3):1573-1592.
APA de Leeuw, Gerrit.,Sogacheva, Larisa.,Rodriguez, Edith.,Kourtidis, Konstantinos.,Georgoulias, Aristeidis K..,...&van der A, Ronald.(2018).Two decades of satellite observations of AOD over mainland China using ATSR-2, AATSR and MODIS/Terra: data set evaluation and large-scale patterns.ATMOSPHERIC CHEMISTRY AND PHYSICS,18(3),1573-1592.
MLA de Leeuw, Gerrit,et al."Two decades of satellite observations of AOD over mainland China using ATSR-2, AATSR and MODIS/Terra: data set evaluation and large-scale patterns".ATMOSPHERIC CHEMISTRY AND PHYSICS 18.3(2018):1573-1592.
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