the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Merging aerosol optical depth data from multiple satellite missions to view agricultural biomass burning in Central and East China
Abstract. Agricultural biomass burning (ABB) in Central and East China occurs every year from May to October and peaks in June. The biomass burning event in June 2007 was very strong. During the period from 26 May to 16 June 2007, ABB occurred mainly in Anhui, Henan, Jiangsu and Shandong provinces. A comprehensive set of aerosol optical depth (AOD) data, produced by a merger of AOD product data from the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Multiangle Imaging Spectroradiometer (MIRS), is used to study the spatial and temporal distribution of agricultural biomass aerosols in Central and East China combining with ground observations from both AErosol RObotic NETwork (AERONET) and China Aerosol Remote Sensing NETwork (CARSNET) measurements. We compared merged AOD data with single-sensor single-algorithm AOD data (MODIS Dark Target AOD data, MODIS Deep Blue AOD data, SRAP-MODIS AOD data and MISR AOD data). In this comparison, we found merged AOD products can improve the quality of AOD products from single-sensor single-algorithm data sets by expanding the spatial coverage of the study area and keeping the statistical confidence in AOD parameters. There existed high correlation (0.8479) between the merged AOD data and AERONET measurements. Our merged AOD data make use of synergetic information conveyed in all of the available satellite data. The merged AOD data were used for the analysis of the biomass burning event from 26 May to 16 June 2007 together with meteorological data. The merged AOD products and the ground observations from China suggest that biomass burning in Central and East China has had great impact on AOD over China. Influenced by this ABB, the highest AOD value in Beijing on 12 June 2007 reached 5.71.
- Preprint
(6138 KB) - Metadata XML
- BibTeX
- EndNote
-
RC C3797: 'Review of manuscript "Merging aerosol optical depth data from multiple satellite missions to view agricultural biomass burning in Central and East China", submitted to ACP by Xue et al.', Anonymous Referee #1, 19 Jun 2012
- AC C5510: 'Responses', Yong Xue, 08 Aug 2012
-
RC C4129: 'Comments on the manuscript Merging aerosol optical depth data from multiple satellite missions to view agricultural biomass burning in Central and East China', Anonymous Referee #2, 28 Jun 2012
- AC C5517: 'Responses', Yong Xue, 08 Aug 2012
-
RC C3797: 'Review of manuscript "Merging aerosol optical depth data from multiple satellite missions to view agricultural biomass burning in Central and East China", submitted to ACP by Xue et al.', Anonymous Referee #1, 19 Jun 2012
- AC C5510: 'Responses', Yong Xue, 08 Aug 2012
-
RC C4129: 'Comments on the manuscript Merging aerosol optical depth data from multiple satellite missions to view agricultural biomass burning in Central and East China', Anonymous Referee #2, 28 Jun 2012
- AC C5517: 'Responses', Yong Xue, 08 Aug 2012
Viewed
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,374 | 1,036 | 128 | 2,538 | 133 | 100 |
- HTML: 1,374
- PDF: 1,036
- XML: 128
- Total: 2,538
- BibTeX: 133
- EndNote: 100
Cited
8 citations as recorded by crossref.
- Estimation of Biomass Burning Influence on Air Pollution around Beijing from an Aerosol Retrieval Model S. Mukai et al. 10.1155/2014/649648
- Satellite-Derived Aerosol Optical Depth Fusion Combining Active and Passive Remote Sensing Based on Bayesian Maximum Entropy X. Xia et al. 10.1109/TGRS.2021.3051799
- Seasonal variations in surface ozone as influenced by Asian summer monsoon and biomass burning in agricultural fields of the northern Yangtze River Delta H. Tang et al. 10.1016/j.atmosres.2012.10.030
- Integration of GOCI and AHI Yonsei aerosol optical depth products during the 2016 KORUS-AQ and 2018 EMeRGe campaigns H. Lim et al. 10.5194/amt-14-4575-2021
- Spatiotemporal fusion of multiple‐satellite aerosol optical depth (AOD) products using Bayesian maximum entropy method Q. Tang et al. 10.1002/2015JD024571
- Himawari-8 High Temporal Resolution AOD Products Recovery: Nested Bayesian Maximum Entropy Fusion Blending GEO With SSO Satellite Observations T. Zhang et al. 10.1109/TGRS.2023.3262785
- “North drying and south wetting” summer precipitation trend over China and its potential linkage with aerosol loading J. Ye et al. 10.1016/j.atmosres.2013.01.007
- Comparing ECMWF AOD with AERONET observations at visible and UV wavelengths V. Cesnulyte et al. 10.5194/acp-14-593-2014