Articles | Volume 12, issue 7
https://doi.org/10.5194/amt-12-4091-2019
https://doi.org/10.5194/amt-12-4091-2019
Research article
 | 
26 Jul 2019
Research article |  | 26 Jul 2019

Investigations into the development of a satellite-based aerosol climate data record using ATSR-2, AATSR and AVHRR data over north-eastern China from 1987 to 2012

Yahui Che, Jie Guang, Gerrit de Leeuw, Yong Xue, Ling Sun, and Huizheng Che

Related authors

ALBEDO RETRIEVING FROM DSCOVR/EPIC DATA AND PRELIMINARY VALIDATION
Q. Y. Tian, Q. Liu, H. W. Zhang, Y. H. Che, Y. N. Wen, Z. Shi, and J. Guang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W9, 147–152, https://doi.org/10.5194/isprs-archives-XLII-3-W9-147-2019,https://doi.org/10.5194/isprs-archives-XLII-3-W9-147-2019, 2019
VALIDATION OF AEROSOL PRODUCTS FROM ESA/AATSR OVER CHINA AND AOD FUSION BASED ON UNCERTAINTIES
Y. N. Wen, Y. H. Che, J. Guang, Y. Q. Xie, Z. Shi, Y. Zhang, and Z. Q. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W9, 181–185, https://doi.org/10.5194/isprs-archives-XLII-3-W9-181-2019,https://doi.org/10.5194/isprs-archives-XLII-3-W9-181-2019, 2019
Towards a comprehensive view of dust events from multiple satellite and ground measurements: exemplified by the May 2017 East Asian dust storm
Lu She, Yong Xue, Jie Guang, Yahui Che, Cheng Fan, Ying Li, and Yanqing Xie
Nat. Hazards Earth Syst. Sci., 18, 3187–3201, https://doi.org/10.5194/nhess-18-3187-2018,https://doi.org/10.5194/nhess-18-3187-2018, 2018
Short summary
RETRIEVAL OF ATMOSPHERIC PARTICULATE MATTER USING SATELLITE DATA OVER CENTRAL AND EASTERN CHINA
G. L. Chen, J. Guang, Y. Li, Y. H. Che, and S. Q. Gong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 147–153, https://doi.org/10.5194/isprs-archives-XLII-3-147-2018,https://doi.org/10.5194/isprs-archives-XLII-3-147-2018, 2018
Technical note: Intercomparison of three AATSR Level 2 (L2) AOD products over China
Yahui Che, Yong Xue, Linlu Mei, Jie Guang, Lu She, Jianping Guo, Yincui Hu, Hui Xu, Xingwei He, Aojie Di, and Cheng Fan
Atmos. Chem. Phys., 16, 9655–9674, https://doi.org/10.5194/acp-16-9655-2016,https://doi.org/10.5194/acp-16-9655-2016, 2016
Short summary

Related subject area

Subject: Aerosols | Technique: Remote Sensing | Topic: Validation and Intercomparisons
Estimating hourly ground-level aerosols using Geostationary Environment Monitoring Spectrometer aerosol optical depth: a machine learning approach
Sungmin O, Ji Won Yoon, and Seon Ki Park
Atmos. Meas. Tech., 18, 1471–1484, https://doi.org/10.5194/amt-18-1471-2025,https://doi.org/10.5194/amt-18-1471-2025, 2025
Short summary
A global perspective on CO2 satellite observations in high AOD conditions
Timo H. Virtanen, Anu-Maija Sundström, Elli Suhonen, Antti Lipponen, Antti Arola, Christopher O'Dell, Robert R. Nelson, and Hannakaisa Lindqvist
Atmos. Meas. Tech., 18, 929–952, https://doi.org/10.5194/amt-18-929-2025,https://doi.org/10.5194/amt-18-929-2025, 2025
Short summary
Aerosol layer height (ALH) retrievals from oxygen absorption bands: intercomparison and validation among different satellite platforms, GEMS, EPIC, and TROPOMI
Hyerim Kim, Xi Chen, Jun Wang, Zhendong Lu, Meng Zhou, Gregory R. Carmichael, Sang Seo Park, and Jhoon Kim
Atmos. Meas. Tech., 18, 327–349, https://doi.org/10.5194/amt-18-327-2025,https://doi.org/10.5194/amt-18-327-2025, 2025
Short summary
Intercomparison of aerosol optical depth retrievals from GAW-PFR and SKYNET sun photometer networks and the effect of calibration
Angelos Karanikolas, Natalia Kouremeti, Monica Campanelli, Victor Estellés, Masahiro Momoi, Gaurav Kumar, Stephan Nyeki, and Stelios Kazadzis
Atmos. Meas. Tech., 17, 6085–6105, https://doi.org/10.5194/amt-17-6085-2024,https://doi.org/10.5194/amt-17-6085-2024, 2024
Short summary
Evaluation of Aeolus feature mask and particle extinction coefficient profile products using CALIPSO data
Ping Wang, David Patrick Donovan, Gerd-Jan van Zadelhoff, Jos de Kloe, Dorit Huber, and Katja Reissig
Atmos. Meas. Tech., 17, 5935–5955, https://doi.org/10.5194/amt-17-5935-2024,https://doi.org/10.5194/amt-17-5935-2024, 2024
Short summary

Cited articles

AERONET: available at: https://aeronet.gsfc.nasa.gov/, last access: 27 June 2019. 
Allen, R. C., Durkee, P. A., and Wash, C .H.: Snow/Cloud Discrimination with Multispectral Satellite Measurements, J. Appl. Meteorol. Clim., 29, 994–1004, https://doi.org/10.1175/1520-0450(1990)029<0994:SDWMSM>2.0.CO;2, 1990. 
Ångström, A.: Solar and terrestrial radiation. Report to the international commission for solar research on actinometric investigations of solar and atmospheric radiation, Q. J. Roy. Meteor. Soc., 50, 121–126, https://doi.org/10.1002/qj.49705021008, 1924. 
Bai, J., de Leeuw, G., van der A, R., De Smedt, I., Theys, N., Van Roozendael, M., Sogacheva, L., and Chaia, W.: Variations and photochemical transformations of atmospheric constituents in North China, Atmos. Environ., 189, 213–226, https://doi.org/10.1016/j.atmosenv.2018.07.004, 2018. 
Boucher, O., Randall, D., Artaxo, P., Bretherton, C., Feingold, G., Forster, P., Kerminen, V.-M., Kondo, Y., Liao, H., Lohmann, U., Rasch, P., Satheesh, S.K., Sherwood, S., Stevens, B., and Zhang, X.: Clouds and Aerosols, in: Climate Change 2013: The Physical Science Basis, Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 2013. 
Download
Short summary
The use of AOD data retrieved from ATSR-2, AATSR and AVHRR to produce a very long time series is investigated. The study is made over a small area in northern China with a large variation of AOD values. Sun photometer data from AERONET and CARSNET and radiance-derived AOD are used as reference. The results show that all data sets compare well. However, AVHRR underestimates high AOD (mainly occurring in summer) but performs better than (A)ATSR in winter.
Share