Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 11, issue 7
Articles | Volume 11, issue 7
https://doi.org/10.5194/amt-11-4073-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-4073-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 7
Research article
 | 
13 Jul 2018
Research article |  | 13 Jul 2018

Exploring systematic offsets between aerosol products from the two MODIS sensors

Robert C. Levy, Shana Mattoo, Virginia Sawyer, Yingxi Shi, Peter R. Colarco, Alexei I. Lyapustin, Yujie Wang, and Lorraine A. Remer

Data sets

MODIS/Terra Aerosol 5-Min L2 Swath 10km R. C. Levy, N.-C. Hsu, and the Collection 6 Aerosol Retrieval Team https://doi.org/10.5067/MODIS/MOD04_L2.006

MODIS/Aqua Aerosol 5-Min L2 Swath 10km R. C. Levy, N.-C. Hsu, and the Collection 6 Aerosol Retrieval Team https://doi.org/10.5067/MODIS/MYD04_L2.006

MODIS/Terra Aerosol Cloud Water Vapor Ozone Monthly L3 Global 1Deg CMG S. Platnick, P. Hubanks, K. Meyer, and M. D. King https://doi.org/10.5067/MODIS/MOD08_M3.006

MODIS/Aqua Aerosol Cloud Water Vapor Ozone Monthly L3 Global 1Deg CMG S. Platnick, P. Hubanks, K. Meyer, and M. D. King https://doi.org/10.5067/MODIS/MYD08_M3.006

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Short summary
Global aerosol data sets are essential for assessing climate-related questions. When comparing data sets derived from twin satellite sensors, we find consistent global offsets between morning and afternoon observations. Applying satellite-like sampling to a global model derives much weaker morning/afternoon offsets, suggesting that the observational differences are due to calibration. However, applying additional calibration corrections appears to reduce (but not remove) the global offsets.
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