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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Jul 2018
Research article |
| 13 Jul 2018
| 13 Jul 2018
Exploring systematic offsets between aerosol products from the two MODIS sensors
NASA-Goddard Space Flight Center (GSFC), Greenbelt, Maryland, USA
Shana Mattoo
Science Systems and Applications (SSAI), Lanham, Maryland, USA
NASA-Goddard Space Flight Center (GSFC), Greenbelt, Maryland, USA
Virginia Sawyer
Science Systems and Applications (SSAI), Lanham, Maryland, USA
NASA-Goddard Space Flight Center (GSFC), Greenbelt, Maryland, USA
Yingxi Shi
Goddard Earth Sciences Technology And Research (GESTAR), University Space Research Association (USRA), Columbia, Maryland, USA
NASA-Goddard Space Flight Center (GSFC), Greenbelt, Maryland, USA
Peter R. Colarco
NASA-Goddard Space Flight Center (GSFC), Greenbelt, Maryland, USA
Alexei I. Lyapustin
NASA-Goddard Space Flight Center (GSFC), Greenbelt, Maryland, USA
Yujie Wang
Joint Center for Earth systems Technology (JCET), University of Maryland-Baltimore County (UMBC), Baltimore, Maryland, USA
NASA-Goddard Space Flight Center (GSFC), Greenbelt, Maryland, USA
Lorraine A. Remer
Joint Center for Earth systems Technology (JCET), University of Maryland-Baltimore County (UMBC), Baltimore, Maryland, USA
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- Multi-source hierarchical data fusion for high-resolution AOD mapping in a forest fire event X. Wei et al. 10.1016/j.jag.2021.102366
- Variations in Aerosol Optical Properties over East Asian Dust Storm Source Regions and Their Climatic Factors during 2000–2021 S. Tan et al. 10.3390/atmos13060992
- Combined use of satellite and surface observations to study aerosol optical depth in different regions of China M. Filonchyk et al. 10.1038/s41598-019-42466-6
- The CAMS reanalysis of atmospheric composition A. Inness et al. 10.5194/acp-19-3515-2019
- Interannual variability and trends of combustion aerosol and dust in major continental outflows revealed by MODIS retrievals and CAM5 simulations during 2003–2017 H. Yu et al. 10.5194/acp-20-139-2020
- Benchmarking GOCART-2G in the Goddard Earth Observing System (GEOS) A. Collow et al. 10.5194/gmd-17-1443-2024
- Validation and Analysis of MAIAC AOD Aerosol Products in East Asia from 2011 to 2020 P. Wang et al. 10.3390/rs14225735
- Validation and diurnal variation evaluation of MERRA-2 multiple aerosol properties on a global scale X. Su et al. 10.1016/j.atmosenv.2023.120019
- Applying the Dark Target aerosol algorithm with Advanced Himawari Imager observations during the KORUS-AQ field campaign P. Gupta et al. 10.5194/amt-12-6557-2019
Latest update: 14 Nov 2024
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.
Global aerosol data sets are essential for assessing climate-related questions. When comparing...
