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.
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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- 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 Dec 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...