Articles | Volume 9, issue 7
https://doi.org/10.5194/amt-9-3293-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-9-3293-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
26 Jul 2016
Research article |
| 26 Jul 2016
A surface reflectance scheme for retrieving aerosol optical depth over urban surfaces in MODIS Dark Target retrieval algorithm
Goddard Earth Sciences Technology And Research (GESTAR),
Universities Space Research Association (USRA), Columbia, MD,
USA
NASA Goddard Space Flight Center, Greenbelt, MD 20771,
USA
Robert C. Levy
NASA Goddard Space Flight Center, Greenbelt, MD 20771,
USA
Shana Mattoo
NASA Goddard Space Flight Center, Greenbelt, MD 20771,
USA
Science Systems and Applications, Inc, Lanham, MD 20709,
USA
Lorraine A. Remer
JCET, University of Maryland – Baltimore County,
Baltimore, MD 21228, USA
Leigh A. Munchak
NASA Goddard Space Flight Center, Greenbelt, MD 20771,
USA
Science Systems and Applications, Inc, Lanham, MD 20709,
USA
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142 citations as recorded by crossref.
- Study on Spatial Changes in PM2.5 before and after the COVID-19 Pandemic in Southwest China X. Li et al. 10.3390/atmos14040671
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Latest update: 21 Nov 2024
Short summary
A new surface scheme inside MODIS dark target aerosol retrieval algorithm has been developed to improve the accuracy of aerosol optical depth data over cities. The new scheme integrates the MODIS land surface reflectance and land cover type information into the surface parameterization for urban areas, much of the issues associated with the standard algorithm have been mitigated for our test region. The improved aerosols data sets will be useful for air quality applications over cities.
A new surface scheme inside MODIS dark target aerosol retrieval algorithm has been developed to...
