Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 1
Articles | Volume 15, issue 1
https://doi.org/10.5194/gmd-15-1-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-1-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 1
Model experiment description paper
 | 
04 Jan 2022
Model experiment description paper |  | 04 Jan 2022

Analysis of the MODIS above-cloud aerosol retrieval algorithm using MCARS

Galina Wind, Arlindo M. da Silva, Kerry G. Meyer, Steven Platnick, and Peter M. Norris

Viewed

Total article views: 2,625 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,711 784 130 2,625 101 136
  • HTML: 1,711
  • PDF: 784
  • XML: 130
  • Total: 2,625
  • BibTeX: 101
  • EndNote: 136
Views and downloads (calculated since 28 May 2021)
Cumulative views and downloads (calculated since 28 May 2021)

Viewed (geographical distribution)

Total article views: 2,625 (including HTML, PDF, and XML) Thereof 2,497 with geography defined and 128 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 20 Nov 2025
Download
Short summary
This is the third paper in series about the Multi-sensor Cloud and Aerosol Retrieval Simulator (MCARS). In this paper we use MCARS to create a set of constraints that might be used to assimilate a new above-cloud aerosol retrieval product developed for the MODIS instrument into a general circulation model. We executed the above-cloud aerosol retrieval over a series of synthetic MODIS granules and found the product to be of excellent quality.
Read more
Share