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

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

doi:https://doi.org/10.5194/gmd-15-1-2022

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

Model code and software

Multi-sensor Cloud and Aerosol Retrieval Simulator (MCARS) (3.0.0) Galina Wind, Arlindo M. da Silva, Kerry G. Meyer, Steven Platnick, and Peter M. Norris https://doi.org/10.5281/zenodo.5224964

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.