Articles | Volume 15, issue 1
https://doi.org/10.5194/gmd-15-1-2022
https://doi.org/10.5194/gmd-15-1-2022
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

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Cited articles

Barnes, W. L., Pagano, T. S., and Salomonson, V. V.: Prelaunch characteristics of the Moderate Resolution Imaging Spectroradiometer (MODIS) on EOS-AM1, IEEE T. Geosci. Remote, 36, 1088–1100, 1998. 
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da Silva, A. M., Putman, W., and Nattala, J.: File Specification for the 7 km GEOS-5 Nature Run, Ganymed Release (Non-hydrostatic 7 km Global Mesoscale Simulation), GMAO Office Note no. 6 (Version 1.0), 176 pp., available at: http://gmao.gsfc.nasa.gov/pubs/office_notes (last access: 25 February 2020), 2014. 
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.