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Analysis of the MODIS Above-Cloud Aerosol Retrieval Algorithm Using MCARSThe Multi-sensor Cloud and Aerosol Retrieval Simulator (MCARS) presently produces synthetic radiance data from Goddard Earth Observing System version 5 (GEOS-5) model output as if the Moderate Resolution Imaging Spectroradiometer (MODIS) was viewing a combination of atmospheric column inclusive of clouds, aerosols and a variety of gases and land/ocean surface at a specific location. In this paper we use MCARS to study the MODIS Above-Cloud AEROsol retrieval algorithm (MOD06ACAERO). MOD06ACAERO is presently a regional research algorithm able to retrieve aerosol optical thickness over clouds, in particular absorbing biomass burning aerosols overlying marine boundary layer clouds in the Southeastern Atlantic Ocean. The algorithm’s ability to provide aerosol information in cloudy conditions makes it a valuable source of information for modeling and climate studies n an area where current clear sky-only operational MODIS aerosol retrievals effectively have a data gap between the months of June and October. We use MCARS for a verification and closure study of the MOD06ACAERO algorithm. The purpose of this study is to develop a set of constraints a model developer might use during assimilation of MOD06ACAERO data. Our simulations indicate that the MOD06ACAERO algorithm performs well for marine boundary layer clouds in the SE Atlantic provided some specific screening rules are observed.

For the present study, a combination of five simulated MODIS data granules was used for a dataset of 13.5 million samples with known input conditions. When pixel retrieval uncertainty was less than 30%, optical thickness of the underlying cloud layer was greater than 4 and scattering angle range within the cloud bow was excluded, MOD06ACAERO retrievals agreed with the underlying ground truth (GEOS-5 cloud and aerosol profiles used to generate the synthetic radiances) with a slope of 0.913, offset of 0.06, and RMSE=0.107. When only
near-nadir pixels were considered (view zenith angle within +/-20 degrees) the agreement with source data further improved (0.977, 0.051 and 0.096 respectively). Algorithm closure was examined using a single case out of the five 38 used for verification. For closure, the MOD06ACAERO code was modified to use GEOS-5 temperature and moisture profiles as ancillary. Agreement of MOD06ACAERO retrievals with source data for the closure study had a slope of 0.996 with offset -0.007 and RMSE of 0.097 at pixel uncertainty level of less than 40%, illustrating the benefits of high-quality ancillary atmospheric data for such retrievals.
Document ID
20220007745
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Galina Wind
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Arlindo M Da Silva
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Kerry G Meyer
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Steven Platnick
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Peter M Norris
(Universities Space Research Association Columbia, Maryland, United States)
Date Acquired
May 18, 2022
Publication Date
January 4, 2022
Publication Information
Publication: Geoscientific Model Development
Publisher: European Geosciences Union
Volume: 15
Issue: 1
Issue Publication Date: January 1, 2022
ISSN: 1991-959X
e-ISSN: 1991-9603
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
WBS: 509496.02.08.13.19
CONTRACT_GRANT: NNG17HP01C
CONTRACT_GRANT: 80NSSC22M0001
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
External Peer Committee
Keywords
MODIS
MCARS
above cloud aerosol retrieval algorithm
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