Evaluation of the multi-angle implementation of atmospheric correction (MAIAC) aerosol algorithm through intercomparison with VIIRS aerosol products and AERONET

Superczynski, Stephen D.; Kondragunta, Shobha; Lyapustin, Alexei I.

doi:10.1002/2016JD025720

i

Evaluation of the multi-angle implementation of atmospheric correction (MAIAC) aerosol algorithm through intercomparison with VIIRS aerosol products and AERONET

2017
By Superczynski, Stephen D. ; Kondragunta, Shobha ; Lyapustin, Alexei I.

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Journal Title:

Journal of Geophysical Research: Atmospheres
Personal Author:

Superczynski, Stephen D. ; Kondragunta, Shobha ; Lyapustin, Alexei I.
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research)
Description:

The multi-angle implementation of atmospheric correction (MAIAC) algorithm is under evaluation for use in conjunction with the Geostationary Coastal and Air Pollution Events mission. Column aerosol optical thickness (AOT) data from MAIAC are compared against corresponding data from the Visible Infrared Imaging Radiometer Suite (VIIRS) instrument over North America during 2013. Product coverage and retrieval strategy, along with regional variations in AOT through comparison of both matched and unmatched seasonally gridded data, are reviewed. MAIAC shows extended coverage over parts of the continent when compared to VIIRS, owing to its pixel selection process and ability to retrieve aerosol information over brighter surfaces. To estimate data accuracy, both products are compared with Aerosol Robotic Network level 2 measurements to determine the amount of error present and discover if there is any dependency on viewing geometry and/or surface characteristics. Results suggest that MAIAC performs well over this region with a relatively small bias of -0.01; however, there is a tendency for greater negative biases over bright surfaces and at larger scattering angles. Additional analysis over an expanded area and longer time period are likely needed to determine a comprehensive assessment of the products' capability over the Western Hemisphere.
Keywords:

Aerosols Atmospheric Science Mathematical Models Atmospheric Science Mathematical Models
Source:

Journal of Geophysical Research: Atmospheres 122(5), 3005-3022, 2017
DOI:

https://doi.org/10.1002/2016JD025720
Pubmed Central ID:

PMC5963281
Document Type:

Journal Article
Rights Information:

Other
Compliance:

PMC
Main Document Checksum:

urn:sha-512:73051e6d18d691d009e061cde8fda6b11d26d146a3cf73279d9e273eb63fa4945be89a42aaac293b7aa19da5241783ec57651e7737595b05135f4a4cc5b68bb7
Download URL:

https://repository.library.noaa.gov/view/noaa/25340/noaa_25340_DS1.pdf
File Type:

[PDF - 5.40 MB ]

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