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231225s2017 xx |||||o 00| ||eng c |
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|a 10.1002/2016JD025720
|2 doi
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| 041 |
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|a eng
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| 100 |
1 |
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|a Superczynski, Stephen D
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Evaluation of the Multi-Angle Implementation of Atmospheric Correction (MAIAC) Aerosol Algorithm through Intercomparison with VIIRS Aerosol Products and AERONET
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|c 2017
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Revised 14.03.2024
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a The Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm is under evaluation for use in conjunction with the Geostationary Coastal and Air Pollution Events (GEO-CAPE) 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 un-matched 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 AERONET 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
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| 650 |
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4 |
|a Journal Article
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| 650 |
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4 |
|a Aerosol Optical Thickness
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| 650 |
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4 |
|a Aerosols and particles
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| 650 |
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4 |
|a Evaluation
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| 650 |
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4 |
|a Intercomparison
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| 650 |
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4 |
|a MAIAC
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| 650 |
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4 |
|a Remote sensing
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| 650 |
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4 |
|a Suomi-NPP VIIRS
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1 |
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|a Kondragunta, Shobha
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Lyapustin, Alexei I
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t Journal of geophysical research. Atmospheres : JGR
|d 1998
|g 122(2017), 5 vom: 16. März, Seite 3005-3022
|w (DE-627)NLM098183494
|x 2169-897X
|7 nnns
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| 773 |
1 |
8 |
|g volume:122
|g year:2017
|g number:5
|g day:16
|g month:03
|g pages:3005-3022
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| 856 |
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|u http://dx.doi.org/10.1002/2016JD025720
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