Screening for snow/snowmelt in SNPP VIIRS aerosol optical depth algorithm
The Visible Infrared Imaging Radiometer Suite (VIIRS) on board the Suomi National Polar-orbiting Partnership (S-NPP) spacecraft provides validated daily global aerosol optical depth (AOD) retrievals; however, a close examination of the VIIRS aerosol product identified residual snow and snowmelt cont...
Published in: | Atmospheric Measurement Techniques |
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Copernicus GmbH
2018
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Online Access: | http://hdl.handle.net/10713/9209 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055852872&doi=10.5194%2famt-11-5813-2018&partnerID=40&md5=ebb346391cb9be96e4642ee094aa46c4 https://doi.org/10.5194/amt-11-5813-2018 |
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ftumarylandhshsl:oai:archive.hshsl.umaryland.edu:10713/9209 2023-05-15T13:06:44+02:00 Screening for snow/snowmelt in SNPP VIIRS aerosol optical depth algorithm Huang, J. Laszlo, I. Remer, L.A. 2018 http://hdl.handle.net/10713/9209 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055852872&doi=10.5194%2famt-11-5813-2018&partnerID=40&md5=ebb346391cb9be96e4642ee094aa46c4 https://doi.org/10.5194/amt-11-5813-2018 en_US eng Copernicus GmbH Atmospheric Measurement Techniques https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055852872&doi=10.5194%2famt-11-5813-2018&partnerID=40&md5=ebb346391cb9be96e4642ee094aa46c4 http://hdl.handle.net/10713/9209 doi:10.5194/amt-11-5813-2018 Article 2018 ftumarylandhshsl https://doi.org/10.5194/amt-11-5813-2018 2022-06-19T17:01:30Z The Visible Infrared Imaging Radiometer Suite (VIIRS) on board the Suomi National Polar-orbiting Partnership (S-NPP) spacecraft provides validated daily global aerosol optical depth (AOD) retrievals; however, a close examination of the VIIRS aerosol product identified residual snow and snowmelt contamination, resulting generally in an overestimation of AOD. The contamination was particularly evident over Northern Hemisphere high-latitude regions during the spring thaw. To improve the product performance, we introduced a new empirical snow and snowmelt screening scheme that combines a normalized difference snow index (NDSI)-and brightness temperature (BT)-based snow test, a snow adjacency test and a spatial homogeneity test (a.k.a. spatial filter). Testing of retrievals for 18 May 2014 indicated that, compared to the previous, visible reflectance anomaly (VRA)-based snow test, the new NDSI-and BT-based snow test screened out an additional 3.44% of VIIRS AOD retrievals, most of which were over high latitudes experiencing snowmelt. The new snow adjacency test and the homogeneity test degraded another 5.57% and 0.26%, respectively, otherwise "good"-quality AOD retrievals. For the VIIRS-AERONET (Aerosol Robotic Network) matchups over Northern Hemisphere high-latitude regions during 3 years of spring (2013-2015), the new scheme also effectively screened out a significant number of the matchups that had anomalously high positive biases attributable to snow and snowmelt contamination. The new snow and snowmelt screening scheme was transferred to the Interface Data Processing Segment (IDPS) VIIRS aerosol algorithm on 22 June 2015. Subsequently no significant snow and snowmelt contamination was found during spring 2016. The scheme is also implemented in the new Enterprise VIIRS aerosol algorithm in the National Oceanic and Atmospheric Administration (NOAA) Enterprise Processing System (EPS) that became operational in 2017. Copyright 2018 Author(s). This work is distributed under the Creative Commons Attribution 4.0 ... Article in Journal/Newspaper Aerosol Robotic Network UMB Digital Archive (University of Maryland, Baltimore) Atmospheric Measurement Techniques 11 10 5813 5825 |
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Open Polar |
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UMB Digital Archive (University of Maryland, Baltimore) |
op_collection_id |
ftumarylandhshsl |
language |
English |
description |
The Visible Infrared Imaging Radiometer Suite (VIIRS) on board the Suomi National Polar-orbiting Partnership (S-NPP) spacecraft provides validated daily global aerosol optical depth (AOD) retrievals; however, a close examination of the VIIRS aerosol product identified residual snow and snowmelt contamination, resulting generally in an overestimation of AOD. The contamination was particularly evident over Northern Hemisphere high-latitude regions during the spring thaw. To improve the product performance, we introduced a new empirical snow and snowmelt screening scheme that combines a normalized difference snow index (NDSI)-and brightness temperature (BT)-based snow test, a snow adjacency test and a spatial homogeneity test (a.k.a. spatial filter). Testing of retrievals for 18 May 2014 indicated that, compared to the previous, visible reflectance anomaly (VRA)-based snow test, the new NDSI-and BT-based snow test screened out an additional 3.44% of VIIRS AOD retrievals, most of which were over high latitudes experiencing snowmelt. The new snow adjacency test and the homogeneity test degraded another 5.57% and 0.26%, respectively, otherwise "good"-quality AOD retrievals. For the VIIRS-AERONET (Aerosol Robotic Network) matchups over Northern Hemisphere high-latitude regions during 3 years of spring (2013-2015), the new scheme also effectively screened out a significant number of the matchups that had anomalously high positive biases attributable to snow and snowmelt contamination. The new snow and snowmelt screening scheme was transferred to the Interface Data Processing Segment (IDPS) VIIRS aerosol algorithm on 22 June 2015. Subsequently no significant snow and snowmelt contamination was found during spring 2016. The scheme is also implemented in the new Enterprise VIIRS aerosol algorithm in the National Oceanic and Atmospheric Administration (NOAA) Enterprise Processing System (EPS) that became operational in 2017. Copyright 2018 Author(s). This work is distributed under the Creative Commons Attribution 4.0 ... |
format |
Article in Journal/Newspaper |
author |
Huang, J. Laszlo, I. Remer, L.A. |
spellingShingle |
Huang, J. Laszlo, I. Remer, L.A. Screening for snow/snowmelt in SNPP VIIRS aerosol optical depth algorithm |
author_facet |
Huang, J. Laszlo, I. Remer, L.A. |
author_sort |
Huang, J. |
title |
Screening for snow/snowmelt in SNPP VIIRS aerosol optical depth algorithm |
title_short |
Screening for snow/snowmelt in SNPP VIIRS aerosol optical depth algorithm |
title_full |
Screening for snow/snowmelt in SNPP VIIRS aerosol optical depth algorithm |
title_fullStr |
Screening for snow/snowmelt in SNPP VIIRS aerosol optical depth algorithm |
title_full_unstemmed |
Screening for snow/snowmelt in SNPP VIIRS aerosol optical depth algorithm |
title_sort |
screening for snow/snowmelt in snpp viirs aerosol optical depth algorithm |
publisher |
Copernicus GmbH |
publishDate |
2018 |
url |
http://hdl.handle.net/10713/9209 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055852872&doi=10.5194%2famt-11-5813-2018&partnerID=40&md5=ebb346391cb9be96e4642ee094aa46c4 https://doi.org/10.5194/amt-11-5813-2018 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_relation |
Atmospheric Measurement Techniques https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055852872&doi=10.5194%2famt-11-5813-2018&partnerID=40&md5=ebb346391cb9be96e4642ee094aa46c4 http://hdl.handle.net/10713/9209 doi:10.5194/amt-11-5813-2018 |
op_doi |
https://doi.org/10.5194/amt-11-5813-2018 |
container_title |
Atmospheric Measurement Techniques |
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11 |
container_issue |
10 |
container_start_page |
5813 |
op_container_end_page |
5825 |
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1766018531469557760 |