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...

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Published in:Atmospheric Measurement Techniques
Main Authors: Huang, Jingfeng, Laszlo, Istvan, Remer, Lorraine A., Liu, Hongqing, Zhang, Hai, Ciren, Pubu, Kondragunta, Shobha
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2018
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Online Access:https://doi.org/10.5194/amt-11-5813-2018
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spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00004320 2023-05-15T13:06:35+02:00 Screening for snow/snowmelt in SNPP VIIRS aerosol optical depth algorithm Huang, Jingfeng Laszlo, Istvan Remer, Lorraine A. Liu, Hongqing Zhang, Hai Ciren, Pubu Kondragunta, Shobha 2018-10 electronic https://doi.org/10.5194/amt-11-5813-2018 https://noa.gwlb.de/receive/cop_mods_00004320 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00004277/amt-11-5813-2018.pdf https://amt.copernicus.org/articles/11/5813/2018/amt-11-5813-2018.pdf eng eng Copernicus Publications Atmospheric Measurement Techniques -- http://www.bibliothek.uni-regensburg.de/ezeit/?2505596 -- http://www.atmospheric-measurement-techniques.net/ -- 1867-8548 https://doi.org/10.5194/amt-11-5813-2018 https://noa.gwlb.de/receive/cop_mods_00004320 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00004277/amt-11-5813-2018.pdf https://amt.copernicus.org/articles/11/5813/2018/amt-11-5813-2018.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2018 ftnonlinearchiv https://doi.org/10.5194/amt-11-5813-2018 2022-02-08T23:00:09Z 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. Article in Journal/Newspaper Aerosol Robotic Network Niedersächsisches Online-Archiv NOA Atmospheric Measurement Techniques 11 10 5813 5825
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Huang, Jingfeng
Laszlo, Istvan
Remer, Lorraine A.
Liu, Hongqing
Zhang, Hai
Ciren, Pubu
Kondragunta, Shobha
Screening for snow/snowmelt in SNPP VIIRS aerosol optical depth algorithm
topic_facet article
Verlagsveröffentlichung
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.
format Article in Journal/Newspaper
author Huang, Jingfeng
Laszlo, Istvan
Remer, Lorraine A.
Liu, Hongqing
Zhang, Hai
Ciren, Pubu
Kondragunta, Shobha
author_facet Huang, Jingfeng
Laszlo, Istvan
Remer, Lorraine A.
Liu, Hongqing
Zhang, Hai
Ciren, Pubu
Kondragunta, Shobha
author_sort Huang, Jingfeng
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 Publications
publishDate 2018
url https://doi.org/10.5194/amt-11-5813-2018
https://noa.gwlb.de/receive/cop_mods_00004320
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00004277/amt-11-5813-2018.pdf
https://amt.copernicus.org/articles/11/5813/2018/amt-11-5813-2018.pdf
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_relation Atmospheric Measurement Techniques -- http://www.bibliothek.uni-regensburg.de/ezeit/?2505596 -- http://www.atmospheric-measurement-techniques.net/ -- 1867-8548
https://doi.org/10.5194/amt-11-5813-2018
https://noa.gwlb.de/receive/cop_mods_00004320
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00004277/amt-11-5813-2018.pdf
https://amt.copernicus.org/articles/11/5813/2018/amt-11-5813-2018.pdf
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container_title Atmospheric Measurement Techniques
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