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: Text
Language:English
Published: 2019
Subjects:
Online Access:https://doi.org/10.5194/amt-11-5813-2018
https://amt.copernicus.org/articles/11/5813/2018/
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spelling ftcopernicus:oai:publications.copernicus.org:amt68179 2023-05-15T13:06:41+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 2019-01-07 application/pdf https://doi.org/10.5194/amt-11-5813-2018 https://amt.copernicus.org/articles/11/5813/2018/ eng eng doi:10.5194/amt-11-5813-2018 https://amt.copernicus.org/articles/11/5813/2018/ eISSN: 1867-8548 Text 2019 ftcopernicus https://doi.org/10.5194/amt-11-5813-2018 2020-07-20T16:23:05Z 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. Text Aerosol Robotic Network Copernicus Publications: E-Journals Atmospheric Measurement Techniques 11 10 5813 5825
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
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.
format Text
author Huang, Jingfeng
Laszlo, Istvan
Remer, Lorraine A.
Liu, Hongqing
Zhang, Hai
Ciren, Pubu
Kondragunta, Shobha
spellingShingle 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
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
publishDate 2019
url https://doi.org/10.5194/amt-11-5813-2018
https://amt.copernicus.org/articles/11/5813/2018/
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source eISSN: 1867-8548
op_relation doi:10.5194/amt-11-5813-2018
https://amt.copernicus.org/articles/11/5813/2018/
op_doi https://doi.org/10.5194/amt-11-5813-2018
container_title Atmospheric Measurement Techniques
container_volume 11
container_issue 10
container_start_page 5813
op_container_end_page 5825
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