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...

Full description

Bibliographic Details
Published in:Atmospheric Measurement Techniques
Main Authors: Huang, J., Laszlo, I., Remer, L.A.
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus GmbH 2018
Subjects:
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
id ftumarylandhshsl:oai:archive.hshsl.umaryland.edu:10713/9209
record_format openpolar
spelling 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
institution Open Polar
collection 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
container_volume 11
container_issue 10
container_start_page 5813
op_container_end_page 5825
_version_ 1766018531469557760