Estimation of anthropogenic and volcanic SO2 emissions from satellite data in the presence of snow/ice on the ground

Early versions of satellite nadir-viewing UV SO2 data products did not explicitly account for the effects of snow/ice on retrievals. Snow-covered terrain, with its high reflectance in the UV, typically enhances satellite sensitivity to boundary layer pollution. However, a significant fraction of hig...

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Published in:Atmospheric Measurement Techniques
Main Authors: Fioletov, Vitali E., McLinden, Chris A., Griffin, Debora, Krotkov, Nickolay A., Li, Can, Joiner, Joanna, Theys, Nicolas, Carn, Simon
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2023
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Online Access:https://doi.org/10.5194/amt-16-5575-2023
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spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00070017 2023-12-24T10:22:52+01:00 Estimation of anthropogenic and volcanic SO2 emissions from satellite data in the presence of snow/ice on the ground Fioletov, Vitali E. McLinden, Chris A. Griffin, Debora Krotkov, Nickolay A. Li, Can Joiner, Joanna Theys, Nicolas Carn, Simon 2023-11 electronic https://doi.org/10.5194/amt-16-5575-2023 https://noa.gwlb.de/receive/cop_mods_00070017 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00068382/amt-16-5575-2023.pdf https://amt.copernicus.org/articles/16/5575/2023/amt-16-5575-2023.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-16-5575-2023 https://noa.gwlb.de/receive/cop_mods_00070017 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00068382/amt-16-5575-2023.pdf https://amt.copernicus.org/articles/16/5575/2023/amt-16-5575-2023.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2023 ftnonlinearchiv https://doi.org/10.5194/amt-16-5575-2023 2023-11-27T00:22:45Z Early versions of satellite nadir-viewing UV SO2 data products did not explicitly account for the effects of snow/ice on retrievals. Snow-covered terrain, with its high reflectance in the UV, typically enhances satellite sensitivity to boundary layer pollution. However, a significant fraction of high-quality cloud-free measurements over snow is currently excluded from analyses. This leads to increased uncertainties of satellite emission estimates and potential seasonal biases due to the lack of data in winter months for some high-latitudinal sources. In this study, we investigated how Ozone Monitoring Instrument (OMI) and TROPOspheric Monitoring Instrument (TROPOMI) satellite SO2 measurements over snow-covered surfaces can be used to improve the annual emissions reported in our SO2 emissions catalogue (version 2; Fioletov et al., 2023). Only 100 out of 759 sources listed in the catalogue have 10 % or more of the observations over snow. However, for 40 high-latitude sources, more than 30 % of measurements suitable for emission calculations were made over snow-covered surfaces. For example, in the case of Norilsk, the world's largest SO2 point-source, annual emission estimates in the SO2 catalogue were based only on 3–4 summer months, while the addition of data for snow conditions extends that period to 7 months. Emissions in the SO2 catalogue were based on satellite measurements of SO2 slant column densities (SCDs) that were converted to vertical column densities (VCDs) using site-specific clear-sky air mass factors (AMFs), calculated for snow-free conditions. The same approach was applied to measurements with snow on the ground whereby a new set of constant, site-specific, clear sky with snow AMFs was created, and these were applied to the measured SCDs. Annual emissions were then estimated for each source considering (i) only clear-sky and snow-free days, (ii) only clear-sky with snow days, and (iii) a merged dataset (snow and snow-free conditions). For individual sources, the difference between emissions ... Article in Journal/Newspaper norilsk Niedersächsisches Online-Archiv NOA Norilsk ENVELOPE(88.203,88.203,69.354,69.354) Atmospheric Measurement Techniques 16 22 5575 5592
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Fioletov, Vitali E.
McLinden, Chris A.
Griffin, Debora
Krotkov, Nickolay A.
Li, Can
Joiner, Joanna
Theys, Nicolas
Carn, Simon
Estimation of anthropogenic and volcanic SO2 emissions from satellite data in the presence of snow/ice on the ground
topic_facet article
Verlagsveröffentlichung
description Early versions of satellite nadir-viewing UV SO2 data products did not explicitly account for the effects of snow/ice on retrievals. Snow-covered terrain, with its high reflectance in the UV, typically enhances satellite sensitivity to boundary layer pollution. However, a significant fraction of high-quality cloud-free measurements over snow is currently excluded from analyses. This leads to increased uncertainties of satellite emission estimates and potential seasonal biases due to the lack of data in winter months for some high-latitudinal sources. In this study, we investigated how Ozone Monitoring Instrument (OMI) and TROPOspheric Monitoring Instrument (TROPOMI) satellite SO2 measurements over snow-covered surfaces can be used to improve the annual emissions reported in our SO2 emissions catalogue (version 2; Fioletov et al., 2023). Only 100 out of 759 sources listed in the catalogue have 10 % or more of the observations over snow. However, for 40 high-latitude sources, more than 30 % of measurements suitable for emission calculations were made over snow-covered surfaces. For example, in the case of Norilsk, the world's largest SO2 point-source, annual emission estimates in the SO2 catalogue were based only on 3–4 summer months, while the addition of data for snow conditions extends that period to 7 months. Emissions in the SO2 catalogue were based on satellite measurements of SO2 slant column densities (SCDs) that were converted to vertical column densities (VCDs) using site-specific clear-sky air mass factors (AMFs), calculated for snow-free conditions. The same approach was applied to measurements with snow on the ground whereby a new set of constant, site-specific, clear sky with snow AMFs was created, and these were applied to the measured SCDs. Annual emissions were then estimated for each source considering (i) only clear-sky and snow-free days, (ii) only clear-sky with snow days, and (iii) a merged dataset (snow and snow-free conditions). For individual sources, the difference between emissions ...
format Article in Journal/Newspaper
author Fioletov, Vitali E.
McLinden, Chris A.
Griffin, Debora
Krotkov, Nickolay A.
Li, Can
Joiner, Joanna
Theys, Nicolas
Carn, Simon
author_facet Fioletov, Vitali E.
McLinden, Chris A.
Griffin, Debora
Krotkov, Nickolay A.
Li, Can
Joiner, Joanna
Theys, Nicolas
Carn, Simon
author_sort Fioletov, Vitali E.
title Estimation of anthropogenic and volcanic SO2 emissions from satellite data in the presence of snow/ice on the ground
title_short Estimation of anthropogenic and volcanic SO2 emissions from satellite data in the presence of snow/ice on the ground
title_full Estimation of anthropogenic and volcanic SO2 emissions from satellite data in the presence of snow/ice on the ground
title_fullStr Estimation of anthropogenic and volcanic SO2 emissions from satellite data in the presence of snow/ice on the ground
title_full_unstemmed Estimation of anthropogenic and volcanic SO2 emissions from satellite data in the presence of snow/ice on the ground
title_sort estimation of anthropogenic and volcanic so2 emissions from satellite data in the presence of snow/ice on the ground
publisher Copernicus Publications
publishDate 2023
url https://doi.org/10.5194/amt-16-5575-2023
https://noa.gwlb.de/receive/cop_mods_00070017
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00068382/amt-16-5575-2023.pdf
https://amt.copernicus.org/articles/16/5575/2023/amt-16-5575-2023.pdf
long_lat ENVELOPE(88.203,88.203,69.354,69.354)
geographic Norilsk
geographic_facet Norilsk
genre norilsk
genre_facet norilsk
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-16-5575-2023
https://noa.gwlb.de/receive/cop_mods_00070017
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00068382/amt-16-5575-2023.pdf
https://amt.copernicus.org/articles/16/5575/2023/amt-16-5575-2023.pdf
op_rights https://creativecommons.org/licenses/by/4.0/
uneingeschränkt
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op_doi https://doi.org/10.5194/amt-16-5575-2023
container_title Atmospheric Measurement Techniques
container_volume 16
container_issue 22
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