Ozone Monitoring Instrument (OMI) UV aerosol index data analysis over the Arctic region for future data assimilation and climate forcing applications

Due to a lack of high-latitude ground-based and satellite-based data from traditional passive- and active-based measurements, the impact of aerosol particles on the Arctic region is one of the least understood factors contributing to recent Arctic sea ice changes. In this study, we investigated the...

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Published in:Atmospheric Chemistry and Physics
Main Authors: Sorenson, Blake T., Zhang, Jianglong, Reid, Jeffrey S., Xian, Peng, Jaker, Shawn L.
Format: Text
Language:English
Published: 2023
Subjects:
Online Access:https://doi.org/10.5194/acp-23-7161-2023
https://acp.copernicus.org/articles/23/7161/2023/
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spelling ftcopernicus:oai:publications.copernicus.org:acp107519 2023-07-23T04:16:54+02:00 Ozone Monitoring Instrument (OMI) UV aerosol index data analysis over the Arctic region for future data assimilation and climate forcing applications Sorenson, Blake T. Zhang, Jianglong Reid, Jeffrey S. Xian, Peng Jaker, Shawn L. 2023-06-28 application/pdf https://doi.org/10.5194/acp-23-7161-2023 https://acp.copernicus.org/articles/23/7161/2023/ eng eng doi:10.5194/acp-23-7161-2023 https://acp.copernicus.org/articles/23/7161/2023/ eISSN: 1680-7324 Text 2023 ftcopernicus https://doi.org/10.5194/acp-23-7161-2023 2023-07-03T16:24:17Z Due to a lack of high-latitude ground-based and satellite-based data from traditional passive- and active-based measurements, the impact of aerosol particles on the Arctic region is one of the least understood factors contributing to recent Arctic sea ice changes. In this study, we investigated the feasibility of using the ultraviolet (UV) aerosol index (AI) parameter from the Ozone Monitoring Instrument (OMI), a semi-quantitative aerosol parameter, for quantifying spatiotemporal changes in UV-absorbing aerosols over the Arctic region. We found that OMI AI data are affected by an additional row anomaly that is unflagged by the OMI quality control flag and are systematically biased as functions of observing conditions, such as azimuth angle, and certain surface types over the Arctic region, resulting in an anomalous “ring” of climatologically high AI centered at about 70 ∘ N, surrounding an area of low AI over the pole. Two methods were developed in this study for quality-assuring the Arctic AI data. Using quality-controlled OMI AI data from 2005 through 2020, we found decreases in UV-absorbing aerosols in the spring months (April and May) over much of the Arctic region and increases in UV-absorbing aerosols in the summer months (June, July, and August) over northern Russia and northern Canada. Additionally, we found significant increases in the frequency and size of UV-absorbing aerosol events across the Arctic and high-Arctic (north of 80 ∘ N) regions for the latter half of the study period (2014–2020), driven primarily by a significant increase in boreal biomass-burning plume coverage. Text Arctic Sea ice Copernicus Publications: E-Journals Arctic Canada Atmospheric Chemistry and Physics 23 12 7161 7175
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collection Copernicus Publications: E-Journals
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language English
description Due to a lack of high-latitude ground-based and satellite-based data from traditional passive- and active-based measurements, the impact of aerosol particles on the Arctic region is one of the least understood factors contributing to recent Arctic sea ice changes. In this study, we investigated the feasibility of using the ultraviolet (UV) aerosol index (AI) parameter from the Ozone Monitoring Instrument (OMI), a semi-quantitative aerosol parameter, for quantifying spatiotemporal changes in UV-absorbing aerosols over the Arctic region. We found that OMI AI data are affected by an additional row anomaly that is unflagged by the OMI quality control flag and are systematically biased as functions of observing conditions, such as azimuth angle, and certain surface types over the Arctic region, resulting in an anomalous “ring” of climatologically high AI centered at about 70 ∘ N, surrounding an area of low AI over the pole. Two methods were developed in this study for quality-assuring the Arctic AI data. Using quality-controlled OMI AI data from 2005 through 2020, we found decreases in UV-absorbing aerosols in the spring months (April and May) over much of the Arctic region and increases in UV-absorbing aerosols in the summer months (June, July, and August) over northern Russia and northern Canada. Additionally, we found significant increases in the frequency and size of UV-absorbing aerosol events across the Arctic and high-Arctic (north of 80 ∘ N) regions for the latter half of the study period (2014–2020), driven primarily by a significant increase in boreal biomass-burning plume coverage.
format Text
author Sorenson, Blake T.
Zhang, Jianglong
Reid, Jeffrey S.
Xian, Peng
Jaker, Shawn L.
spellingShingle Sorenson, Blake T.
Zhang, Jianglong
Reid, Jeffrey S.
Xian, Peng
Jaker, Shawn L.
Ozone Monitoring Instrument (OMI) UV aerosol index data analysis over the Arctic region for future data assimilation and climate forcing applications
author_facet Sorenson, Blake T.
Zhang, Jianglong
Reid, Jeffrey S.
Xian, Peng
Jaker, Shawn L.
author_sort Sorenson, Blake T.
title Ozone Monitoring Instrument (OMI) UV aerosol index data analysis over the Arctic region for future data assimilation and climate forcing applications
title_short Ozone Monitoring Instrument (OMI) UV aerosol index data analysis over the Arctic region for future data assimilation and climate forcing applications
title_full Ozone Monitoring Instrument (OMI) UV aerosol index data analysis over the Arctic region for future data assimilation and climate forcing applications
title_fullStr Ozone Monitoring Instrument (OMI) UV aerosol index data analysis over the Arctic region for future data assimilation and climate forcing applications
title_full_unstemmed Ozone Monitoring Instrument (OMI) UV aerosol index data analysis over the Arctic region for future data assimilation and climate forcing applications
title_sort ozone monitoring instrument (omi) uv aerosol index data analysis over the arctic region for future data assimilation and climate forcing applications
publishDate 2023
url https://doi.org/10.5194/acp-23-7161-2023
https://acp.copernicus.org/articles/23/7161/2023/
geographic Arctic
Canada
geographic_facet Arctic
Canada
genre Arctic
Sea ice
genre_facet Arctic
Sea ice
op_source eISSN: 1680-7324
op_relation doi:10.5194/acp-23-7161-2023
https://acp.copernicus.org/articles/23/7161/2023/
op_doi https://doi.org/10.5194/acp-23-7161-2023
container_title Atmospheric Chemistry and Physics
container_volume 23
container_issue 12
container_start_page 7161
op_container_end_page 7175
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