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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ftdoajarticles:oai:doaj.org/article:d379f8d627ac4d95b4b78b6ebffb232d 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 B. T. Sorenson J. Zhang J. S. Reid P. Xian S. L. Jaker 2023-06-01T00:00:00Z https://doi.org/10.5194/acp-23-7161-2023 https://doaj.org/article/d379f8d627ac4d95b4b78b6ebffb232d EN eng Copernicus Publications https://acp.copernicus.org/articles/23/7161/2023/acp-23-7161-2023.pdf https://doaj.org/toc/1680-7316 https://doaj.org/toc/1680-7324 doi:10.5194/acp-23-7161-2023 1680-7316 1680-7324 https://doaj.org/article/d379f8d627ac4d95b4b78b6ebffb232d Atmospheric Chemistry and Physics, Vol 23, Pp 7161-7175 (2023) Physics QC1-999 Chemistry QD1-999 article 2023 ftdoajarticles https://doi.org/10.5194/acp-23-7161-2023 2023-07-02T00:35:57Z 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. Article in Journal/Newspaper Arctic Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Canada Atmospheric Chemistry and Physics 23 12 7161 7175 |
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English |
topic |
Physics QC1-999 Chemistry QD1-999 |
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Physics QC1-999 Chemistry QD1-999 B. T. Sorenson J. Zhang J. S. Reid P. Xian S. L. Jaker Ozone Monitoring Instrument (OMI) UV aerosol index data analysis over the Arctic region for future data assimilation and climate forcing applications |
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Physics QC1-999 Chemistry QD1-999 |
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 |
Article in Journal/Newspaper |
author |
B. T. Sorenson J. Zhang J. S. Reid P. Xian S. L. Jaker |
author_facet |
B. T. Sorenson J. Zhang J. S. Reid P. Xian S. L. Jaker |
author_sort |
B. T. Sorenson |
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 |
publisher |
Copernicus Publications |
publishDate |
2023 |
url |
https://doi.org/10.5194/acp-23-7161-2023 https://doaj.org/article/d379f8d627ac4d95b4b78b6ebffb232d |
geographic |
Arctic Canada |
geographic_facet |
Arctic Canada |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
Atmospheric Chemistry and Physics, Vol 23, Pp 7161-7175 (2023) |
op_relation |
https://acp.copernicus.org/articles/23/7161/2023/acp-23-7161-2023.pdf https://doaj.org/toc/1680-7316 https://doaj.org/toc/1680-7324 doi:10.5194/acp-23-7161-2023 1680-7316 1680-7324 https://doaj.org/article/d379f8d627ac4d95b4b78b6ebffb232d |
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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1772178017214267392 |