Assessing the impact of clouds on ground-based UV–visible total column ozone measurements in the high Arctic
International audience Zenith-Sky scattered light Differential Optical Absorption Spectroscopy (ZS-DOAS) has been used widely to retrieve total column ozone (TCO). ZS-DOAS measurements have the advantage of being less sensitive to clouds than direct-sun measurements. However, the presence of clouds...
Published in: | Atmospheric Measurement Techniques |
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Main Authors: | , , , , , , , , |
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Language: | English |
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HAL CCSD
2019
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Online Access: | https://insu.hal.science/insu-02104733 https://insu.hal.science/insu-02104733/document https://insu.hal.science/insu-02104733/file/amt-12-2463-2019.pdf https://doi.org/10.5194/amt-12-2463-2019 |
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English |
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[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] |
spellingShingle |
[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] Zhao, Xiaoyi Bognar, Kristof Fioletov, Vitali Pazmino, Andrea Goutail, Florence Millán, Luis Manney, Gloria Adams, Cristen Strong, Kimberly Assessing the impact of clouds on ground-based UV–visible total column ozone measurements in the high Arctic |
topic_facet |
[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] |
description |
International audience Zenith-Sky scattered light Differential Optical Absorption Spectroscopy (ZS-DOAS) has been used widely to retrieve total column ozone (TCO). ZS-DOAS measurements have the advantage of being less sensitive to clouds than direct-sun measurements. However, the presence of clouds still affects the quality of ZS-DOAS TCO. Clouds are thought to be the largest contributor to random uncertainty in ZS-DOAS TCO, but their impact on data quality still needs to be quantified. This study has two goals: (1) to investigate whether clouds have a significant impact on ZS-DOAS TCO, and (2) to develop a cloud-screening algorithm to improve ZS-DOAS measurements in the Arctic under cloudy conditions. To quantify the impact of weather, 8 years of measured and modelled TCO have been used, along with information about weather conditions at Eureka, Canada (80.05 • N, 86.41 • W). Relative to direct-sun TCO measurements by Brewer spectrophotometers and modelled TCO, a positive bias is found in ZS-DOAS TCO measured in cloudy weather, and a negative bias is found for clear conditions, with differences of up to 5 % between clear and cloudy conditions. A cloud-screening algorithm is developed for high latitudes using the colour index calculated from ZS-DOAS spectra. The quality of ZS-DOAS TCO datasets is assessed using a statistical uncertainty estimation model, which suggests a 3 %-4 % random uncertainty. The new cloud-screening algorithm reduces the random uncertainty by 0.6 %. If all measurements collected during cloudy conditions, as identified using the weather station observations, are removed, the random uncertainty is reduced by 1.3 %. This work demonstrates that clouds are a significant contributor to uncertainty in ZS-DOAS TCO and proposes a method that can be used to screen clouds in high-latitude spectra. |
author2 |
Department of Physics Toronto University of Toronto Environment and Climate Change Canada (ECCC) STRATO - LATMOS Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) Jet Propulsion Laboratory (JPL) NASA-California Institute of Technology (CALTECH) NorthWest Research Associates (NWRA) Department of Physics Socorro New Mexico Institute of Mining and Technology New Mexico Tech (NMT) New Mexico Consortium (NMC)-New Mexico Consortium (NMC) Environmental Monitoring and Science Division of Alberta (EMSD) Alberta Government |
format |
Article in Journal/Newspaper |
author |
Zhao, Xiaoyi Bognar, Kristof Fioletov, Vitali Pazmino, Andrea Goutail, Florence Millán, Luis Manney, Gloria Adams, Cristen Strong, Kimberly |
author_facet |
Zhao, Xiaoyi Bognar, Kristof Fioletov, Vitali Pazmino, Andrea Goutail, Florence Millán, Luis Manney, Gloria Adams, Cristen Strong, Kimberly |
author_sort |
Zhao, Xiaoyi |
title |
Assessing the impact of clouds on ground-based UV–visible total column ozone measurements in the high Arctic |
title_short |
Assessing the impact of clouds on ground-based UV–visible total column ozone measurements in the high Arctic |
title_full |
Assessing the impact of clouds on ground-based UV–visible total column ozone measurements in the high Arctic |
title_fullStr |
Assessing the impact of clouds on ground-based UV–visible total column ozone measurements in the high Arctic |
title_full_unstemmed |
Assessing the impact of clouds on ground-based UV–visible total column ozone measurements in the high Arctic |
title_sort |
assessing the impact of clouds on ground-based uv–visible total column ozone measurements in the high arctic |
publisher |
HAL CCSD |
publishDate |
2019 |
url |
https://insu.hal.science/insu-02104733 https://insu.hal.science/insu-02104733/document https://insu.hal.science/insu-02104733/file/amt-12-2463-2019.pdf https://doi.org/10.5194/amt-12-2463-2019 |
long_lat |
ENVELOPE(-85.940,-85.940,79.990,79.990) |
geographic |
Arctic Canada Eureka |
geographic_facet |
Arctic Canada Eureka |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
ISSN: 1867-1381 EISSN: 1867-8548 Atmospheric Measurement Techniques https://insu.hal.science/insu-02104733 Atmospheric Measurement Techniques, 2019, 12 (4), pp.2463-2483. ⟨10.5194/amt-12-2463-2019⟩ |
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info:eu-repo/semantics/altIdentifier/doi/10.5194/amt-12-2463-2019 insu-02104733 https://insu.hal.science/insu-02104733 https://insu.hal.science/insu-02104733/document https://insu.hal.science/insu-02104733/file/amt-12-2463-2019.pdf doi:10.5194/amt-12-2463-2019 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/amt-12-2463-2019 |
container_title |
Atmospheric Measurement Techniques |
container_volume |
12 |
container_issue |
4 |
container_start_page |
2463 |
op_container_end_page |
2483 |
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1809894387640958976 |
spelling |
ftsorbonneuniv:oai:HAL:insu-02104733v1 2024-09-09T19:24:30+00:00 Assessing the impact of clouds on ground-based UV–visible total column ozone measurements in the high Arctic Zhao, Xiaoyi Bognar, Kristof Fioletov, Vitali Pazmino, Andrea Goutail, Florence Millán, Luis Manney, Gloria Adams, Cristen Strong, Kimberly Department of Physics Toronto University of Toronto Environment and Climate Change Canada (ECCC) STRATO - LATMOS Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) Jet Propulsion Laboratory (JPL) NASA-California Institute of Technology (CALTECH) NorthWest Research Associates (NWRA) Department of Physics Socorro New Mexico Institute of Mining and Technology New Mexico Tech (NMT) New Mexico Consortium (NMC)-New Mexico Consortium (NMC) Environmental Monitoring and Science Division of Alberta (EMSD) Alberta Government 2019 https://insu.hal.science/insu-02104733 https://insu.hal.science/insu-02104733/document https://insu.hal.science/insu-02104733/file/amt-12-2463-2019.pdf https://doi.org/10.5194/amt-12-2463-2019 en eng HAL CCSD European Geosciences Union info:eu-repo/semantics/altIdentifier/doi/10.5194/amt-12-2463-2019 insu-02104733 https://insu.hal.science/insu-02104733 https://insu.hal.science/insu-02104733/document https://insu.hal.science/insu-02104733/file/amt-12-2463-2019.pdf doi:10.5194/amt-12-2463-2019 info:eu-repo/semantics/OpenAccess ISSN: 1867-1381 EISSN: 1867-8548 Atmospheric Measurement Techniques https://insu.hal.science/insu-02104733 Atmospheric Measurement Techniques, 2019, 12 (4), pp.2463-2483. ⟨10.5194/amt-12-2463-2019⟩ [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] info:eu-repo/semantics/article Journal articles 2019 ftsorbonneuniv https://doi.org/10.5194/amt-12-2463-2019 2024-08-01T23:46:53Z International audience Zenith-Sky scattered light Differential Optical Absorption Spectroscopy (ZS-DOAS) has been used widely to retrieve total column ozone (TCO). ZS-DOAS measurements have the advantage of being less sensitive to clouds than direct-sun measurements. However, the presence of clouds still affects the quality of ZS-DOAS TCO. Clouds are thought to be the largest contributor to random uncertainty in ZS-DOAS TCO, but their impact on data quality still needs to be quantified. This study has two goals: (1) to investigate whether clouds have a significant impact on ZS-DOAS TCO, and (2) to develop a cloud-screening algorithm to improve ZS-DOAS measurements in the Arctic under cloudy conditions. To quantify the impact of weather, 8 years of measured and modelled TCO have been used, along with information about weather conditions at Eureka, Canada (80.05 • N, 86.41 • W). Relative to direct-sun TCO measurements by Brewer spectrophotometers and modelled TCO, a positive bias is found in ZS-DOAS TCO measured in cloudy weather, and a negative bias is found for clear conditions, with differences of up to 5 % between clear and cloudy conditions. A cloud-screening algorithm is developed for high latitudes using the colour index calculated from ZS-DOAS spectra. The quality of ZS-DOAS TCO datasets is assessed using a statistical uncertainty estimation model, which suggests a 3 %-4 % random uncertainty. The new cloud-screening algorithm reduces the random uncertainty by 0.6 %. If all measurements collected during cloudy conditions, as identified using the weather station observations, are removed, the random uncertainty is reduced by 1.3 %. This work demonstrates that clouds are a significant contributor to uncertainty in ZS-DOAS TCO and proposes a method that can be used to screen clouds in high-latitude spectra. Article in Journal/Newspaper Arctic HAL Sorbonne Université Arctic Canada Eureka ENVELOPE(-85.940,-85.940,79.990,79.990) Atmospheric Measurement Techniques 12 4 2463 2483 |