On the relationship between total ozone and atmospheric dynamics and chemistry at mid-latitudes – Part 1: Statistical models and spatial fingerprints of atmospheric dynamics and chemistry

We use statistical models for mean and extreme values of total column ozone to analyze "fingerprints" of atmospheric dynamics and chemistry on long-term ozone changes at northern and southern mid-latitudes on grid cell basis. At each grid cell, the r -largest order statistics method is use...

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Published in:Atmospheric Chemistry and Physics
Main Authors: L. Frossard, H. E. Rieder, M. Ribatet, J. Staehelin, J. A. Maeder, S. Di Rocco, A. C. Davison, T. Peter
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2013
Subjects:
Online Access:https://doi.org/10.5194/acp-13-147-2013
https://doaj.org/article/dee1ee7183a44c83b824de1ff7125127
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spelling ftdoajarticles:oai:doaj.org/article:dee1ee7183a44c83b824de1ff7125127 2023-05-15T13:59:11+02:00 On the relationship between total ozone and atmospheric dynamics and chemistry at mid-latitudes – Part 1: Statistical models and spatial fingerprints of atmospheric dynamics and chemistry L. Frossard H. E. Rieder M. Ribatet J. Staehelin J. A. Maeder S. Di Rocco A. C. Davison T. Peter 2013-01-01T00:00:00Z https://doi.org/10.5194/acp-13-147-2013 https://doaj.org/article/dee1ee7183a44c83b824de1ff7125127 EN eng Copernicus Publications http://www.atmos-chem-phys.net/13/147/2013/acp-13-147-2013.pdf https://doaj.org/toc/1680-7316 https://doaj.org/toc/1680-7324 doi:10.5194/acp-13-147-2013 1680-7316 1680-7324 https://doaj.org/article/dee1ee7183a44c83b824de1ff7125127 Atmospheric Chemistry and Physics, Vol 13, Iss 1, Pp 147-164 (2013) Physics QC1-999 Chemistry QD1-999 article 2013 ftdoajarticles https://doi.org/10.5194/acp-13-147-2013 2022-12-31T03:01:54Z We use statistical models for mean and extreme values of total column ozone to analyze "fingerprints" of atmospheric dynamics and chemistry on long-term ozone changes at northern and southern mid-latitudes on grid cell basis. At each grid cell, the r -largest order statistics method is used for the analysis of extreme events in low and high total ozone (termed ELOs and EHOs, respectively), and an autoregressive moving average (ARMA) model is used for the corresponding mean value analysis. In order to describe the dynamical and chemical state of the atmosphere, the statistical models include important atmospheric covariates: the solar cycle, the Quasi-Biennial Oscillation (QBO), ozone depleting substances (ODS) in terms of equivalent effective stratospheric chlorine (EESC), the North Atlantic Oscillation (NAO), the Antarctic Oscillation (AAO), the El Niño/Southern Oscillation (ENSO), and aerosol load after the volcanic eruptions of El Chichón and Mt. Pinatubo. The influence of the individual covariates on mean and extreme levels in total column ozone is derived on a grid cell basis. The results show that "fingerprints", i.e., significant influence, of dynamical and chemical features are captured in both the "bulk" and the tails of the statistical distribution of ozone, respectively described by mean values and EHOs/ELOs. While results for the solar cycle, QBO, and EESC are in good agreement with findings of earlier studies, unprecedented spatial fingerprints are retrieved for the dynamical covariates. Column ozone is enhanced over Labrador/Greenland, the North Atlantic sector and over the Norwegian Sea, but is reduced over Europe, Russia and the Eastern United States during the positive NAO phase, and vice-versa during the negative phase. The NAO's southern counterpart, the AAO, strongly influences column ozone at lower southern mid-latitudes, including the southern parts of South America and the Antarctic Peninsula, and the central southern mid-latitudes. Results for both NAO and AAO confirm the importance of ... Article in Journal/Newspaper Antarc* Antarctic Antarctic Peninsula Greenland North Atlantic North Atlantic oscillation Norwegian Sea Directory of Open Access Journals: DOAJ Articles Antarctic Antarctic Peninsula Greenland Norwegian Sea The Antarctic Atmospheric Chemistry and Physics 13 1 147 164
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Physics
QC1-999
Chemistry
QD1-999
spellingShingle Physics
QC1-999
Chemistry
QD1-999
L. Frossard
H. E. Rieder
M. Ribatet
J. Staehelin
J. A. Maeder
S. Di Rocco
A. C. Davison
T. Peter
On the relationship between total ozone and atmospheric dynamics and chemistry at mid-latitudes – Part 1: Statistical models and spatial fingerprints of atmospheric dynamics and chemistry
topic_facet Physics
QC1-999
Chemistry
QD1-999
description We use statistical models for mean and extreme values of total column ozone to analyze "fingerprints" of atmospheric dynamics and chemistry on long-term ozone changes at northern and southern mid-latitudes on grid cell basis. At each grid cell, the r -largest order statistics method is used for the analysis of extreme events in low and high total ozone (termed ELOs and EHOs, respectively), and an autoregressive moving average (ARMA) model is used for the corresponding mean value analysis. In order to describe the dynamical and chemical state of the atmosphere, the statistical models include important atmospheric covariates: the solar cycle, the Quasi-Biennial Oscillation (QBO), ozone depleting substances (ODS) in terms of equivalent effective stratospheric chlorine (EESC), the North Atlantic Oscillation (NAO), the Antarctic Oscillation (AAO), the El Niño/Southern Oscillation (ENSO), and aerosol load after the volcanic eruptions of El Chichón and Mt. Pinatubo. The influence of the individual covariates on mean and extreme levels in total column ozone is derived on a grid cell basis. The results show that "fingerprints", i.e., significant influence, of dynamical and chemical features are captured in both the "bulk" and the tails of the statistical distribution of ozone, respectively described by mean values and EHOs/ELOs. While results for the solar cycle, QBO, and EESC are in good agreement with findings of earlier studies, unprecedented spatial fingerprints are retrieved for the dynamical covariates. Column ozone is enhanced over Labrador/Greenland, the North Atlantic sector and over the Norwegian Sea, but is reduced over Europe, Russia and the Eastern United States during the positive NAO phase, and vice-versa during the negative phase. The NAO's southern counterpart, the AAO, strongly influences column ozone at lower southern mid-latitudes, including the southern parts of South America and the Antarctic Peninsula, and the central southern mid-latitudes. Results for both NAO and AAO confirm the importance of ...
format Article in Journal/Newspaper
author L. Frossard
H. E. Rieder
M. Ribatet
J. Staehelin
J. A. Maeder
S. Di Rocco
A. C. Davison
T. Peter
author_facet L. Frossard
H. E. Rieder
M. Ribatet
J. Staehelin
J. A. Maeder
S. Di Rocco
A. C. Davison
T. Peter
author_sort L. Frossard
title On the relationship between total ozone and atmospheric dynamics and chemistry at mid-latitudes – Part 1: Statistical models and spatial fingerprints of atmospheric dynamics and chemistry
title_short On the relationship between total ozone and atmospheric dynamics and chemistry at mid-latitudes – Part 1: Statistical models and spatial fingerprints of atmospheric dynamics and chemistry
title_full On the relationship between total ozone and atmospheric dynamics and chemistry at mid-latitudes – Part 1: Statistical models and spatial fingerprints of atmospheric dynamics and chemistry
title_fullStr On the relationship between total ozone and atmospheric dynamics and chemistry at mid-latitudes – Part 1: Statistical models and spatial fingerprints of atmospheric dynamics and chemistry
title_full_unstemmed On the relationship between total ozone and atmospheric dynamics and chemistry at mid-latitudes – Part 1: Statistical models and spatial fingerprints of atmospheric dynamics and chemistry
title_sort on the relationship between total ozone and atmospheric dynamics and chemistry at mid-latitudes – part 1: statistical models and spatial fingerprints of atmospheric dynamics and chemistry
publisher Copernicus Publications
publishDate 2013
url https://doi.org/10.5194/acp-13-147-2013
https://doaj.org/article/dee1ee7183a44c83b824de1ff7125127
geographic Antarctic
Antarctic Peninsula
Greenland
Norwegian Sea
The Antarctic
geographic_facet Antarctic
Antarctic Peninsula
Greenland
Norwegian Sea
The Antarctic
genre Antarc*
Antarctic
Antarctic Peninsula
Greenland
North Atlantic
North Atlantic oscillation
Norwegian Sea
genre_facet Antarc*
Antarctic
Antarctic Peninsula
Greenland
North Atlantic
North Atlantic oscillation
Norwegian Sea
op_source Atmospheric Chemistry and Physics, Vol 13, Iss 1, Pp 147-164 (2013)
op_relation http://www.atmos-chem-phys.net/13/147/2013/acp-13-147-2013.pdf
https://doaj.org/toc/1680-7316
https://doaj.org/toc/1680-7324
doi:10.5194/acp-13-147-2013
1680-7316
1680-7324
https://doaj.org/article/dee1ee7183a44c83b824de1ff7125127
op_doi https://doi.org/10.5194/acp-13-147-2013
container_title Atmospheric Chemistry and Physics
container_volume 13
container_issue 1
container_start_page 147
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