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 used...

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Published in:Atmospheric Chemistry and Physics
Main Authors: Frossard, L., Rieder, H. E., Ribatet, M., Staehelin, J., Maeder, J. A., Di Rocco, S., Davison, A. C., Peter, T.
Format: Text
Language:unknown
Published: Gottingen, Copernicus Publications 2013
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Online Access:https://doi.org/10.5194/acp-13-147-2013
https://infoscience.epfl.ch/record/185556/files/Atmos.%20Chem.%20%E2%80%A6%202013%20Frossard.pdf
http://infoscience.epfl.ch/record/185556
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spelling ftinfoscience:oai:infoscience.tind.io:185556 2023-05-15T13:51:37+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 Frossard, L. Rieder, H. E. Ribatet, M. Staehelin, J. Maeder, J. A. Di Rocco, S. Davison, A. C. Peter, T. 2013-03-28T08:33:28Z https://doi.org/10.5194/acp-13-147-2013 https://infoscience.epfl.ch/record/185556/files/Atmos.%20Chem.%20%E2%80%A6%202013%20Frossard.pdf http://infoscience.epfl.ch/record/185556 unknown Gottingen, Copernicus Publications doi:10.5194/acp-13-147-2013 ISI:000313513700010 https://infoscience.epfl.ch/record/185556/files/Atmos.%20Chem.%20%E2%80%A6%202013%20Frossard.pdf http://infoscience.epfl.ch/record/185556 http://infoscience.epfl.ch/record/185556 Text 2013 ftinfoscience https://doi.org/10.5194/acp-13-147-2013 2023-02-13T22:13:38Z 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 Nino/Southern Oscillation (ENSO), and aerosol load after the volcanic eruptions of El Chichon 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 ... Text Antarc* Antarctic Antarctic Peninsula Greenland North Atlantic North Atlantic oscillation Norwegian Sea EPFL Infoscience (Ecole Polytechnique Fédérale Lausanne) Antarctic Antarctic Peninsula Greenland Norwegian Sea The Antarctic Atmospheric Chemistry and Physics 13 1 147 164
institution Open Polar
collection EPFL Infoscience (Ecole Polytechnique Fédérale Lausanne)
op_collection_id ftinfoscience
language unknown
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 Nino/Southern Oscillation (ENSO), and aerosol load after the volcanic eruptions of El Chichon 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 Text
author Frossard, L.
Rieder, H. E.
Ribatet, M.
Staehelin, J.
Maeder, J. A.
Di Rocco, S.
Davison, A. C.
Peter, T.
spellingShingle Frossard, L.
Rieder, H. E.
Ribatet, M.
Staehelin, J.
Maeder, J. A.
Di Rocco, S.
Davison, A. C.
Peter, T.
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
author_facet Frossard, L.
Rieder, H. E.
Ribatet, M.
Staehelin, J.
Maeder, J. A.
Di Rocco, S.
Davison, A. C.
Peter, T.
author_sort Frossard, L.
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 Gottingen, Copernicus Publications
publishDate 2013
url https://doi.org/10.5194/acp-13-147-2013
https://infoscience.epfl.ch/record/185556/files/Atmos.%20Chem.%20%E2%80%A6%202013%20Frossard.pdf
http://infoscience.epfl.ch/record/185556
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 http://infoscience.epfl.ch/record/185556
op_relation doi:10.5194/acp-13-147-2013
ISI:000313513700010
https://infoscience.epfl.ch/record/185556/files/Atmos.%20Chem.%20%E2%80%A6%202013%20Frossard.pdf
http://infoscience.epfl.ch/record/185556
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
op_container_end_page 164
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