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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Main Authors: Frossard, Pascal, Rieder, Harald E., Ribatet, Mathieu, Staehelin, Johannes, Maeder, Joerg A., Di Rocco, Stefania, Davison, Anthony C., Peter, Thomas
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus 2013
Subjects:
Online Access:https://hdl.handle.net/20.500.11850/63957
https://doi.org/10.3929/ethz-b-000063957
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spelling ftethz:oai:www.research-collection.ethz.ch:20.500.11850/63957 2023-05-15T13:53:55+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, Pascal Rieder, Harald E. Ribatet, Mathieu Staehelin, Johannes Maeder, Joerg A. Di Rocco, Stefania Davison, Anthony C. Peter, Thomas 2013 application/application/pdf https://hdl.handle.net/20.500.11850/63957 https://doi.org/10.3929/ethz-b-000063957 en eng Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/acp-13-147-2013 info:eu-repo/semantics/altIdentifier/wos/000313513700010 http://hdl.handle.net/20.500.11850/63957 doi:10.3929/ethz-b-000063957 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/3.0/ Creative Commons Attribution 3.0 Unported CC-BY Atmospheric Chemistry and Physics, 13 (1) info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2013 ftethz https://doi.org/20.500.11850/63957 https://doi.org/10.3929/ethz-b-000063957 https://doi.org/10.5194/acp-13-147-2013 2023-02-13T00:45:40Z 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 ETH Zürich Research Collection Antarctic Antarctic Peninsula Greenland Norwegian Sea The Antarctic
institution Open Polar
collection ETH Zürich Research Collection
op_collection_id ftethz
language English
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 Frossard, Pascal
Rieder, Harald E.
Ribatet, Mathieu
Staehelin, Johannes
Maeder, Joerg A.
Di Rocco, Stefania
Davison, Anthony C.
Peter, Thomas
spellingShingle Frossard, Pascal
Rieder, Harald E.
Ribatet, Mathieu
Staehelin, Johannes
Maeder, Joerg A.
Di Rocco, Stefania
Davison, Anthony C.
Peter, Thomas
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, Pascal
Rieder, Harald E.
Ribatet, Mathieu
Staehelin, Johannes
Maeder, Joerg A.
Di Rocco, Stefania
Davison, Anthony C.
Peter, Thomas
author_sort Frossard, Pascal
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
publishDate 2013
url https://hdl.handle.net/20.500.11850/63957
https://doi.org/10.3929/ethz-b-000063957
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, 13 (1)
op_relation info:eu-repo/semantics/altIdentifier/doi/10.5194/acp-13-147-2013
info:eu-repo/semantics/altIdentifier/wos/000313513700010
http://hdl.handle.net/20.500.11850/63957
doi:10.3929/ethz-b-000063957
op_rights info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/3.0/
Creative Commons Attribution 3.0 Unported
op_rightsnorm CC-BY
op_doi https://doi.org/20.500.11850/63957
https://doi.org/10.3929/ethz-b-000063957
https://doi.org/10.5194/acp-13-147-2013
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