Global ozone trends in potential vorticity coordinates using TOMS and GOME intercompared against the Dobson network: 1978–1998

Bodeker, G. E.; Scott, Jennifer; Kreher, K.; McKenzie, R. L.

doi:10.1029/2001jd900220

Cited by 111 publications

(127 citation statements)

References 38 publications

Supporting

Mentioning

115

Contrasting

Order By: Relevance

“…Missing satellite data are complemented by spatial linear interpolation [20,21]. (For this reason, in this work we use the term "empirical data" instead of "measurements".)…”

Section: Methodsmentioning

confidence: 99%

Comparative Spectral Analysis and Correlation Properties of Observed and Simulated Total Column Ozone Records

et al. 2013

View full text Add to dashboard Cite

We present a statistical analysis of total column ozone records obtained from satellite measurements and from two global climate chemistry models on global scale. Firstly, a spectral weight analysis is performed where the relative strength of semiannual, annual and quasi-biennial oscillations are determined with respect to the integrated power spectra. The comparison reveals some anomalies in the model representations at each spectral component. The tails of the spectra demonstrate that both models underestimate high frequency (daily) ozone variability, which might have a complex origin, since several dynamical processes affect short time changes of the ozone level at a given location. Secondly, detrended fluctuation analysis is exploited to analyze two-point correlations of anomaly time series. Both models reproduce the characteristic geographic dependence of correlation strength over the overlapping area with empirical observations (latitude band between 60• S and 60• N). The values of precise correlation exponents are hard to obtain over regions where quasi-biennial oscillations or other strong nonstationarities (ozone hole) are present. In spite of all the numerical difficulties, significant long range correlations are detected for total ozone over all geographic locations.

show abstract

“…Missing satellite data are complemented by spatial linear interpolation [20,21]. (For this reason, in this work we use the term "empirical data" instead of "measurements".)…”

Section: Methodsmentioning

confidence: 99%

Comparative Spectral Analysis and Correlation Properties of Observed and Simulated Total Column Ozone Records

et al. 2013

View full text Add to dashboard Cite

show abstract

“…WMO, 1999;2011). There have been several studies exploring the use of multiple regression models in analysing column ozone time series (Hood and McCormack, 1992;Bodeker et al, 2001;Reinsel et al, 2002;Randel et al 2007). A "standard" MLR model for ozone monthly-mean time series would include explanatory variables such as QBO, solar cycle and halogen loading.…”

Section: Multiple Regression Modelmentioning

confidence: 99%

Evaluation of the inter-annual variability of stratospheric chemical composition in chemistry-climate models using ground-based multi species time series

Poulain

Bekki

Marchand

et al. 2016

Journal of Atmospheric and Solar-Terrestrial Physics

View full text Add to dashboard Cite

ReuseUnless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy solely for the purpose of non-commercial research or private study within the limits of fair dealing. The publisher or other rights-holder may allow further reproduction and re-use of this version -refer to the White Rose Research Online record for this item. Where records identify the publisher as the copyright holder, users can verify any specific terms of use on the publisher's website. TakedownIf you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing eprints@whiterose.ac.uk including the URL of the record and the reason for the withdrawal request. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting galley proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

show abstract

“…For total ozone, Fioletov et al (2002) and Harris et al (2003) have compared various total ozone time series, from ground-based spectrometers, from an assimilated TOMS/GOME/ground-based data-set at NIWA (Bodeker et al, 2001), and from the TOMS/SBUV merged data-set used in this paper. For zonal means over large latitude bands, e.g.…”

Section: Data Qualitymentioning

confidence: 99%

Global distribution of total ozone and lower stratospheric temperature variations

et al. 2003

View full text Add to dashboard Cite

show abstract

Global ozone trends in potential vorticity coordinates using TOMS and GOME intercompared against the Dobson network: 1978–1998

Cited by 111 publications

References 38 publications

Comparative Spectral Analysis and Correlation Properties of Observed and Simulated Total Column Ozone Records

Comparative Spectral Analysis and Correlation Properties of Observed and Simulated Total Column Ozone Records

Evaluation of the inter-annual variability of stratospheric chemical composition in chemistry-climate models using ground-based multi species time series

Global distribution of total ozone and lower stratospheric temperature variations

Contact Info

Product

Resources

About