1994
DOI: 10.1029/93jd03517
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Seasonal trend analysis of published ground‐based and TOMS total ozone data through 1991

Abstract: A seasonal trend analysis of published Dobson (including stations' newly revised and Brewer‐simulated Dobson) total ozone data through 1991 from a network of 56 stations has been performed, using three different data periods. The trend results for the longest data period 1964–1991 indicate substantial negative trends in ozone in the higher northern latitudes during the winter and spring seasons, some evidence of negative trend in the higher southern latitudes (30°S–55°S) during all seasons, and trends close to… Show more

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Cited by 76 publications
(44 citation statements)
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“…where 1 and 2 are the model coefficients and e t represents the independent random errors with zero mean and variances that are allowed to change from month to month (see Reinsel et al, 1994). The basis functions used represent the QBO, specified as monthly mean 50 hPa Singapore zonal wind and a synthetic basis function orthogonal to this to allow for a time lag at different latitudes and altitudes; ENSO (El Niño-Southern Oscillation), using the monthly mean Southern Oscillation index as proxy; the solar cycle, based on monthly mean F10.7 solar flux data from NOAA's National Geophysical Data Center; and a proxy for ozone perturbations forced by aerosols from the Mt Pinatubo volcanic eruption based on a synthetic time series representing the approximate temporal evolution of stratospheric aerosol concentrations following the eruption (see Bodeker et al, 1998 for further details).…”
Section: Discussionmentioning
confidence: 99%
“…where 1 and 2 are the model coefficients and e t represents the independent random errors with zero mean and variances that are allowed to change from month to month (see Reinsel et al, 1994). The basis functions used represent the QBO, specified as monthly mean 50 hPa Singapore zonal wind and a synthetic basis function orthogonal to this to allow for a time lag at different latitudes and altitudes; ENSO (El Niño-Southern Oscillation), using the monthly mean Southern Oscillation index as proxy; the solar cycle, based on monthly mean F10.7 solar flux data from NOAA's National Geophysical Data Center; and a proxy for ozone perturbations forced by aerosols from the Mt Pinatubo volcanic eruption based on a synthetic time series representing the approximate temporal evolution of stratospheric aerosol concentrations following the eruption (see Bodeker et al, 1998 for further details).…”
Section: Discussionmentioning
confidence: 99%
“…Since 1990, several studies have focused on the interannual variability of ozone in connection with the seasonal cycle, quasi-biennial oscillation (QBO), solar flux and aerosol optical thickness (Bojkov et al, 1990;Reinsel et al, 1994;Staehelin et al, 1998). In the recent decade the dynamical variations using heat flux, a proxy describing the planetary wave drive, are discussed to investigate changes in ozone distributions related to the residual circulation (Dhomse et al, 2006;Weber et al, 2011).…”
Section: P J Nair Et Al: Ozone Trends At a Northern Mid-latitude Smentioning
confidence: 99%
“…The long-term evolution of monthly mean ozone is analysed using a regression model, which is similar to those of Reinsel et al (1994), Staehelin et al (1998) and Kuttippurath et al (2013). Our analysis adopts two different methodologies to assess the trend.…”
Section: Multiple Regression Modelmentioning
confidence: 99%
“…where 1 and 2 are the model coefficients and e t represents the independent random errors with zero mean and variances that are allowed to change from month to month (see Reinsel et al, 1994). Piecewise linear regression is chosen for the analysis because a central point of interest is whether there is any evidence for a change in the ozone trend after the peak in EESC (Jones et al, 2009;Steinbrecht et al, 2006;Newchurch et al, 2003).…”
Section: Multiple Linear Regression Modelmentioning
confidence: 99%