Global distribution of total ozone and lower stratospheric temperature variations

Steinbrecht, Wolfgang; Haßler, Birgit; Claude, H.; Winkler, P.; Stolarski, R. S.

doi:10.5194/acp-3-1421-2003

Cited by 88 publications

(98 citation statements)

References 51 publications

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“…Since the QBO is of equatorial origin, its effect on ozone is in different phases at various latitudes (Bojkov et al, 1990). In our study, we use Singapore zonal winds at 10 and 30 hPa (hereafter QBO 10 and QBO 30, respectively), which are out of phase by ∼ π 2 (Steinbrecht et al, 2003). Monthly mean solar flux observations (ftp://ftp.ngdc.noaa.gov/STP/SOLAR_ DATA/SOLAR_RADIO/FLUX/) at a wavelength of 10.7 cm made at Ottawa and Pentiction are used for investigating the impact of 11 yr solar-cycle-related variations of UV irradiance on ozone.…”

Section: Explanatory Variablesmentioning

confidence: 99%

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Ozone trends derived from the total column and vertical profiles at a northern mid-latitude station

et al. 2013

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Abstract. The trends and variability of ozone are assessed over a northern mid-latitude station, Haute-Provence Observatory (OHP: 43.93 • N, 5.71 • E), using total column ozone observations from the Dobson and Système d'Analyse par Observation Zénithale spectrometers, and stratospheric ozone profile measurements from light detection and ranging (lidar), ozonesondes, Stratospheric Aerosol and Gas Experiment (SAGE) II, Halogen Occultation Experiment (HALOE) and Aura Microwave Limb Sounder (MLS). A multivariate regression model with quasi-biennial oscillation (QBO), solar flux, aerosol optical thickness, heat flux, North Atlantic Oscillation (NAO) and a piecewise linear trend (PWLT) or equivalent effective stratospheric chlorine (EESC) functions is applied to the ozone anomalies. The maximum variability of ozone in winter/spring is explained by QBO and heat flux in the ranges 15-45 km and 15-24 km, respectively. The NAO shows maximum influence in the lower stratosphere during winter, while the solar flux influence is largest in the lower and middle stratosphere in summer. The total column ozone trends estimated from the PWLT and EESC functions are of −1.47 ± 0.27 and −1.40 ± 0.25 DU yr −1 , respectively, over the period 1984-1996 and about 0.55 ± 0.30 and 0.42 ± 0.08 DU yr −1 , respectively, over the period 1997-2010. The ozone profiles yield similar and significant EESCbased and PWLT trends for [1984][1985][1986][1987][1988][1989][1990][1991][1992][1993][1994][1995][1996], and are about −0.5 and −0.8 % yr −1 in the lower and upper stratosphere, respectively. For 1997-2010, the EESC-based and PWLT estimates are of the order of 0.3 and 0.1 % yr −1 , respectively, in the 18-28 km range, and at 40-45 km, EESC provides significant ozone trends larger than the insignificant PWLT results. Furthermore, very similar vertical trends for the respective time periods are also deduced from another long-term satellitebased data set (GOZCARDS-Global OZone Chemistry And Related trace gas Data records for the Stratosphere) sampled at northern mid-latitudes. Therefore, this analysis unveils ozone recovery signals from total column ozone and profile measurements at OHP, and hence in the northern midlatitudes.

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Section: Explanatory Variablesmentioning

confidence: 99%

“…2. It is estimated as C X m × 2σ (X) with σ as the standard deviation of the proxy time series (Steinbrecht et al, 2003). The positive values show correlation between the proxy and ozone data, while negative values exhibit anticorrelation.…”

Section: Regression Analysis Of Column Ozonementioning

confidence: 99%

Ozone trends derived from the total column and vertical profiles at a northern mid-latitude station

et al. 2013

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“…Table 1 shows the respective information on each proxy: source, specific characteristics and time window where proxy values are averaged to represent the respective year value. QBO effect on ozone variability is estimated using two proxies at 30hPa (QBO30) and 10hPa (QBO10), which are out of phase by ~π 2 (Steinbrecht et al, 2003). The HF proxy corresponds to the average over the August-September period of the 45-day mean 5…”

Section: Methodsmentioning

confidence: 99%

Symptoms of total ozone recovery inside the Antarctic vortex during Austral spring

Pazmiño¹,

Godin‐Beekmann²,

Hauchecorne³

et al. 2017

Preprint

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Estimated trends in the 15Sept-15Oct period are smaller than in September. They vary from 1.15 to 1.78 DU yr -1 and are hardly significant at 2σ level. 30Ozone recovery is also confirmed by a steady decrease of the relative area of total ozone values lower than 150 DU within the vortex in the 15Sept-15Oct period since 2010. Comparison of the evolution of the ozone hole area in September and October shows a decrease in September, confirming the later formation of the ozone hole during that month.

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“…For some studies (e.g. Steinbrecht et al, 2003;Sioris et al, 2014), two different QBO basis functions are selected at two different pressure levels such that the signals are approximately a quarter of a cycle out of phase and therefore close to orthogonal to each other. This allows for an arbitrary phase shift in the QBO to be fitted.…”

Section: G E Bodeker and S Kremser: Techniques For Analyses Of Trementioning

confidence: 99%

Techniques for analyses of trends in GRUAN data

Bodeker

Kremser

2015

Atmos. Meas. Tech.

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Abstract. The Global Climate Observing System (GCOS)Reference Upper Air Network (GRUAN) provides reference quality RS92 radiosonde measurements of temperature, pressure and humidity. A key attribute of reference quality measurements, and hence GRUAN data, is that each datum has a well characterized and traceable estimate of the measurement uncertainty. The long-term homogeneity of the measurement records, and their well characterized uncertainties, make these data suitable for reliably detecting changes in global and regional climate on decadal time scales. Considerable effort is invested in GRUAN operations to (i) describe and analyse all sources of measurement uncertainty to the extent possible, (ii) quantify and synthesize the contribution of each source of uncertainty to the total measurement uncertainty, and (iii) verify that the evaluated net uncertainty is within the required target uncertainty. However, if the climate science community is not sufficiently well informed on how to capitalize on this added value, the significant investment in estimating meaningful measurement uncertainties is largely wasted. This paper presents and discusses the techniques that will need to be employed to reliably quantify long-term trends in GRUAN data records. A pedagogical approach is taken whereby numerical recipes for key parts of the trend analysis process are explored. The paper discusses the construction of linear least squares regression models for trend analysis, boot-strapping approaches to determine uncertainties in trends, dealing with the combined effects of autocorrelation in the data and measurement uncertainties in calculating the uncertainty on trends, best practice for determining seasonality in trends, how to deal with co-linear basis functions, and interpreting derived trends. Synthetic data sets are used to demonstrate these concepts which are then applied to a first analysis of temperature trends in RS92 radiosonde upper air soundings at the GRUAN site at Lindenberg, Germany (52.21 • N, 14.12 • E).

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Global distribution of total ozone and lower stratospheric temperature variations

Abstract: Abstract. This study gives an overview of interannual variations of total ozone and 50 hPa temperature.

Cited by 88 publications

References 51 publications

Ozone trends derived from the total column and vertical profiles at a northern mid-latitude station

Ozone trends derived from the total column and vertical profiles at a northern mid-latitude station

Symptoms of total ozone recovery inside the Antarctic vortex during Austral spring

Techniques for analyses of trends in GRUAN data

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