Stratospheric ozone trends and variability as seen by SCIAMACHY from 2002 to 2012

Gebhardt, Claus; Rozanov, A.; Hommel, R.; Weber, Mark; Bovensmann, H.; Burrows, J. P.; Degenstein, D. A.; Froidevaux, L.; Thompson, A. M.

doi:10.5194/acp-14-831-2014

Cited by 79 publications

(133 citation statements)

References 43 publications

(72 reference statements)

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“…Negative ozone trends in the tropical middle stratosphere have also been found in SCIAMACHY data (Gebhardt et al, 2014). Generally the trends shown in their paper agree with ours, but not in every detail.…”

supporting

confidence: 80%

“…We calculated drifts of the MIPAS ozone time series versus several instruments which include satellite as well as ground based experiments. Most of these analyses suggest that MIPAS ozone data most probably has a small negative drift and thus trends calculated from the MIPAS data might exhibit values which are by Gebhardt et al (2014) for the middle tropics are more negative with only one negative peak. Kyrölä et al (2013) see less negative trends in the tropics around 30 to 35 km than Gebhardt et al (2014).…”

Section: Discussionmentioning

confidence: 99%

“…Most of these analyses suggest that MIPAS ozone data most probably has a small negative drift and thus trends calculated from the MIPAS data might exhibit values which are by Gebhardt et al (2014) for the middle tropics are more negative with only one negative peak. Kyrölä et al (2013) see less negative trends in the tropics around 30 to 35 km than Gebhardt et al (2014). The trends by Kyrölä et al (2013) are of the order of −2 to −3 % decade −1 .…”

Section: Discussionmentioning

confidence: 99%

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Drift-corrected trends and periodic variations in MIPAS IMK/IAA ozone measurements

et al. 2014

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Abstract. Drifts, trends and periodic variations were calculated from monthly zonally averaged ozone profiles. The ozone profiles were derived from level-1b data of the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) by means of the scientific level-2 processor run by the Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research (IMK). All trend and drift analyses were performed using a multilinear parametric trend model which includes a linear term, several harmonics with period lengths from 3 to 24 months and the quasi-biennial oscillation (QBO). Drifts at 2-sigma significance level were mainly negative for ozone relative to Aura MLS and Odin OSIRIS and negative or near zero for most of the comparisons to lidar measurements. Lidar stations used here include those at Hohenpeissenberg

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supporting

confidence: 80%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Drift-corrected trends and periodic variations in MIPAS IMK/IAA ozone measurements

et al. 2014

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“…Nedoluha et al (2015) studied O 3 over the period 1991-2005, when Halogen Occultation Experiment (HALOE) measurements are available, and found a strong decrease in mid-stratospheric O 3 in the tropics over this period. Kyrölä et al (2013) Gebhardt et al (2014), showed a pattern similar to the 1997-2011 pattern reported by Kyrölä et al (2013) (i.e., a strong, statistically significant decrease in tropical O 3 in the 30-35 km region while most of the middle atmosphere shows a slight increase in O 3 ). Eckert et al (2014), using Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) data from 2002 to 2012, also showed a general increase in O 3 in most regions, especially in the Southern Hemisphere mid-latitudes near ∼ 20 hPa, but found statistically significant negative trends in the tropics from ∼ 25 hPa to 5 hPa.…”

Section: Introductionsupporting

confidence: 57%

Unusual stratospheric ozone anomalies observed in 22 years of measurements from Lauder, New Zealand

et al. 2015

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Abstract. The Microwave Ozone Profiling Instrument (MOPI1) has provided ozone (O 3 ) profiles for the Network for the Detection of Atmospheric Composition Change (NDACC) at Lauder, New Zealand (45.0 • S, 169.7 • E), since 1992. We present the entire 22-year data set and compare with satellite O 3 observations. We study in detail two particularly interesting variations in O 3 . The first is a large positive O 3 anomaly that occurs in the mid-stratosphere (∼ 10-30 hPa) in June 2001, which is caused by an anticyclonic circulation that persists for several weeks over Lauder. This O 3 anomaly is associated with the most equatorward June average tracer equivalent latitude (TrEL) over the 36-year period for which the Modern Era RetrospectiveAnalysis for Research and Applications (MERRA) reanalysis is available. A second, longer-lived feature, is a positive O 3 anomaly in the mid-stratosphere (∼ 10 hPa) from mid-2009 until mid-2013. Coincident measurements from the Aura Microwave Limb Sounder (MLS) show that these high O 3 mixing ratios are well correlated with high nitrous oxide (N 2 O) mixing ratios. This correlation suggests that the high O 3 over this 4-year period is driven by unusual dynamics. The beginning of the high O 3 and high N 2 O period at Lauder (and throughout this latitude band) occurs nearly simultaneously with a sharp decrease in O 3 and N 2 O at the equator, and the period ends nearly simultaneously with a sharp increase in O 3 and N 2 O at the equator.

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“…In fact, present observations indicate a tendency for a slow recovery of the stratospheric ozone layer (Jonsson et al, 2009;Garny et al, 2013;Chehade et al, 2014;Kyrölä et al, 2014;Gebhardt et al, 2014). Projections of chemistryclimate models indicate a return of stratospheric ozone concentrations to their 1980s level in the period between 2040 7646 A. Schanz et al: Daily ozone cycle in the stratosphere and 2050 (Eyring et al, 2007).…”

Section: Introductionmentioning

confidence: 95%

Daily ozone cycle in the stratosphere: global, regional and seasonal behaviour modelled with the Whole Atmosphere Community Climate Model

2014

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Abstract. The Whole Atmosphere Community Climate Model (WACCM) is utilised to study the daily ozone cycle and underlying photochemical and dynamical processes. The analysis is focused on the daily ozone cycle in the middle stratosphere at 5 hPa where satellite-based trend estimates of stratospheric ozone are most biased by diurnal sampling effects and drifting satellite orbits. The simulated ozone cycle shows a minimum after sunrise and a maximum in the late afternoon. Further, a seasonal variation of the daily ozone cycle in the stratosphere was found. Depending on season and latitude, the peak-to-valley difference of the daily ozone cycle varies mostly between 3 and 5 % (0.4 ppmv) with respect to the midnight ozone volume mixing ratio. The maximal variation of 15 % (0.8 ppmv) is found at the polar circle in summer. The global pattern of the strength of the daily ozone cycle is mainly governed by the solar zenith angle and the sunshine duration. In addition, we find synoptic-scale variations in the strength of the daily ozone cycle. These variations are often anti-correlated to regional temperature anomalies and are due to the temperature dependence of the rate coefficients k 2 and k 3 of the Chapman cycle reactions. Further, the NO x catalytic cycle counteracts the accumulation of ozone during daytime and leads to an anti-correlation between anomalies in NO x and the strength of the daily ozone cycle. Similarly, ozone recombines with atomic oxygen which leads to an anti-correlation between anomalies in ozone abundance and the strength of the daily ozone cycle. At higher latitudes, an increase of the westerly (easterly) wind cause a decrease (increase) in the sunshine duration of an air parcel leading to a weaker (stronger) daily ozone cycle.

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Stratospheric ozone trends and variability as seen by SCIAMACHY from 2002 to 2012

Cited by 79 publications

References 43 publications

Drift-corrected trends and periodic variations in MIPAS IMK/IAA ozone measurements

Drift-corrected trends and periodic variations in MIPAS IMK/IAA ozone measurements

Unusual stratospheric ozone anomalies observed in 22 years of measurements from Lauder, New Zealand

Daily ozone cycle in the stratosphere: global, regional and seasonal behaviour modelled with the Whole Atmosphere Community Climate Model

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