Interannual variability of planetary waves in the ozone layer at 65° S

Grytsai, Asen; Grytsai, Z.; Evtushevsky, Oleksandr; Milinevsky, Gennadi

doi:10.1080/01431160500076350

Cited by 22 publications

(27 citation statements)

References 14 publications

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“…In spring, the ozone distribution in the Antarctic region is asymmetrical with a maximum in the Australian longitudinal sector and a minimum in the Atlantic longitudes (Grytsai et al, 2005;Agosta and Canziani, 2011). Previous studies have revealed the tendency of the Antarctic polar vortex to exhibit an eastward shift in orientation (Huth and Canziani, 2003), in the ozone minimum location (Grytsai et al, 2005;Malanca et al, 2005;Grytsai et al, 2007a, b;Canziani, 2010, 2011;Grytsai, 2011;Hassler et al, 2011) and in the phase of wave 1 in stratospheric temperature (Lin et al, 2010).…”

Section: Introductionmentioning

confidence: 96%

“…1b), when ozone loss culminated, zonal TOC minimum is about 100 DU lower than in the pre-ozone-hole years (red curves) and is notably displaced to the east. This illustrates a general tendency for the zonal TOC minimum to be located further eastward with decreasing minimum level, as noted previously (Grytsai et al, 2005;Lin et al, 2010;Agosta and Canziani, 2011;Hassler et al, 2011). For the quantitative analysis presented here, the longitudes of the zonal TOC maximum and minimum were determined using a 50 • window in longitude to separate out the large-scale parts of the disturbances.…”

Section: Methodsmentioning

confidence: 99%

“…Previous studies have revealed the tendency of the Antarctic polar vortex to exhibit an eastward shift in orientation (Huth and Canziani, 2003), in the ozone minimum location (Grytsai et al, 2005;Malanca et al, 2005;Grytsai et al, 2007a, b;Canziani, 2010, 2011;Grytsai, 2011;Hassler et al, 2011) and in the phase of wave 1 in stratospheric temperature (Lin et al, 2010). This eastward shift has been described as possibly connected with a change in tropospheric stationary waves (Grytsai et al, 2007a), tropospheric jet structure (Hio and Hirota, 2002;Agosta and Canziani, 2011) and its strengthening (Wang et al, 2013), and stratospheric ozone and volcanic aerosol concentration (Lin et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

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Evolution of the eastward shift in the quasi-stationary minimum of the Antarctic total ozone column

et al. 2017

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Abstract. The quasi-stationary pattern of the Antarctic total ozone has changed during the last 4 decades, showing an eastward shift in the zonal ozone minimum. In this work, the association between the longitudinal shift of the zonal ozone minimum and changes in meteorological fields in austral spring (September-November) for 1979-2014 is analyzed using ERA-Interim and NCEP-NCAR reanalyses. Regressive, correlative and anomaly composite analyses are applied to reanalysis data. Patterns of the Southern Annular Mode and quasi-stationary zonal waves 1 and 3 in the meteorological fields show relationships with interannual variability in the longitude of the zonal ozone minimum. On decadal timescales, consistent longitudinal shifts of the zonal ozone minimum and zonal wave 3 pattern in the middle-troposphere temperature at the southern midlatitudes are shown. Attribution runs of the chemistry-climate version of the Australian Community Climate and Earth System Simulator (ACCESS-CCM) model suggest that long-term shifts of the zonal ozone minimum are separately contributed by changes in ozone-depleting substances and greenhouse gases. As is known, Antarctic ozone depletion in spring is strongly projected on the Southern Annular Mode in summer and impacts summertime surface climate across the Southern Hemisphere. The results of this study suggest that changes in zonal ozone asymmetry accompanying ozone depletion could be associated with regional climate changes in the Southern Hemisphere in spring.

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Section: Introductionmentioning

confidence: 96%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evolution of the eastward shift in the quasi-stationary minimum of the Antarctic total ozone column

et al. 2017

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“…It has become clear that prediction of global climate change, and of change in the atmosphere's ozone distribution, is impossible without consideration of the complexity of all interactive processes including chemistry and dynamics of the atmosphere (Jacovides et al, 1994;Dameris et al, 1998Dameris et al, , 2005Dameris et al, , 2006Sander, 1999;Crutzen et al, 1999;Lawrence et al, 1999;Kirk-Davidoff et al, 1999;Varotsos,2000, 2001a,b;Ebel, 2001;Varotsos et al, 2001;Brandt et al, 2003;Stohl et al, 2004;Grytsai et al, 2005, Schulz et al, 2001). …”

Section: Introductionmentioning

confidence: 99%

Long-memory processes in ozone and temperature variations at the region 60° S–60° N

2006

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Abstract. Global column ozone and tropospheric temperature observations made by ground-based and satellite-borne (1978-2004) instrumentation are analyzed. Ozone and temperature fluctuations in small time-intervals are found to be positively correlated to those in larger timeintervals in a power-law fashion. For temperature, the exponent of this dependence is larger in the mid-latitudes than in the tropics at long time scales, while for ozone, the exponent is larger in tropics than in the mid-latitudes. In general, greater persistence could be a result of either stronger positive feedbacks or larger inertia. Therefore, the increased slope of the power distribution of temperature in mid-latitudes at long time scales compared to the slope in the tropics could be connected to the poleward increase in climate sensitivity predicted by the global climate models. The detrended fluctuation analysis of model and observed time series provides a helpful tool for visualizing errors in the treatment of long-range correlations, whose correct modeling would greatly enhance confidence in long-term climate and atmospheric chemistry modeling.

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“…The necessity to employ a modern method of CO 2 data analysis stems from the fact that most of the atmospheric quantities obey non-linear laws, which usually generate nonstationarities. These non-stationarities often conceal the existing correlations into the examined time series and therefore, instead of the application of the conventional Fourier spectral analysis on the atmospheric time series, new analytical techniques capable to eliminate the non-stationarities in the data should be utilized (Lovejoy, 1982;Schertzer and Lovejoy 1985;Tuck and Hovde, 1999;Hu et al, 2001;Chen et al, 2002;Tuck et al, 2003;Grytsai et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Technical Note: Long-term memory effect in the atmospheric CO<sub>2</sub> concentration at Mauna Loa

2007

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Abstract. The monthly mean values of the atmospheric carbon dioxide concentration derived from in-situ air samples collected at Mauna Loa Observatory, Hawaii, USA during 1958–2004 (the longest continuous record available in the world) are analyzed by employing the detrended fluctuation analysis to detect scaling behavior in this time series. The main result is that the fluctuations of carbon dioxide concentrations exhibit long-range power-law correlations (long memory) with lag times ranging from four months to eleven years, which correspond to 1/f noise. This result indicates that random perturbations in the carbon dioxide concentrations give rise to noise, characterized by a frequency spectrum following a power-law with exponent that approaches to one; the latter shows that the correlation times grow strongly. This feature is pointing out that a correctly rescaled subset of the original time series of the carbon dioxide concentrations resembles the original time series. Finally, the power-law relationship derived from the real measurements of the carbon dioxide concentrations could also serve as a tool to improve the confidence of the atmospheric chemistry-transport and global climate models.

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Interannual variability of planetary waves in the ozone layer at 65° S

Cited by 22 publications

References 14 publications

Evolution of the eastward shift in the quasi-stationary minimum of the Antarctic total ozone column

Evolution of the eastward shift in the quasi-stationary minimum of the Antarctic total ozone column

Long-memory processes in ozone and temperature variations at the region 60° S–60° N

Technical Note: Long-term memory effect in the atmospheric CO<sub>2</sub> concentration at Mauna Loa

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Interannual variability of planetary waves in the ozone layer at 65° S

Cited by 22 publications

References 14 publications

Evolution of the eastward shift in the quasi-stationary minimum of the Antarctic total ozone column

Evolution of the eastward shift in the quasi-stationary minimum of the Antarctic total ozone column

Long-memory processes in ozone and temperature variations at the region 60° S–60° N

Technical Note: Long-term memory effect in the atmospheric CO&lt;sub&gt;2&lt;/sub&gt; concentration at Mauna Loa

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Technical Note: Long-term memory effect in the atmospheric CO<sub>2</sub> concentration at Mauna Loa