Chemical ozone loss in a chemistry‐climate model from 1960 to 1999

Lemmen, Carsten; Dameris, Martin; Müller, Rolf; Riese, Martin

doi:10.1029/2006gl026939

Cited by 17 publications

(21 citation statements)

References 38 publications

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“…For instance, the partial column loss estimated at 350-600 K from Improved Limb Atmospheric Spectrometer (ILAS) measurements by applying the tracer correlation approach was 157±17 DU in early-October 2003 (Tilmes et al, 2006), which is close to our evaluation for the recent winters during the same period. Our conclusion on the interannual variability of ozone loss is also in line with the previous studies (Hofmann et al, 1997;Wu and Dessler, 2001;Bevilacqua et al, 1997;Solomon et al, 2005;Hoppel et al, 2005;Lemmen et al, 2006;Huck et al, 2007). The studies based on ozonesonde observations (for e.g.…”

Section: Antarctic Ozone Losssupporting

confidence: 81%

Estimation of Antarctic ozone loss from ground-based total column measurements

et al. 2010

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Section: Antarctic Ozone Losssupporting

confidence: 81%

Estimation of Antarctic ozone loss from ground-based total column measurements

et al. 2010

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“…This is slightly different from the Arctic, where significant ozone loss occurs mostly in the lower stratosphere over 350-550 K in colder winters and where the depletion above 550 K is limited to ∼ 19 ± 7 DU . The larger Antarctic ozone column loss contribution from higher altitudes (above 550 K) is consistent with the loss estimated above these altitudes, as shown by the ozone profiles in this study for and in Lemmen et al (2006 and Hoppel et al (2005) for a range of Antarctic winters prior to 2004. It is also evident from the maximum ozone loss altitudes, as most Antarctic winters have their peak loss altitudes around 525 K as opposed to 475 K in the Arctic (e.g., Kuttippurath et al, 2012;Tripathi et al, 2007;Grooß et al, 2005a;Rex et al, 2004).…”

Section: Partial Column Ozone Losssupporting

confidence: 73%

“…Previous satellite measurements were relatively limited to a small temporal and spatial area as far as high-latitude observations are concerned (e.g., Tilmes et al, 2006;Hoppel et al, 2005). While the Upper Atmosphere Research Satellite MLS (Waters et al, 1999) had a similar latitudinal coverage, the frequency of its polar measurements was lower than that of Aura MLS (e.g., Livesey et al, 2013;Froidevaux et al, 2008). Therefore, the study with high-resolution simulations (both horizontally and vertically) together with the high-resolution measurements offers some new insights into the polar processing and ozone loss features of the Antarctic stratosphere.…”

mentioning

confidence: 97%

“…The time resolution of the measurements is about 3500 profiles per day. The estimated uncertainty of typical ozone and ClO retrievals is about 5-10 and 10-20 %, respectively (Livesey et al, 2013;Santee et al, 2008a;Froidevaux et al, 2008). For a comparison with the measurements, the model results (6 h output) are interpolated to the measurement locations.…”

Section: Simulations and Measurementsmentioning

confidence: 99%

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Variability in Antarctic ozone loss in the last decade (2004–2013): high-resolution simulations compared to Aura MLS observations

Kuttippurath

Godin‐Beekmann²,

Lefèvre³

et al. 2015

Atmos. Chem. Phys.

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Abstract.A detailed analysis of the polar ozone loss processes during 10 recent Antarctic winters is presented with high-resolution MIMOSA-CHIM (Modèle Isentrope du transport Méso-échelle de l'Ozone Stratosphérique par Advection avec CHIMie) model simulations and high-frequency polar vortex observations from the Aura microwave limb sounder (MLS) instrument. The high-frequency measurements and simulations help to characterize the winters and assist the interpretation of interannual variability better than either data or simulations alone. Our model results for the Antarctic winters of [2004][2005][2006][2007][2008][2009][2010][2011][2012][2013] show that chemical ozone loss starts in the edge region of the vortex at equivalent latitudes (EqLs) of 65-67 • S in mid-June-July. The loss progresses with time at higher EqLs and intensifies during August-September over the range 400-600 K. The loss peaks in late September-early October, when all EqLs (65-83 • S) show a similar loss and the maximum loss (> 2 ppmv -parts per million by volume) is found over a broad vertical range of 475-550 K. In the lower stratosphere, most winters show similar ozone loss and production rates. In general, at 500 K, the loss rates are about 2-3 ppbv sh −1 (parts per billion by volume per sunlit hour) in July and 4-5 ppbv sh −1 in August-mid-September, while they drop rapidly to 0 by midOctober. In the middle stratosphere, the loss rates are about 3-5 ppbv sh −1 in July-August and October at 675 K. , and 2011 were moderately cold, and thus both ozone loss and peak loss altitudes are between these two ranges (3 ppmv around 500 K or 150 ± 10 DU). The modeled ozone loss values are in reasonably good agreement with those estimated from Aura MLS measurements, but the model underestimates the observed ClO, largely due to the slower vertical descent in the model during spring.

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“…To avoid the misinterpretations arsing from the use of minimum column ozone as a measure of chemical polar ozone loss, Lemmen et al (2006b) recommended that a more sophisticated measure should be applied to CCM simulations to isolate chemical (halogen-induced) ozone loss from total ozone change; they suggested using ozone-tracer correlations (e.g., Proffitt et al, 1990;Tilmes et al, 2004;Müller et al, 2005). They demonstrated the applicability of this technique to output from a model simulation (Lemmen et al, 2006b) and applied it to a recent 40-year transient CCM simulation (Lemmen et al, 2006a). Similarly, Tilmes et al (2007) applied ozone-tracer correlations to results from the WACCM3 model; they report a good reproduction of chemical ozone loss in the Antarctic vortex core (140±30 DU) whereas the WACCM3 Arctic chemical ozone loss only reaches 20 DU for cold winters, which is much lower than observed values.…”

Section: Minimum Column Polar Ozone In Model Resultsmentioning

confidence: 99%

Simple measures of ozone depletion in the polar stratosphere

Müller¹,

Grooß²,

Lemmen³

et al. 2008

Atmos. Chem. Phys.

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Abstract. We investigate the extent to which quantities that are based on total column ozone are applicable as measures of ozone loss in the polar vortices. Such quantities have been used frequently in ozone assessments by the World Meteorological Organization (WMO) and also to assess the performance of chemistry-climate models. The most commonly considered quantities are March and October mean column ozone poleward of geometric latitude 63 • and the spring minimum of daily total ozone minima poleward of a given latitude. Particularly in the Arctic, the former measure is affected by vortex variability and vortex break-up in spring. The minimum of daily total ozone minima poleward of a particular latitude is debatable, insofar as it relies on one single measurement or model grid point. We find that, for Arctic conditions, this minimum value often occurs in air outside the polar vortex, both in the observations and in a chemistry-climate model. Neither of the two measures shows a good correlation with chemical ozone loss in the vortex deduced from observations. We recommend that the minimum of daily minima should no longer be used when comparing polar ozone loss in observations and models. As an alternative to the March and October mean column polar ozone we suggest considering the minimum of daily average total ozone poleward of 63 • equivalent latitude in spring (except for winters with an early vortex break-up). Such a definition both obviates relying on one single data point and reduces the impact of year-to-year variability in the Arctic vortex breakup on ozone loss measures. Further, this measure shows a reasonable correlation (r= − 0.75) with observed chemical ozone loss. Nonetheless, simple measures of polar ozone loss must be used with caution; if possible, it is preferable to use more sophisticated measures that include additional information to disentangle the impact of transport and chemistry on ozone.

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Chemical ozone loss in a chemistry‐climate model from 1960 to 1999

Cited by 17 publications

References 38 publications

Estimation of Antarctic ozone loss from ground-based total column measurements

Estimation of Antarctic ozone loss from ground-based total column measurements

Variability in Antarctic ozone loss in the last decade (2004–2013): high-resolution simulations compared to Aura MLS observations

Simple measures of ozone depletion in the polar stratosphere

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