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Estimates of Ozone Return Dates from Chemistry-Climate Model Initiative Simulations

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Estimates of Ozone Return Dates from Chemistry-Climate Model Initiative Simulations. / Dhomse, Sandip; Kinnison, Douglas; Chipperfield, Martyn et al.
In: Atmospheric Chemistry and Physics Discussions, Vol. 18, No. 11, 15.06.2018, p. 8409-8438.

Research output: Contribution to Journal/MagazineJournal article

Harvard

Dhomse, S, Kinnison, D, Chipperfield, M, Cionni, I, Hegglin, M, Abraham, L, Akiyoshi, H, Archibald, A, Bednarz, EM, Bekki, S, Braesicke, P, Butchart, N, Dameris, M, Deushi, M, Frith, S, Hardiman, S, Hassler, B, Horowitz, L, Hu, R-M, Jöckel, P, Josse, B, Kirner, O, Kremser, S, Langematz, U, Lewis, J, Marchand, M, Lin, M, Mancini, E, Marécal, V, Michou, M, Morgenstern, O, O'Connor, F, Oman, L, Pitari, G, Plummer, D, Pyle, J, Revell, L, Rozanov, E, Schofield, R, Stenke, A, Stone, K, Sudo, K, Tilmes, S, Visioni, D, Yamashita, Y & Zeng, G 2018, 'Estimates of Ozone Return Dates from Chemistry-Climate Model Initiative Simulations', Atmospheric Chemistry and Physics Discussions, vol. 18, no. 11, pp. 8409-8438. https://doi.org/10.5194/acp-2018-8409-2018

APA

Dhomse, S., Kinnison, D., Chipperfield, M., Cionni, I., Hegglin, M., Abraham, L., Akiyoshi, H., Archibald, A., Bednarz, E. M., Bekki, S., Braesicke, P., Butchart, N., Dameris, M., Deushi, M., Frith, S., Hardiman, S., Hassler, B., Horowitz, L., Hu, R-M., ... Zeng, G. (2018). Estimates of Ozone Return Dates from Chemistry-Climate Model Initiative Simulations. Atmospheric Chemistry and Physics Discussions, 18(11), 8409-8438. https://doi.org/10.5194/acp-2018-8409-2018

Vancouver

Dhomse S, Kinnison D, Chipperfield M, Cionni I, Hegglin M, Abraham L et al. Estimates of Ozone Return Dates from Chemistry-Climate Model Initiative Simulations. Atmospheric Chemistry and Physics Discussions. 2018 Jun 15;18(11):8409-8438. Epub 2018 Feb 6. doi: 10.5194/acp-2018-8409-2018

Author

Dhomse, Sandip ; Kinnison, Douglas ; Chipperfield, Martyn et al. / Estimates of Ozone Return Dates from Chemistry-Climate Model Initiative Simulations. In: Atmospheric Chemistry and Physics Discussions. 2018 ; Vol. 18, No. 11. pp. 8409-8438.

Bibtex

@article{b911304b210e44fa93fba26b9c928f94,
title = "Estimates of Ozone Return Dates from Chemistry-Climate Model Initiative Simulations",
abstract = "We analyse simulations performed for the Chemistry-Climate Model Initiative (CCMI) to estimate the return dates of the stratospheric ozone layer from depletion caused by anthropogenic stratospheric chlorine and bromine. We consider a total of 155 simulations from 20 models, including a range of sensitivity studies which examine the impact of climate change on ozone recovery. For the control simulations (unconstrained by nudging towards analysed meteorology) there is a large spread (±20 DU in the global average) in the predictions of the absolute ozone column. Therefore, the model results need to be adjusted for biases against historical data. Also, the interannual variability in the model results need to be smoothed in order to provide a reasonably narrow estimate of the range of ozone return dates. Consistent with previous studies, but here for a Representative Concentration Pathway (RCP) of 6.0, these new CCMI simulations project that global total column ozone will return to 1980 values in 2047 (with a 1-σ uncertainty of 2042–2052). At Southern Hemisphere mid-latitudes column ozone is projected to return to 1980 values in 2046 (2042–2050), and at Northern Hemisphere mid-latitudes in 2034 (2024–2044). In the polar regions, the return dates are 2062 (2055–2066) in the Antarctic in October and 2035 (2025–2040) in the Arctic in March. The earlier return dates in the NH reflect the larger sensitivity to dynamical changes. Our estimates of return dates are later than those presented in the 2014 Ozone Assessment by approximately 5–15 years, depending on the region. In the tropics only around half the models predict a return to 1980 values, at around 2040, while the other half do not reach this value. All models show a negative trend in tropical total column ozone towards the end of the 21st century. The CCMI models generally agree in their simulation of the time evolution of stratospheric chlorine, which is the main driver of ozone loss and recovery. However, there are a few outliers which show that the multi-model mean results for ozone recovery are not as tightly constrained as possible. Throughout the stratosphere the spread of ozone return dates to 1980 values between models tends to correlate with the spread of the return of inorganic chlorine to 1980 values. In the upper stratosphere, greenhouse gas-induced cooling speeds up the return by about 10–20 years. In the lower stratosphere, and for the column, there is a more direct link in the timing of the return dates, especially for the large Antarctic depletion. Comparisons of total column ozone between the models is affected by different predictions of the evolution of tropospheric ozone within the same scenario, presumably due to differing treatment of tropospheric chemistry. Therefore, for many scenarios, clear conclusions can only be drawn for stratospheric ozone columns rather than the total column. As noted by previous studies, the timing of ozone recovery is affected by the evolution of N2O and CH4. However, the effect in the simulations analysed here is small and at the limit of detectability from the few realisations available for these experiments compared to internal model variability. The large increase in N2O given in RCP 6.0 extends the ozone return globally by ~ 15 years relative to N2O fixed at 1960 abundances, mainly because it allows tropical column ozone to be depleted. The effect in extratropical latitudes is much smaller. The large increase in CH4 given in the RCP 8.5 scenario compared to RCP 6.0 also changes ozone return by ~ 15 years, again mainly through its impact in the tropics. For future assessments of single forcing or combined effects of CO2, CH4, and N2O on the stratospheric column ozone return dates, this work suggests that is more important to have multi-member (at least 3) ensembles for each scenario from each established participating model, rather than a large number of individual models.",
author = "Sandip Dhomse and Douglas Kinnison and Martyn Chipperfield and Irene Cionni and Michaela Hegglin and Luke Abraham and Hideharu Akiyoshi and Alex Archibald and Bednarz, {Ewa Monika} and Slimane Bekki and Peter Braesicke and Neal Butchart and Martin Dameris and Makoto Deushi and Stacy Frith and Steven Hardiman and Birgit Hassler and Larry Horowitz and Rong-Ming Hu and Patrick J{\"o}ckel and Beatrice Josse and Oliver Kirner and Stefanie Kremser and Ulrike Langematz and Jared Lewis and Marion Marchand and Meiyun Lin and Eva Mancini and Virginie Mar{\'e}cal and Martine Michou and Olaf Morgenstern and Fiona O'Connor and Luke Oman and Giovanni Pitari and David Plummer and John Pyle and Laura Revell and Eugene Rozanov and Robyn Schofield and Andrea Stenke and Kane Stone and Kengo Sudo and Simone Tilmes and Daniele Visioni and Yousuke Yamashita and Guang Zeng",
year = "2018",
month = jun,
day = "15",
doi = "10.5194/acp-2018-8409-2018",
language = "English",
volume = "18",
pages = "8409--8438",
journal = "Atmospheric Chemistry and Physics Discussions",
issn = "1680-7367",
publisher = "Copernicus GmbH",
number = "11",

}

RIS

TY - JOUR

T1 - Estimates of Ozone Return Dates from Chemistry-Climate Model Initiative Simulations

AU - Dhomse, Sandip

AU - Kinnison, Douglas

AU - Chipperfield, Martyn

AU - Cionni, Irene

AU - Hegglin, Michaela

AU - Abraham, Luke

AU - Akiyoshi, Hideharu

AU - Archibald, Alex

AU - Bednarz, Ewa Monika

AU - Bekki, Slimane

AU - Braesicke, Peter

AU - Butchart, Neal

AU - Dameris, Martin

AU - Deushi, Makoto

AU - Frith, Stacy

AU - Hardiman, Steven

AU - Hassler, Birgit

AU - Horowitz, Larry

AU - Hu, Rong-Ming

AU - Jöckel, Patrick

AU - Josse, Beatrice

AU - Kirner, Oliver

AU - Kremser, Stefanie

AU - Langematz, Ulrike

AU - Lewis, Jared

AU - Marchand, Marion

AU - Lin, Meiyun

AU - Mancini, Eva

AU - Marécal, Virginie

AU - Michou, Martine

AU - Morgenstern, Olaf

AU - O'Connor, Fiona

AU - Oman, Luke

AU - Pitari, Giovanni

AU - Plummer, David

AU - Pyle, John

AU - Revell, Laura

AU - Rozanov, Eugene

AU - Schofield, Robyn

AU - Stenke, Andrea

AU - Stone, Kane

AU - Sudo, Kengo

AU - Tilmes, Simone

AU - Visioni, Daniele

AU - Yamashita, Yousuke

AU - Zeng, Guang

PY - 2018/6/15

Y1 - 2018/6/15

N2 - We analyse simulations performed for the Chemistry-Climate Model Initiative (CCMI) to estimate the return dates of the stratospheric ozone layer from depletion caused by anthropogenic stratospheric chlorine and bromine. We consider a total of 155 simulations from 20 models, including a range of sensitivity studies which examine the impact of climate change on ozone recovery. For the control simulations (unconstrained by nudging towards analysed meteorology) there is a large spread (±20 DU in the global average) in the predictions of the absolute ozone column. Therefore, the model results need to be adjusted for biases against historical data. Also, the interannual variability in the model results need to be smoothed in order to provide a reasonably narrow estimate of the range of ozone return dates. Consistent with previous studies, but here for a Representative Concentration Pathway (RCP) of 6.0, these new CCMI simulations project that global total column ozone will return to 1980 values in 2047 (with a 1-σ uncertainty of 2042–2052). At Southern Hemisphere mid-latitudes column ozone is projected to return to 1980 values in 2046 (2042–2050), and at Northern Hemisphere mid-latitudes in 2034 (2024–2044). In the polar regions, the return dates are 2062 (2055–2066) in the Antarctic in October and 2035 (2025–2040) in the Arctic in March. The earlier return dates in the NH reflect the larger sensitivity to dynamical changes. Our estimates of return dates are later than those presented in the 2014 Ozone Assessment by approximately 5–15 years, depending on the region. In the tropics only around half the models predict a return to 1980 values, at around 2040, while the other half do not reach this value. All models show a negative trend in tropical total column ozone towards the end of the 21st century. The CCMI models generally agree in their simulation of the time evolution of stratospheric chlorine, which is the main driver of ozone loss and recovery. However, there are a few outliers which show that the multi-model mean results for ozone recovery are not as tightly constrained as possible. Throughout the stratosphere the spread of ozone return dates to 1980 values between models tends to correlate with the spread of the return of inorganic chlorine to 1980 values. In the upper stratosphere, greenhouse gas-induced cooling speeds up the return by about 10–20 years. In the lower stratosphere, and for the column, there is a more direct link in the timing of the return dates, especially for the large Antarctic depletion. Comparisons of total column ozone between the models is affected by different predictions of the evolution of tropospheric ozone within the same scenario, presumably due to differing treatment of tropospheric chemistry. Therefore, for many scenarios, clear conclusions can only be drawn for stratospheric ozone columns rather than the total column. As noted by previous studies, the timing of ozone recovery is affected by the evolution of N2O and CH4. However, the effect in the simulations analysed here is small and at the limit of detectability from the few realisations available for these experiments compared to internal model variability. The large increase in N2O given in RCP 6.0 extends the ozone return globally by ~ 15 years relative to N2O fixed at 1960 abundances, mainly because it allows tropical column ozone to be depleted. The effect in extratropical latitudes is much smaller. The large increase in CH4 given in the RCP 8.5 scenario compared to RCP 6.0 also changes ozone return by ~ 15 years, again mainly through its impact in the tropics. For future assessments of single forcing or combined effects of CO2, CH4, and N2O on the stratospheric column ozone return dates, this work suggests that is more important to have multi-member (at least 3) ensembles for each scenario from each established participating model, rather than a large number of individual models.

AB - We analyse simulations performed for the Chemistry-Climate Model Initiative (CCMI) to estimate the return dates of the stratospheric ozone layer from depletion caused by anthropogenic stratospheric chlorine and bromine. We consider a total of 155 simulations from 20 models, including a range of sensitivity studies which examine the impact of climate change on ozone recovery. For the control simulations (unconstrained by nudging towards analysed meteorology) there is a large spread (±20 DU in the global average) in the predictions of the absolute ozone column. Therefore, the model results need to be adjusted for biases against historical data. Also, the interannual variability in the model results need to be smoothed in order to provide a reasonably narrow estimate of the range of ozone return dates. Consistent with previous studies, but here for a Representative Concentration Pathway (RCP) of 6.0, these new CCMI simulations project that global total column ozone will return to 1980 values in 2047 (with a 1-σ uncertainty of 2042–2052). At Southern Hemisphere mid-latitudes column ozone is projected to return to 1980 values in 2046 (2042–2050), and at Northern Hemisphere mid-latitudes in 2034 (2024–2044). In the polar regions, the return dates are 2062 (2055–2066) in the Antarctic in October and 2035 (2025–2040) in the Arctic in March. The earlier return dates in the NH reflect the larger sensitivity to dynamical changes. Our estimates of return dates are later than those presented in the 2014 Ozone Assessment by approximately 5–15 years, depending on the region. In the tropics only around half the models predict a return to 1980 values, at around 2040, while the other half do not reach this value. All models show a negative trend in tropical total column ozone towards the end of the 21st century. The CCMI models generally agree in their simulation of the time evolution of stratospheric chlorine, which is the main driver of ozone loss and recovery. However, there are a few outliers which show that the multi-model mean results for ozone recovery are not as tightly constrained as possible. Throughout the stratosphere the spread of ozone return dates to 1980 values between models tends to correlate with the spread of the return of inorganic chlorine to 1980 values. In the upper stratosphere, greenhouse gas-induced cooling speeds up the return by about 10–20 years. In the lower stratosphere, and for the column, there is a more direct link in the timing of the return dates, especially for the large Antarctic depletion. Comparisons of total column ozone between the models is affected by different predictions of the evolution of tropospheric ozone within the same scenario, presumably due to differing treatment of tropospheric chemistry. Therefore, for many scenarios, clear conclusions can only be drawn for stratospheric ozone columns rather than the total column. As noted by previous studies, the timing of ozone recovery is affected by the evolution of N2O and CH4. However, the effect in the simulations analysed here is small and at the limit of detectability from the few realisations available for these experiments compared to internal model variability. The large increase in N2O given in RCP 6.0 extends the ozone return globally by ~ 15 years relative to N2O fixed at 1960 abundances, mainly because it allows tropical column ozone to be depleted. The effect in extratropical latitudes is much smaller. The large increase in CH4 given in the RCP 8.5 scenario compared to RCP 6.0 also changes ozone return by ~ 15 years, again mainly through its impact in the tropics. For future assessments of single forcing or combined effects of CO2, CH4, and N2O on the stratospheric column ozone return dates, this work suggests that is more important to have multi-member (at least 3) ensembles for each scenario from each established participating model, rather than a large number of individual models.

U2 - 10.5194/acp-2018-8409-2018

DO - 10.5194/acp-2018-8409-2018

M3 - Journal article

VL - 18

SP - 8409

EP - 8438

JO - Atmospheric Chemistry and Physics Discussions

JF - Atmospheric Chemistry and Physics Discussions

SN - 1680-7367

IS - 11

ER -