Ozone Recovery from Merged Observational Data and Model
Analysis (OREGANO)
Project related publications
Arosio, C., Chipperfield, M. P., Dhomse, S., Feng, W., Rozanov, A.,
Weber, M., Zhou, X., Burrows, J. P.: Investigating zonal asymmetries
in stratospheric ozone trends from satellite limb observations and a
chemical transport model, ESS Open Archive,
doi:10.22541/essoar.169945491.16645643/v1,
[preprint, under review at
J. Geophys. Res. - Atmos.], 2023.
Chipperfield, M. P., Chrysanthou, A., Damadeo, R., Dameris, M., Dhomse, S. S.,
Fioletov, V., Frith, S. M., Godin-Beekmann, S., Hassler, B.,
Liu, J., Müller, R., Petropavlovskikh, I., Santee, M. L.,
Stauffer, R. M., Tarasick, D., Thompson, A. M.,
Weber, M., Young, P. J., Comment on "Observation of large and all-season ozone
losses over the tropics" [AIP Advances 12 075006 (2022)], AIP Adv., 12, 129102,
https://doi.org/10.1063/5.0121723, 2022.
Dhomse, S. S. and Chipperfield, M. P.:
Using machine-learning to construct TOMCAT model and occultation
measurement-based stratospheric methane (TCOM-CH4) and nitrous oxide
(TCOM-N2O) profile data sets, Earth Syst. Sci. Data., 15, 5105-5120,
https://doi.org/10.5194/essd-15-5105-2023, 2023.
Dunn, R. J. H., J. B. Miller, K. M. Willett, and N. Gobron, et al.:
Global Climate [in "State of the Climate in 2022"], Bull. Amer.
Meteor. Soc., 104, S11-S145, https://doi.org/10.1175/BAMS-D-23-0090.1, 2023.
Godin-Beekmann, S., Azouz, N., Sofieva, V. F., Hubert, D., Petropavlovskikh, I., Effertz, P.,
Ancellet, G., Degenstein, D. A., Zawada, D., Froidevaux, L., Frith, S., Wild, J., Davis, S.,
Steinbrecht, W., Leblanc, T., Querel, R., Tourpali, K., Damadeo, R., Maillard Barras, E., Stübi, R.,
Vigouroux, C., Arosio, C., Nedoluha, G., Boyd, I., Van Malderen, R., Mahieu, E., Smale, D.,
and Sussmann, R.: Updated trends of the stratospheric ozone vertical distribution in the 60°S-60°N latitud
range based on the LOTUS regression model, Atmos. Chem. Phys., 22, 11657-11673,
https://doi.org/10.5194/acp-22-11657-2022,
2022.
Li, Y., Dhomse, S. S., Chipperfield, M. P., Feng, W., Bian, J., Xia,
Y., and Guo, D.: Quantifying stratospheric ozone trends over
1984-2020: a comparison of ordinary and regularized multivariate
regression models, Atmos. Chem. Phys., 23, 13029-13047,
https://doi.org/10.5194/acp-23-13029-2023, 2023.
Sofieva, V. F., Hänninen, R., Sofiev, M., Szelag, M., Lee, H. S.,
Tamminen, J., and Retscher, C.: Synergy of Using Nadir and Limb
Instruments for Tropospheric Ozone Monitoring (SUNLIT),
Atmos. Meas. Tech., 15, 3193-3212,
https://doi.org/10.5194/amt-15-3193-2022,
2022.
Sofieva, V. F., Szelag, M., Tamminen, J., Arosio, C., Rozanov, A.,
Weber, M., Degenstein, D., Bourassa, A., Zawada, D., Kiefer, M.,
Laeng, A., Walker, K. A., Sheese, P., Hubert, D., van Roozendael,
M., Retscher, C., Damadeo, R. and Lumpe, J. D.: Updated merged
SAGE-CCI-OMPS+ dataset for the evaluation of ozone trends in the
stratosphere, Atmos. Meas. Tech., 16, 1881-1899,
https://doi.org/10.5194/amt-16-1881-2023,
2023.
Weber, M., Arosio, C., Coldewey-Egbers, M., Fioletov, V. E., Frith, S. M., Wild, J. D., Tourpali, K.,
Burrows, J. P., and Loyola, D.: Global total ozone recovery trends attributed to ozone-depleting substance
(ODS) changes derived from five merged ozone datasets, Atmos. Chem. Phys., 22, 6843-6859,
https://doi.org/10.5194/acp-22-6843-2022,
2022.
Weber, M.: Stability requirements of observation systems to detect
long-term stratospheric ozone trends based upon Monte Carlo
simulations, EGUsphere [preprint, under review at Atmos. Meas. Tech.],
,
https://doi.org/10.5194/egusphere-2023-3070, 2024.
Zhou, X., S.S. Dhomse, W. Feng, G. Mann, S. Heddell, H. Pumphrey, B.J.
Kerridge, B. Latter, R. Siddans, L. Ventress, R. Querel, P. Smale, E.
Asher, E.G. Hall, S. Bekki, M.P. Chipperfield:Antarctic vortex
dehydration in 2023 as a substantial removal pathway for Hunga
Tonga-Hunga Ha'apai water vapour, doi:
10.22541/essoar.170603848.83725516/v1 [preprint, under review at
Geophys. Res. Lett.], 2024.
