edu.ucar.opensky::articles:25834 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T20:01:07.302966 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7pk0kzs https://doi.org/10.21944/temis-ozone-msr2 https Related Dataset #1 Multi-Sensor Reanalysis (MSR) of total ozone, version 2 https://doi.org/10.22033/ESGF/CMIP6.10071 https Related Dataset #2 NCAR CESM2-WACCM model output prepared for CMIP6 CMIP historical https://doi.org/10.22033/ESGF/CMIP6.11297 https Related Dataset #3 NCAR CESM2-FV2 model output prepared for CMIP6 CMIP historical https://doi.org/10.22033/ESGF/CMIP6.11298 https Related Dataset #4 NCAR CESM2-WACCM-FV2 model output prepared for CMIP6 CMIP historical https://doi.org/10.22033/ESGF/CMIP6.4066 https Related Dataset #5 CMIP6 simulations of the CNRM-CERFACS based on CNRM-CM6-1 model for CMIP experiment historical https://doi.org/10.22033/ESGF/CMIP6.4068 https Related Dataset #6 CNRM-CERFACS CNRM-ESM2-1 model output prepared for CMIP6 CMIP historical https://doi.org/10.22033/ESGF/CMIP6.4239 https Related Dataset #7 CSIRO-ARCCSS ACCESS-CM2 model output prepared for CMIP6 CMIP amip https://doi.org/10.22033/ESGF/CMIP6.5853 https Related Dataset #8 MOHC HadGEM3-GC31-LL model output prepared for CMIP6 CMIP amip https://doi.org/10.22033/ESGF/CMIP6.6109 https Related Dataset #9 MOHC HadGEM3-GC31-LL model output prepared for CMIP6 CMIP historical https://doi.org/10.22033/ESGF/CMIP6.6113 https Related Dataset #10 MOHC UKESM1.0-LL model output prepared for CMIP6 CMIP historical https://doi.org/10.22033/ESGF/CMIP6.6464 https Related Dataset #11 MPI-M MPI-ESM1.2-LR model output prepared for CMIP6 CMIP amip https://doi.org/10.22033/ESGF/CMIP6.6842 https Related Dataset #12 MRI MRI-ESM2.0 model output prepared for CMIP6 CMIP historical https://doi.org/10.22033/ESGF/CMIP6.7627 https Related Dataset #13 NCAR CESM2 model output prepared for CMIP6 CMIP historical https://doi.org/10.22033/ESGF/CMIP6.8379 https Related Dataset #14 NIMS-KMA UKESM1.0-LL model output prepared for CMIP6 CMIP historical https://doi.org/10.22033/ESGF/CMIP6.8594 https Related Dataset #15 NOAA-GFDL GFDL-CM4 model output historical https://doi.org/10.22033/ESGF/CMIP6.8597 https Related Dataset #16 NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 CMIP historical https://doi.org/10.24381/cds.6860a573 https Related Dataset #17 ERA5 monthly averaged data on pressure levels from 1979 to present https://doi.org/10.5281/zenodo.6972644 https Related Software #1 Comparison of Arctic and Antarctic stratospheric climates in chemistry versus no-chemistry climate models Comparison of Arctic and Antarctic stratospheric climates in chemistry versus no-chemistry climate models 2022-10-27T00:00:00Z publication https://n2t.org/ark:/85065/d7pk0kzs https://doi.org/10.1029/2022JD037123 Morgenstern, O. author Kinnison, Douglas E. author Mills, Michael J. author Michou, M. author Horowitz, L. W. author Lin, P. author Deushi, M. author Yoshida, K. author O'Connor, F. M. author Tang, Y. author Abraham, N. L. author Keeble, J. author Dennison, F. author Rozanov, E. author Egorova, T. author Sukhodolov, T. author Zeng, G. author UCAR/NCAR - Library publisher Using nine chemistry-climate and eight associated no-chemistry models, we investigate the persistence and timing of cold episodes occurring in the Arctic and Antarctic stratosphere during the period 1980-2014. We find systematic differences in behavior between members of these model pairs. In a first group of chemistry models whose dynamical configurations mirror their no-chemistry counterparts, we find an increased persistence of such cold polar vortices, such that these cold episodes often start earlier and last longer, relative to the times of occurrence of the lowest temperatures. Also the date of occurrence of the lowest temperatures, both in the Arctic and the Antarctic, is often delayed by 1-3 weeks in chemistry models, versus their no-chemistry counterparts. This behavior exacerbates a widespread problem occurring in most or all models, a delayed occurrence, in the median, of the most anomalously cold day during such cold winters. In a second group of model pairs there are differences beyond just ozone chemistry. In particular, here the chemistry models feature more levels in the stratosphere, a raised model top, and differences in non-orographic gravity wave drag versus their no-chemistry counterparts. Such additional dynamical differences can completely mask the above influence of ozone chemistry. The results point toward a need to retune chemistry-climate models versus their no-chemistry counterparts. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. None eng geoscientificInformation