TY - JOUR
T1 - Uncertainty in the Response of Sudden Stratospheric Warmings and Stratosphere-Troposphere Coupling to Quadrupled CO2 Concentrations in CMIP6 Models
AU - Ayarzagüena, B.
AU - Charlton-Perez, A. J.
AU - Butler, A. H.
AU - Hitchcock, P.
AU - Simpson, I. R.
AU - Polvani, L. M.
AU - Butchart, N.
AU - Gerber, E. P.
AU - Gray, L.
AU - Hassler, B.
AU - Lin, P.
AU - Lott, F.
AU - Manzini, E.
AU - Mizuta, R.
AU - Orbe, C.
AU - Osprey, S.
AU - Saint-Martin, D.
AU - Sigmond, M.
AU - Taguchi, M.
AU - Volodin, E. M.
AU - Watanabe, S.
N1 - Funding Information:
B. A. was supported by the Spanish Ministry of Science, Innovation and Universities through the JeDiS (RTI2018‐096402‐B‐I00) project. This research is part of POLARCSIC activities. The work of L. M. P. is funded, in part, by a grant from the U.S. National Science Foundation to Columbia University. N. B. was supported by the Met Office Hadley Centre Climate Programme funded by BEIS and Defra. E. P. G. acknowledges support from the NSF through Award AGS‐1852727. E. M. acknowledges support from the Blue‐Action project, Grant Agreement 727852, European Union's Horizon 2020 research and innovation programme. C. O. thanks the support and resources provided by the NASA Modeling, Analysis and Prediction program and the NASA High‐End Computing (HEC) Program through the NASA Center for Climate Simulation (NCCS) at Goddard Space Flight Center. S. W. was supported by the “Integrated Research Program for Advancing Climate Models (TOUGOU Program)” from the Ministry of Education, Culture, Sports, Science, and Technology (MEXT), Japan. We acknowledge the World Climate Research Programme, which, through its Working Group on Coupled Modelling, coordinated and promoted CMIP6. We thank the climate modeling groups for producing and making available their model output, the Earth System Grid Federation (ESGF) for archiving the data and providing access, and the multiple funding agencies who support CMIP6 and ESGF. The authors thank the WCRP SPARC for support of the DynVar Activity, which spurred the formation of the DynVarMIP. CMIP6 data are allocated at the ESGF archive ( https://esgf‐node.llnl.gov/projects/cmip6/ ). The Japanese 55‐year Reanalysis (JRA‐55) project was carried out by the Japan Meteorological Agency (JMA). JRA‐55 data were accessed through NCAR‐ UCAR Research Data Archive ( https://rda.ucar.edu ).
Funding Information:
B. A. was supported by the Spanish Ministry of Science, Innovation and Universities through the JeDiS (RTI2018-096402-B-I00) project. This research is part of POLARCSIC activities. The work of L. M. P. is funded, in part, by a grant from the U.S. National Science Foundation to Columbia University. N. B. was supported by the Met Office Hadley Centre Climate Programme funded by BEIS and Defra. E. P. G. acknowledges support from the NSF through Award AGS-1852727. E. M. acknowledges support from the Blue-Action project, Grant Agreement 727852, European Union's Horizon 2020 research and innovation programme. C. O. thanks the support and resources provided by the NASA Modeling, Analysis and Prediction program and the NASA High-End Computing (HEC) Program through the NASA Center for Climate Simulation (NCCS) at Goddard Space Flight Center. S. W. was supported by the “Integrated Research Program for Advancing Climate Models (TOUGOU Program)” from the Ministry of Education, Culture, Sports, Science, and Technology (MEXT), Japan. We acknowledge the World Climate Research Programme, which, through its Working Group on Coupled Modelling, coordinated and promoted CMIP6. We thank the climate modeling groups for producing and making available their model output, the Earth System Grid Federation (ESGF) for archiving the data and providing access, and the multiple funding agencies who support CMIP6 and ESGF. The authors thank the WCRP SPARC for support of the DynVar Activity, which spurred the formation of the DynVarMIP. CMIP6 data are allocated at the ESGF archive (https://esgf-node.llnl.gov/projects/cmip6/). The Japanese 55-year Reanalysis (JRA-55) project was carried out by the Japan Meteorological Agency (JMA). JRA-55 data were accessed through NCAR- UCAR Research Data Archive (https://rda.ucar.edu).
Publisher Copyright:
©2020. American Geophysical Union and Crown copyright. All Rights Reserved.
PY - 2020/3/27
Y1 - 2020/3/27
N2 - Major sudden stratospheric warmings (SSWs), vortex formation, and final breakdown dates are key highlight points of the stratospheric polar vortex. These phenomena are relevant for stratosphere-troposphere coupling, which explains the interest in understanding their future changes. However, up to now, there is not a clear consensus on which projected changes to the polar vortex are robust, particularly in the Northern Hemisphere, possibly due to short data record or relatively moderate CO2 forcing. The new simulations performed under the Coupled Model Intercomparison Project, Phase 6, together with the long daily data requirements of the DynVarMIP project in preindustrial and quadrupled CO2 (4xCO2) forcing simulations provide a new opportunity to revisit this topic by overcoming the limitations mentioned above. In this study, we analyze this new model output to document the change, if any, in the frequency of SSWs under 4xCO2 forcing. Our analysis reveals a large disagreement across the models as to the sign of this change, even though most models show a statistically significant change. As for the near-surface response to SSWs, the models, however, are in good agreement as to this signal over the North Atlantic: There is no indication of a change under 4xCO2 forcing. Over the Pacific, however, the change is more uncertain, with some indication that there will be a larger mean response. Finally, the models show robust changes to the seasonal cycle in the stratosphere. Specifically, we find a longer duration of the stratospheric polar vortex and thus a longer season of stratosphere-troposphere coupling.
AB - Major sudden stratospheric warmings (SSWs), vortex formation, and final breakdown dates are key highlight points of the stratospheric polar vortex. These phenomena are relevant for stratosphere-troposphere coupling, which explains the interest in understanding their future changes. However, up to now, there is not a clear consensus on which projected changes to the polar vortex are robust, particularly in the Northern Hemisphere, possibly due to short data record or relatively moderate CO2 forcing. The new simulations performed under the Coupled Model Intercomparison Project, Phase 6, together with the long daily data requirements of the DynVarMIP project in preindustrial and quadrupled CO2 (4xCO2) forcing simulations provide a new opportunity to revisit this topic by overcoming the limitations mentioned above. In this study, we analyze this new model output to document the change, if any, in the frequency of SSWs under 4xCO2 forcing. Our analysis reveals a large disagreement across the models as to the sign of this change, even though most models show a statistically significant change. As for the near-surface response to SSWs, the models, however, are in good agreement as to this signal over the North Atlantic: There is no indication of a change under 4xCO2 forcing. Over the Pacific, however, the change is more uncertain, with some indication that there will be a larger mean response. Finally, the models show robust changes to the seasonal cycle in the stratosphere. Specifically, we find a longer duration of the stratospheric polar vortex and thus a longer season of stratosphere-troposphere coupling.
KW - CMIP6
KW - climate change
KW - stratosphere-troposphere coupling
KW - sudden stratospheric warming
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UR - http://www.scopus.com/inward/citedby.url?scp=85082338344&partnerID=8YFLogxK
U2 - 10.1029/2019JD032345
DO - 10.1029/2019JD032345
M3 - Article
AN - SCOPUS:85082338344
SN - 2169-897X
VL - 125
JO - Journal of Geophysical Research: Atmospheres
JF - Journal of Geophysical Research: Atmospheres
IS - 6
M1 - e2019JD032345
ER -