Atmospheric circulation in a changing climate - DynVarMIP workshop  
Venue: Universidad Complutense de Madrid, Madrid, Spain.
Dates: 22-25 October 2019.

Gerber and Manzini (2016) The Dynamics and Variability Model Intercomparison Project (DynVarMIP) for CMIP6: assessing the stratosphere–troposphere system. Geosci. Model Dev., 9, 3413–3425





Journal publications:

Barnes, E.A., N.W. Barnes and L.M. Polvani, 2014: Delayed Southern Hemisphere climate change induced by stratospheric ozone recovery, as projected by the CMIP5 models. J. Climate, 27, 852-867.

Butler, A.H., et al., 2016: The Climate-system Historical Forecast Project: do stratosphere-resolving models make better seasonal climate predictions in boreal winter?. Q.J.R. Meteorol. Soc., 142: 1413–1427. doi:10.1002/qj.2743

Calvo, N., et al., 2017: Northern Hemisphere stratospheric pathway of different El Nino flavors in CMIP5 models. J. Climate, DOI: 10.1175/JCLI-D-16-0132.1.

Charlton-Perez, A. J., et al., 2013: On the lack of stratospheric dynamical variability in low-top versions of the CMIP5 models. J. Geophys. Res. Atmos., 118, 2494–2505, doi:10.1002/jgrd.50125

Gerber, E.P., et al., 2012: Assessing and Understanding the Impact of Stratospheric Dynamics and Variability on the Earth System. Bulletin of the American Meteorological Society 93: 845-859.

Gerber, E.P. and E. Manzini, 2016: The Dynamics and Variability Model Intercomparison Project (DynVarMIP) for CMIP6: assessing the stratosphere–troposphere system. Geosci. Model Dev., 9, 3413-3425.

Gerber, E. P. and S.-W. Son, 2014: Quantifying the Summertime Response of the Austral Jet Stream and Hadley Cell to Stratospheric Ozone and Greenhouse Gases. J. Climate, 27, 5538-5559, doi: 10.1175/JCLI-D-13-00539.1.

Hurwitz, M.M., et al., 2014; Extra-tropical atmospheric response to ENSO in the CMIP5 models. Clim. Dyn. 43, 3367–3376. DOI 10.1007/s00382-014-2110-z

Kidston J., A.A. Scaife, S.C. Hardiman, D.M. Mitchell, N. Butchart, M.P. Baldwin and L.J. Gray, 2015: Stratospheric influence on tropospheric jet streams, storm tracks and surface weather. Nat. Geosci., 8, 433-450

Lott, F. et al., 2014: Kelvin and Rossby-gravity wave packets in the lower stratosphere of some high-top CMIP5 models. JGR Atmos., 119, 2156–2173, doi: 10.1002/2013JD020797

Manzini, E. et al., 2014: Northern winter climate change: Assessment of uncertainty in CMIP5 projections related to stratosphere-troposphere coupling. JGR Atmos., 119, doi: 10.1002/2013JD021403

Neely, R.R., D.R. Marsh, K.L. Smith, S.M. Davis and L.M. Polvani, 2014: Biases in Southern Hemisphere climate trends induced by coarsely specifying the temporal resolution of stratospheric ozone. Geophys. Res. Lett., 41, doi:10.1002/2014GL061627

Scaife, A.A., et al., 2014: Predictability of the quasi-biennial oscillation and its northern winter teleconnection on sea- sonal to decadal timescales. Geophys. Res. Lett., 41, 1752–1758, doi:10.1002/ 2013GL059160.

Seviour W.J.M., S.C. Hardiman, L.J. Gray, N. Butchart, C. MacLachlan and A.A. Scaife, 2014: Skillful seasonal prediction of the Southern Annular Mode and Antarctic ozone. J. Clim., 27, 7462-7474, DOI: 10.1175/JCLI-D-14-00264.1.

Shaw, T. A., J. Perlwitz, O. Weiner, 2014: Troposphere-stratosphere coupling: Links to North Atlantic weather and climate, including their representation in CMIP5 models. J. Geophys. Res., 10.1002/2013JD021191

Simpson, I.R., T.A. Shaw, and R. Seager, 2014: A Diagnosis of the Seasonally and Longitudinally Varying Midlatitude Circulation Response to Global Warming. J. Atmos. Sci., 71, 2489-2514, DOI: 10.1175/JAS-D-13-0325.1

Kawatani, Y., and K. Hamilton, 2013: Weakened stratospheric quasibiennial oscillation driven by increased tropical mean upwelling. Nature, 497, doi:10.1038/nature12140 See also corrigendum.

Hardiman, S.C., N. Butchart, and N. Calvo, 2013: The morphology of the Brewer–Dobson circulation and its response to climate change in CMIP5 simulations. Q.J.R. Meteorol. Soc., DOI: 10.1002/qj.2258

Reichler, T., J. Kim, E. Manzini, and J. Kröger, 2012: A stratospheric connection to Atlantic climate variability. Nature Geoscience, Letters, 5, 783-787. DOI: 10.1038/ngeo1586.