Articles | Volume 9, issue 9
Geosci. Model Dev., 9, 3413–3425, 2016

Special issue: Coupled Model Intercomparison Project Phase 6 (CMIP6) Experimental...

Geosci. Model Dev., 9, 3413–3425, 2016

Model experiment description paper 23 Sep 2016

Model experiment description paper | 23 Sep 2016

The Dynamics and Variability Model Intercomparison Project (DynVarMIP) for CMIP6: assessing the stratosphere–troposphere system

Edwin P. Gerber and Elisa Manzini

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Cited articles

Alexander, M. J., Geller, M., McLandress, C., Polavarapu, S., Preusse, P., Sassi, F., Sato, K., Eckermann, S., Ern, M., Hertzog, A., Kawatani, Y., Pulido, M., Shaw, T. A., Sigmond, M., Vincent R., and Watanabe, S.: Recent developments in gravity-wave effects in climate models and the global distribution of gravity-wave momentum flux from observations and models, Q. J. Roy. Meteor. Soc. 136, 1103–1124,, 2010.
Andrews, D. G. and McIntyre, M. E.: Planetary waves in horizontal and vertical shear: The generalized Eliassen-Palm relation and the mean zonal acceleration, J. Atmos. Sci., 33, 2031–2048, 1976.
Andrews, D. G. and McIntyre, M. E.: Generalized Eliassen-Palm and Charney-Drazin theorems for waves on axisymmetric mean flows in compressible atmospheres, J. Atmos. Sci., 35, 175–185, 1978.
Andrews, D. G., Mahlman, J. D., and Sinclair, R. W.: Eliassen-Palm Diagnostics of wave-mean flow interaction in the GFDL SKYHI general circulation model, J. Atmos. Sci., 40, 2768–2784, 1983.
Andrews, D. G., Holton, J. R., and Leovy, C. B.: Middle Atmospheric Dynamics, 489 pp., Academic Press, San Diego, California, 1987.

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
Diagnostics of atmospheric momentum and energy transport are needed to investigate and understand circulation biases in climate models and the atmospheric response to natural and anthropogenic forcing. To reduce such biases is of importance because they add uncertainty in regional climate projections. We define requirements for diagnosing resolved and parameterized dynamical processes relevant to atmospheric variability and the transport of mass, momentum and energy within CMIP.