Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Geosci. Model Dev., 9, 3413-3425, 2016
http://www.geosci-model-dev.net/9/3413/2016/
doi:10.5194/gmd-9-3413-2016
© Author(s) 2016. This work is distributed
under the Creative Commons Attribution 3.0 License.
Model experiment description paper
23 Sep 2016
The Dynamics and Variability Model Intercomparison Project (DynVarMIP) for CMIP6: assessing the stratosphere–troposphere system
Edwin P. Gerber1 and Elisa Manzini2 1Courant Institute of Mathematical Sciences, New York University, 251 Mercer Street, New York, NY 10012, USA
2Max-Planck-Institut für Meteorologie, Bundesstraße 53, 20146 Hamburg, Germany
Abstract. Diagnostics of atmospheric momentum and energy transport are needed to investigate the origin of circulation biases in climate models and to understand the atmospheric response to natural and anthropogenic forcing. Model biases in atmospheric dynamics are one of the factors that increase uncertainty in projections of regional climate, precipitation and extreme events. Here we define requirements for diagnosing the atmospheric circulation and variability across temporal scales and for evaluating the transport of mass, momentum and energy by dynamical processes in the context of the Coupled Model Intercomparison Project Phase 6 (CMIP6). These diagnostics target the assessments of both resolved and parameterized dynamical processes in climate models, a novelty for CMIP, and are particularly vital for assessing the impact of the stratosphere on surface climate change.
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Citation: Gerber, E. P. and Manzini, E.: The Dynamics and Variability Model Intercomparison Project (DynVarMIP) for CMIP6: assessing the stratosphere–troposphere system, Geosci. Model Dev., 9, 3413-3425, doi:10.5194/gmd-9-3413-2016, 2016.
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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.
Diagnostics of atmospheric momentum and energy transport are needed to investigate and...
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