Articles | Volume 9, issue 9
https://doi.org/10.5194/gmd-9-3413-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-3413-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
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
Courant Institute of Mathematical Sciences, New York University, 251
Mercer Street, New York, NY 10012, USA
Elisa Manzini
CORRESPONDING AUTHOR
Max-Planck-Institut für Meteorologie, Bundesstraße 53, 20146
Hamburg, Germany
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31 citations as recorded by crossref.
- Added value of CMIP6 over CMIP5 models in simulating Indian summer monsoon rainfall A. Gusain et al. 10.1016/j.atmosres.2019.104680
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- Variations in the Frequency of Stratospheric Sudden Warmings in CMIP5 and CMIP6 and Possible Causes Z. Wu & T. Reichler 10.1175/JCLI-D-20-0104.1
- Ural Blocking Driving Extreme Arctic Sea Ice Loss, Cold Eurasia, and Stratospheric Vortex Weakening in Autumn and Early Winter 2016–2017 E. Tyrlis et al. 10.1029/2019JD031085
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- The Brewer–Dobson circulation in CMIP6 M. Abalos et al. 10.5194/acp-21-13571-2021
- The impacts of global warming on climate zones over China based on CMIP6 models S. Wang et al. 10.1002/joc.8567
- Overview of experiment design and comparison of models participating in phase 1 of the SPARC Quasi-Biennial Oscillation initiative (QBOi) N. Butchart et al. 10.5194/gmd-11-1009-2018
- The CMIP6 Data Request (DREQ, version 01.00.31) M. Juckes et al. 10.5194/gmd-13-201-2020
- Attribution of multi-annual to decadal changes in the climate system: The Large Ensemble Single Forcing Model Intercomparison Project (LESFMIP) D. Smith et al. 10.3389/fclim.2022.955414
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- Optimal reliability ensemble averaging approach for robust climate projections over China Y. Gao et al. 10.1002/joc.8485
- The Lack of a QBO‐MJO Connection in Climate Models With a Nudged Stratosphere Z. Martin et al. 10.1029/2023JD038722
- A Framework for Stormwater Quality Modelling under the Effects of Climate Change to Enhance Reuse B. Wijesiri et al. 10.3390/su122410463
- The stratosphere: a review of the dynamics and variability N. Butchart 10.5194/wcd-3-1237-2022
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- Stratospheric wave driving events as an alternative to sudden stratospheric warmings T. Reichler & M. Jucker 10.5194/wcd-3-659-2022
- Arctic Stratosphere Circulation Changes in the 21st Century in Simulations of INM CM5 P. Vargin et al. 10.3390/atmos13010025
- Stratospheric water vapor affecting atmospheric circulation E. Charlesworth et al. 10.1038/s41467-023-39559-2
- Evaluation and projections of surface air temperature over the Tibetan Plateau from CMIP6 and CMIP5: warming trend and uncertainty M. Zhou et al. 10.1007/s00382-022-06518-4
- The role of the basic state in the climate response to future Arctic sea ice loss M. Sigmond & L. Sun 10.1088/2752-5295/ad44ca
- The Decadal Climate Prediction Project (DCPP) contribution to CMIP6 G. Boer et al. 10.5194/gmd-9-3751-2016
- The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6 D. Zanchettin et al. 10.5194/gmd-9-2701-2016
28 citations as recorded by crossref.
- Added value of CMIP6 over CMIP5 models in simulating Indian summer monsoon rainfall A. Gusain et al. 10.1016/j.atmosres.2019.104680
- Documenting numerical experiments in support of the Coupled Model Intercomparison Project Phase 6 (CMIP6) C. Pascoe et al. 10.5194/gmd-13-2149-2020
- An evaluation of tropical waves and wave forcing of the QBO in the QBOi models L. Holt et al. 10.1002/qj.3827
- Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative C. Orbe et al. 10.5194/acp-20-3809-2020
- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): a protocol for investigating the role of stratospheric polar vortex disturbances in subseasonal to seasonal forecasts P. Hitchcock et al. 10.5194/gmd-15-5073-2022
- Boreal winter stratospheric climatology in EC-EARTH: CMIP6 version F. Palmeiro et al. 10.1007/s00382-022-06368-0
- Observational perspective on sudden stratospheric warmings and blocking from Eliassen–Palm fluxes K. Yessimbet et al. 10.5194/acp-24-10893-2024
- Spatiotemporal dynamics of landslide susceptibility under future climate change and land use scenarios K. Ullah et al. 10.1088/1748-9326/ad8a72
- Variations in the Frequency of Stratospheric Sudden Warmings in CMIP5 and CMIP6 and Possible Causes Z. Wu & T. Reichler 10.1175/JCLI-D-20-0104.1
- Ural Blocking Driving Extreme Arctic Sea Ice Loss, Cold Eurasia, and Stratospheric Vortex Weakening in Autumn and Early Winter 2016–2017 E. Tyrlis et al. 10.1029/2019JD031085
- HSW-V v1.0: localized injections of interactive volcanic aerosols and their climate impacts in a simple general circulation model J. Hollowed et al. 10.5194/gmd-17-5913-2024
- The Brewer–Dobson circulation in CMIP6 M. Abalos et al. 10.5194/acp-21-13571-2021
- The impacts of global warming on climate zones over China based on CMIP6 models S. Wang et al. 10.1002/joc.8567
- Overview of experiment design and comparison of models participating in phase 1 of the SPARC Quasi-Biennial Oscillation initiative (QBOi) N. Butchart et al. 10.5194/gmd-11-1009-2018
- The CMIP6 Data Request (DREQ, version 01.00.31) M. Juckes et al. 10.5194/gmd-13-201-2020
- Attribution of multi-annual to decadal changes in the climate system: The Large Ensemble Single Forcing Model Intercomparison Project (LESFMIP) D. Smith et al. 10.3389/fclim.2022.955414
- The Polar Amplification Model Intercomparison Project (PAMIP) contribution to CMIP6: investigating the causes and consequences of polar amplification D. Smith et al. 10.5194/gmd-12-1139-2019
- The influence of ENSO events on the stratospheric QBO in a multi-model ensemble F. Serva et al. 10.1007/s00382-020-05131-7
- GISS Model E2.2: A Climate Model Optimized for the Middle Atmosphere—Model Structure, Climatology, Variability, and Climate Sensitivity D. Rind et al. 10.1029/2019JD032204
- Optimal reliability ensemble averaging approach for robust climate projections over China Y. Gao et al. 10.1002/joc.8485
- The Lack of a QBO‐MJO Connection in Climate Models With a Nudged Stratosphere Z. Martin et al. 10.1029/2023JD038722
- A Framework for Stormwater Quality Modelling under the Effects of Climate Change to Enhance Reuse B. Wijesiri et al. 10.3390/su122410463
- The stratosphere: a review of the dynamics and variability N. Butchart 10.5194/wcd-3-1237-2022
- Uncertainty in the Response of Sudden Stratospheric Warmings and Stratosphere‐Troposphere Coupling to Quadrupled CO2 Concentrations in CMIP6 Models B. Ayarzagüena et al. 10.1029/2019JD032345
- Stratospheric wave driving events as an alternative to sudden stratospheric warmings T. Reichler & M. Jucker 10.5194/wcd-3-659-2022
- Arctic Stratosphere Circulation Changes in the 21st Century in Simulations of INM CM5 P. Vargin et al. 10.3390/atmos13010025
- Stratospheric water vapor affecting atmospheric circulation E. Charlesworth et al. 10.1038/s41467-023-39559-2
- Evaluation and projections of surface air temperature over the Tibetan Plateau from CMIP6 and CMIP5: warming trend and uncertainty M. Zhou et al. 10.1007/s00382-022-06518-4
3 citations as recorded by crossref.
- The role of the basic state in the climate response to future Arctic sea ice loss M. Sigmond & L. Sun 10.1088/2752-5295/ad44ca
- The Decadal Climate Prediction Project (DCPP) contribution to CMIP6 G. Boer et al. 10.5194/gmd-9-3751-2016
- The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6 D. Zanchettin et al. 10.5194/gmd-9-2701-2016
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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...
