Articles | Volume 9, issue 11
https://doi.org/10.5194/gmd-9-4019-2016
© 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-9-4019-2016
© 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
| 
09 Nov 2016
Model experiment description paper |
| 09 Nov 2016
nonlinMIP contribution to CMIP6: model intercomparison project for non-linear mechanisms: physical basis, experimental design and analysis principles (v1.0)
Peter Good
CORRESPONDING AUTHOR
Met Office Hadley Centre, Exeter, UK
Timothy Andrews
Met Office Hadley Centre, Exeter, UK
Robin Chadwick
Met Office Hadley Centre, Exeter, UK
Jean-Louis Dufresne
Laboratoire de Météorologie Dynamique, Institut Pierre Simon
Laplace, Paris, France
Jonathan M. Gregory
NCAS-Climate, University of Reading, Reading, UK
Met Office Hadley Centre, Exeter, UK
Jason A. Lowe
Met Office Hadley Centre, Exeter, UK
Nathalie Schaller
Atmospheric, Oceanic and Planetary Physics, University of
Oxford, Parks Road, Oxford OX1 3PU, UK
Hideo Shiogama
Climate Risk Assessment Section, Centre for Global Environmental
Research, National Institute for Environmental Studies, Tsukuba, Japan
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Cited
17 citations as recorded by crossref.
- The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6 M. Webb et al. 10.5194/gmd-10-359-2017
- Machine dependence and reproducibility for coupled climate simulations: the HadGEM3-GC3.1 CMIP Preindustrial simulation M. Guarino et al. 10.5194/gmd-13-139-2020
- LongRunMIP: Motivation and Design for a Large Collection of Millennial-Length AOGCM Simulations M. Rugenstein et al. 10.1175/BAMS-D-19-0068.1
- Equilibrium- and Transient-State Dependencies of Climate Sensitivity: Are They Important for Climate Projections? O. Geoffroy & D. Saint-Martin 10.1175/JCLI-D-19-0248.1
- A New Graphical Method to Diagnose the Impacts of Model Changes on Climate Sensitivity S. JAIN et al. 10.2151/jmsj.2021-021
- Non‐Monotonic Feedback Dependence Under Abrupt CO2 Forcing Due To a North Atlantic Pattern Effect I. Mitevski et al. 10.1029/2023GL103617
- Climate Sensitivity Increases Under Higher CO2 Levels Due to Feedback Temperature Dependence J. Bloch‐Johnson et al. 10.1029/2020GL089074
- Fast and Slow Components of the Extratropical Atmospheric Circulation Response to CO2 Forcing P. Ceppi et al. 10.1175/JCLI-D-17-0323.1
- Three Flavors of Radiative Feedbacks and Their Implications for Estimating Equilibrium Climate Sensitivity M. Rugenstein & K. Armour 10.1029/2021GL092983
- Transient and Quasi‐Equilibrium Climate States at 1.5°C and 2°C Global Warming A. King et al. 10.1029/2021EF002274
- State‐Dependence of the Climate Sensitivity in Earth System Models of Intermediate Complexity P. Pfister & T. Stocker 10.1002/2017GL075457
- Can we use linear response theory to assess geoengineering strategies? T. Bódai et al. 10.1063/1.5122255
- Fast‐Forward to Perturbed Equilibrium Climate D. Saint‐Martin et al. 10.1029/2019GL083031
- Assessing the performance of climate change simulation results from BESM-OA2.5 compared with a CMIP5 model ensemble V. Capistrano et al. 10.5194/gmd-13-2277-2020
- Weak dependence of future global mean warming on the background climate state M. Stolpe et al. 10.1007/s00382-019-04849-3
- Climate Sensitivity on Geological Timescales Controlled by Nonlinear Feedbacks and Ocean Circulation A. Farnsworth et al. 10.1029/2019GL083574
- State dependence of CO 2 forcing and its implications for climate sensitivity H. He et al. 10.1126/science.abq6872
17 citations as recorded by crossref.
- The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6 M. Webb et al. 10.5194/gmd-10-359-2017
- Machine dependence and reproducibility for coupled climate simulations: the HadGEM3-GC3.1 CMIP Preindustrial simulation M. Guarino et al. 10.5194/gmd-13-139-2020
- LongRunMIP: Motivation and Design for a Large Collection of Millennial-Length AOGCM Simulations M. Rugenstein et al. 10.1175/BAMS-D-19-0068.1
- Equilibrium- and Transient-State Dependencies of Climate Sensitivity: Are They Important for Climate Projections? O. Geoffroy & D. Saint-Martin 10.1175/JCLI-D-19-0248.1
- A New Graphical Method to Diagnose the Impacts of Model Changes on Climate Sensitivity S. JAIN et al. 10.2151/jmsj.2021-021
- Non‐Monotonic Feedback Dependence Under Abrupt CO2 Forcing Due To a North Atlantic Pattern Effect I. Mitevski et al. 10.1029/2023GL103617
- Climate Sensitivity Increases Under Higher CO2 Levels Due to Feedback Temperature Dependence J. Bloch‐Johnson et al. 10.1029/2020GL089074
- Fast and Slow Components of the Extratropical Atmospheric Circulation Response to CO2 Forcing P. Ceppi et al. 10.1175/JCLI-D-17-0323.1
- Three Flavors of Radiative Feedbacks and Their Implications for Estimating Equilibrium Climate Sensitivity M. Rugenstein & K. Armour 10.1029/2021GL092983
- Transient and Quasi‐Equilibrium Climate States at 1.5°C and 2°C Global Warming A. King et al. 10.1029/2021EF002274
- State‐Dependence of the Climate Sensitivity in Earth System Models of Intermediate Complexity P. Pfister & T. Stocker 10.1002/2017GL075457
- Can we use linear response theory to assess geoengineering strategies? T. Bódai et al. 10.1063/1.5122255
- Fast‐Forward to Perturbed Equilibrium Climate D. Saint‐Martin et al. 10.1029/2019GL083031
- Assessing the performance of climate change simulation results from BESM-OA2.5 compared with a CMIP5 model ensemble V. Capistrano et al. 10.5194/gmd-13-2277-2020
- Weak dependence of future global mean warming on the background climate state M. Stolpe et al. 10.1007/s00382-019-04849-3
- Climate Sensitivity on Geological Timescales Controlled by Nonlinear Feedbacks and Ocean Circulation A. Farnsworth et al. 10.1029/2019GL083574
- State dependence of CO 2 forcing and its implications for climate sensitivity H. He et al. 10.1126/science.abq6872
Saved (preprint)
Latest update: 01 May 2024
Short summary
The nonlinMIP model intercomparison project is described. nonlinMIP provides experiments that account for state-dependent regional and global climate responses. The experiments have two main applications: 1) to focus understanding of responses to CO2 forcing on states relevant to specific policy or scientific questions (e.g.
change under low-forcing scenarios, the benefits of mitigation, or from past cold climates to
the present day), or 2) to understand state dependence of climate responses.
The nonlinMIP model intercomparison project is described. nonlinMIP provides experiments that...
