Articles | Volume 9, issue 9
https://doi.org/10.5194/gmd-9-3447-2016
© 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-9-3447-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
The Radiative Forcing Model Intercomparison Project (RFMIP): experimental protocol for CMIP6
Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO 80309, USA
NOAA Earth System Research Lab, Physical Sciences Division, Boulder, CO 80305, USA
Piers M. Forster
Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, UK
Bjorn Stevens
Max Planck Institute for Meteorology, Hamburg 20146, Germany
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- Model for Estimating the Transient Response of the Global Mean Surface Temperature to Changes in the Concentrations of Atmospheric Aerosols and Radiatively Active Gases S. Soldatenko & R. Yusupov 10.1134/S1024856019050154
- Implementation of the CMIP6 Forcing Data in the IPSL‐CM6A‐LR Model T. Lurton et al. 10.1029/2019MS001940
- Climate change response in wintertime widespread fog conditions over the Indo-Gangetic Plains D. Hingmire et al. 10.1007/s00382-021-06030-1
- Suppressed Late‐20th Century Warming in CMIP6 Models Explained by Forcing and Feedbacks C. Smith & P. Forster 10.1029/2021GL094948
- Effective Radiative Forcing in a GCM With Fixed Surface Temperatures T. Andrews et al. 10.1029/2020JD033880
- EC-Earth3-AerChem: a global climate model with interactive aerosols and atmospheric chemistry participating in CMIP6 T. van Noije et al. 10.5194/gmd-14-5637-2021
- Effective radiative forcing from emissions of reactive gases and aerosols – a multi-model comparison G. Thornhill et al. 10.5194/acp-21-853-2021
- MACv2-SP: a parameterization of anthropogenic aerosol optical properties and an associated Twomey effect for use in CMIP6 B. Stevens et al. 10.5194/gmd-10-433-2017
- Radiative forcing of climate change from the Copernicus reanalysis of atmospheric composition N. Bellouin et al. 10.5194/essd-12-1649-2020
- Significance of the organic aerosol driven climate feedback in the boreal area T. Yli-Juuti et al. 10.1038/s41467-021-25850-7
- The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 1. Simulation Characteristics With Prescribed SSTs M. Zhao et al. 10.1002/2017MS001208
- Comparison of Anthropogenic Aerosol Climate Effects among Three Climate Models with Reduced Complexity X. Shi et al. 10.3390/atmos10080456
- Negligible Unforced Historical Pattern Effect on Climate Feedback Strength Found in HadISST-Based AMIP Simulations N. Lewis & T. Mauritsen 10.1175/JCLI-D-19-0941.1
- Minimal CMIP Emulator (MCE v1.2): a new simplified method for probabilistic climate projections J. Tsutsui 10.5194/gmd-15-951-2022
- Polar amplification dominated by local forcing and feedbacks M. Stuecker et al. 10.1038/s41558-018-0339-y
- Assessing Global and Local Radiative Feedbacks Based on AGCM Simulations for 1980–2014/2017 R. Zhang et al. 10.1029/2020GL088063
- The GFDL Global Atmospheric Chemistry‐Climate Model AM4.1: Model Description and Simulation Characteristics L. Horowitz et al. 10.1029/2019MS002032
- The CMIP6 Data Request (DREQ, version 01.00.31) M. Juckes et al. 10.5194/gmd-13-201-2020
- Intermodel Spread in the Pattern Effect and Its Contribution to Climate Sensitivity in CMIP5 and CMIP6 Models Y. Dong et al. 10.1175/JCLI-D-19-1011.1
- 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
- Predicting atmospheric optical properties for radiative transfer computations using neural networks M. Veerman et al. 10.1098/rsta.2020.0095
- Cloud Feedbacks from CanESM2 to CanESM5.0 and their influence on climate sensitivity J. Virgin et al. 10.5194/gmd-14-5355-2021
- Estimating the CMIP6 Anthropogenic Aerosol Radiative Effects with the Advantage of Prescribed Aerosol Forcing X. Shi et al. 10.3390/atmos12030406
- Assessment of pre-industrial to present-day anthropogenic climate forcing in UKESM1 F. O'Connor et al. 10.5194/acp-21-1211-2021
- Evaluating Climate Model Simulations of the Radiative Forcing and Radiative Response at Earth’s Surface R. Kramer et al. 10.1175/JCLI-D-18-0137.1
- The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6 M. Webb et al. 10.5194/gmd-10-359-2017
- Climate Sensitivity Increases Under Higher CO 2 Levels Due to Feedback Temperature Dependence J. Bloch‐Johnson et al. 10.1029/2020GL089074
- Modifying emissions scenario projections to account for the effects of COVID-19: protocol for CovidMIP R. Lamboll et al. 10.5194/gmd-14-3683-2021
- Radiative Forcing of Climate: The Historical Evolution of the Radiative Forcing Concept, the Forcing Agents and their Quantification, and Applications V. Ramaswamy et al. 10.1175/AMSMONOGRAPHS-D-19-0001.1
- AerChemMIP: quantifying the effects of chemistry and aerosols in CMIP6 W. Collins et al. 10.5194/gmd-10-585-2017
- Water vapor and lapse rate feedbacks in the climate system R. Colman & B. Soden 10.1103/RevModPhys.93.045002
- Estimating Radiative Forcing With a Nonconstant Feedback Parameter and Linear Response H. Fredriksen et al. 10.1029/2020JD034145
- Aerosol and Solar Irradiance Effects on Decadal Climate Variability and Predictability D. Zanchettin 10.1007/s40641-017-0065-y
- Detection and attribution of aerosol–cloud interactions in large-domain large-eddy simulations with the ICOsahedral Non-hydrostatic model M. Costa-Surós et al. 10.5194/acp-20-5657-2020
- The Palaeoclimate and Terrestrial Exoplanet Radiative Transfer Model Intercomparison Project (PALAEOTRIP): experimental design and protocols C. Goldblatt et al. 10.5194/gmd-10-3931-2017
- Energy budget constraints on historical radiative forcing T. Andrews & P. Forster 10.1038/s41558-020-0696-1
- The Australian Earth System Model: ACCESS-ESM1.5 T. Ziehn et al. 10.1071/ES19035
- Improved Aerosol Processes and Effective Radiative Forcing in HadGEM3 and UKESM1 J. Mulcahy et al. 10.1029/2018MS001464
- U.K. Community Earth System Modeling for CMIP6 C. Senior et al. 10.1029/2019MS002004
8 citations as recorded by crossref.
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- Fast and slow shifts of the zonal‐mean intertropical convergence zone in response to an idealized anthropogenic aerosol A. Voigt et al. 10.1002/2016MS000902
- On the sensitivity of anthropogenic aerosol forcing to model‐internal variability and parameterizing a T womey effect S. Fiedler et al. 10.1002/2017MS000932
- Recommendations for diagnosing effective radiative forcing from climate models for CMIP6 P. Forster et al. 10.1002/2016JD025320
- Developments in the MPI‐M Earth System Model version 1.2 (MPI‐ESM1.2) and Its Response to Increasing CO 2 T. Mauritsen et al. 10.1029/2018MS001400
- The Land Use Model Intercomparison Project (LUMIP) contribution to CMIP6: rationale and experimental design D. Lawrence et al. 10.5194/gmd-9-2973-2016
- 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
- Quantification of temperature response to CO2 forcing in atmosphere–ocean general circulation models J. Tsutsui 10.1007/s10584-016-1832-9
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Short summary
This paper describes an experimental protocol to understand the changes in energy balance (the "radiative forcing") that arise due to changes in atmospheric composition and why this value is not the same across climate models. The protocol includes a way to determine the total forcing to which each model is subjected, experiments designed at teasing out why certain errors occur, and experiments to identify any robust signals caused by atmospheric particles from human activities.
This paper describes an experimental protocol to understand the changes in energy balance (the...