Articles | Volume 10, issue 9
https://doi.org/10.5194/gmd-10-3207-2017
© Author(s) 2017. 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-10-3207-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Review and perspective paper
| 
01 Sep 2017
Review and perspective paper |
| 01 Sep 2017
Practice and philosophy of climate model tuning across six US modeling centers
Gavin A. Schmidt
CORRESPONDING AUTHOR
NASA Goddard Institute for Space Studies, 2880 Broadway, New York, USA
David Bader
DOE Lawrence Livermore National Laboratory, Livermore, California, USA
Leo J. Donner
GFDL/NOAA, Princeton University Forrestal Campus, 201 Forrestal Rd., Princeton, New Jersey, USA
Gregory S. Elsaesser
NASA Goddard Institute for Space Studies, 2880 Broadway, New York, USA
Columbia University, New York, New York, USA
Jean-Christophe Golaz
DOE Lawrence Livermore National Laboratory, Livermore, California, USA
Cecile Hannay
National Center for Atmospheric Research (NCAR), Boulder, Colorado, USA
Andrea Molod
Global Modeling and Assimilation Office, NASA GSFC, Greenbelt, Maryland, USA
Richard B. Neale
National Center for Atmospheric Research (NCAR), Boulder, Colorado, USA
Suranjana Saha
Environmental Modeling Center, NCEP/NWS/NOAA, NCWCP College Park, Maryland, USA
Viewed
Total article views: 16,081 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 14 Feb 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 9,232 | 6,604 | 245 | 16,081 | 259 | 250 |
- HTML: 9,232
- PDF: 6,604
- XML: 245
- Total: 16,081
- BibTeX: 259
- EndNote: 250
Total article views: 10,941 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Sep 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 8,171 | 2,562 | 208 | 10,941 | 240 | 214 |
- HTML: 8,171
- PDF: 2,562
- XML: 208
- Total: 10,941
- BibTeX: 240
- EndNote: 214
Total article views: 5,140 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 14 Feb 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,061 | 4,042 | 37 | 5,140 | 19 | 36 |
- HTML: 1,061
- PDF: 4,042
- XML: 37
- Total: 5,140
- BibTeX: 19
- EndNote: 36
Viewed (geographical distribution)
Total article views: 16,081 (including HTML, PDF, and XML)
Thereof 14,669 with geography defined
and 1,412 with unknown origin.
Total article views: 10,941 (including HTML, PDF, and XML)
Thereof 10,092 with geography defined
and 849 with unknown origin.
Total article views: 5,140 (including HTML, PDF, and XML)
Thereof 4,577 with geography defined
and 563 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
87 citations as recorded by crossref.
- Earth system model parameter adjustment using a Green's functions approach E. Strobach et al. 10.5194/gmd-15-2309-2022
- Differentiable programming for online training of a neural artificial viscosity function within a staggered grid Lagrangian hydrodynamics scheme P. Melland et al. 10.1088/2632-2153/abd644
- Subdiurnal to Interannual Frequency Analysis of Observed and Modeled Reflected Shortwave Radiation From Earth D. Feldman et al. 10.1029/2020GL089221
- Machine learning and the quest for objectivity in climate model parameterization J. Jebeile et al. 10.1007/s10584-023-03532-1
- Ongoing Breakthroughs in Convective Parameterization C. Rio et al. 10.1007/s40641-019-00127-w
- Physical Mechanisms Driving Enhanced Carbon Sequestration by the Biological Pump Under Climate Warming J. Dunne 10.1029/2023GB007859
- Connecting Hemispheric Asymmetries of Planetary Albedo and Surface Temperature M. Rugenstein & M. Hakuba 10.1029/2022GL101802
- Process‐Based Climate Model Development Harnessing Machine Learning: I. A Calibration Tool for Parameterization Improvement F. Couvreux et al. 10.1029/2020MS002217
- Toward machine-assisted tuning avoiding the underestimation of uncertainty in climate change projections F. Hourdin et al. 10.1126/sciadv.adf2758
- The End of the Wait for Climate Sensitivity? B. Sanderson 10.1029/2019GL084685
- Effects of Increasing the Category Resolution of the Sea Ice Thickness Distribution in a Coupled Climate Model on Arctic and Antarctic Sea Ice Mean State M. Smith et al. 10.1029/2022JC019044
- The CNRM Global Atmosphere Model ARPEGE‐Climat 6.3: Description and Evaluation R. Roehrig et al. 10.1029/2020MS002075
- On the climate sensitivity and historical warming evolution in recent coupled model ensembles C. Flynn & T. Mauritsen 10.5194/acp-20-7829-2020
- Probabilistic forecasts of near-term climate change: verification for temperature and precipitation changes from years 1971–2000 to 2011–2020 J. Räisänen 10.1007/s00382-022-06182-8
- Climate sensitivity indices and their relation with projected temperature change in CMIP6 models L. Huusko et al. 10.1088/1748-9326/ac0748
- Empirical values and assumptions in the microphysics of numerical models F. Tapiador et al. 10.1016/j.atmosres.2018.09.010
- Coupling aerosols to (cirrus) clouds in the global EMAC-MADE3 aerosol–climate model M. Righi et al. 10.5194/gmd-13-1635-2020
- Ice Particle Properties Inferred From Aggregation Modelling M. Karrer et al. 10.1029/2020MS002066
- Unified Entrainment and Detrainment Closures for Extended Eddy‐Diffusivity Mass‐Flux Schemes Y. Cohen et al. 10.1029/2020MS002162
- The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution P. Caldwell et al. 10.1029/2019MS001870
- Tuning the MPI‐ESM1.2 Global Climate Model to Improve the Match With Instrumental Record Warming by Lowering Its Climate Sensitivity T. Mauritsen & E. Roeckner 10.1029/2019MS002037
- Assessment of Equilibrium Climate Sensitivity of the Community Earth System Model Version 2 Through Simulation of the Last Glacial Maximum J. Zhu et al. 10.1029/2020GL091220
- Machine learning of cloud types in satellite observations and climate models P. Kuma et al. 10.5194/acp-23-523-2023
- A Simple Model for Tropical Convective Cloud Shield Area Growth and Decay Rates Informed by Geostationary IR, GPM, and Aqua/AIRS Satellite Data G. Elsaesser et al. 10.1029/2021JD035599
- The Tuning Strategy of IPSL‐CM6A‐LR J. Mignot et al. 10.1029/2020MS002340
- Beyond Mood and Atmosphere: a Conceptual History of the Term Stimmung G. Thonhauser 10.1007/s11406-020-00290-7
- Impact of the TAO/TRITON Array on Reanalyses and Predictions of the 2015 El Niño E. Hackert et al. 10.1029/2023JC020039
- Unique Observational Constraints on the Seasonal and Longitudinal Variability of the Earth’s Planetary Albedo and Cloud Distribution Inferred From EPIC Measurements B. Carlson et al. 10.3389/frsen.2021.788525
- The potential for structural errors in emergent constraints B. Sanderson et al. 10.5194/esd-12-899-2021
- Compensation Between Cloud Feedback and Aerosol‐Cloud Interaction in CMIP6 Models C. Wang et al. 10.1029/2020GL091024
- Better calibration of cloud parameterizations and subgrid effects increases the fidelity of the E3SM Atmosphere Model version 1 P. Ma et al. 10.5194/gmd-15-2881-2022
- Climate, weather, space weather: model development in an operational context D. Folini 10.1051/swsc/2018021
- Is Precipitation a Good Metric for Model Performance? F. Tapiador et al. 10.1175/BAMS-D-17-0218.1
- Diagnosing errors in climate model intercomparisons R. O’Loughlin 10.1007/s13194-023-00522-z
- Past climates inform our future J. Tierney et al. 10.1126/science.aay3701
- Paleoclimate-conditioning reveals a North Africa land–atmosphere tipping point P. Hopcroft & P. Valdes 10.1073/pnas.2108783118
- How do value-judgements enter model-based assessments of climate sensitivity? S. Undorf et al. 10.1007/s10584-022-03435-7
- Are general circulation models obsolete? V. Balaji et al. 10.1073/pnas.2202075119
- Empirical values and assumptions in the convection schemes of numerical models A. Villalba-Pradas & F. Tapiador 10.5194/gmd-15-3447-2022
- The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations D. Walters et al. 10.5194/gmd-12-1909-2019
- Exploration of diverse solutions for the calibration of imperfect climate models S. Peatier et al. 10.5194/esd-15-987-2024
- The Radiative Forcing of Aerosol–Cloud Interactions in Liquid Clouds: Wrestling and Embracing Uncertainty J. Mülmenstädt & G. Feingold 10.1007/s40641-018-0089-y
- UKESM1.1: development and evaluation of an updated configuration of the UK Earth System Model J. Mulcahy et al. 10.5194/gmd-16-1569-2023
- On the appropriate and inappropriate uses of probability distributions in climate projections and some alternatives J. Katzav et al. 10.1007/s10584-021-03267-x
- Evaluating simulated climate patterns from the CMIP archives using satellite and reanalysis datasets using the Climate Model Assessment Tool (CMATv1) J. Fasullo 10.5194/gmd-13-3627-2020
- Probabilistic forecasting using deep generative models A. Fanfarillo et al. 10.1007/s10707-020-00425-8
- Long-term Surface Temperature (LoST) database as a complement for GCM preindustrial simulations F. Cuesta-Valero et al. 10.5194/cp-15-1099-2019
- Parameter Uncertainty Quantification in an Idealized GCM With a Seasonal Cycle M. Howland et al. 10.1029/2021MS002735
- Surface Radiative Flux Bias Reduction Through Regionally Varying Cloud Fraction Parameter Nudging in a Global Coupled Forecast System J. Ridout et al. 10.1029/2019MS002006
- An extensible perturbed parameter ensemble for the Community Atmosphere Model version 6 T. Eidhammer et al. 10.5194/gmd-17-7835-2024
- Comparing climate time series – Part 2: A multivariate test T. DelSole & M. Tippett 10.5194/ascmo-7-73-2021
- Expert judgment in climate science: How it is used and how it can be justified M. Majszak & J. Jebeile 10.1016/j.shpsa.2023.05.005
- Surface mass balance downscaling through elevation classes in an Earth system model: application to the Greenland ice sheet R. Sellevold et al. 10.5194/tc-13-3193-2019
- Assessment of Uncertainties in Scenario Simulations of Biogeochemical Cycles in the Baltic Sea H. Meier et al. 10.3389/fmars.2019.00046
- The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution J. Golaz et al. 10.1029/2018MS001603
- Global Environmental Change Perspectives on Integrated, Coordinated, Open, and Networked (ICON) Science G. Koren et al. 10.1029/2022EA002231
- Prioritizing the selection of CMIP6 model ensemble members for downscaling projections of CONUS temperature and precipitation J. Longmate et al. 10.1007/s00382-023-06846-z
- Numerical Aspects and Implementation of LAKE Scheme into a Global Atmospheric Model SLAV R. Fadeev & V. Stepanenko 10.1134/S1995080224602601
- The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 2. Model Description, Sensitivity Studies, and Tuning Strategies M. Zhao et al. 10.1002/2017MS001209
- Towards Bayesian hierarchical inference of equilibrium climate sensitivity from a combination of CMIP5 climate models and observational data A. Jonko et al. 10.1007/s10584-018-2232-0
- Calibration and Uncertainty Quantification of Convective Parameters in an Idealized GCM O. Dunbar et al. 10.1029/2020MS002454
- Improved Aerosol Processes and Effective Radiative Forcing in HadGEM3 and UKESM1 J. Mulcahy et al. 10.1029/2018MS001464
- Finding plausible and diverse variants of a climate model. Part II: development and validation of methodology A. Karmalkar et al. 10.1007/s00382-019-04617-3
- UKESM1: Description and Evaluation of the U.K. Earth System Model A. Sellar et al. 10.1029/2019MS001739
- Internal climate variability and spatial temperature correlations during the past 2000 years P. Bakker et al. 10.5194/cp-18-2523-2022
- Understanding Cloud and Convective Characteristics in Version 1 of the E3SM Atmosphere Model S. Xie et al. 10.1029/2018MS001350
- Importance of Minor‐Looking Treatments in Global Climate Models H. Kawai et al. 10.1029/2022MS003128
- Correcting a bias in a climate model with an augmented emulator D. McNeall et al. 10.5194/gmd-13-2487-2020
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics H. Morrison et al. 10.1029/2019MS001689
- Semi‐Automatic Tuning of Coupled Climate Models With Multiple Intrinsic Timescales: Lessons Learned From the Lorenz96 Model R. Lguensat et al. 10.1029/2022MS003367
- Climate Model Code Genealogy and Its Relation to Climate Feedbacks and Sensitivity P. Kuma et al. 10.1029/2022MS003588
- Extratropical Cyclone Clouds in the GFDL Climate Model: Diagnosing Biases and the Associated Causes C. Naud et al. 10.1175/JCLI-D-19-0421.1
- GISS‐E2.1: Configurations and Climatology M. Kelley et al. 10.1029/2019MS002025
- Simulation of factors affecting <i>Emiliania huxleyi</i> blooms in Arctic and sub-Arctic seas by CMIP5 climate models: model validation and selection N. Gnatiuk et al. 10.5194/bg-17-1199-2020
- Improving the representation of aggregation in a two-moment microphysical scheme with statistics of multi-frequency Doppler radar observations M. Karrer et al. 10.5194/acp-21-17133-2021
- Climate response to off-equatorial stratospheric sulfur injections in three Earth system models – Part 1: Experimental protocols and surface changes D. Visioni et al. 10.5194/acp-23-663-2023
- Evaluation of Southern Ocean cloud in the HadGEM3 general circulation model and MERRA-2 reanalysis using ship-based observations P. Kuma et al. 10.5194/acp-20-6607-2020
- Constraining Clouds and Convective Parameterizations in a Climate Model Using Paleoclimate Data R. Ramos et al. 10.1029/2021MS002893
- Ground-based lidar processing and simulator framework for comparing models and observations (ALCF 1.0) P. Kuma et al. 10.5194/gmd-14-43-2021
- The German Climate Forecast System: GCFS K. Fröhlich et al. 10.1029/2020MS002101
- A missing source of uncertainty: forcing-dependent model parameter sensitivity X. Zhu 10.1088/2515-7620/abfe18
- How to Calibrate a Dynamical System With Neural Network Based Physics? B. Balogh et al. 10.1029/2022GL097872
- Climate model configurations of the ECMWF Integrated Forecasting System (ECMWF-IFS cycle 43r1) for HighResMIP C. Roberts et al. 10.5194/gmd-11-3681-2018
- ESD Reviews: Model dependence in multi-model climate ensembles: weighting, sub-selection and out-of-sample testing G. Abramowitz et al. 10.5194/esd-10-91-2019
- From many futures to one: climate-informed planning scenario analysis for resource-efficient deep climate uncertainty analysis B. François et al. 10.1007/s10584-024-03772-9
- Greater future global warming inferred from Earth’s recent energy budget P. Brown & K. Caldeira 10.1038/nature24672
- Beyond equilibrium climate sensitivity R. Knutti et al. 10.1038/ngeo3017
85 citations as recorded by crossref.
- Earth system model parameter adjustment using a Green's functions approach E. Strobach et al. 10.5194/gmd-15-2309-2022
- Differentiable programming for online training of a neural artificial viscosity function within a staggered grid Lagrangian hydrodynamics scheme P. Melland et al. 10.1088/2632-2153/abd644
- Subdiurnal to Interannual Frequency Analysis of Observed and Modeled Reflected Shortwave Radiation From Earth D. Feldman et al. 10.1029/2020GL089221
- Machine learning and the quest for objectivity in climate model parameterization J. Jebeile et al. 10.1007/s10584-023-03532-1
- Ongoing Breakthroughs in Convective Parameterization C. Rio et al. 10.1007/s40641-019-00127-w
- Physical Mechanisms Driving Enhanced Carbon Sequestration by the Biological Pump Under Climate Warming J. Dunne 10.1029/2023GB007859
- Connecting Hemispheric Asymmetries of Planetary Albedo and Surface Temperature M. Rugenstein & M. Hakuba 10.1029/2022GL101802
- Process‐Based Climate Model Development Harnessing Machine Learning: I. A Calibration Tool for Parameterization Improvement F. Couvreux et al. 10.1029/2020MS002217
- Toward machine-assisted tuning avoiding the underestimation of uncertainty in climate change projections F. Hourdin et al. 10.1126/sciadv.adf2758
- The End of the Wait for Climate Sensitivity? B. Sanderson 10.1029/2019GL084685
- Effects of Increasing the Category Resolution of the Sea Ice Thickness Distribution in a Coupled Climate Model on Arctic and Antarctic Sea Ice Mean State M. Smith et al. 10.1029/2022JC019044
- The CNRM Global Atmosphere Model ARPEGE‐Climat 6.3: Description and Evaluation R. Roehrig et al. 10.1029/2020MS002075
- On the climate sensitivity and historical warming evolution in recent coupled model ensembles C. Flynn & T. Mauritsen 10.5194/acp-20-7829-2020
- Probabilistic forecasts of near-term climate change: verification for temperature and precipitation changes from years 1971–2000 to 2011–2020 J. Räisänen 10.1007/s00382-022-06182-8
- Climate sensitivity indices and their relation with projected temperature change in CMIP6 models L. Huusko et al. 10.1088/1748-9326/ac0748
- Empirical values and assumptions in the microphysics of numerical models F. Tapiador et al. 10.1016/j.atmosres.2018.09.010
- Coupling aerosols to (cirrus) clouds in the global EMAC-MADE3 aerosol–climate model M. Righi et al. 10.5194/gmd-13-1635-2020
- Ice Particle Properties Inferred From Aggregation Modelling M. Karrer et al. 10.1029/2020MS002066
- Unified Entrainment and Detrainment Closures for Extended Eddy‐Diffusivity Mass‐Flux Schemes Y. Cohen et al. 10.1029/2020MS002162
- The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution P. Caldwell et al. 10.1029/2019MS001870
- Tuning the MPI‐ESM1.2 Global Climate Model to Improve the Match With Instrumental Record Warming by Lowering Its Climate Sensitivity T. Mauritsen & E. Roeckner 10.1029/2019MS002037
- Assessment of Equilibrium Climate Sensitivity of the Community Earth System Model Version 2 Through Simulation of the Last Glacial Maximum J. Zhu et al. 10.1029/2020GL091220
- Machine learning of cloud types in satellite observations and climate models P. Kuma et al. 10.5194/acp-23-523-2023
- A Simple Model for Tropical Convective Cloud Shield Area Growth and Decay Rates Informed by Geostationary IR, GPM, and Aqua/AIRS Satellite Data G. Elsaesser et al. 10.1029/2021JD035599
- The Tuning Strategy of IPSL‐CM6A‐LR J. Mignot et al. 10.1029/2020MS002340
- Beyond Mood and Atmosphere: a Conceptual History of the Term Stimmung G. Thonhauser 10.1007/s11406-020-00290-7
- Impact of the TAO/TRITON Array on Reanalyses and Predictions of the 2015 El Niño E. Hackert et al. 10.1029/2023JC020039
- Unique Observational Constraints on the Seasonal and Longitudinal Variability of the Earth’s Planetary Albedo and Cloud Distribution Inferred From EPIC Measurements B. Carlson et al. 10.3389/frsen.2021.788525
- The potential for structural errors in emergent constraints B. Sanderson et al. 10.5194/esd-12-899-2021
- Compensation Between Cloud Feedback and Aerosol‐Cloud Interaction in CMIP6 Models C. Wang et al. 10.1029/2020GL091024
- Better calibration of cloud parameterizations and subgrid effects increases the fidelity of the E3SM Atmosphere Model version 1 P. Ma et al. 10.5194/gmd-15-2881-2022
- Climate, weather, space weather: model development in an operational context D. Folini 10.1051/swsc/2018021
- Is Precipitation a Good Metric for Model Performance? F. Tapiador et al. 10.1175/BAMS-D-17-0218.1
- Diagnosing errors in climate model intercomparisons R. O’Loughlin 10.1007/s13194-023-00522-z
- Past climates inform our future J. Tierney et al. 10.1126/science.aay3701
- Paleoclimate-conditioning reveals a North Africa land–atmosphere tipping point P. Hopcroft & P. Valdes 10.1073/pnas.2108783118
- How do value-judgements enter model-based assessments of climate sensitivity? S. Undorf et al. 10.1007/s10584-022-03435-7
- Are general circulation models obsolete? V. Balaji et al. 10.1073/pnas.2202075119
- Empirical values and assumptions in the convection schemes of numerical models A. Villalba-Pradas & F. Tapiador 10.5194/gmd-15-3447-2022
- The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations D. Walters et al. 10.5194/gmd-12-1909-2019
- Exploration of diverse solutions for the calibration of imperfect climate models S. Peatier et al. 10.5194/esd-15-987-2024
- The Radiative Forcing of Aerosol–Cloud Interactions in Liquid Clouds: Wrestling and Embracing Uncertainty J. Mülmenstädt & G. Feingold 10.1007/s40641-018-0089-y
- UKESM1.1: development and evaluation of an updated configuration of the UK Earth System Model J. Mulcahy et al. 10.5194/gmd-16-1569-2023
- On the appropriate and inappropriate uses of probability distributions in climate projections and some alternatives J. Katzav et al. 10.1007/s10584-021-03267-x
- Evaluating simulated climate patterns from the CMIP archives using satellite and reanalysis datasets using the Climate Model Assessment Tool (CMATv1) J. Fasullo 10.5194/gmd-13-3627-2020
- Probabilistic forecasting using deep generative models A. Fanfarillo et al. 10.1007/s10707-020-00425-8
- Long-term Surface Temperature (LoST) database as a complement for GCM preindustrial simulations F. Cuesta-Valero et al. 10.5194/cp-15-1099-2019
- Parameter Uncertainty Quantification in an Idealized GCM With a Seasonal Cycle M. Howland et al. 10.1029/2021MS002735
- Surface Radiative Flux Bias Reduction Through Regionally Varying Cloud Fraction Parameter Nudging in a Global Coupled Forecast System J. Ridout et al. 10.1029/2019MS002006
- An extensible perturbed parameter ensemble for the Community Atmosphere Model version 6 T. Eidhammer et al. 10.5194/gmd-17-7835-2024
- Comparing climate time series – Part 2: A multivariate test T. DelSole & M. Tippett 10.5194/ascmo-7-73-2021
- Expert judgment in climate science: How it is used and how it can be justified M. Majszak & J. Jebeile 10.1016/j.shpsa.2023.05.005
- Surface mass balance downscaling through elevation classes in an Earth system model: application to the Greenland ice sheet R. Sellevold et al. 10.5194/tc-13-3193-2019
- Assessment of Uncertainties in Scenario Simulations of Biogeochemical Cycles in the Baltic Sea H. Meier et al. 10.3389/fmars.2019.00046
- The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution J. Golaz et al. 10.1029/2018MS001603
- Global Environmental Change Perspectives on Integrated, Coordinated, Open, and Networked (ICON) Science G. Koren et al. 10.1029/2022EA002231
- Prioritizing the selection of CMIP6 model ensemble members for downscaling projections of CONUS temperature and precipitation J. Longmate et al. 10.1007/s00382-023-06846-z
- Numerical Aspects and Implementation of LAKE Scheme into a Global Atmospheric Model SLAV R. Fadeev & V. Stepanenko 10.1134/S1995080224602601
- The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 2. Model Description, Sensitivity Studies, and Tuning Strategies M. Zhao et al. 10.1002/2017MS001209
- Towards Bayesian hierarchical inference of equilibrium climate sensitivity from a combination of CMIP5 climate models and observational data A. Jonko et al. 10.1007/s10584-018-2232-0
- Calibration and Uncertainty Quantification of Convective Parameters in an Idealized GCM O. Dunbar et al. 10.1029/2020MS002454
- Improved Aerosol Processes and Effective Radiative Forcing in HadGEM3 and UKESM1 J. Mulcahy et al. 10.1029/2018MS001464
- Finding plausible and diverse variants of a climate model. Part II: development and validation of methodology A. Karmalkar et al. 10.1007/s00382-019-04617-3
- UKESM1: Description and Evaluation of the U.K. Earth System Model A. Sellar et al. 10.1029/2019MS001739
- Internal climate variability and spatial temperature correlations during the past 2000 years P. Bakker et al. 10.5194/cp-18-2523-2022
- Understanding Cloud and Convective Characteristics in Version 1 of the E3SM Atmosphere Model S. Xie et al. 10.1029/2018MS001350
- Importance of Minor‐Looking Treatments in Global Climate Models H. Kawai et al. 10.1029/2022MS003128
- Correcting a bias in a climate model with an augmented emulator D. McNeall et al. 10.5194/gmd-13-2487-2020
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics H. Morrison et al. 10.1029/2019MS001689
- Semi‐Automatic Tuning of Coupled Climate Models With Multiple Intrinsic Timescales: Lessons Learned From the Lorenz96 Model R. Lguensat et al. 10.1029/2022MS003367
- Climate Model Code Genealogy and Its Relation to Climate Feedbacks and Sensitivity P. Kuma et al. 10.1029/2022MS003588
- Extratropical Cyclone Clouds in the GFDL Climate Model: Diagnosing Biases and the Associated Causes C. Naud et al. 10.1175/JCLI-D-19-0421.1
- GISS‐E2.1: Configurations and Climatology M. Kelley et al. 10.1029/2019MS002025
- Simulation of factors affecting <i>Emiliania huxleyi</i> blooms in Arctic and sub-Arctic seas by CMIP5 climate models: model validation and selection N. Gnatiuk et al. 10.5194/bg-17-1199-2020
- Improving the representation of aggregation in a two-moment microphysical scheme with statistics of multi-frequency Doppler radar observations M. Karrer et al. 10.5194/acp-21-17133-2021
- Climate response to off-equatorial stratospheric sulfur injections in three Earth system models – Part 1: Experimental protocols and surface changes D. Visioni et al. 10.5194/acp-23-663-2023
- Evaluation of Southern Ocean cloud in the HadGEM3 general circulation model and MERRA-2 reanalysis using ship-based observations P. Kuma et al. 10.5194/acp-20-6607-2020
- Constraining Clouds and Convective Parameterizations in a Climate Model Using Paleoclimate Data R. Ramos et al. 10.1029/2021MS002893
- Ground-based lidar processing and simulator framework for comparing models and observations (ALCF 1.0) P. Kuma et al. 10.5194/gmd-14-43-2021
- The German Climate Forecast System: GCFS K. Fröhlich et al. 10.1029/2020MS002101
- A missing source of uncertainty: forcing-dependent model parameter sensitivity X. Zhu 10.1088/2515-7620/abfe18
- How to Calibrate a Dynamical System With Neural Network Based Physics? B. Balogh et al. 10.1029/2022GL097872
- Climate model configurations of the ECMWF Integrated Forecasting System (ECMWF-IFS cycle 43r1) for HighResMIP C. Roberts et al. 10.5194/gmd-11-3681-2018
- ESD Reviews: Model dependence in multi-model climate ensembles: weighting, sub-selection and out-of-sample testing G. Abramowitz et al. 10.5194/esd-10-91-2019
- From many futures to one: climate-informed planning scenario analysis for resource-efficient deep climate uncertainty analysis B. François et al. 10.1007/s10584-024-03772-9
Discussed (final revised paper)
Discussed (preprint)
Latest update: 14 Dec 2024
Short summary
The development of coupled ocean atmosphere climate models is a complex process that inevitably includes multiple calibration steps (sometimes called
tuning). Tuning uses degrees of freedom allowed by uncertainties in model approximations to modify parameters to make the simulation better align with some selected observed target(s). We describe how these tuning targets, parameters, and philosophy vary across six US modeling centers in order to increase the transparency of the practice.
The development of coupled ocean atmosphere climate models is a complex process that inevitably...
