Articles | Volume 10, issue 4
https://doi.org/10.5194/esd-10-729-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-10-729-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
13 Nov 2019
Research article | Highlight paper |
| 13 Nov 2019
| 13 Nov 2019
Evaluating climate emulation: fundamental impulse testing of simple climate models
Adria K. Schwarber
CORRESPONDING AUTHOR
Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD 20742, USA
Steven J. Smith
Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD 20742, USA
Joint Global Change Research Institute, 5825 University Research Ct, College Park, MD 20740, USA
Corinne A. Hartin
Joint Global Change Research Institute, 5825 University Research Ct, College Park, MD 20740, USA
Benjamin Aaron Vega-Westhoff
Joint Global Change Research Institute, 5825 University Research Ct, College Park, MD 20740, USA
Ryan Sriver
Department of Atmospheric Sciences, University of Illinois
Urbana–Champaign, Champaign, IL 61820, USA
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Cited
14 citations as recorded by crossref.
- HIRM v1.0: a hybrid impulse response model for climate modeling and uncertainty analyses K. Dorheim et al. 10.5194/gmd-14-365-2021
- Pangeo-Enabled ESM Pattern Scaling (PEEPS): A customizable dataset of emulated Earth System Model output B. Kravitz et al. 10.1371/journal.pclm.0000159
- Statistical mechanics in climate emulation: Challenges and perspectives I. Sudakow et al. 10.1017/eds.2022.15
- Mechanisms and Impacts of Earth System Tipping Elements S. Wang et al. 10.1029/2021RG000757
- Effect of aerosol radiative forcing uncertainty on projected exceedance year of a 1.5 °C global temperature rise A. Peace et al. 10.1088/1748-9326/aba20c
- Improving reduced complexity model assessment and usability M. Sarofim et al. 10.1038/s41558-020-00973-9
- How may solar geoengineering impact global prospects for climate change mitigation? K. Ricke & A. Harding 10.1093/oxrep/grad044
- Incremental improvements of 2030 targets insufficient to achieve the Paris Agreement goals A. Geiges et al. 10.5194/esd-11-697-2020
- Damage function uncertainty increases the social cost of methane and nitrous oxide T. Wang & F. Teng 10.1038/s41558-023-01803-4
- Improving statistical projections of ocean dynamic sea-level change using pattern recognition techniques V. Malagón-Santos et al. 10.5194/os-19-499-2023
- Reduced Complexity Model Intercomparison Project Phase 1: introduction and evaluation of global-mean temperature response Z. Nicholls et al. 10.5194/gmd-13-5175-2020
- Reduced Complexity Model Intercomparison Project Phase 2: Synthesizing Earth System Knowledge for Probabilistic Climate Projections Z. Nicholls et al. 10.1029/2020EF001900
- Minimal CMIP Emulator (MCE v1.2): a new simplified method for probabilistic climate projections J. Tsutsui 10.5194/gmd-15-951-2022
- Impact of methane and black carbon mitigation on forcing and temperature: a multi-model scenario analysis S. Smith et al. 10.1007/s10584-020-02794-3
13 citations as recorded by crossref.
- HIRM v1.0: a hybrid impulse response model for climate modeling and uncertainty analyses K. Dorheim et al. 10.5194/gmd-14-365-2021
- Pangeo-Enabled ESM Pattern Scaling (PEEPS): A customizable dataset of emulated Earth System Model output B. Kravitz et al. 10.1371/journal.pclm.0000159
- Statistical mechanics in climate emulation: Challenges and perspectives I. Sudakow et al. 10.1017/eds.2022.15
- Mechanisms and Impacts of Earth System Tipping Elements S. Wang et al. 10.1029/2021RG000757
- Effect of aerosol radiative forcing uncertainty on projected exceedance year of a 1.5 °C global temperature rise A. Peace et al. 10.1088/1748-9326/aba20c
- Improving reduced complexity model assessment and usability M. Sarofim et al. 10.1038/s41558-020-00973-9
- How may solar geoengineering impact global prospects for climate change mitigation? K. Ricke & A. Harding 10.1093/oxrep/grad044
- Incremental improvements of 2030 targets insufficient to achieve the Paris Agreement goals A. Geiges et al. 10.5194/esd-11-697-2020
- Damage function uncertainty increases the social cost of methane and nitrous oxide T. Wang & F. Teng 10.1038/s41558-023-01803-4
- Improving statistical projections of ocean dynamic sea-level change using pattern recognition techniques V. Malagón-Santos et al. 10.5194/os-19-499-2023
- Reduced Complexity Model Intercomparison Project Phase 1: introduction and evaluation of global-mean temperature response Z. Nicholls et al. 10.5194/gmd-13-5175-2020
- Reduced Complexity Model Intercomparison Project Phase 2: Synthesizing Earth System Knowledge for Probabilistic Climate Projections Z. Nicholls et al. 10.1029/2020EF001900
- Minimal CMIP Emulator (MCE v1.2): a new simplified method for probabilistic climate projections J. Tsutsui 10.5194/gmd-15-951-2022
1 citations as recorded by crossref.
Latest update: 19 Apr 2024
Short summary
Simple climate models (SCMs) underlie many important scientific and decision-making endeavors. This illustrates the need for their use to be rooted in a clear understanding of their fundamental responses. In this study, we provide a comprehensive assessment of model performance by evaluating the fundamental responses of several SCMs. We find biases in some responses, which have implications for decision science. We conclude by recommending a standard set of validation tests for any SCM.
Simple climate models (SCMs) underlie many important scientific and decision-making endeavors....
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