Articles | Volume 13, issue 11
https://doi.org/10.5194/gmd-13-5175-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-5175-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model experiment description paper
| 
31 Oct 2020
Model experiment description paper |
| 31 Oct 2020
| 31 Oct 2020
Reduced Complexity Model Intercomparison Project Phase 1: introduction and evaluation of global-mean temperature response
Zebedee R. J. Nicholls
CORRESPONDING AUTHOR
Australian–German Climate and Energy College, The University of Melbourne, Parkville, Victoria, Australia
School of Earth Sciences, The University of Melbourne, Parkville, Victoria, Australia
Malte Meinshausen
Australian–German Climate and Energy College, The University of Melbourne, Parkville, Victoria, Australia
School of Earth Sciences, The University of Melbourne, Parkville, Victoria, Australia
Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany
Jared Lewis
Australian–German Climate and Energy College, The University of Melbourne, Parkville, Victoria, Australia
Robert Gieseke
Independent Researcher, Potsdam, Germany
Dietmar Dommenget
Monash University, School of Earth, Atmosphere and Environment, Clayton, Victoria 3800, Australia
Kalyn Dorheim
Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD 20740, USA
Chen-Shuo Fan
Monash University, School of Earth, Atmosphere and Environment, Clayton, Victoria 3800, Australia
Jan S. Fuglestvedt
CICERO Center for International Climate Research, Oslo, Norway
Thomas Gasser
International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria
Ulrich Golüke
BI Norwegian Business School, Nydalsveien 37, 0484 Oslo, Norway
Philip Goodwin
School of Ocean and Earth Science, University of Southampton, Southampton, UK
Corinne Hartin
Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD 20740, USA
Austin P. Hope
Department of Atmospheric and Oceanic Science, University of Maryland-College Park, College Park, MD 20740, USA
Elmar Kriegler
Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany
Nicholas J. Leach
Department of Physics, Atmospheric Oceanic and Planetary Physics, University of Oxford, Oxford, UK
Davide Marchegiani
Monash University, School of Earth, Atmosphere and Environment, Clayton, Victoria 3800, Australia
Laura A. McBride
Department of Chemistry and Biochemistry, University of Maryland-College Park, College Park, MD 20740, USA
Yann Quilcaille
International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria
Joeri Rogelj
International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria
Grantham Institute for Climate Change and the Environment, Imperial College London, London, UK
Ross J. Salawitch
Department of Atmospheric and Oceanic Science, University of Maryland-College Park, College Park, MD 20740, USA
Department of Chemistry and Biochemistry, University of Maryland-College Park, College Park, MD 20740, USA
Earth System Science Interdisciplinary Center, University of Maryland-College Park, College Park, MD 20740, USA
Bjørn H. Samset
CICERO Center for International Climate Research, Oslo, Norway
Marit Sandstad
CICERO Center for International Climate Research, Oslo, Norway
Alexey N. Shiklomanov
Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD 20740, USA
Ragnhild B. Skeie
CICERO Center for International Climate Research, Oslo, Norway
Christopher J. Smith
International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria
Priestley International Centre for Climate, University of Leeds, Leeds, UK
Steve Smith
Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD 20740, USA
Katsumasa Tanaka
National Institute for Environmental Studies (NIES), Tsukuba, Japan
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Gif sur Yvette, France
Junichi Tsutsui
Environmental Science Research Laboratory, Central Research Institute of Electric Power Industry, Abiko, Japan
Zhiang Xie
Monash University, School of Earth, Atmosphere and Environment, Clayton, Victoria 3800, Australia
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- Errors in Simple Climate Model Emulations of Past and Future Global Temperature Change L. Jackson et al. 10.1029/2022GL098808
- Changes to population-based emergence of climate change from CMIP5 to CMIP6 H. Douglas et al. 10.1088/1748-9326/aca91e
- CICERO Simple Climate Model (CICERO-SCM v1.1.1) – an improved simple climate model with a parameter calibration tool M. Sandstad et al. 10.5194/gmd-17-6589-2024
- Hector V3.2.0: functionality and performance of a reduced-complexity climate model K. Dorheim et al. 10.5194/gmd-17-4855-2024
- Temperature neutrality and Irish methane policy J. Wheatley 10.1080/14693062.2023.2191921
- Climate uncertainty impacts on optimal mitigation pathways and social cost of carbon C. Smith et al. 10.1088/1748-9326/acedc6
- Spatio-temporal quantile regression analysis revealing more nuanced patterns of climate change: A study of long-term daily temperature in Australia Q. Duan et al. 10.1371/journal.pone.0271457
3 citations as recorded by crossref.
- Showcasing MESMER‐X: Spatially Resolved Emulation of Annual Maximum Temperatures of Earth System Models Y. Quilcaille et al. 10.1029/2022GL099012
- Stringent mitigation substantially reduces risk of unprecedented near-term warming rates C. McKenna et al. 10.1038/s41558-020-00957-9
- Quantifying airborne fraction trends and the destination of anthropogenic CO2 by tracking carbon flows in a simple climate model L. Pressburger et al. 10.1088/1748-9326/acca35
Latest update: 13 Dec 2024
Short summary
Computational limits mean that we cannot run our most comprehensive climate models for all applications of interest. In such cases, reduced complexity models (RCMs) are used. Here, researchers working on 15 different models present the first systematic community effort to evaluate and compare RCMs: the Reduced Complexity Model Intercomparison Project (RCMIP). Our research ensures that users of RCMs can more easily evaluate the strengths, weaknesses and limitations of their tools.
Computational limits mean that we cannot run our most comprehensive climate models for all...
