Articles | Volume 17, issue 9
https://doi.org/10.5194/gmd-17-3919-2024
© Author(s) 2024. 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-17-3919-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
15 May 2024
Model evaluation paper |
| 15 May 2024
| 15 May 2024
Systematic and objective evaluation of Earth system models: PCMDI Metrics Package (PMP) version 3
Lawrence Livermore National Laboratory, Livermore, CA, USA
Peter J. Gleckler
Lawrence Livermore National Laboratory, Livermore, CA, USA
Min-Seop Ahn
NASA Goddard Space Flight Center, Greenbelt, MD, USA
ESSIC, University of Maryland, College Park, MD, USA
Ana Ordonez
Lawrence Livermore National Laboratory, Livermore, CA, USA
Paul A. Ullrich
Lawrence Livermore National Laboratory, Livermore, CA, USA
Department of Land, Air and Water Resources, University of California, Davis, Davis, CA, USA
Kenneth R. Sperber
Lawrence Livermore National Laboratory, Livermore, CA, USA
retired
Karl E. Taylor
Lawrence Livermore National Laboratory, Livermore, CA, USA
Yann Y. Planton
NOAA Pacific Marine Environmental Laboratory, Seattle, WA, USA
School of Earth Atmosphere and Environment, Monash University, Clayton, VIC, Australia
Eric Guilyardi
LOCEAN-IPSL, CNRS-IRD-MNHN-Sorbonne Université, Paris, France
National Centre for Atmospheric Science – Climate, University of Reading, Reading, UK
Paul Durack
Lawrence Livermore National Laboratory, Livermore, CA, USA
Celine Bonfils
Lawrence Livermore National Laboratory, Livermore, CA, USA
Mark D. Zelinka
Lawrence Livermore National Laboratory, Livermore, CA, USA
Li-Wei Chao
Lawrence Livermore National Laboratory, Livermore, CA, USA
Bo Dong
Lawrence Livermore National Laboratory, Livermore, CA, USA
Charles Doutriaux
Lawrence Livermore National Laboratory, Livermore, CA, USA
Chengzhu Zhang
Lawrence Livermore National Laboratory, Livermore, CA, USA
Tom Vo
Lawrence Livermore National Laboratory, Livermore, CA, USA
Jason Boutte
Lawrence Livermore National Laboratory, Livermore, CA, USA
Michael F. Wehner
Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Angeline G. Pendergrass
Department of Earth and Atmospheric Science, Cornell University, Ithaca, NY, USA
National Center for Atmospheric Research, Boulder, CO, USA
Daehyun Kim
School of Earth and Environmental Sciences, Seoul National University, Seoul, South Korea
Pacific Northwest National Laboratory, Richland, WA, USA
Andrew T. Wittenberg
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
John Krasting
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
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Cited
6 citations as recorded by crossref.
- Bimodality in simulated precipitation frequency distributions and its relationship with convective parameterizations M. Ahn et al. 10.1038/s41612-024-00685-3
- Climate classification systems for validating Earth System Models A. Navarro & F. Tapiador 10.1088/2752-5295/ad6632
- A deep-learning-based consistency test approach for Earth system models on HPC systems Y. Yu et al. 10.1016/j.isci.2024.111574
- How climate change intensified storm Boris’ extreme rainfall, revealed by near-real-time storylines M. Athanase et al. 10.1038/s43247-024-01847-0
- xCDAT: A Python Package for Simple and Robust Analysis of Climate Data T. Vo et al. 10.21105/joss.06426
- The observation range adjusted method: a novel approach to accounting for observation uncertainty in model evaluation J. Evans & H. Imran 10.1088/2515-7620/ad5ad8
4 citations as recorded by crossref.
- Bimodality in simulated precipitation frequency distributions and its relationship with convective parameterizations M. Ahn et al. 10.1038/s41612-024-00685-3
- Climate classification systems for validating Earth System Models A. Navarro & F. Tapiador 10.1088/2752-5295/ad6632
- A deep-learning-based consistency test approach for Earth system models on HPC systems Y. Yu et al. 10.1016/j.isci.2024.111574
- How climate change intensified storm Boris’ extreme rainfall, revealed by near-real-time storylines M. Athanase et al. 10.1038/s43247-024-01847-0
2 citations as recorded by crossref.
Latest update: 21 Jan 2025
Short summary
We introduce an open-source software, the PCMDI Metrics Package (PMP), developed for a comprehensive comparison of Earth system models (ESMs) with real-world observations. Using diverse metrics evaluating climatology, variability, and extremes simulated in thousands of simulations from the Coupled Model Intercomparison Project (CMIP), PMP aids in benchmarking model improvements across generations. PMP also enables efficient tracking of performance evolutions during ESM developments.
We introduce an open-source software, the PCMDI Metrics Package (PMP), developed for a...
