Articles | Volume 17, issue 9
https://doi.org/10.5194/gmd-17-3919-2024
https://doi.org/10.5194/gmd-17-3919-2024
Model evaluation paper
 | 
15 May 2024
Model evaluation paper |  | 15 May 2024

Systematic and objective evaluation of Earth system models: PCMDI Metrics Package (PMP) version 3

Jiwoo Lee, Peter J. Gleckler, Min-Seop Ahn, Ana Ordonez, Paul A. Ullrich, Kenneth R. Sperber, Karl E. Taylor, Yann Y. Planton, Eric Guilyardi, Paul Durack, Celine Bonfils, Mark D. Zelinka, Li-Wei Chao, Bo Dong, Charles Doutriaux, Chengzhu Zhang, Tom Vo, Jason Boutte, Michael F. Wehner, Angeline G. Pendergrass, Daehyun Kim, Zeyu Xue, Andrew T. Wittenberg, and John Krasting

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Cited articles

Adler, R. F., Sapiano, M. R., Huffman, G. J., Wang, J. J., Gu, G., Bolvin, D., Chiu, L., Schneider, U., Becker, A., Nelkin, E., Xie, P., Ferraro, R., and Shin, D.-B.: The Global Precipitation Climatology Project (GPCP) monthly analysis (new version 2.3) and a review of 2017 global precipitation. Atmosphere, 9, 138, https://doi.org/10.3390/atmos9040138, 2018. 
Ahn, M.-S., Kim, D. H., Sperber, K. R., Kang, I.-S., Maloney, E. D., Waliser, D. E., and Hendon, H. H.: MJO simulation in CMIP5 climate models: MJO skill metrics and process-oriented diagnosis, Clim. Dynam., 49, 4023–4045, https://doi.org/10.1007/s00382-017-3558-4, 2017. 
Ahn, M.-S., Gleckler, P. J., Lee, J., Pendergrass, A. G., and Jakob, C.: Benchmarking Simulated Precipitation Variability Amplitude across Time Scales, J. Climate, 35, 3173–3196, https://doi.org/10.1175/jcli-d-21-0542.1, 2022. 
Ahn, M.-S., Ullrich, P. A., Gleckler, P. J., Lee, J., Ordonez, A. C., and Pendergrass, A. G.: Evaluating precipitation distributions at regional scales: a benchmarking framework and application to CMIP5 and 6 models, Geosci. Model Dev., 16, 3927–3951, https://doi.org/10.5194/gmd-16-3927-2023, 2023. 
Anaconda pcmdi_metrics: https://anaconda.org/conda-forge/pcmdi_metrics, last access: 8 May 2024. 
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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.
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