Articles | Volume 18, issue 17
https://doi.org/10.5194/gmd-18-5451-2025
https://doi.org/10.5194/gmd-18-5451-2025
Development and technical paper
 | 
01 Sep 2025
Development and technical paper |  | 01 Sep 2025

Implementation and validation of a supermodeling framework into Community Earth System Model version 2.1.5

William E. Chapman, Francine Schevenhoven, Judith Berner, Noel Keenlyside, Ingo Bethke, Ping-Gin Chiu, Alok Gupta, and Jesse Nusbaumer

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Cited articles

Adler, R. F., Huffman, G. J., Chang, A., Ferraro, R., Xie, P., Janowiak, J., Rudolf, B., Schneider, U., Curtis, S., Bolvin, D., Gruber, A., Susskind, J., and Arkin, P.: The Version 2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979–Present), J. Hydrometeorol., 4, 1147–1167, https://doi.org/10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2, 2003 (data available at: https://psl.noaa.gov/data/gridded/data.gpcp.html). a, b
AMWG: AMWG Diagnostics Package, NCAR CESM Atmosphere Model Working Group, GitHub [code], https://github.com/NCAR/ADF (last access: 15 Janury 2024), 2022. a
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Berner, J., Doblas-Reyes, F. J., Palmer, T. N., Shutts, G., and Weisheimer, A.: Impact of a quasi-stochastic cellular automaton backscatter scheme on the systematic error and seasonal prediction skill of a global climate model, Philos. T. R. Soc. A, 366, 2559–2577, 2008. a
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We introduce the first state-of-the-art atmosphere-connected supermodel, where two advanced atmospheric models share information in real time to form a new dynamical system. By synchronizing the models, particularly in storm track regions, we achieve better predictions without losing variability. This approach maintains key climate patterns and reduces bias in some variables compared to traditional models, demonstrating a useful technique for improving atmospheric simulations.
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