Articles | Volume 17, issue 17
https://doi.org/10.5194/gmd-17-6589-2024
https://doi.org/10.5194/gmd-17-6589-2024
Model description paper
 | 
05 Sep 2024
Model description paper |  | 05 Sep 2024

CICERO Simple Climate Model (CICERO-SCM v1.1.1) – an improved simple climate model with a parameter calibration tool

Marit Sandstad, Borgar Aamaas, Ane Nordlie Johansen, Marianne Tronstad Lund, Glen Philip Peters, Bjørn Hallvard Samset, Benjamin Mark Sanderson, and Ragnhild Bieltvedt Skeie

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Cited articles

Aamaas, B., Peters, G. P., and Fuglestvedt, J. S.: Simple emission metrics for climate impacts, Earth Syst. Dynam., 4, 145–170, https://doi.org/10.5194/esd-4-145-2013, 2013. 
Aldrin, M., Holden, M., Guttorp, P., Skeie, R. B., Myhre, G., and Berntsen, T. K.: Bayesian estimation of climate sensitivity based on a simple climate model fitted to observations of hemispheric temperatures and global ocean heat content, Environmetrics, 23, 253–271, https://doi.org/10.1002/env.2140, 2012. 
Alfsen, K. H. and Berntsen, T. K.: An efficient and accurate carbon cycle model for use in simple climate models, CICERO Center for International Climate and Environmental Research, Oslo, http://hdl.handle.net/11250/192446 (last access: 28 August 2024), 1999. 
Atjay, G. L., Ketner, P., and Duvigneaud, P.: Terrestrial primary production and phytomass, in: The Global Carbon Cycle, edited by: Bolin, B., Degens, E. T., Kempe, S., and Ketner, P., Wiley & Sons, Chichester, 129–181, ISBN 0-471-99710-2, 1979. 
Balaji, V., Maisonnave, E., Zadeh, N., Lawrence, B. N., Biercamp, J., Fladrich, U., Aloisio, G., Benson, R., Caubel, A., Durachta, J., Foujols, M.-A., Lister, G., Mocavero, S., Underwood, S., and Wright, G.: CPMIP: measurements of real computational performance of Earth system models in CMIP6, Geosci. Model Dev., 10, 19–34, https://doi.org/10.5194/gmd-10-19-2017, 2017. 
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Short summary
The CICERO-SCM has existed as a Fortran model since 1999 that calculates the radiative forcing and concentrations from emissions and is an upwelling diffusion energy balance model of the ocean that calculates temperature change. In this paper, we describe an updated version ported to Python and publicly available at https://github.com/ciceroOslo/ciceroscm (https://doi.org/10.5281/zenodo.10548720). This version contains functionality for parallel runs and automatic calibration.