Articles | Volume 17, issue 9
Model description paper
14 May 2024
Model description paper |  | 14 May 2024

A radiative–convective model computing precipitation with the maximum entropy production hypothesis

Quentin Pikeroen, Didier Paillard, and Karine Watrin

Related authors

Deglacial climate changes as forced by different ice sheet reconstructions
Nathaelle Bouttes, Fanny Lhardy, Aurélien Quiquet, Didier Paillard, Hugues Goosse, and Didier M. Roche
Clim. Past, 19, 1027–1042,,, 2023
Short summary
Multi-million-year cycles in modelled δ13C as a response to astronomical forcing of organic matter fluxes
Gaëlle Leloup and Didier Paillard
Earth Syst. Dynam., 14, 291–307,,, 2023
Short summary
Influence of the choice of insolation forcing on the results of a conceptual glacial cycle model
Gaëlle Leloup and Didier Paillard
Clim. Past, 18, 547–558,,, 2022
Short summary
Impact of Southern Ocean surface conditions on deep ocean circulation during the LGM: a model analysis
Fanny Lhardy, Nathaëlle Bouttes, Didier M. Roche, Xavier Crosta, Claire Waelbroeck, and Didier Paillard
Clim. Past, 17, 1139–1159,,, 2021
Short summary
A radiative-convective model based on constrained maximum entropy production
Vincent Labarre, Didier Paillard, and Bérengère Dubrulle
Earth Syst. Dynam., 10, 365–378,,, 2019
Short summary

Related subject area

Climate and Earth system modeling
LB-SCAM: a learning-based method for efficient large-scale sensitivity analysis and tuning of the Single Column Atmosphere Model (SCAM)
Jiaxu Guo, Juepeng Zheng, Yidan Xu, Haohuan Fu, Wei Xue, Lanning Wang, Lin Gan, Ping Gao, Wubing Wan, Xianwei Wu, Zhitao Zhang, Liang Hu, Gaochao Xu, and Xilong Che
Geosci. Model Dev., 17, 3975–3992,,, 2024
Short summary
Quantifying the impact of SST feedback frequency on Madden–Julian oscillation simulations
Yung-Yao Lan, Huang-Hsiung Hsu, and Wan-Ling Tseng
Geosci. Model Dev., 17, 3897–3918,,, 2024
Short summary
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
Geosci. Model Dev., 17, 3919–3948,,, 2024
Short summary
A revised model of global silicate weathering considering the influence of vegetation cover on erosion rate
Haoyue Zuo, Yonggang Liu, Gaojun Li, Zhifang Xu, Liang Zhao, Zhengtang Guo, and Yongyun Hu
Geosci. Model Dev., 17, 3949–3974,,, 2024
Short summary
Leveraging regional mesh refinement to simulate future climate projections for California using the Simplified Convection-Permitting E3SM Atmosphere Model Version 0
Jishi Zhang, Peter Bogenschutz, Qi Tang, Philip Cameron-smith, and Chengzhu Zhang
Geosci. Model Dev., 17, 3687–3731,,, 2024
Short summary

Cited articles

Adler, R. F., Huffman, G. J., Chang, A., Ferraro, R., Xie, P.-P., Janowiak, J., Rudolf, B., Schneider, U., Curtis, S., Bolvin, D., Gruber, A., Susskind, J., Arkin, P., and Nelkin, E.: The Version-2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979–Present), J. Hydrometeorol., 4, 1147–1167,<1147:TVGPCP>2.0.CO;2, 2003. a
Betts, A. K. and Ridgway, W.: Coupling of the Radiative, Convective, and Surface Fluxes over the Equatorial Pacific, J. Atmos. Sci., 45, 522–536,<0522:COTRCA>2.0.CO;2, 1988. a
Dewar, R.: Information theory explanation of the fluctuation theorem, maximum entropy production and self-organized criticality in non-equilibrium stationary states, J. Phys. A-Math. Gen., 36, 631,, 2003. a
Dewar, R. C.: Maximum entropy production and the fluctuation theorem, J. Phys. A-Math. Gen., 38, L371,, 2005. a
Dewar, R. C.: Maximum entropy production as an inference algorithm that translates physical assumptions into macroscopic predictions: Don’t shoot the messenger, Entropy, 11, 931–944, 2009. a
Short summary
All accurate climate models use equations with poorly defined parameters, where knobs for the parameters are turned to fit the observations. This process is called tuning. In this article, we use another paradigm. We use a thermodynamic hypothesis, the maximum entropy production, to compute temperatures, energy fluxes, and precipitation, where tuning is impossible. For now, the  1D vertical model is used for a tropical atmosphere. The correct order of magnitude of precipitation is computed.