Articles | Volume 18, issue 19
https://doi.org/10.5194/gmd-18-6701-2025
https://doi.org/10.5194/gmd-18-6701-2025
Methods for assessment of models
 | 
01 Oct 2025
Methods for assessment of models |  | 01 Oct 2025

An information-theoretic approach to obtain ensemble averages from Earth system models

Carlos A. Sierra and Estefanía Muñoz

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Cited articles

Akaike, H.: A new look at the statistical model identification, IEEE Transactions on Automatic Control, 19, 716–723, https://doi.org/10.1109/TAC.1974.1100705, 1974. a, b, c
Akaike, H.: Likelihood of a model and information criteria, Journal of Econometrics, 16, 3–14, https://doi.org/10.1016/0304-4076(81)90071-3, 1981. a, b, c
Akaike, H.: Prediction and Entropy, in: A Celebration of Statistics, edited by: Atkinson, A. C. and Fienberg, S. E., 1–24, Springer, New York, NY, ISBN 978-1-4613-8560-8, 1985. a
Anderson, D. R.: Model based inference in the life sciences: a primer on evidence, Springer Science & Business Media, https://doi.org/10.1007/978-0-387-74075-1, 2007. a, b
Bonamente, M.: Statistics and Analysis of Scientific Data, Graduate Texts in Physics, Springer Nature Singapore, Singapore, ISBN 978-981-19-0365-6, https://doi.org/10.1007/978-981-19-0365-6, 2022. a, b
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Short summary
We propose an approach to obtain weights for calculating averages of variables from Earth system models (ESM) based on concepts from information theory. It quantifies a relative distance between model output and reality, even though it is impossible to know the absolute distance from model predictions to reality. The relative ranking among models is based on concepts of model selection and multi-model averages previously developed for simple statistical models, but adapted here for ESMs.
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