Climate models have increased in complexity over time as more processes have been included. Now we need to return to the underpinning basics in the models and ensure they are the best they can be.
References
Holton, J. R. & Hakim, G. J. An Introduction to Dynamic Meteorology (Elsevier, 2012).
Haltiner, G. J. & Williams, R. T. Numerical Prediction and Dynamic Meteorology (Wiley, 1980).
Stensrud, D. J. Parameterization Schemes — Keys to Understanding Numerical Weather Prediction Models (Cambridge Univ. Press, 2007).
Mauritsen, T. et al. J. Adv. Model. Earth Syst. 4, M00A01 (2012).
Implementation Plan of the Global Framework for Climate Services (World Meteorological Organization, 2014).
Flato, G. M. et al. in Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.) 741–866 (IPCC, Cambridge Univ. Press, 2013).
Reichler, T. & Kim, J. Bull. Am. Meteorol. Soc. 89, 303–311 (2008).
Stevens, B. & Bony, S. Science 340, 1053–1054 (2013).
Dufresne, J-L. & Bony, S. J. Clim. 21, 5135–5144 (2008).
Stephens, G. L. et al. J. Geophys. Res. 115, D24211 (2010).
Jakob, C. Bull. Am. Meteorol. Soc. 91, 869–875 (2010).
Medeiros, B., Stevens, B. & Bony, S. Clim. Dynam. http://dx.doi.org/10.1007/s00382-014-2138-0 (2014).
Acknowledgements
This commentary is the result of many discussions with colleagues and friends. I'd like to thank all of them, none more so than Bjorn Stevens, Pier Siebesma and Sandrine Bony.
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Jakob, C. Going back to basics. Nature Clim Change 4, 1042–1045 (2014). https://doi.org/10.1038/nclimate2445
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DOI: https://doi.org/10.1038/nclimate2445
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