Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 12, issue 7
Articles | Volume 12, issue 7
https://doi.org/10.5194/gmd-12-3017-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-3017-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 12, issue 7
Development and technical paper
 | 
17 Jul 2019
Development and technical paper |  | 17 Jul 2019

Reducing climate model biases by exploring parameter space with large ensembles of climate model simulations and statistical emulation

Sihan Li, David E. Rupp, Linnia Hawkins, Philip W. Mote, Doug McNeall, Sarah N. Sparrow, David C. H. Wallom, Richard A. Betts, and Justin J. Wettstein

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Short summary
Understanding the unfolding challenges of climate change relies on climate models, many of which have regional biases larger than the expected climate signal over the next half-century. This work shows the potential for improving climate model simulations through a multiphased parameter refinement approach. Regional warm biases are substantially reduced, suggesting this iterative approach is one path to improving climate models and simulations of present and future climate.
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