Tuning without over-tuning: parametric uncertainty quantification for the NEMO ocean model
In this paper we discuss climate model tuning and present an iterative automatic tuning method from the statistical science literature. The method, which we refer to here as <i>iterative refocussing</i> (though also known as history matching), avoids many of the common pitfalls of automa...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2017-04-01
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| Series: | Geoscientific Model Development |
| Online Access: | http://www.geosci-model-dev.net/10/1789/2017/gmd-10-1789-2017.pdf |