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Earth System Science Data The data publishing journal
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Volume 9, issue 1
Earth Syst. Sci. Data, 9, 281–292, 2017
https://doi.org/10.5194/essd-9-281-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Earth Syst. Sci. Data, 9, 281–292, 2017
https://doi.org/10.5194/essd-9-281-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Review article 15 May 2017

Review article | 15 May 2017

An open-access CMIP5 pattern library for temperature and precipitation: description and methodology

Cary Lynch et al.

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Short summary
Pattern scaling climate model output is a computationally efficient way to produce a large amount of data for purposes of uncertainty quantification. Using a multi-model ensemble we explore pattern scaling methodologies across two future forcing scenarios. We find that the simple least squares approach to pattern scaling produces a close approximation of actual model output, and we use this as a justification for the creation of an open-access pattern library at multiple time increments.
Pattern scaling climate model output is a computationally efficient way to produce a large...
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