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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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GMD | Articles | Volume 12, issue 2
Geosci. Model Dev., 12, 735-747, 2019
https://doi.org/10.5194/gmd-12-735-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 12, 735-747, 2019
https://doi.org/10.5194/gmd-12-735-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Methods for assessment of models 19 Feb 2019

Methods for assessment of models | 19 Feb 2019

Similarities within a multi-model ensemble: functional data analysis framework

Eva Holtanová et al.
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Eva Holtanova on behalf of the Authors (29 Oct 2018)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (26 Nov 2018) by Steve Easterbrook
AR by Eva Holtanova on behalf of the Authors (03 Dec 2018)  Author's response    Manuscript
ED: Publish as is (28 Jan 2019) by Steve Easterbrook
Publications Copernicus
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Short summary
We present a methodological framework for the analysis of climate model uncertainty based on the functional data analysis approach, an emerging statistical field. The novel method investigates the multi-model spread, taking into account the behavior of entire simulated climatic time series, encompassing both past and future periods. We also introduce an innovative way of visualizing climate model similarities based on a network spatialization algorithm that enables an unambiguous interpretation.
We present a methodological framework for the analysis of climate model uncertainty based on the...
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