Articles | Volume 12, issue 2
https://doi.org/10.5194/gmd-12-735-2019
https://doi.org/10.5194/gmd-12-735-2019
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, Thomas Mendlik, Jan Koláček, Ivanka Horová, and Jiří Mikšovský

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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
AR by Eva Holtanova on behalf of the Authors (01 Feb 2019)  Manuscript 
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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.