Articles | Volume 25, issue 2
https://doi.org/10.5194/npg-25-387-2018
https://doi.org/10.5194/npg-25-387-2018
Research article
 | 
28 May 2018
Research article |  | 28 May 2018

Exploring the Lyapunov instability properties of high-dimensional atmospheric and climate models

Lesley De Cruz, Sebastian Schubert, Jonathan Demaeyer, Valerio Lucarini, and Stéphane Vannitsem

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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 Lesley De Cruz on behalf of the Authors (23 Apr 2018)  Author's response   Manuscript 
ED: Publish as is (28 Apr 2018) by Juan Manuel Lopez
AR by Lesley De Cruz on behalf of the Authors (02 May 2018)
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Short summary
The predictability of weather models is limited largely by the initial state error growth or decay rates. We have computed these rates for PUMA, a global model for the atmosphere, and MAOOAM, a more simplified, coupled model which includes the ocean. MAOOAM has processes at distinct timescales, whereas PUMA surprisingly does not. We propose a new programme to compute the natural directions along the flow that correspond to the growth or decay rates, to learn which components play a role.