Journal cover Journal topic
Biogeosciences An interactive open-access journal of the European Geosciences Union
Journal topic
BG | Volume 15, issue 21
Biogeosciences, 15, 6685-6711, 2018
https://doi.org/10.5194/bg-15-6685-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Biogeosciences, 15, 6685-6711, 2018
https://doi.org/10.5194/bg-15-6685-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 12 Nov 2018

Research article | 12 Nov 2018

A perturbed biogeochemistry model ensemble evaluated against in situ and satellite observations

Prima Anugerahanti et al.
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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (11 Jun 2018) by Katja Fennel
AR by Prima Anugerahanti on behalf of the Authors (28 Jun 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (29 Jun 2018) by Katja Fennel
RR by Anonymous Referee #1 (12 Jul 2018)
RR by Anonymous Referee #2 (23 Jul 2018)
RR by Anonymous Referee #3 (04 Aug 2018)
ED: Reconsider after major revisions (08 Aug 2018) by Katja Fennel
AR by Prima Anugerahanti on behalf of the Authors (30 Aug 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (12 Sep 2018) by Katja Fennel
RR by Anonymous Referee #2 (28 Sep 2018)
ED: Publish subject to minor revisions (review by editor) (03 Oct 2018) by Katja Fennel
AR by Prima Anugerahanti on behalf of the Authors (16 Oct 2018)  Author's response    Manuscript
ED: Publish as is (23 Oct 2018) by Katja Fennel
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Short summary
Minor changes in the biogeochemical model equations lead to major dynamical changes. We assessed this structural sensitivity for the MEDUSA biogeochemical model on chlorophyll and nitrogen concentrations at five oceanographic stations over 10 years, using 1-D ensembles generated by combining different process equations. The ensemble performed better than the default model in most of the stations, suggesting that our approach is useful for generating a probabilistic biogeochemical ensemble model.
Minor changes in the biogeochemical model equations lead to major dynamical changes. We assessed...
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