Articles | Volume 15, issue 20
Biogeosciences, 15, 6151–6165, 2018
https://doi.org/10.5194/bg-15-6151-2018
Biogeosciences, 15, 6151–6165, 2018
https://doi.org/10.5194/bg-15-6151-2018

Research article 19 Oct 2018

Research article | 19 Oct 2018

Contextualizing time-series data: quantification of short-term regional variability in the San Pedro Channel using high-resolution in situ glider data

Elizabeth N. Teel et al.

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Interactive discussion

Status: closed
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 (03 Apr 2018) by Tina Treude
AR by Naomi Levine on behalf of the Authors (31 May 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (08 Jun 2018) by Tina Treude
RR by Anonymous Referee #2 (21 Aug 2018)
RR by Anonymous Referee #1 (24 Aug 2018)
ED: Publish subject to minor revisions (review by editor) (28 Aug 2018) by Tina Treude
AR by Natascha Töpfer on behalf of the Authors (19 Sep 2018)  Author's response
ED: Publish subject to technical corrections (24 Sep 2018) by Tina Treude
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Short summary
Time-series sites have been instrumental in providing insight into how the ocean functions. However, to extrapolate the results from a single site to a larger region, the dynamics at the site must be placed into the context of regional-scale dynamics. We develop a framework for determining the spatial domain of a time-series site using high-resolution data. This framework quantifies the representativeness of the site and can be used to improve sampling to better capture the dynamics at the site.
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