Articles | Volume 8, issue 4
https://doi.org/10.5194/esd-8-1093-2017
https://doi.org/10.5194/esd-8-1093-2017
Research article
 | 
05 Dec 2017
Research article |  | 05 Dec 2017

The potential of using remote sensing data to estimate air–sea CO2 exchange in the Baltic Sea

Gaëlle Parard, Anna Rutgersson, Sindu Raj Parampil, and Anastase Alexandre Charantonis

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (21 Jul 2017) by Benjamin Smith
AR by Gaelle Parard on behalf of the Authors (13 Sep 2017)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (15 Sep 2017) by Benjamin Smith
RR by Anonymous Referee #2 (04 Oct 2017)
ED: Publish subject to technical corrections (11 Oct 2017) by Benjamin Smith
AR by Gaelle Parard on behalf of the Authors (19 Oct 2017)  Manuscript 
Download
Short summary
Coastal environments and shelf sea represent 7.6 % of the total oceanic surface area. They are, however, biogeochemically more dynamic and probably more vulnerable to climate change than the open ocean. Whatever the responses of the open ocean to climate change, they will propagate to the coastal ocean. We used the self-organizing multiple linear output (SOMLO) method to estimate the ocean surface pCO2 in the Baltic Sea from remotely sensed measurements and we estimated the air–sea CO2 flux.
Altmetrics
Final-revised paper
Preprint