Articles | Volume 12, issue 11
https://doi.org/10.5194/bg-12-3369-2015
https://doi.org/10.5194/bg-12-3369-2015
Research article
 | 
04 Jun 2015
Research article |  | 04 Jun 2015

Remote sensing the sea surface CO2 of the Baltic Sea using the SOMLO methodology

G. Parard, A. A. Charantonis, and A. Rutgerson

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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
AR by Gaëlle Parard on behalf of the Authors (10 Nov 2014)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (11 Nov 2014) by Christoph Garbe
RR by Anonymous Referee #2 (22 Nov 2014)
RR by Anonymous Referee #1 (24 Nov 2014)
ED: Reconsider after major revisions (11 Feb 2015) by Christoph Garbe
AR by Gaëlle Parard on behalf of the Authors (16 Mar 2015)  Manuscript 
ED: Referee Nomination & Report Request started (24 Mar 2015) by Christoph Garbe
RR by Anonymous Referee #2 (05 Apr 2015)
ED: Publish as is (07 May 2015) by Christoph Garbe
AR by Gaëlle Parard on behalf of the Authors (10 May 2015)  Manuscript 
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Short summary
In this paper, we used combines two existing methods (i.e. self-organizing maps and multiple linear regression) to estimate the ocean surface partial pressure of CO2 in the Baltic Sea from the remotely sensed sea surface temperature, chlorophyll, coloured dissolved organic matter, net primary production, and mixed-layer depth. The outputs of this research have a horizontal resolution of 4km and cover the 1998–2011 period. These outputs give a monthly map of the Baltic Sea.
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