Map-based prediction of organic carbon in headwater streams improved by  downstream observations from the river outlet

Temnerud, J.; von Brömssen, C.; Fölster, J.; Buffam, I.; Andersson, J.-O.; Nyberg, L.; Bishop, K.

doi:https://doi.org/10.5194/bg-13-399-2016

Articles | Volume 13, issue 2

https://doi.org/10.5194/bg-13-399-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/bg-13-399-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 13, issue 2

Research article

|

21 Jan 2016

Research article |

| 21 Jan 2016

Map-based prediction of organic carbon in headwater streams improved by downstream observations from the river outlet

J. Temnerud, C. von Brömssen, J. Fölster, I. Buffam, J.-O. Andersson, L. Nyberg, and K. Bishop

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Final revised paper (published on 21 Jan 2016)
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Preprint (discussion started on 16 Jun 2015)
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Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC C3893: 'Loosing scope of what is promised in the title and the hypothesis', Anonymous Referee #1, 29 Jul 2015
- AC C6310: 'Response to Review 1', Johan Temnerud, 08 Oct 2015
RC C4840: 'Review of the manuscript “Map-based prediction of organic carbon in headwaters streams improved by downstream observations from the river outlet”', Anonymous Referee #2, 31 Aug 2015
- AC C6312: 'Response to Review 2', Johan Temnerud, 08 Oct 2015

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Reconsider after major revisions (05 Nov 2015) by Tom J. Battin

AR by Johan Temnerud on behalf of the Authors (15 Dec 2015) Author's response Manuscript

ED: Publish as is (28 Dec 2015) by Tom J. Battin

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Short summary

In this study we test whether river outlet chemistry can be used as an additional source of information to improve the prediction of the total organic carbon (TOC) of headwaters, relative to models based on map information alone. Including river outlet TOC as a predictor in the models gave 5-15 % lower prediction errors than using map information alone. Thus, data on water chemistry measured at river outlets offer information which can complement GIS-based modelling of headwaters chemistry.