Using ground-penetrating radar, topography and classification of vegetation to model the sediment and active layer thickness in a periglacial lake catchment, western Greenland

Petrone, Johannes; Sohlenius, Gustav; Johansson, Emma; Lindborg, Tobias; Näslund, Jens-Ove; Strömgren, Mårten; Brydsten, Lars

doi:https://doi.org/10.5194/essd-8-663-2016

Articles | Volume 8, issue 2

https://doi.org/10.5194/essd-8-663-2016

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

https://doi.org/10.5194/essd-8-663-2016

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

Articles | Volume 8, issue 2

23 Nov 2016

| 23 Nov 2016

Using ground-penetrating radar, topography and classification of vegetation to model the sediment and active layer thickness in a periglacial lake catchment, western Greenland

Johannes Petrone, Gustav Sohlenius, Emma Johansson, Tobias Lindborg, Jens-Ove Näslund, Mårten Strömgren, and Lars Brydsten

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Final revised paper (published on 23 Nov 2016)
Preprint (discussion started on 05 Jul 2016)

Interactive discussion

Status: closed

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

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RC1: 'Suggested revisions', Anonymous Referee #1, 22 Jul 2016
- AC1: 'Author’s response on comments from R1 (Anonymous Referee #1)', J. Petrone, 13 Sep 2016
RC2: 'Comment', Anonymous Referee #2, 02 Aug 2016
- AC2: 'Author’s response on comments from R2 (Anonymous Referee #2)', J. Petrone, 13 Sep 2016
RC3: 'Referee comments and suggested revisions', Jon Engström, 29 Aug 2016
- AC3: 'Author’s response on comments from R3 (Jon Engström)', J. Petrone, 13 Sep 2016
AC4: 'Updated Figure 8', J. Petrone, 11 Oct 2016

Short summary

This paper presents data and resulting models of spatial distributions of maximum active layer thickness and sediment thickness and their connection to surface vegetation and topography from the Kangerlussuaq region, western Greenland. The data set constitutes geometrical information and will be used in coupled hydrological and biogeochemical modeling together with previous published hydrological data (doi:10.5194/essd-7-93-2015, 2015) and biogeochemical data (doi:10.5194/essd-8-439-2016, 2016).