Articles | Volume 13, issue 1
Earth Syst. Sci. Data, 13, 83–97, 2021
https://doi.org/10.5194/essd-13-83-2021

Special issue: Linking landscape organisation and hydrological functioning:...

Earth Syst. Sci. Data, 13, 83–97, 2021
https://doi.org/10.5194/essd-13-83-2021

Data description paper 20 Jan 2021

Data description paper | 20 Jan 2021

EstSoil-EH: a high-resolution eco-hydrological modelling parameters dataset for Estonia

Alexander Kmoch 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
AR by Lorena Grabowski on behalf of the Authors (25 Feb 2020)  Author's response
ED: Referee Nomination & Report Request started (25 Feb 2020) by Conrad Jackisch
RR by Anonymous Referee #2 (11 Mar 2020)
RR by Anonymous Referee #3 (17 May 2020)
ED: Reconsider after major revisions (17 May 2020) by Conrad Jackisch
AR by Anna Wenzel on behalf of the Authors (21 Aug 2020)  Author's response    Manuscript
ED: Reconsider after major revisions (24 Aug 2020) by Conrad Jackisch
AR by Alexander Kmoch on behalf of the Authors (06 Oct 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (08 Oct 2020) by Conrad Jackisch
RR by Anonymous Referee #2 (29 Oct 2020)
RR by Anonymous Referee #3 (30 Oct 2020)
ED: Publish subject to minor revisions (review by editor) (30 Oct 2020) by Conrad Jackisch
AR by Alexander Kmoch on behalf of the Authors (10 Nov 2020)  Author's response    Manuscript
ED: Publish subject to technical corrections (19 Nov 2020) by Conrad Jackisch
AR by Alexander Kmoch on behalf of the Authors (26 Nov 2020)  Author's response    Manuscript
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Short summary
The Soil Map of Estonia is the most detailed and information-rich dataset for soils in Estonia. But its information is not immediately usable for analyses or modelling. We derived parameters including soil layering, soil texture (clay, silt, and sand content), coarse fragments, and rock content and aggregated and predicted physical variables related to water and carbon cycles (bulk density, hydraulic conductivity, organic carbon content, available water capacity).