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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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HESS | Articles | Volume 23, issue 3
Hydrol. Earth Syst. Sci., 23, 1633-1648, 2019
https://doi.org/10.5194/hess-23-1633-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 23, 1633-1648, 2019
https://doi.org/10.5194/hess-23-1633-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 20 Mar 2019

Research article | 20 Mar 2019

Geostatistical interpolation by quantile kriging

Henning Lebrenz and András Bárdossy
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (27 Aug 2018) by Sally Thompson
AR by Henning Lebrenz on behalf of the Authors (16 Nov 2018)  Author's response    Manuscript
ED: Publish subject to revisions (further review by editor and referees) (21 Nov 2018) by Sally Thompson
ED: Referee Nomination & Report Request started (02 Jan 2019) by Sally Thompson
RR by Marc F. Muller (07 Feb 2019)
ED: Publish subject to minor revisions (review by editor) (20 Feb 2019) by Sally Thompson
AR by Anna Wenzel on behalf of the Authors (04 Mar 2019)  Author's response
ED: Publish as is (05 Mar 2019) by Sally Thompson
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Short summary
Many variables, e.g., in hydrology, geology, and social sciences, are only observed at a few distinct measurement locations, and their actual distribution in the entire space remains unknown. We introduce the new geostatistical interpolation method of quantile kriging, providing an improved estimator and associated uncertainty. It can also host variables, which would not fulfill the implicit presumptions of the traditional geostatistical interpolation methods.
Many variables, e.g., in hydrology, geology, and social sciences, are only observed at a few...
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