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Article . 2019
License: CC BY
Data sources: Datacite
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Article . 2019
License: CC BY
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Article . 2019
License: CC BY
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Bayesian inference of subglacial channel structures from water pressure and tracer transit-time data: A numerical study based on a 2-D geostatistical modelling approach

descriptionPublicationkeyboard_double_arrow_right Article 14 Mar 2019 English Publisher:Zenodo
Authors: Irarrazaval, Inigo;

doi: 10.5281/zenodo.2593785 , 10.5281/zenodo.2593784

Bayesian inference of subglacial channel structures from water pressure and tracer transit-time data: A numerical study based on a 2-D geostatistical modelling approach

Abstract

Data repository: Bayesian inference of subglacial channel structures from water pressure and tracer transit-time data: A numerical study based on a 2-D geostatistical modelling approach. Included data: Parameter posterior distribution for cases A4, A5 and B3. Random sample posterior models for cases A4, A5 and B3.

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Keywords

subglacial hydrology

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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