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spelling ftfrontimediafig:oai:figshare.com:article/14563506 2023-05-15T16:38:17+02:00 Data_Sheet_1_Bayesian Inference of Ice Softness and Basal Sliding Parameters at Langjökull.ZIP Giri Gopalan Birgir Hrafnkelsson Guðfinna Aðalgeirsdóttir Finnur Pálsson 2021-05-10T04:58:59Z https://doi.org/10.3389/feart.2021.610069.s001 https://figshare.com/articles/dataset/Data_Sheet_1_Bayesian_Inference_of_Ice_Softness_and_Basal_Sliding_Parameters_at_Langj_kull_ZIP/14563506 unknown doi:10.3389/feart.2021.610069.s001 https://figshare.com/articles/dataset/Data_Sheet_1_Bayesian_Inference_of_Ice_Softness_and_Basal_Sliding_Parameters_at_Langj_kull_ZIP/14563506 CC BY 4.0 CC-BY Solid Earth Sciences Climate Science Atmospheric Sciences not elsewhere classified Exploration Geochemistry Inorganic Geochemistry Isotope Geochemistry Organic Geochemistry Geochemistry not elsewhere classified Igneous and Metamorphic Petrology Ore Deposit Petrology Palaeontology (incl. Palynology) Structural Geology Tectonics Volcanology Geology not elsewhere classified Seismology and Seismic Exploration Glaciology Hydrogeology Natural Hazards Quaternary Environments Earth Sciences not elsewhere classified Evolutionary Impacts of Climate Change surface velocity basal sliding data analysis-methods Bayesian inference ice properties Dataset 2021 ftfrontimediafig https://doi.org/10.3389/feart.2021.610069.s001 2021-05-12T22:58:57Z We develop Bayesian statistical models that are designed for the inference of ice softness and basal sliding parameters, important glaciological quantities. These models are applied to Langjökull, the second largest temperate ice cap in Iceland at about 900 squared kilometers in area. The models make use of a relationship between physical parameters and ice velocity as stipulated by a shallow ice approximation that is generally applicable to Langjökull. The posterior distribution for ice softness concentrates around 18.2 × 10 −25 s −1 Pa −3 moreover, spatially varying basal sliding parameters are inferred allowing for the decomposition of velocity into a deformation component and a sliding component, with spatial variation consistent with previous studies. Bayesian computation is conducted with a Gibbs sampling approach. The paper serves as an example of statistical inference for ice softness and basal sliding parameters at temperate, shallow glaciers using surface velocity data. Dataset Ice cap Iceland Langjökull Frontiers: Figshare Langjökull ENVELOPE(-20.145,-20.145,64.654,64.654)
institution Open Polar
collection Frontiers: Figshare
op_collection_id ftfrontimediafig
language unknown
topic Solid Earth Sciences
Climate Science
Atmospheric Sciences not elsewhere classified
Exploration Geochemistry
Inorganic Geochemistry
Isotope Geochemistry
Organic Geochemistry
Geochemistry not elsewhere classified
Igneous and Metamorphic Petrology
Ore Deposit Petrology
Palaeontology (incl. Palynology)
Structural Geology
Tectonics
Volcanology
Geology not elsewhere classified
Seismology and Seismic Exploration
Glaciology
Hydrogeology
Natural Hazards
Quaternary Environments
Earth Sciences not elsewhere classified
Evolutionary Impacts of Climate Change
surface velocity
basal sliding
data analysis-methods
Bayesian inference
ice properties
spellingShingle Solid Earth Sciences
Climate Science
Atmospheric Sciences not elsewhere classified
Exploration Geochemistry
Inorganic Geochemistry
Isotope Geochemistry
Organic Geochemistry
Geochemistry not elsewhere classified
Igneous and Metamorphic Petrology
Ore Deposit Petrology
Palaeontology (incl. Palynology)
Structural Geology
Tectonics
Volcanology
Geology not elsewhere classified
Seismology and Seismic Exploration
Glaciology
Hydrogeology
Natural Hazards
Quaternary Environments
Earth Sciences not elsewhere classified
Evolutionary Impacts of Climate Change
surface velocity
basal sliding
data analysis-methods
Bayesian inference
ice properties
Giri Gopalan
Birgir Hrafnkelsson
Guðfinna Aðalgeirsdóttir
Finnur Pálsson
Data_Sheet_1_Bayesian Inference of Ice Softness and Basal Sliding Parameters at Langjökull.ZIP
topic_facet Solid Earth Sciences
Climate Science
Atmospheric Sciences not elsewhere classified
Exploration Geochemistry
Inorganic Geochemistry
Isotope Geochemistry
Organic Geochemistry
Geochemistry not elsewhere classified
Igneous and Metamorphic Petrology
Ore Deposit Petrology
Palaeontology (incl. Palynology)
Structural Geology
Tectonics
Volcanology
Geology not elsewhere classified
Seismology and Seismic Exploration
Glaciology
Hydrogeology
Natural Hazards
Quaternary Environments
Earth Sciences not elsewhere classified
Evolutionary Impacts of Climate Change
surface velocity
basal sliding
data analysis-methods
Bayesian inference
ice properties
description We develop Bayesian statistical models that are designed for the inference of ice softness and basal sliding parameters, important glaciological quantities. These models are applied to Langjökull, the second largest temperate ice cap in Iceland at about 900 squared kilometers in area. The models make use of a relationship between physical parameters and ice velocity as stipulated by a shallow ice approximation that is generally applicable to Langjökull. The posterior distribution for ice softness concentrates around 18.2 × 10 −25 s −1 Pa −3 moreover, spatially varying basal sliding parameters are inferred allowing for the decomposition of velocity into a deformation component and a sliding component, with spatial variation consistent with previous studies. Bayesian computation is conducted with a Gibbs sampling approach. The paper serves as an example of statistical inference for ice softness and basal sliding parameters at temperate, shallow glaciers using surface velocity data.
format Dataset
author Giri Gopalan
Birgir Hrafnkelsson
Guðfinna Aðalgeirsdóttir
Finnur Pálsson
author_facet Giri Gopalan
Birgir Hrafnkelsson
Guðfinna Aðalgeirsdóttir
Finnur Pálsson
author_sort Giri Gopalan
title Data_Sheet_1_Bayesian Inference of Ice Softness and Basal Sliding Parameters at Langjökull.ZIP
title_short Data_Sheet_1_Bayesian Inference of Ice Softness and Basal Sliding Parameters at Langjökull.ZIP
title_full Data_Sheet_1_Bayesian Inference of Ice Softness and Basal Sliding Parameters at Langjökull.ZIP
title_fullStr Data_Sheet_1_Bayesian Inference of Ice Softness and Basal Sliding Parameters at Langjökull.ZIP
title_full_unstemmed Data_Sheet_1_Bayesian Inference of Ice Softness and Basal Sliding Parameters at Langjökull.ZIP
title_sort data_sheet_1_bayesian inference of ice softness and basal sliding parameters at langjökull.zip
publishDate 2021
url https://doi.org/10.3389/feart.2021.610069.s001
https://figshare.com/articles/dataset/Data_Sheet_1_Bayesian_Inference_of_Ice_Softness_and_Basal_Sliding_Parameters_at_Langj_kull_ZIP/14563506
long_lat ENVELOPE(-20.145,-20.145,64.654,64.654)
geographic Langjökull
geographic_facet Langjökull
genre Ice cap
Iceland
Langjökull
genre_facet Ice cap
Iceland
Langjökull
op_relation doi:10.3389/feart.2021.610069.s001
https://figshare.com/articles/dataset/Data_Sheet_1_Bayesian_Inference_of_Ice_Softness_and_Basal_Sliding_Parameters_at_Langj_kull_ZIP/14563506
op_rights CC BY 4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.3389/feart.2021.610069.s001
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