Data_Sheet_3_Bayesian Inference of Ice Softness and Basal Sliding Parameters at Langjökull.pdf
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 mak...
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ftfrontimediafig:oai:figshare.com:article/14563512 2023-05-15T16:38:17+02:00 Data_Sheet_3_Bayesian Inference of Ice Softness and Basal Sliding Parameters at Langjökull.pdf Giri Gopalan Birgir Hrafnkelsson Guðfinna Aðalgeirsdóttir Finnur Pálsson 2021-05-10T04:58:59Z https://doi.org/10.3389/feart.2021.610069.s003 https://figshare.com/articles/dataset/Data_Sheet_3_Bayesian_Inference_of_Ice_Softness_and_Basal_Sliding_Parameters_at_Langj_kull_pdf/14563512 unknown doi:10.3389/feart.2021.610069.s003 https://figshare.com/articles/dataset/Data_Sheet_3_Bayesian_Inference_of_Ice_Softness_and_Basal_Sliding_Parameters_at_Langj_kull_pdf/14563512 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.s003 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 |
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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_3_Bayesian Inference of Ice Softness and Basal Sliding Parameters at Langjökull.pdf |
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_3_Bayesian Inference of Ice Softness and Basal Sliding Parameters at Langjökull.pdf |
title_short |
Data_Sheet_3_Bayesian Inference of Ice Softness and Basal Sliding Parameters at Langjökull.pdf |
title_full |
Data_Sheet_3_Bayesian Inference of Ice Softness and Basal Sliding Parameters at Langjökull.pdf |
title_fullStr |
Data_Sheet_3_Bayesian Inference of Ice Softness and Basal Sliding Parameters at Langjökull.pdf |
title_full_unstemmed |
Data_Sheet_3_Bayesian Inference of Ice Softness and Basal Sliding Parameters at Langjökull.pdf |
title_sort |
data_sheet_3_bayesian inference of ice softness and basal sliding parameters at langjökull.pdf |
publishDate |
2021 |
url |
https://doi.org/10.3389/feart.2021.610069.s003 https://figshare.com/articles/dataset/Data_Sheet_3_Bayesian_Inference_of_Ice_Softness_and_Basal_Sliding_Parameters_at_Langj_kull_pdf/14563512 |
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.s003 https://figshare.com/articles/dataset/Data_Sheet_3_Bayesian_Inference_of_Ice_Softness_and_Basal_Sliding_Parameters_at_Langj_kull_pdf/14563512 |
op_rights |
CC BY 4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3389/feart.2021.610069.s003 |
_version_ |
1766028556893159424 |