Bayesian parameter estimation in glacier mass-balance modelling using observations with distinct temporal resolutions and uncertainties

Empirical glacier mass-balance models are commonly used in assessments of glacier and runoff evolution. Recent satellite-borne geodetic mass-balance observations of global coverage facilitate large-scale model calibration that previously relied on sparse in situ observations of glacier mass change....

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Published in:Journal of Glaciology
Main Authors: Sjursen, Kamilla Hauknes, Dunse, Thorben, Tambue, Antoine, Schuler, Thomas Vikhamar, Andreassen, Liss Marie
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press 2023
Subjects:
Online Access:https://hdl.handle.net/11250/3096405
https://doi.org/10.1017/jog.2023.62
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spelling fthsvestlandet:oai:hvlopen.brage.unit.no:11250/3096405 2024-03-03T08:44:39+00:00 Bayesian parameter estimation in glacier mass-balance modelling using observations with distinct temporal resolutions and uncertainties Sjursen, Kamilla Hauknes Dunse, Thorben Tambue, Antoine Schuler, Thomas Vikhamar Andreassen, Liss Marie 2023 application/pdf https://hdl.handle.net/11250/3096405 https://doi.org/10.1017/jog.2023.62 eng eng Cambridge University Press Norges forskningsråd: 302458 Journal of Glaciology. 2023, . urn:issn:0022-1430 https://hdl.handle.net/11250/3096405 https://doi.org/10.1017/jog.2023.62 cristin:2171405 Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no © The Author(s), 2023 20 Journal of Glaciology Peer reviewed Journal article 2023 fthsvestlandet https://doi.org/10.1017/jog.2023.62 2024-02-02T12:40:35Z Empirical glacier mass-balance models are commonly used in assessments of glacier and runoff evolution. Recent satellite-borne geodetic mass-balance observations of global coverage facilitate large-scale model calibration that previously relied on sparse in situ observations of glacier mass change. Geodetic observations constitute temporally aggregated mass-balance signals with significant uncertainty, raising questions about the role of observations with different temporal resolutions and uncertainties in constraining model parameters. We employ a Bayesian approach and demonstrate the sensitivity of parameter values to commonly used mass-balance observations of seasonal, annual and decadal resolution with uncertainties characteristic to in situ and satellite-borne observations. For glaciers along a continentality gradient in Norway, the use of annual mass balances results in around 20% lower magnitude of modelled ablation and accumulation (1960–2020), compared to employing seasonal balances. Decadal mass balance also underestimates magnitudes of ablation and accumulation, but parameter values are strongly influenced by the prior distribution. The datasets yield similar estimates of annual mass balance with different margins of uncertainty. Decadal observations are afflicted with considerable uncertainty in mass-balance sensitivity due to high parameter uncertainty. Our results highlight the importance of seasonal observations when model applications require accurate magnitudes of ablation, e.g. to estimate meltwater runoff. publishedVersion Article in Journal/Newspaper glacier Journal of Glaciology Høgskulen på Vestlandet: HVL Open Norway Journal of Glaciology 1 20
institution Open Polar
collection Høgskulen på Vestlandet: HVL Open
op_collection_id fthsvestlandet
language English
description Empirical glacier mass-balance models are commonly used in assessments of glacier and runoff evolution. Recent satellite-borne geodetic mass-balance observations of global coverage facilitate large-scale model calibration that previously relied on sparse in situ observations of glacier mass change. Geodetic observations constitute temporally aggregated mass-balance signals with significant uncertainty, raising questions about the role of observations with different temporal resolutions and uncertainties in constraining model parameters. We employ a Bayesian approach and demonstrate the sensitivity of parameter values to commonly used mass-balance observations of seasonal, annual and decadal resolution with uncertainties characteristic to in situ and satellite-borne observations. For glaciers along a continentality gradient in Norway, the use of annual mass balances results in around 20% lower magnitude of modelled ablation and accumulation (1960–2020), compared to employing seasonal balances. Decadal mass balance also underestimates magnitudes of ablation and accumulation, but parameter values are strongly influenced by the prior distribution. The datasets yield similar estimates of annual mass balance with different margins of uncertainty. Decadal observations are afflicted with considerable uncertainty in mass-balance sensitivity due to high parameter uncertainty. Our results highlight the importance of seasonal observations when model applications require accurate magnitudes of ablation, e.g. to estimate meltwater runoff. publishedVersion
format Article in Journal/Newspaper
author Sjursen, Kamilla Hauknes
Dunse, Thorben
Tambue, Antoine
Schuler, Thomas Vikhamar
Andreassen, Liss Marie
spellingShingle Sjursen, Kamilla Hauknes
Dunse, Thorben
Tambue, Antoine
Schuler, Thomas Vikhamar
Andreassen, Liss Marie
Bayesian parameter estimation in glacier mass-balance modelling using observations with distinct temporal resolutions and uncertainties
author_facet Sjursen, Kamilla Hauknes
Dunse, Thorben
Tambue, Antoine
Schuler, Thomas Vikhamar
Andreassen, Liss Marie
author_sort Sjursen, Kamilla Hauknes
title Bayesian parameter estimation in glacier mass-balance modelling using observations with distinct temporal resolutions and uncertainties
title_short Bayesian parameter estimation in glacier mass-balance modelling using observations with distinct temporal resolutions and uncertainties
title_full Bayesian parameter estimation in glacier mass-balance modelling using observations with distinct temporal resolutions and uncertainties
title_fullStr Bayesian parameter estimation in glacier mass-balance modelling using observations with distinct temporal resolutions and uncertainties
title_full_unstemmed Bayesian parameter estimation in glacier mass-balance modelling using observations with distinct temporal resolutions and uncertainties
title_sort bayesian parameter estimation in glacier mass-balance modelling using observations with distinct temporal resolutions and uncertainties
publisher Cambridge University Press
publishDate 2023
url https://hdl.handle.net/11250/3096405
https://doi.org/10.1017/jog.2023.62
geographic Norway
geographic_facet Norway
genre glacier
Journal of Glaciology
genre_facet glacier
Journal of Glaciology
op_source 20
Journal of Glaciology
op_relation Norges forskningsråd: 302458
Journal of Glaciology. 2023, .
urn:issn:0022-1430
https://hdl.handle.net/11250/3096405
https://doi.org/10.1017/jog.2023.62
cristin:2171405
op_rights Navngivelse 4.0 Internasjonal
http://creativecommons.org/licenses/by/4.0/deed.no
© The Author(s), 2023
op_doi https://doi.org/10.1017/jog.2023.62
container_title Journal of Glaciology
container_start_page 1
op_container_end_page 20
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