Processed model data used for plots in Bondzio et al., GRL 2018 ...

Large uncertainties in model parameterizations and input datasets make projections of future sea level rise contributions of outlet glaciers challenging. Here, we introduce a novel technique for weighing large ensemble model simulations that uses information of key observables. The approach is robus...

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Bibliographic Details
Main Author: Bondzio, Johannes
Format: Dataset
Language:English
Published: Dryad 2018
Subjects:
Online Access:https://dx.doi.org/10.7280/d1x37c
https://datadryad.org/stash/dataset/doi:10.7280/D1X37C
id ftdatacite:10.7280/d1x37c
record_format openpolar
spelling ftdatacite:10.7280/d1x37c 2024-02-04T10:01:17+01:00 Processed model data used for plots in Bondzio et al., GRL 2018 ... Bondzio, Johannes 2018 https://dx.doi.org/10.7280/d1x37c https://datadryad.org/stash/dataset/doi:10.7280/D1X37C en eng Dryad Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Dataset dataset 2018 ftdatacite https://doi.org/10.7280/d1x37c 2024-01-05T04:51:50Z Large uncertainties in model parameterizations and input datasets make projections of future sea level rise contributions of outlet glaciers challenging. Here, we introduce a novel technique for weighing large ensemble model simulations that uses information of key observables. The approach is robust to input errors and yields calibrated means and error estimates of a glacier's mass balance. We apply the technique to Jakobshavn Isbr\ae{}, using a model that includes a dynamic calving law, and closely reproduce the observed behavior from 1985 until 2018 by forcing the model with ocean temperatures only. Our calibrated projection suggests that the glacier will continue to retreat and contribute about 5.1 mm to eustatic sea level rise by 2100 under present-day climatic forcing. Our analysis shows that the glacier's future evolution will strongly depend on the ambient oceanic setting. ... : Data generated using the Ice Sheet System Model (ISSM). ... Dataset Ice Sheet Jakobshavn DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
description Large uncertainties in model parameterizations and input datasets make projections of future sea level rise contributions of outlet glaciers challenging. Here, we introduce a novel technique for weighing large ensemble model simulations that uses information of key observables. The approach is robust to input errors and yields calibrated means and error estimates of a glacier's mass balance. We apply the technique to Jakobshavn Isbr\ae{}, using a model that includes a dynamic calving law, and closely reproduce the observed behavior from 1985 until 2018 by forcing the model with ocean temperatures only. Our calibrated projection suggests that the glacier will continue to retreat and contribute about 5.1 mm to eustatic sea level rise by 2100 under present-day climatic forcing. Our analysis shows that the glacier's future evolution will strongly depend on the ambient oceanic setting. ... : Data generated using the Ice Sheet System Model (ISSM). ...
format Dataset
author Bondzio, Johannes
spellingShingle Bondzio, Johannes
Processed model data used for plots in Bondzio et al., GRL 2018 ...
author_facet Bondzio, Johannes
author_sort Bondzio, Johannes
title Processed model data used for plots in Bondzio et al., GRL 2018 ...
title_short Processed model data used for plots in Bondzio et al., GRL 2018 ...
title_full Processed model data used for plots in Bondzio et al., GRL 2018 ...
title_fullStr Processed model data used for plots in Bondzio et al., GRL 2018 ...
title_full_unstemmed Processed model data used for plots in Bondzio et al., GRL 2018 ...
title_sort processed model data used for plots in bondzio et al., grl 2018 ...
publisher Dryad
publishDate 2018
url https://dx.doi.org/10.7280/d1x37c
https://datadryad.org/stash/dataset/doi:10.7280/D1X37C
genre Ice Sheet
Jakobshavn
genre_facet Ice Sheet
Jakobshavn
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_doi https://doi.org/10.7280/d1x37c
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