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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Online Access: | https://dx.doi.org/10.7280/d1x37c https://datadryad.org/stash/dataset/doi:10.7280/D1X37C |
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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 |
_version_ |
1789967030149971968 |