Data for "Ice Sheet Speed-dating: Using expert judgement to identify "good" simulations of the Last Glacial Maximum North American Ice Sheets"
Data for Short Communication "Ice Sheet Speed-dating: Using expert judgement to identify "good" simulations of the Last Glacial Maximum North American Ice Sheets" in review at Quaternary Science Reviews.Abstract: After generating a large ensemble of palaeo ice sheet model runs, i...
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ftdans:oai:easy.dans.knaw.nl:easy-dataset:340908 2024-05-19T07:42:06+00:00 Data for "Ice Sheet Speed-dating: Using expert judgement to identify "good" simulations of the Last Glacial Maximum North American Ice Sheets" Gandy, N (via Mendeley Data) 2024-04-26T12:53:07.891Z http://nbn-resolving.org/urn:nbn:nl:ui:13-op-fk1p https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:340908 unknown 2 5tm6jgxhg2 http://nbn-resolving.org/urn:nbn:nl:ui:13-op-fk1p doi:10.17632/5tm6jgxhg2.2 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:340908 OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Niall Gandy Interdisciplinary sciences 2024 ftdans https://doi.org/10.17632/5tm6jgxhg2.2 2024-04-30T23:55:32Z Data for Short Communication "Ice Sheet Speed-dating: Using expert judgement to identify "good" simulations of the Last Glacial Maximum North American Ice Sheets" in review at Quaternary Science Reviews.Abstract: After generating a large ensemble of palaeo ice sheet model runs, it is common to either rank the simulations, or classify each simulation as an acceptable match to observations or not. Both tasks require implicit human judgement, usually left to the discretion of the research authors. For instance, even numerical comparisons to reconstructions require human input on values for match thresholds and allowances for model-mismatch. We embrace the subjectivity of human judgement and calibrate an ice-sheet model by explicitly asking experts to identify simulations that are good enough. Expert judgement is made based on a set of features of the model output that is of interest (for example, margin shapes and regional ice volumes); where possible we also record such knowledge. By seeking the input of many experts, we obtain a community consensus that can be used to develop guidance to determine the quality of future simulations. This short communication describes our exercise in seeking expert classifications of simulations of the Last Glacial Maximum (LGM) North American Ice Sheets, discusses the lessons learnt, and suggests future analysis of the responses. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE Other/Unknown Material Ice Sheet Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) |
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Open Polar |
collection |
Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) |
op_collection_id |
ftdans |
language |
unknown |
topic |
Interdisciplinary sciences |
spellingShingle |
Interdisciplinary sciences Gandy, N (via Mendeley Data) Data for "Ice Sheet Speed-dating: Using expert judgement to identify "good" simulations of the Last Glacial Maximum North American Ice Sheets" |
topic_facet |
Interdisciplinary sciences |
description |
Data for Short Communication "Ice Sheet Speed-dating: Using expert judgement to identify "good" simulations of the Last Glacial Maximum North American Ice Sheets" in review at Quaternary Science Reviews.Abstract: After generating a large ensemble of palaeo ice sheet model runs, it is common to either rank the simulations, or classify each simulation as an acceptable match to observations or not. Both tasks require implicit human judgement, usually left to the discretion of the research authors. For instance, even numerical comparisons to reconstructions require human input on values for match thresholds and allowances for model-mismatch. We embrace the subjectivity of human judgement and calibrate an ice-sheet model by explicitly asking experts to identify simulations that are good enough. Expert judgement is made based on a set of features of the model output that is of interest (for example, margin shapes and regional ice volumes); where possible we also record such knowledge. By seeking the input of many experts, we obtain a community consensus that can be used to develop guidance to determine the quality of future simulations. This short communication describes our exercise in seeking expert classifications of simulations of the Last Glacial Maximum (LGM) North American Ice Sheets, discusses the lessons learnt, and suggests future analysis of the responses. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE |
author |
Gandy, N (via Mendeley Data) |
author_facet |
Gandy, N (via Mendeley Data) |
author_sort |
Gandy, N (via Mendeley Data) |
title |
Data for "Ice Sheet Speed-dating: Using expert judgement to identify "good" simulations of the Last Glacial Maximum North American Ice Sheets" |
title_short |
Data for "Ice Sheet Speed-dating: Using expert judgement to identify "good" simulations of the Last Glacial Maximum North American Ice Sheets" |
title_full |
Data for "Ice Sheet Speed-dating: Using expert judgement to identify "good" simulations of the Last Glacial Maximum North American Ice Sheets" |
title_fullStr |
Data for "Ice Sheet Speed-dating: Using expert judgement to identify "good" simulations of the Last Glacial Maximum North American Ice Sheets" |
title_full_unstemmed |
Data for "Ice Sheet Speed-dating: Using expert judgement to identify "good" simulations of the Last Glacial Maximum North American Ice Sheets" |
title_sort |
data for "ice sheet speed-dating: using expert judgement to identify "good" simulations of the last glacial maximum north american ice sheets" |
publishDate |
2024 |
url |
http://nbn-resolving.org/urn:nbn:nl:ui:13-op-fk1p https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:340908 |
genre |
Ice Sheet |
genre_facet |
Ice Sheet |
op_relation |
2 5tm6jgxhg2 http://nbn-resolving.org/urn:nbn:nl:ui:13-op-fk1p doi:10.17632/5tm6jgxhg2.2 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:340908 |
op_rights |
OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Niall Gandy |
op_doi |
https://doi.org/10.17632/5tm6jgxhg2.2 |
_version_ |
1799481741433372672 |