Spatio-temporal models for uncertainty quantification in ice-sheet models using Gaussian random fields
NASA/JPL
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Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2021
2022
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Online Access: | http://hdl.handle.net/2014/55620 |
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ftnasajpl:oai:trs.jpl.nasa.gov:2014/55620 2023-05-15T16:39:49+02:00 Spatio-temporal models for uncertainty quantification in ice-sheet models using Gaussian random fields Bulthuis, Kevin M Larour, Eric 2022-11-08T18:13:12Z application/pdf http://hdl.handle.net/2014/55620 en_US eng Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2021 2021 Fall Meeting of the American Geophysical Union (Virtual / In-Person Hybrid), New Orleans, Louisiana, December 13-17, 2021 CL#21-6269 http://hdl.handle.net/2014/55620 Presentation 2022 ftnasajpl 2022-11-13T18:09:39Z NASA/JPL Conference Object Ice Sheet JPL Technical Report Server |
institution |
Open Polar |
collection |
JPL Technical Report Server |
op_collection_id |
ftnasajpl |
language |
English |
description |
NASA/JPL |
format |
Conference Object |
author |
Bulthuis, Kevin M Larour, Eric |
spellingShingle |
Bulthuis, Kevin M Larour, Eric Spatio-temporal models for uncertainty quantification in ice-sheet models using Gaussian random fields |
author_facet |
Bulthuis, Kevin M Larour, Eric |
author_sort |
Bulthuis, Kevin M |
title |
Spatio-temporal models for uncertainty quantification in ice-sheet models using Gaussian random fields |
title_short |
Spatio-temporal models for uncertainty quantification in ice-sheet models using Gaussian random fields |
title_full |
Spatio-temporal models for uncertainty quantification in ice-sheet models using Gaussian random fields |
title_fullStr |
Spatio-temporal models for uncertainty quantification in ice-sheet models using Gaussian random fields |
title_full_unstemmed |
Spatio-temporal models for uncertainty quantification in ice-sheet models using Gaussian random fields |
title_sort |
spatio-temporal models for uncertainty quantification in ice-sheet models using gaussian random fields |
publisher |
Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2021 |
publishDate |
2022 |
url |
http://hdl.handle.net/2014/55620 |
genre |
Ice Sheet |
genre_facet |
Ice Sheet |
op_relation |
2021 Fall Meeting of the American Geophysical Union (Virtual / In-Person Hybrid), New Orleans, Louisiana, December 13-17, 2021 CL#21-6269 http://hdl.handle.net/2014/55620 |
_version_ |
1766030146977923072 |