Spatio-temporal models for uncertainty quantification in ice-sheet models using Gaussian random fields

NASA/JPL

Bibliographic Details
Main Authors: Bulthuis, Kevin M, Larour, Eric
Format: Conference Object
Language:English
Published: Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2021 2022
Subjects:
Ice Sheet
Online Access:http://hdl.handle.net/2014/55620
id ftnasajpl:oai:trs.jpl.nasa.gov:2014/55620
record_format openpolar
spelling 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

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