A model-driven approach to quantifying uncertainty in permafrost temperature trends

Bibliographic Details
Main Authors: Groenke, Brian, Langer, Moritz, Gallego, Guillermo, Boike, Julia
Format: Conference Object
Language:unknown
Published: 2021
Subjects:
permafrost
Online Access:https://epic.awi.de/id/eprint/54945/
https://hdl.handle.net/10013/epic.e742e361-e494-4f6f-a4dc-859892055b28
id ftawi:oai:epic.awi.de:54945
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spelling ftawi:oai:epic.awi.de:54945 2023-05-15T17:55:50+02:00 A model-driven approach to quantifying uncertainty in permafrost temperature trends Groenke, Brian Langer, Moritz Gallego, Guillermo Boike, Julia 2021-11-08 https://epic.awi.de/id/eprint/54945/ https://hdl.handle.net/10013/epic.e742e361-e494-4f6f-a4dc-859892055b28 unknown Groenke, B. orcid:0000-0003-2570-9342 , Langer, M. orcid:0000-0002-2704-3655 , Gallego, G. and Boike, J. orcid:0000-0002-5875-2112 (2021) A model-driven approach to quantifying uncertainty in permafrost temperature trends , 6th Data Science Symposium, Bremen, Germany, 8 November 2021 - 9 November 2021 . hdl:10013/epic.e742e361-e494-4f6f-a4dc-859892055b28 EPIC36th Data Science Symposium, Bremen, Germany, 2021-11-08-2021-11-09 Conference notRev 2021 ftawi 2021-12-24T15:46:38Z Conference Object permafrost Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
institution Open Polar
collection Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
op_collection_id ftawi
language unknown
format Conference Object
author Groenke, Brian
Langer, Moritz
Gallego, Guillermo
Boike, Julia
spellingShingle Groenke, Brian
Langer, Moritz
Gallego, Guillermo
Boike, Julia
A model-driven approach to quantifying uncertainty in permafrost temperature trends
author_facet Groenke, Brian
Langer, Moritz
Gallego, Guillermo
Boike, Julia
author_sort Groenke, Brian
title A model-driven approach to quantifying uncertainty in permafrost temperature trends
title_short A model-driven approach to quantifying uncertainty in permafrost temperature trends
title_full A model-driven approach to quantifying uncertainty in permafrost temperature trends
title_fullStr A model-driven approach to quantifying uncertainty in permafrost temperature trends
title_full_unstemmed A model-driven approach to quantifying uncertainty in permafrost temperature trends
title_sort model-driven approach to quantifying uncertainty in permafrost temperature trends
publishDate 2021
url https://epic.awi.de/id/eprint/54945/
https://hdl.handle.net/10013/epic.e742e361-e494-4f6f-a4dc-859892055b28
genre permafrost
genre_facet permafrost
op_source EPIC36th Data Science Symposium, Bremen, Germany, 2021-11-08-2021-11-09
op_relation Groenke, B. orcid:0000-0003-2570-9342 , Langer, M. orcid:0000-0002-2704-3655 , Gallego, G. and Boike, J. orcid:0000-0002-5875-2112 (2021) A model-driven approach to quantifying uncertainty in permafrost temperature trends , 6th Data Science Symposium, Bremen, Germany, 8 November 2021 - 9 November 2021 . hdl:10013/epic.e742e361-e494-4f6f-a4dc-859892055b28
_version_ 1766163847173898240

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