A model-driven approach to quantifying uncertainty in permafrost temperature trends
Groenke, Brian ORCID: https://orcid.org/0000-0003-2570-9342, Langer, Moritz ORCID: https://orcid.org/0000-0002-2704-3655, Gallego, Guillermo and Boike, Julia ORCID: https://orcid.org/0000-0002-5875-2112
;
Contact
julia.boike [ at ] awi.de
Abstract
Item Type
Conference
(Poster)
Authors
Groenke, Brian ORCID: https://orcid.org/0000-0003-2570-9342, Langer, Moritz ORCID: https://orcid.org/0000-0002-2704-3655, Gallego, Guillermo and Boike, Julia ORCID: https://orcid.org/0000-0002-5875-2112
;
Divisions
AWI Organizations > Geosciences > Permafrost Research
AWI Organizations > Geosciences > (deprecated) Junior Research Group: Permafrost
AWI Organizations > Geosciences > (deprecated) Junior Research Group: Permafrost
Primary Division
Programs
Helmholtz Research Programs > CHANGING EARTH (2021-2027) > PT5:Dynamics of the Terrestrial Environment and Freshwater Resources under Global and Climate Change > ST5.3: Natural dynamics of the terrestrial Earth surface system
Primary Topic
Helmholtz Programs > Helmholtz Research Programs > CHANGING EARTH (2021-2027) > PT5:Dynamics of the Terrestrial Environment and Freshwater Resources under Global and Climate Change > ST5.3: Natural dynamics of the terrestrial Earth surface system
Helmholtz Cross Cutting Activity (2021-2027)
Publication Status
Published
Event Details
6th Data Science Symposium, 08 Nov 2021 - 09 Nov 2021, Bremen, Germany.
Eprint ID
54945
Cite as
Groenke, B.
,
Langer, M.
,
Gallego, G.
and
Boike, J.
(2021):
A model-driven approach to quantifying uncertainty in permafrost temperature trends
,
6th Data Science Symposium,
Bremen, Germany,
8 November 2021 - 9 November 2021
.
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