hdl:10013/epic.e742e361-e494-4f6f-a4dc-859892055b28

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 > Junior Research Group: Permafrost
Primary Division
Organizations > AWI Organizations > Geosciences > Permafrost Research
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)
N/A
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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Geographical region
Arctic Mainland

Research Platforms
Stations > AWIPEV Permafrost Observatory Bayelva
Stations > Samoylov Permafrost Observatory

Campaigns
N/A


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