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


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julia.boike [ at ] awi.de

Abstract


Item Type
Conference (Poster)
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Helmholtz Cross Cutting Activity (2021-2027)
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Peer revision
Not peer-reviewed
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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