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


Contact
julia.boike [ at ] awi.de

Abstract


Item Type
Conference (Poster)
Authors
Divisions
Primary Division
Programs
Primary Topic
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 .


Share
Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Geographical region

Research Platforms

Campaigns
N/A


Actions
Edit Item Edit Item