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The impact of turbulent transport efficiency on surface vertical heat fluxes in the Arctic stable boundary layer predicted from similarity theory and machine-learning

Title data

Huss, Jannis-Michael ; Thomas, Christoph K.:
The impact of turbulent transport efficiency on surface vertical heat fluxes in the Arctic stable boundary layer predicted from similarity theory and machine-learning.
In: Journal of the Atmospheric Sciences. (19 September 2024) .
ISSN 0022-4928
DOI: https://doi.org/10.1175/JAS-D-24-0063.1

Project information

Project title:
Project's official title
Project's id
DarkMix - Illuminating the dark side of surface meteorology: creating a novel framework to explain atmospheric transport and turbulent mixing in the weak-wind boundary layer
724629

Related research data

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties
Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Chemistry
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professor Micrometeorology > Professor Micrometeorology - Univ.-Prof. Dr. Christoph K. Thomas
Profile Fields > Advanced Fields > Ecology and the Environmental Sciences
Profile Fields > Advanced Fields > Nonlinear Dynamics
Research Institutions > EU Research Projects > DarkMix
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 540 Chemistry
Date Deposited: 16 Oct 2024 07:58
Last Modified: 23 Oct 2024 06:20
URI: https://eref.uni-bayreuth.de/id/eprint/90725