WRF simulations to investigate processes across scales (WRFSCALE)
Hans-Stefan Bauer (),
Thomas Schwitalla (),
Oliver Branch () and
Rohith Thundathil ()
Additional contact information
Hans-Stefan Bauer: Institute of Physics and Meteorology
Thomas Schwitalla: Institute of Physics and Meteorology
Oliver Branch: Institute of Physics and Meteorology
Rohith Thundathil: Institute of Physics and Meteorology
A chapter in High Performance Computing in Science and Engineering '21, 2023, pp 411-421 from Springer
Abstract:
Abstract Several scientific aspects ranging from boundary layer research and land modification experiments to data assimilation applications were addressed with the Weather Research and Forecasting (WRF) model from the km-scale down to the turbulence-permitting scale. Due to the transition to the new Hawk system, most of the work done in the subprojects during the reporting period was related to cleaning up, configuration testing, transfer of data, and publication of the results of earlier simulations. Investigations were extended to a second case of the Land Atmosphere Feedback Experiment (LAFE) in the central United States. The model grid increment was refined from 100 m with 100 vertical levels to 20 m with 200 vertical levels, resulting in more detailed turbulence structures and stronger variability in the boundary layer. These are promising results and match well with lidar observations.
Date: 2023
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-17937-2_25
Ordering information: This item can be ordered from
http://www.springer.com/9783031179372
DOI: 10.1007/978-3-031-17937-2_25
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().