Physics and dynamics coupling across scales in the next generation CESM: Meeting the challenge of high resolution. Final report
Abstract
This is a final report for a SciDAC grant supported by BER. The project implemented a novel technique for coupling small-scale dynamics and microphysics into a community climate model. The technique uses subcolumns that are sampled in Monte Carlo fashion from a distribution of subgrid variability. The resulting global simulations show several improvements over the status quo.
- Authors:
- Publication Date:
- Research Org.:
- Univ. of Wisconsin, Milwaukee, WI (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1170514
- Report Number(s):
- DOE-UWM-06927
- DOE Contract Number:
- SC0006927
- Resource Type:
- Technical Report
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES
Citation Formats
Larson, Vincent E. Physics and dynamics coupling across scales in the next generation CESM: Meeting the challenge of high resolution. Final report. United States: N. p., 2015.
Web. doi:10.2172/1170514.
Larson, Vincent E. Physics and dynamics coupling across scales in the next generation CESM: Meeting the challenge of high resolution. Final report. United States. https://doi.org/10.2172/1170514
Larson, Vincent E. 2015.
"Physics and dynamics coupling across scales in the next generation CESM: Meeting the challenge of high resolution. Final report". United States. https://doi.org/10.2172/1170514. https://www.osti.gov/servlets/purl/1170514.
@article{osti_1170514,
title = {Physics and dynamics coupling across scales in the next generation CESM: Meeting the challenge of high resolution. Final report},
author = {Larson, Vincent E.},
abstractNote = {This is a final report for a SciDAC grant supported by BER. The project implemented a novel technique for coupling small-scale dynamics and microphysics into a community climate model. The technique uses subcolumns that are sampled in Monte Carlo fashion from a distribution of subgrid variability. The resulting global simulations show several improvements over the status quo.},
doi = {10.2172/1170514},
url = {https://www.osti.gov/biblio/1170514},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sat Feb 21 00:00:00 EST 2015},
month = {Sat Feb 21 00:00:00 EST 2015}
}
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