Improving Convection Parameterization Using ARM Observations and NCAR Community Atmosphere Model
Abstract
Highlight of Accomplishments: We made significant contribution to the ASR program in this funding cycle by better representing convective processes in GCMs based on knowledge gained from analysis of ARM/ASR observations. In addition, our work led to a much improved understanding of the interaction among aerosol, convection, clouds and climate in GCMs.
- Authors:
-
- Scripps Institution of Oceanography
- Publication Date:
- Research Org.:
- The Regents of the University of California / Scripps Institution of Oceanography
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1088858
- Report Number(s):
- Final Report
- DOE Contract Number:
- SC0000805
- Resource Type:
- Technical Report
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 15 GEOTHERMAL ENERGY; ARM Observations, Atmospheric Modeling
Citation Formats
Zhang, Guang J. Improving Convection Parameterization Using ARM Observations and NCAR Community Atmosphere Model. United States: N. p., 2013.
Web. doi:10.2172/1088858.
Zhang, Guang J. Improving Convection Parameterization Using ARM Observations and NCAR Community Atmosphere Model. United States. https://doi.org/10.2172/1088858
Zhang, Guang J. 2013.
"Improving Convection Parameterization Using ARM Observations and NCAR Community Atmosphere Model". United States. https://doi.org/10.2172/1088858. https://www.osti.gov/servlets/purl/1088858.
@article{osti_1088858,
title = {Improving Convection Parameterization Using ARM Observations and NCAR Community Atmosphere Model},
author = {Zhang, Guang J},
abstractNote = {Highlight of Accomplishments: We made significant contribution to the ASR program in this funding cycle by better representing convective processes in GCMs based on knowledge gained from analysis of ARM/ASR observations. In addition, our work led to a much improved understanding of the interaction among aerosol, convection, clouds and climate in GCMs.},
doi = {10.2172/1088858},
url = {https://www.osti.gov/biblio/1088858},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jul 29 00:00:00 EDT 2013},
month = {Mon Jul 29 00:00:00 EDT 2013}
}
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