The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
A cloud resolving model as a cloud parameterization in the NCAR Community Climate System Model: Preliminary results
Abstract
Preliminary results of a short climate simulation with a 2‐D cloud resolving model (CRM) installed into each grid column of an NCAR Community Climate System Model (CCSM) are presented. The CRM replaces the conventional convective and stratiform cloud parameterizations, and allows for explicit computation of the global cloud fraction distribution for radiation computations. The extreme computational cost of the combined CCSM/CRM model has thus far limited us to a two‐month long climate simulation (December‐January) using 2.8° × 2.8° resolution. The simulated geographical distributions of the total rainfall, precipitable water, cloud cover, and Earth radiation budget, for the month of January, look very reasonable.
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Cites
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A New Global Water Vapor Dataset
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Zhang, C. (2005) · Reviews of Geophysics · doi:10.1029/2004rg000158 · Cited by 2,178
Prein, A. F., Langhans, W., Fosser, G., Ferrone, A., Ban, N., Goergen, K., Keller, M., Tölle, M., Gutjahr, O., Feser, F., et al. (2015) · Reviews of Geophysics · doi:10.1002/2014rg000475 · Cited by 1,445
Deep learning to represent subgrid processes in climate models
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Seinfeld, J. H., Bretherton, C., Carslaw, K. S., Coe, H., DeMott, P. J., Dunlea, E. J., Feingold, G., Ghan, S., Guenther, A. B., Kahn, R., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1514043113 · Cited by 940
Breaking the Cloud Parameterization Deadlock
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Metadata
- Authors
- Khairoutdinov, M. F., & Randall, D. A.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2001-09-15
- Volume
- 28
- Issue
- 18
- Pages
- 3617-3620
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W2065339245
- Cited by
- 473
- References
- 10
- FWCI
- 7.07
- Type
- journal article
- Language
- en
- Open access
- closed
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