The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Breaking the Cloud Parameterization Deadlock
Abstract
A key factor limiting the reliability of simulations of anthropogenic climate change is the inability to accurately represent the various effects of clouds on climate. Despite the best efforts of the community, the problem has resisted solution for several decades. The reasons for this are briefly reviewed and it is argued that it will be many more decades before the problem can be solved through the approaches to cloud parameterization that have been used up to now. An alternative approach, called superparameterization, is then outlined, in which high-resolution cloud system-resolving models (CSRMs) are used in place of the conventional cloud parameterizations. Tests performed with the Community Atmosphere Model show that superparameterizations can give more realistic simulations of the current climate, including greatly improved simulations of the Madden–Julian oscillation and other tropical wave disturbances. Superparameterizations increase the cost of climate simulation by a factor of several hundred dollars, but can make efficient use of massively parallel computers. In addition, superparameterizations make it possible for a climate model to converge to a global CSRM as the horizontal grid spacing of the climate model decreases to a few kilometers. No existing global atmospheric model has this convergence property. Superparameterizations have the potential to greatly increase the reliability of climate change simulations.
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Cites
Climate Change 2001: The Scientific Basis
Cooper, R. N., Houghton, J. T., McCarthy, J. J., & Metz, B. (2002) · Foreign Affairs · doi:10.2307/20033020 · Cited by 12,889
Interaction of a Cumulus Cloud Ensemble with the Large-Scale Environment, Part I
Arakawa, A., & Schubert, W. H. (1974) · Journal of the Atmospheric Sciences · doi:10.1175/1520-0469(1974)031<0674:ioacce>2.0.co;2 · Cited by 2,481
Self-citationAdvances in Understanding Clouds from ISCCP
Rossow, W. B., & Schiffer, R. A. (1999) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1999)080<2261:aiucfi>2.0.co;2 · Cited by 2,256
Stephens, G. L., Vane, D. G., Boain, R. J., Mace, G. G., Sassen, K., Wang, Z., Illingworth, A. J., O'connor, E. J., Rossow, W. B., Durden, S. L., et al. (2002) · Bulletin of the American Meteorological Society · doi:10.1175/bams-83-12-1771 · Cited by 2,100
Observations of the 40–50-Day Tropical Oscillation—A Review
Madden, R. A., & Julian, P. R. (1994) · Monthly Weather Review · doi:10.1175/1520-0493(1994)122<0814:ootdto>2.0.co;2 · Cited by 1,905
Models of cloud‐topped mixed layers under a strong inversion
Lilly, D. K. (1968) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.49709440106 · Cited by 910
Slingo, J. M., Sperber, K. R., Boyle, J. S., Ceron, J.-P., Dix, M., Dugas, B., Ebisuzaki, W., Fyfe, J., Gregory, D., Gueremy, J.-F., et al. (1996) · Climate Dynamics · doi:10.1007/bf00231106 · Cited by 539
Self-citationOn the Tropical Rainfall Measuring Mission (TRMM)
Simpson, J., Kummerow, C., Tao, W. K., & Adler, R. F. (1996) · Meteorology and Atmospheric Physics · doi:10.1007/bf01029783 · Cited by 516
Sundqvist, H. (1978) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.49710444110 · Cited by 494
Khairoutdinov, M. F., & Randall, D. A. (2001) · Geophysical Research Letters · doi:10.1029/2001gl013552 · Cited by 473
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Cited by
The quiet revolution of numerical weather prediction
Bauer, P., Thorpe, A., & Brunet, G. (2015) · Nature · doi:10.1038/nature14956 · Cited by 2,729
The Community Earth System Model: A Framework for Collaborative Research
Hurrell, J. W., Holland, M. M., Gent, P. R., Ghan, S., Kay, J. E., Kushner, P. J., Lamarque, J.-F., Large, W. G., Lawrence, D., Lindsay, K., et al. (2013) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-12-00121.1 · Cited by 2,686
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
DYAMOND: the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains
Stevens, B., Satoh, M., Auger, L., Biercamp, J., Bretherton, C. S., Chen, X., Düben, P., Judt, F., Khairoutdinov, M., Klocke, D., et al. (2019) · Progress in Earth and Planetary Science · doi:10.1186/s40645-019-0304-z · Cited by 586
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Metadata
- Authors
- Randall, D., Khairoutdinov, M., Arakawa, A., & Grabowski, W.
- Venue
- Bulletin of the American Meteorological Society
- Publisher
- American Meteorological Society
- Published
- 2003-11-01
- Volume
- 84
- Issue
- 11
- Pages
- 1547-1564
- ISSN
- 0003-0007 (ISSN-L)
- 1520-0477
- OpenAlex
- W2010498097
- Cited by
- 771
- References
- 21
- FWCI
- 17.18
- Type
- journal article
- Language
- en
- Open access
- closed
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