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Detailed Reference Information |
Pincus, R. and Klein, S.A. (2000). Unresolved spatial variability and microphysical process rates in large-scale models. Journal of Geophysical Research 105: doi: 10.1029/2000JD900504. issn: 0148-0227. |
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Prognostic cloud schemes in large-scale models are typically formulated in terms of grid-cell average values of cloud condensate concentration q, although variability in q at spatial scales smaller than the grid cell is known to exist. Because the source and sink processes modifying q are nonlinear, the process rates computed using the mean value of q are biased relative to process rates which account for subgrid-scale variability. A preliminary assessment shows that these biases can modify instantaneous process rates by as much as a factor of 2. Observations of q at a continental site suggest that the bias is avoided in current practice through the arbitrary tuning of model parameters. Models might be improved if subgrid-scale variability in q were explicitly considered; several approaches to this goal are suggested. ¿ 2000 American Geophysical Union |
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Abstract |
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Keywords
Global Change, Atmosphere (0315, 0325), Global Change, Instruments and techniques, Meteorology and Atmospheric Dynamics, Numerical modeling and data assimilation, Meteorology and Atmospheric Dynamics, Theoretical modeling |
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Publisher
American Geophysical Union 2000 Florida Avenue N.W. Washington, D.C. 20009-1277 USA 1-202-462-6900 1-202-328-0566 service@agu.org |
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