Abstract
An investigation was conducted on the effects of various physics parameterizations on wintertime precipitation predictions using a high-resolution regional climate model. The objective was to evaluate the sensitivity of cold-season mountainous snowfall to cloud microphysics schemes, planetary boundary layer (PBL) schemes, land surface schemes, and radiative transfer schemes at a 4-km grid spacing applicable to the next generation of regional climate models. The results indicated that orographically enhanced precipitation was highly sensitive to cloud microphysics parameterizations. Of the tested 7 parameterizations, 2 schemes clearly outperformed the others that overpredicted the snowfall amount by asmuch as;30%-60% on the basis of snowtelemetry observations. Significant differences among these schemes were apparent in domain averages, spatial distributions of hydrometeors, latent heating profiles, and cloud fields. In comparison, model results showed relatively weak dependency on the land surface, PBL, and radiation schemes, roughly in the order of decreasing level of sensitivity.
| Original language | English |
|---|---|
| Pages (from-to) | 3533-3553 |
| Number of pages | 21 |
| Journal | Monthly Weather Review |
| Volume | 139 |
| Issue number | 11 |
| DOIs | |
| State | Published - Nov 2011 |
Keywords
- Cloud microphysics
- Cloud parameterizations
- Cool season
- Regional models
- Snowfall
- Topographic effects
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