High-resolution simulations of wintertime precipitation in the Colorado headwaters region: Sensitivity to physics parameterizations

Changhai Liu, Kyoko Ikeda, Gregory Thompson, Roy Rasmussen, Jimy Dudhia

Research output: Contribution to journalArticlepeer-review

172 Scopus citations

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 languageEnglish
Pages (from-to)3533-3553
Number of pages21
JournalMonthly Weather Review
Volume139
Issue number11
DOIs
StatePublished - Nov 2011

Keywords

  • Cloud microphysics
  • Cloud parameterizations
  • Cool season
  • Regional models
  • Snowfall
  • Topographic effects

Fingerprint

Dive into the research topics of 'High-resolution simulations of wintertime precipitation in the Colorado headwaters region: Sensitivity to physics parameterizations'. Together they form a unique fingerprint.

Cite this