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Comparisons of single- and double-moment microphysics schemes in the simulation of a synoptic-scale snowfall event

  • NASA Marshall Space Flight Center

Research output: Contribution to journalReview articlepeer-review

55 Scopus citations

Abstract

The Canadian CloudSat/Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Validation Project (C3VP) provided aircraft, surface, and remotely sensed observations of cloud and precipitation characteristics to support improved simulation of cold-season precipitation within weather forecast models and new developments in satellite and radar precipitation retrievals. On 22 January 2007, the C3VP campaign executed an intensive observation period to sample widespread snowfall that occurred as a midlatitude cyclone tracked along the U.S.-Canadian border. Surface air temperature and precipitation measurements, combined with aircraft measurement of hydrometeor content and size distribution, are used to examine various assumptions and parameterizations included within four bulk water microphysics schemes available within the Weather Research and Forecasting Model (WRF). In a simulation of the 22 January 2007 event, WRF forecasts reproduced the overall precipitation pattern observed during aircraft sampling, allowing for a comparison between C3VP measurements and microphysics scheme assumptions. Single-moment schemes that provide flexibility in size distribution parameters as functions of temperature can represent much of the vertical variability observed in aircraft data, but variability is reduced in an environment where the simulated temperature profile is nearly isothermal. Doublemoment prediction of total number concentration may improve the representation of ice crystal Inclusion of both temperature dependence on distribution parameters and variability in mass-diameter or diameter-fall speed relationships suggest a means of improving upon single-moment predictions.

Original languageEnglish
Pages (from-to)2982-3002
Number of pages21
JournalMonthly Weather Review
Volume140
Issue number9
DOIs
StatePublished - Sep 2012

Keywords

  • Cloud parameterizations
  • Cloud resolving models
  • Forecast verification/skill
  • Model evaluation/performance
  • Numerical weather prediction/forecasting

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