Pacific Northwest MM5-NAM/MM5-ETA Quick-Look Weather Forecasts: Information

For a description of our real-time high-resolution WRF forecasts click here

General Information: The Department of Atmospheric Sciences at the University of Washington ran the Penn State/NCAR mesoscale model version 3.6.3 (MM5 v3.6.3) twice a day until March 15, 2023. The MM5-NAM was used to produce a rapidly available medium resolution meteorological forecast for the Pacific Northwest using a frozen version of the model code.


Model Configuration: The MM5 numerical forecasts featured an outer grid of 36 km horizontal resolution that covered much of western North America and the northeastern Pacific and a nested grid of 12 km resolution that covered Washington, Oregon, and Idaho. The regions covered by each domain, showing topography and land use categories are shown in these plots:
36-km terrain 36-km land use
12 km terrain 12 km land use
A land use category color key is included in the links above, you may view it alone here.

A detailed description of the domain boundaries as well as the actual terrain.namelist are given here. Detailed land use information for each domain was derived from the 1-km USGS digital database, with some subjective modification using other data sources.

The model utilized 38 vertical full-sigma levels see below, and was run in non-hydrostatic mode in order to limit pressure gradient force errors over the complex terrain. An upper-radiative boundary condition was used to allow gravity waves to radiate through the model top without being reflected. The following table describes the phyics options we used:

Phyics Options:
PhysicsComments
Dudhia Cloud-Radiation
Simple Ice Microphysics
Dudhia Simple Ice Microphysics
Kain-Fritsch Cumulus
MRF PBLAlso known as the Hong-Pan PBL (Hong and Pan 1996).
5-layer Soil Model Dudhia scheme predicting temperature at approximately 1, 2, 4, 8, and 16 layers with a fixed substrate below.
Here is a sample mmlif file that was used to run the model: 36/12 km mmlif.
For more information on any of these options, see the MM5 chapter of the MM5 tutorial notes.


Initializations: Initial and lateral boundary conditions for the MM5 were generated by interpolation of the National Centers for Environmental Prediction (NCEP) "NAM" model analysis and forecast fields. The exceptions were: 1) SST was from the 1/4 degree OTIS grids, 2) surface temperature was from the NAM 221 grids (40-km grid spacing), and 3) subsurface soil temperature and moisture were also from NAM 221 grids.
Forecast: Forecasts were computed as follows:
  1. MM5-NAM: 24-processor OpenMPI HP Xeon Beowolf cluster running Debian Linux.
The model produced output for an 84 hour forecast period over the 36 and 12 km domains.
Future Improvements: None planned. Frozen code.

Full Vertical Sigma Levels

Sigma: 1.00, 0.995*, 0.99, 0.985*, 0.98, 0.97, 0.96, 0.95*, 0.94, 0.93*, 0.92, 0.91*, 0.90, 0.88, 0.86, 0.83, 0.80, 0.77, 0.74, 0.71, 0.68, 0.64, 0.60, 0.56, 0.52, 0.48, 0.44, 0.40, 0.36, 0.32, 0.28, 0.24, 0.20, 0.16, 0.12, 0.08, 0.04, 0. * = added 7/9/2001 Half-Sigma Levels
K-indexSigmaK-indexSigmaK-indexSigma
10.0220.0630.10
40.1450.1860.22
70.2680.3090.34
100.38110.42120.46
130.50140.54150.58
160.62170.66180.695
190.725200.755210.785
220.815230.845240.87
250.89260.905270.915
280.925290.935300.945
310.955320.965330.975
340.9825350.9875360.9925
370.9975


Past Domain Configurations: This table provides all the necessary information about previous domain configurations.
Domain NameCode VersionFirst ForecastLast Forecast 36 km Domain 12 km Domain 4 km Domain Terrain Setup File Full TER.PLT NCGM File
TerrainLand useLat, Lon, Elev and Domain Extents TerrainLand useLat, Lon, Elev and Domain Extents TerrainLand useLat, Lon, Elev and Domain Extents
aug023-6-420020909122023031500 terrain land use text file terrain land use text file terrain land use text file terrain.deck TER.PLT

Questions and Comments: We're always interested in feedback. Please direct any questions and comments you have to Mark Albright (marka@atmos.washington.edu) or Cliff Mass (cliff@atmos.washington.edu).