Representativeness of MesoWest Observations
and Other VTMX-Related Issues
John D. Horel, David Myrick, Mike Splitt*, Steven Lazarus**, Lacey Holland***, Alex Reinecke****
Department of Meteorology
University of Utah
jhorel@met.utah.edu
* Telecommuting from Florida
** Florida Institute of Technology
*** NCEP
**** University of Washington

Current Focus
Cold Pool Structure
Clements, C., 2001: Cold Air Pool Evolution and Dynamics In A Mountain Basin. M.S. Thesis. University of Utah. 100 pp.
Clements, C., D. Whiteman, J. Horel, 2003: Cold pool evolution and dynamics in a mountain basin. Submitted to J. Appl. Meteor.
Climate in Salt Lake Valley and other Basins in the West
How well can MesoWest observations define local microclimates, e.g., diurnal temperature range?
IOP-2. 6-7 October
Holland, L., 2002: Downslope Windstorms Along the Wasatch Front. M. S. Thesis. University of Utah. 86 pp.  (copies available)
** Horel, J. and L. Holland, 2002: Downslope windstorms along the Wasatch Front. Manuscript in preparation.
Data Assimilation in Complex Terrain for other IOPs
Lazarus, S., C. Ciliberti, J. Horel, 2002: Near-real time applications of a mesoscale analysis system to complex terrain. Wea. Forecasting. In press.
Sensitivity to analysis methodology: overcoming systematic analysis errors in complex terrain

Diurnal Temperature Range

Slide 4

Slide 5

Terrain Height vs. Mountain/Valley

West  DEM Grid Points vs. MesoWest Stations

Diurnal Temperature Range vs. Mtn/Valley

IOP-2: 6-7 October
Complex interactions between stable boundary layer and synoptic-mesoscale forcing
Well-developed radiational inversion in Salt Lake Valley
Cold pool over Wyoming  approaching Wasatch
After 10:30 UTC:
 Bora-type surface winds confined to narrow region along northeast bench
Jet emanating from northeast corner of SL Valley above cold pool
Stagnant conditions in downtown SLC

Conceptual model of IOP 2:
7 Oct 2000 (0400 UTC)

 Vertical Structure at 0400 UTC

Conceptual Model of IOP 2
0700 UTC

Conceptual Model of IOP 2:
 0830 UTC

Tethersondes at 1000 UTC

Conceptual Model at 1030 UTC

“Good” ADAS Wind Analysis : IOP-2

“Bad” ADAS Temperature Analysis: IOP-8
1200 UTC 20 October

ADAS Analyses Applied to VTMX
1 km horizontal resolution incorporating all available observations collected during IOPs
Analysis = Background + Correction
               = RUC-2         + S weight x (observation – background)
Biases:
Surface observations on slopes/peaks affecting free atmosphere above valleys. Developed “terrain weighting factor”
Analyses too smooth in horizontal and vertical. Reduced horizontal and vertical radii of influence
Surface observations from adjacent valleys affecting analysis. Developing “anisotropy weighting factor”
Mass/wind fields not constrained to be dynamically consistent. Developing variational constraint on wind field

Anisotropic Weighting Term

Slide 20

“Better” ADAS Temperature Analysis: IOP-8
1200 UTC 20 October

1200 UTC 20 October. IOP-8

1200 UTC 20 October. IOP-8

What’s Next?
Fully implement anisotropy factor into ADAS
Analyze spatial and temporal evolution of boundary layer during  IOP-8 at 1 h intervals on 1 km grid using all available data
Use analyses to initialize simulations of IOP-2 and IOP-8
Analyze other IOPs as time permits
Continue development of variational wind constraint