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 | |||||
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 |
Terrain Height vs. Mountain/Valley
West DEM Grid Points vs. MesoWest Stations
Diurnal Temperature Range vs. Mtn/Valley
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
“Good” ADAS Wind Analysis : IOP-2
“Bad” ADAS Temperature
Analysis: IOP-8
1200 UTC 20 October
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 |
“Better” ADAS Temperature
Analysis: IOP-8
1200 UTC 20 October
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 |