Development of a Local Analysis System over Highly Variable Terrain


Steven Lazarus, Carol Ciliberti, and John Horel


NOAA Cooperative Institute for Regional Prediction

University of Utah


























The Utah Arps Data Assimilation System (ADAS)

Based on the Oklahoma ARPS (Advanced Regional Prediction System) Data Assimilation System



Project Goals:


Description of the Utah ADAS

 3-Dimensional mesoscale analysis system

 220x220 km domain

 2 km horizontal resolution

 Stretched vertical coordinate

 Run at one-hour intervals

 Analyses run in two parts



Data Used in the Analyses

Main Analysis:



Cloud Analysis







ADAS Features


Bratseth Interpolation Scheme


Automated Quality Control


New Vertical Weighting Added to Analysis

Future Goals

Incorporate Additional Data Sources


Implement Linear Regression Q-C Flags


Experiment with domain size and resolution


Use ADAS to initialize ARPS

Products Available:

Utah Mesonet Web Page

http://www.met.utah.edu/jhorel/mesonet/data.html



Utah ADAS Information

http://www.met.utah.edu/jhorel/html/adas/info/information.html



Conference Papers:

Application of a Local Data Analysis System in Highly Variable Terrain

http://www.met.utah.edu/jhorel/homepages/slazarus/adas.html