88th Annual Meeting (20-24 January 2008)

Wednesday, 23 January 2008: 4:45 PM
Lake Breeze simulation using an integrated RAMS and LIS modeling systems evaluated using ARMOR radar observations
223 (Ernest N. Morial Convention Center)
Salvi Asefi, University of Alabama, Huntsville, AL; and U. S. Nair, V. Anantharaj, K. Knupp, and Y. Wu
The focus of this project is to investigate the feasibilities of Lake Breeze simulation using RAMS (Regional Atmospheric Modeling System) coupled with LIS (Land Information System).

Advanced Radar for Meteorological and Operational Research (ARMOR) observations will be used to evaluate the results of the simulation.

A lake breeze circulation forced by an anthropogenic lake located in Alabama (Wheeler Lake) forms considerable flow perturbations in the convective boundary layer on low wind days.

Such flows are significant enough to create convective initiation and therefore vortical circulations on the order of 10 km in diameter are created.

The region of study include a variety of land surface characteristics such as large reservoir on the Tennessee River, Huntsville urban area, large expanses of both agricultural and forested regions and a topography variation of 170-450 m which includes Tennessee River valley and a small mountain to the South and the East.

ARMOR facility in the vicinity of Huntsville area and Tennessee River has provided the capability of boundary layer measurements within a 50km range of the radar.

Observations show the frequent occurrence of convergent and divergent zones most significant during May when the surface heat flux variations is low over cool water and high over the bare soil of adjacent agricultural region. Observations show considerable spatial and temporal variability in the structure of large eddies.

LIS is a model that runs multiple Land Surface Models (LSMs) using high computing systems and configurable features.

A series of simulation experiments using the RAMS is conducted to understand the processes responsible for Lake Breeze generation. We will use high resolution LIS output to initialize RAMS. The high resolution soil moisture resulted from a 2 years spin up time of LIS is ingested into RAMS.

Supplementary URL: