10th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS)

8.3

Influences of MODIS landuse data on a Gulf Coast sea breeze simulation

Valentine Anantharaj, Mississippi State University, Starkville, MS; and P. J. Fitzpatrick, Y. Li, R. King, and E. Johnson

The vegetation and soil properties at the land surface exert significant influence over short-term weather forecasts of numerical weather prediction (NWP) models. The Coupled Ocean Atmosphere Mesoscale Prediction System (COAMPS) derives the necessary land surface properties from the USGS 1- km global land-use/land-cover (LULC) database, which is based on historical AVHRR data. A methodology has been developed to incorporate the LULC, derived from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) sensors, into the COAMPS model, running on nested domains centered over Mississippi Gulf Coast. The impact of these two landuse databases on the sea breeze is being investigated through thermodynamic budget calculations. These results will be presented at the conference.

extended abstract  Extended Abstract (328K)

Session 8, LAND-SURFACE OBSERVATIONS, INCLUDING URBAN AREA: SURFACE CHARACTERISTICS, SURFACE FLUXES AND THEIR EFFECT ON BOUNDARY LAYER DEPTH; APPLICATIONS IN PUBLIC HEALTH, TRANSPORT MODELS, AND EMERGENCY RESPONSE: Part 2
Wednesday, 1 February 2006, 4:00 PM-5:15 PM, A405

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