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Incorporation of MODIS landcover data to improve land surface parameterization in the COAMPS numerical weather prediction model

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4 Author(s)
V. G. Anantharaj ; GeoResources Inst., Mississippi State Univ., MS, USA ; P. J. Fitzpatrick ; R. L. King ; L. Wasson

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 data, derived from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) sensors, into the COAMPS model, running on nested domains - centered over Mississippi Gulf Coast

Published in:

Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International  (Volume:6 )

Date of Conference:

20-24 Sept. 2004