DocumentCode :
2140535
Title :
Incorporation of MODIS landcover data to improve land surface parameterization in the COAMPS numerical weather prediction model
Author :
Anantharaj, Valentine G. ; Fitzpatrick, Patrick J. ; King, Roger L. ; Wasson, Louis
Author_Institution :
GeoResources Inst., Mississippi State Univ., MS
Volume :
6
fYear :
2004
fDate :
20-24 Sept. 2004
Firstpage :
4095
Abstract :
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
Keywords :
soil; vegetation mapping; weather forecasting; COAMPS; LULC database; MODIS landcover data; Mississippi Gulf Coast; NASA; USGS; coupled ocean atmosphere mesoscale prediction system; historical AVHRR data; land cover; land surface parameterization; land use; moderate resolution imaging spectroradiometer MODIS sensors; numerical weather prediction model; soil property; vegetation property; Atmospheric modeling; Land surface; MODIS; Numerical models; Oceans; Predictive models; Sea surface; Soil properties; Vegetation mapping; Weather forecasting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
Type :
conf
DOI :
10.1109/IGARSS.2004.1370032
Filename :
1370032
Link To Document :
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