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