HR: 11:45h
AN: H22A-06    [Abstracts]
TI: Assessing Spatial-Temporal Variability of Vegetation-Precipitation Interactions with Combined NEXRAD and MODIS Data
AU: * Brunsell, N A
EM: brunsell@ku.edu
AF: Department of Geography, University of Kansas, 1475 Jayhawk Blvd., Lindley Hall 117, Lawrence, KS 66045 United States
AU: Young, C B
EM: cbyoung@ku.edu
AF: Civil, Environmental, and Architectural Engineering, University of Kansas, 2150 Learned Hall, 1530 W. 15th Street, Lawrence, KS 66045 United States
AB: We address the spatial and temporal variability of the land surface's response to precipitation forcing events. We focus on the Missouri River Basin from January 17-October 2, 2002. The surface data consist of the Moderate Resolution Imaging Spectroradiometer (MODIS) surface temperature (8-day composite) and the Normalized Difference Vegetation Index (NDVI, 16-day composite). Spatially distributed precipitation estimates are derived from composited Next-Generation Radar (NEXRAD) data. The dominant temporal and spatial scales of surface response to precipitation are quantified through a variety of methods. Preliminary results will be presented, focusing upon correlation and lagged-covariances. In addition, information theory metrics (entropy, mutual information content) are used to characterize the information transfer between precipitation and the remotely sensed surface conditions at different temporal scales. The implications for water and energy cycling in spatially heterogeneous landscapes will be discussed.
DE: 1833 Hydroclimatology
DE: 1878 Water/energy interactions
DE: 3322 Land/atmosphere interactions
DE: 3360 Remote sensing
SC: Hydrology [H]
MN: 2005 Joint Assembly