|Ryu, D - UNIV OF CA, IRVINE|
|Famiglietti, J - UNIV OF CA, IRVINE|
|Bindlish, R - SSAI, INC.|
Submitted to: American Geophysical Union
Publication Type: Abstract Only
Publication Acceptance Date: November 16, 2004
Publication Date: December 13, 2004
Citation: Ryu, D., Famiglietti, J.S., Bindlish, R., Jackson, T.J. 2004. Estimation of the spatial distribution of surface soil moisture using non-stationary geostatistical methods [abstract]. EOS Transactions, American Geophysical Union. 85(47), Fall Meeting Supplements. Abstract H13C-0434. Technical Abstract: The spatial distribution of surface moisture content within the upper 6-cm soil layer is estimated using both ground-based measurements and non-stationary geostatistical methods within a 50-km by 100-km region in Iowa during the Soil Moisture Experiments in 2002 (SMEX02). The non-stationary portion of the distribution (external drift) is calculated by applying hourly precipitation data in the simplified soil moisture dynamics equation. The covariance function of the residual random portion is derived from the spatial correlations of soil texture and vegetation water content. Estimated spatial covariance functions and soil moisture distributions are compared with those from Polarimetric Scanning Radiometer (PSR) soil moisture images taken during SMEX02.