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Title: FASST soil moisture prediction error at Yuma, Arizona
Authors: Cold Regions Research and Engineering Laboratory (U.S.)
Skahill, Brian E. (Brian Edward)
Frankenstein, Susan.
Keywords: FASST
Fast All-season Soil STrength
Computer programs
Model calibration
Predictive error variance
Soil moisture
Issue Date: Apr-2006
Publisher: Coastal and Hydraulics Laboratory (U.S.)
Engineer Research and Development Center (U.S.)
Series/Report no.: ERDC TR ; 06-1.
Description: Technical Report
Abstract: A linear predictive error variance analysis was employed using the one-dimensional state-of-the-ground dynamic model FASST (Fast All-season Soil STrength) and calibration data for Yuma, Arizona (Frankenstein and Koenig 2004). The analysis was performed with the intent to quantify soil moisture predictive error and to examine ways in which it could be reduced, in particular, to demonstrate a methodology wherein one can examine the contribution from each individual model parameter to overall soil moisture predictive error variance.
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