Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/8505
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dc.contributorCold Regions Research and Engineering Laboratory (U.S.)-
dc.contributor.authorSkahill, Brian E. (Brian Edward)-
dc.contributor.authorFrankenstein, Susan-
dc.date.accessioned2016-06-20T13:27:22Z-
dc.date.available2016-06-20T13:27:22Z-
dc.date.issued2006-04-
dc.identifier.urihttp://hdl.handle.net/11681/8505-
dc.descriptionTechnical Report-
dc.descriptionAbstract: 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.-
dc.publisherCoastal and Hydraulics Laboratory (U.S.)-
dc.publisherEngineer Research and Development Center (U.S.)-
dc.relationhttp://acwc.sdp.sirsi.net/client/en_US/search/asset/1002722-
dc.relation.ispartofseriesERDC TR ; 06-1.-
dc.rightsApproved for public release; distribution is unlimited.-
dc.sourceThis Digital Resource was created in Microsoft Word and Adobe Acrobat-
dc.subjectFASST-
dc.subjectFast All-season Soil STrength-
dc.subjectComputer programs-
dc.subjectModel calibration-
dc.subjectPredictive error variance-
dc.subjectRegularization-
dc.subjectSoil moisture-
dc.subjectYuma (Ariz.)-
dc.titleFASST soil moisture prediction error at Yuma, Arizona-
dc.typeReporten_US
Appears in Collections:Technical Report

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