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Soil moisture data collection and water supply forecasting

dc.contributor.authorJulander, Randall P., author
dc.contributor.authorPerkins, Tom, author
dc.contributor.authorU.S. Committee on Irrigation and Drainage, publisher
dc.date.accessioned2020-03-31T11:54:34Z
dc.date.available2020-03-31T11:54:34Z
dc.date.issued2004-10
dc.descriptionPresented during the USCID water management conference held on October 13-16, 2004 in Salt Lake City, Utah. The theme of the conference was "Water rights and related water supply issues."
dc.description.abstractExtreme deviations in hydroclimatic conditions are a source of considerable error in statistical water supply forecast models. Much attention has been given over the past years to the relationship between snowpack, precipitation and streamflow (Martinec, 1975, Hawley, et al. 1980, McCuen, 1993). These relationships tend to vary in strength, but in large part have been satisfactory for water supply forecasting purposes. Increased demands on water resources have led to crises in water management and ways are being sought to improve water supply forecasting. Many other hydroclimatic variables such as soil moisture are implicit in these statistical relationships. As long as these variables (soil moisture) remain proportional to the independent variables (snowpack, precipitation, etc.) in the forecasting relationship, then the model will be stable. If there is some amount of disproportion, then the model will most likely produce significant error. Such a case in northern Utah is presented with a limited database. The success of this instrumentation has led to a broader scale application with the goal of complete soil moisture and temperature sensor installations at all SNOTEL sites system wide. Currently, soil moisture data are being incorporated into water supply forecasting in an analog method with some success.
dc.description.sponsorshipProceedings sponsored by the U.S. Department of the Interior, Central Utah Project Completion Act Office and the U.S. Committee on Irrigation and Drainage.
dc.format.mediumborn digital
dc.format.mediumCD-ROMs
dc.format.mediumproceedings (reports)
dc.identifier.urihttps://hdl.handle.net/10217/201641
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofAg Water Conservation Policy
dc.relation.ispartofWater rights and related water supply issues, October 13-16, 2004, Salt Lake City, Utah
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.sourceContained in: Water rights and related water supply issues, Salt Lake City, Utah, October 13-16, 2004, http://hdl.handle.net/10217/46435
dc.titleSoil moisture data collection and water supply forecasting
dc.typeText

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