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Author McGurk, Bruce J.

Title Correlation and prediction of snow water equivalent from snow sensors / Bruce J. McGurk, David L. Azuma.

Imprint Berkeley, Calif. : U.S. Dept. of Agriculture, Forest Service, Pacific Southwest Research Station, [1992]

Copies

Location Call No. OPAC Message Status
 Axe Federal Documents Online  A 13.78:PSW-RP-211    ---  Available
Description 1 online resource (ii, 13 pages).
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series Research paper PSW ; RP-211
Research paper PSW ; 211.
Note Title from title screen (viewed May 15, 2008).
"February 1992"--Page 2 of cover.
Bibliography Includes bibliographical references (page 13).
Access Use copy Restrictions unspecified star MiAaHDL
Summary Since 1982, under an agreement between the California Department of Water Resources and the USDA Forest Service, snow sensors have been installed and operated in Forest Service-administered wilderness areas in the Sierra Nevada of California. The sensors are to be removed by 2005 because of the premise that sufficient data will have been collected to allow "correlation" and, by implication, prediction of wilderness snow data by nonwilderness sensors that are typically at a lower elevation. Because analysis of snow water equivalent (SWE) data from these wilderness sensors would not be possible until just before they are due to be removed, "surrogate pairs" of high- and low-elevation snow sensors were selected to determine whether correlation and prediction might be achieved. Surrogate pairs of sensors with between 5 and 15 years of concurrent data were selected, and correlation and regression were used to examine the statistical feasibility of SWE prediction after "removal" of the wilderness sensors. Of the 10 pairs analyzed, two pairs achieved a correlation coefficient of 0.95 or greater. Four more had a correlation of 0.94 for the accumulation period after the snow season was split into accumulation and melt periods. Standard errors of estimate for the better fits ranged from 15 to 25 percent of the mean April 1 snow water equivalent at the high-elevation sensor. With the best sensor pairs, standard errors of 10 percent were achieved. If this prediction error is acceptable to water supply forecasters, sensor operation through 2005 in the wilderness may produce predictive relationships that are useful after the wilderness sensors are removed.
Reproduction Electronic reproduction. [S.l.] : HathiTrust Digital Library, 2010. MiAaHDL
System Details Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL
Processing Action digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL
Subject Snow -- Measurement.
Water-supply -- Forecasting.
Snow -- Measurement. (OCoLC)fst01121921
Water-supply -- Forecasting. (OCoLC)fst01172380
Added Author Azuma, David L.
Pacific Southwest Research Station.
Gpo Item No. 0083-B (online)
Sudoc No. A 13.78:PSW-RP-211

 
    
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