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Activity Number:
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32
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Type:
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Contributed
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Date/Time:
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Sunday, July 29, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics and the Environment
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| Abstract - #309358 |
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Title:
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Functional Linear Models for Daily and Yearly Streamflow Measures
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Author(s):
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Mark Greenwood*+ and Johnnie N. Moore and Joel T. Harper
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Companies:
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Montana State University and University of Montana and University of Montana
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Address:
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Department of Math Sciences, Bozeman, MT, 59717-2400,
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Keywords:
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functional data analysis ; functional linear model ; hydrology
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Abstract:
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Recent analyses of regional snow and river data for the late 20th century suggests that western North American snow pack has decreased (Mote et al. 2003) and the spring snow melt pulse has arrived earlier (Stewart et al. 2005). Stewart et al. (2005) found significant trends in various measures of spring runoff timing. This work analyzes streamflow runoff using functional linear models (Ramsay & Silverman, 2005) using data from 1951 to 2005 from 21 gages located on the Missouri and Columbia headwaters. Performing the analysis based on yearly summary measures is compared to analyzing daily flow measurements over the same time period. Potential inferences to the impacts of some forcing functions such as PDO and ENSO will also be explored.
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