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Activity Number:
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476
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Type:
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Contributed
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Date/Time:
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Thursday, August 7, 2008 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistics and the Environment
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| Abstract - #301751 |
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Title:
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Additive Mixed Models for Assessing Change in Yearly Streamflow Timing Measures in the Western United States
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Author(s):
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Mark C. Greenwood*+ and Johnnie Moore and Joel Harper
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Companies:
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Montana State University, Bozeman and University of Montana and University of Montana
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Address:
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Department of Mathematical Sciences, Bozeman, MT, 59717-2400,
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Keywords:
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hydrology ; additive mixed models ; spatial-temporal models ; climate change
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Abstract:
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Recent analyses of regional snow and river data for the late 20th century have suggested 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), but the results were less conclusive when adjustments for multiple testing were made in Moore et al. (2007). Streamflow discharge timing data for snow-melt dominated locations are considered for 1951 to 2005 on 21 gages located on the Missouri and Columbia headwaters. Additive mixed model methods (Wood, 2006) are used to estimate potential change over this time period and account for the impacts of total yearly streamflow discharge and climatological forcing functions such as PDO and ENSO. Additionally, spatial-temporal correlation structures are considered.
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