This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 525
Type: Contributed
Date/Time: Wednesday, August 4, 2010 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics and the Environment
Abstract - #309131
Title: Assessing Variation in the Spatio-Temporal Dynamics of Intermountain Snow Water Storage
Author(s): James B. Odei*+ and Mevin B. Hooten
Companies: Utah State University and Utah State University
Address: 3900 Old Main Hill, Logan, UT, 84322,
Keywords: Empirical Orthogonal Functions ; Hierarchical Bayesian Model ; SNOTEL ; Snow Water Equivalent

Due to increasing water demand and regional drought, there is an urgency to monitor and forecast the water resources in the Western United States. With Intermountain West water resources heavy reliance on snow water storage, a better understanding of snowpack allows for effective management of these water resources throughout the water year. Based on exploratory analyses that indicate snow accumulation dynamics are spatially varying, we employ a data-based statistical spatio-temporal model that characterizes seasonal snow water equivalent in terms of a nested time-series with spatially correlated dynamical parameters. We use SNOTEL data to implement this model and obtain inference regarding the importance of both environmental and climatic covariates.

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