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Abstract Details

Activity Number: 303
Type: Contributed
Date/Time: Tuesday, July 31, 2012 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics and the Environment
Abstract - #306802
Title: Bivariate Spatio-Temporal Modeling for the Hydrological Cycle of the Central United States
Author(s): Jonathan Hobbs*+
Companies: Iowa State University
Address: 2804 Stange Road, Ames, IA, 50010-4019, United States
Keywords: precipitation ; spatial statistics ; meteorology ; spatio-temporal model ; hierarchical model

Environmental variables are often linked by basic conservation laws that characteristic sources and sinks for particular quantities. These simple relationships can be incorporated into stochastic models for the space-time variation of multiple variables. This work uses the water vapor budget to link atmospheric water vapor transport and precipitation over the central United States during the summer season. A bivariate spatio-temporal model is developed that incorporates important characteristics of these fields; including a spatially-varying low-amplitude diurnal cycle, strong regional-scale relationships between the fields that change with time, and local spatial and cross-variable dependence. These components are linked conditionally in a hierarchical model, and Bayesian analysis is illustrated for a multi-year dataset from a combination of sources.

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