JSM 2011 Online Program

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Abstract Details

Activity Number: 420
Type: Contributed
Date/Time: Tuesday, August 2, 2011 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics and the Environment
Abstract - #303311
Title: Dynamic Spatio-Temporal Models for the Diurnal Cycle
Author(s): Jonathan Hobbs*+
Companies: Iowa State University
Address: 2804 Stange Rd #8, Ames, IA, 50010,
Keywords: dynamic model ; spatio-temporal ; spatial statistics ; meteorology
Abstract:

Many environmental processes exhibit a characteristic diurnal cycle, which can vary in complex ways in space and time. Spatio-temporal models with dynamically-evolving parameters are flexible tools for characterizing the evolution of the diurnal cycle. Bayesian analysis of models of varying complexity reveals combinations of parameters that exhibit a diurnal cycle and that vary spatially or from day-to-day. Applications to regional fields of atmospheric humidity and precipitation are presented. Day-to-day variability in the large-scale mean and small-scale variability are noticeable in these moisture fields for the region of interest.


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