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Abstract Details
Activity Number:
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420
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Type:
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Contributed
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Date/Time:
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Tuesday, August 2, 2011 : 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 - #303311 |
Title:
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Dynamic Spatio-Temporal Models for the Diurnal Cycle
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Author(s):
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Jonathan Hobbs*+
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Companies:
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Iowa State University
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Address:
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2804 Stange Rd #8, Ames, IA, 50010,
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Keywords:
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dynamic model ;
spatio-temporal ;
spatial statistics ;
meteorology
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Abstract:
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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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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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