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Activity Number: 345
Type: Contributed
Date/Time: Tuesday, August 8, 2006 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Computing
Abstract - #307418
Title: Spatio-Temporal Precipitation Modeling Based on a Hidden Random Field
Author(s): Oleg Makhnin*+
Companies: New Mexico Tech
Address: 801 Leroy Place, Socorro, NM, 87801,
Keywords: precipitation estimation ; spatial statistics ; moisture flux direction ; random field ; MCMC
Abstract:

We present a precipitation modeling approach based on "moisture flux direction" (MFD) random field. The precipitation data are obtained from point (gauge) measurements in a mountainous terrain in Southwest US. We analyze the spatial distribution of moisture flux direction, as inferred from the data, and evolution of this and other model parameters (e.g. regression coefficients) in time. We also relate the inferred MFD to the existing weather indices (ENSO, PDO).

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