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Modelling mercury deposition through latent space–time processes
Author(s) -
Rappold Ana G.,
Gelfand Alan E.,
Holland David M.
Publication year - 2008
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.1111/j.1467-9876.2007.00608.x
Subject(s) - deposition (geology) , environmental science , precipitation , meteorology , interpolation (computer graphics) , mercury (programming language) , atmospheric sciences , computer science , hydrology (agriculture) , geology , geography , artificial intelligence , motion (physics) , paleontology , sediment , programming language , geotechnical engineering
Summary. The paper provides a space–time process model for total wet mercury deposition. Key methodological features that are introduced include direct modelling of deposition rather than of expected deposition, the utilization of precipitation information (there is no deposition without precipitation) without having to construct a precipitation model and the handling of point masses at 0 in the distributions of both precipitation and deposition. The result is a specification that enables spatial interpolation and temporal prediction of deposition as well as aggregation in space or time to see patterns and trends in deposition. We use weekly deposition monitoring data from the National Atmospheric Deposition Program–Mercury Deposition Network for 2003 restricted to the eastern USA and Canada. Our spatiotemporal hierarchical model allows us to interpolate to arbitrary locations and, hence, to an arbitrary grid, enabling weekly deposition surfaces (with associated uncertainties) for this region. It also allows us to aggregate weekly depositions at coarser, quarterly and annual, temporal levels.