This project is an application of modern Bayesian hierarchical methods of statistical analysis to the problem of ocean state estimation. The goal is to use this statistical technique to combine hydrographic data, dynamical constraints, and knowledge about the uncertainties in both observations and dynamical assumptions, to arrive at: (a) slowly varying maps of oceanic property fields on a selection of isopycnals in the North Atlantic, (b) an estimate of the probability distribution function for possible states of the North Atlantic circulation consistent with the available data. The project unites statisticians and ocean scientists and provides training in interdisciplinary research for a graduate student and two post-doctoral researchers.

Agency
National Science Foundation (NSF)
Institute
Division of Atmospheric and Geospace Sciences (AGS)
Type
Standard Grant (Standard)
Application #
0222057
Program Officer
Peter J. Milne
Project Start
Project End
Budget Start
2002-09-01
Budget End
2006-08-31
Support Year
Fiscal Year
2002
Total Cost
$134,520
Indirect Cost
Name
University of Missouri-Columbia
Department
Type
DUNS #
City
Columbia
State
MO
Country
United States
Zip Code
65211