Adaptive error estimation in linearized ocean general circulation models /

Data assimilation methods, such as the Kalman filter, are routinely used in oceanography. The statistics of the model and measurement errors need to be specified a priori. In this study we address the problem of estimating model and measurement error statistics from observations. We start by testing...

Full description

Bibliographic Details
Main Author: Chechelnitsky, Michael Y (Michael Yurievich), 1972-
Corporate Authors: Joint Program in Physical Oceanography, Massachusetts Institute of Technology Department of Earth, Atmospheric, and Planetary Sciences, Woods Hole Oceanographic Institution
Format: Thesis Book
Language:English
Published: ©1999
Subjects:

Internet

This item is not available through BorrowDirect. Please contact your institution’s interlibrary loan office for further assistance.

Massachusetts Institute of Technology

Holdings details from Massachusetts Institute of Technology
Call Number: THESIS Thesis EAPS 1999 Ph.D.