Statistical and Stochastic Problems in Ocean Modeling and Prediction
Abstract
My project addresses statistical and stochastic problems in the following fields: Lagrangian data assimilation (1), Lagrangian prediction (2), development and validation of Lagrangian stochastic models (LSM) (3). The long range scientific objectives of this study comprise rigorous determining limits of predictability for Lagrangian motion in semi-enclosed seas, littoral zones, and straits on time scales of days and weeks, elaborating concrete prediction schemes, developing optimal Lagrangian data assimilation algorithms, and identification of multi particle stochastic models aimed at incorporating them to ocean circulation models (OCM).
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 2007
- Accession Number
- ADA578327
Entities
People
- L. I. Piterbarg
Organizations
- University of Southern California