Statistical and Stochastic Problems in Ocean Modeling and Prediction, Stage II
Abstract
My project addresses statistical and stochastic problems in the following fields: Lagrangian prediction (1), Lagrangian data assimilation (2), and ocean model validation (3). The long range scientific objectives of this study comprise rigorous determining limits of predictability for the 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 constructing and testing discrepancy measures (metrics) for comparison of modeled and observed time series of oceanic parameters to improve performance of numerical models.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 2002
- Accession Number
- ADA626590
Entities
People
- L. I. Piterbarg
Organizations
- University of Southern California