Accession Number:

ADA626590

Title:

Statistical and Stochastic Problems in Ocean Modeling and Prediction, Stage II

Descriptive Note:

Annual rept.

Corporate Author:

UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES CENTER FOR APPLIED MATHEMATICAL SCIENCES

Personal Author(s):

Report Date:

2002-09-30

Pagination or Media Count:

6.0

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.

Subject Categories:

  • Physical and Dynamic Oceanography
  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE