Enhanced Predictability Through Lagrangian Observations and Analysis
Abstract
Our long-term goal is better understanding of mesoscale and submesoscale ocean dynamics and their influence on transport processes. We are now focused on applying Lagrangian observations and analysis tools to ocean model velocities to: Predict the evolving path of sensor arrays; Evaluate the accuracy of Lagrangian predictions; and Use errors in Lagrangian predictions to provide feedback to the modelers on ways to improve model dynamics from the Lagrangian perspective.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 2008
- Accession Number
- ADA533826
Entities
People
- Albert D. Kirwan
- B. L. Lipphardt Jr.
Organizations
- University of Delaware