Merging Disparate Data and Numerical Model Results for Dynamically Constrained Nowcasts
Abstract
Our long-term goal is to quantify submesoscale dynamical processes in the ocean so that we can better understand their interactions with motions at larger scales. In particular, we focus on the following four areas: 1. Small-scale coastal process studies; 2. Understanding small-scale advective exchange and stirring; 3. Model assessment, enhancement, and assimilation; 4. Use of high-resolution disparate (HRD) ocean surface data to infer subsurface flow conditions. Our objective is to develop dynamically consistent nowcasts of the surface velocity field by combining disparate observations from sensors like HF radar, Lagrangian drifters, current meters, ADCPs and passive remote sensing. When needed, open boundary flow information from any source (observations, models, climatology, etc.) is used. The nowcasts can be analyzed to understand coastal processes, to infer aspects of the subsurface flow, or to assimilate into a numerical model. Recently developed dynamical systems templates can also be used to study the mixing characteristics of the nowcast field.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 2000
- Accession Number
- ADA609842
Entities
People
- Albert D. Kirwan
- B. L. Lipphardt Jr.
Organizations
- University of Delaware