Accession Number:

ADA522784

Title:

Progress and Prospects of U.S. Data Assimilation in Ocean Research

Descriptive Note:

Journal article

Corporate Author:

HARVARD UNIV CAMBRIDGE MA

Report Date:

2006-03-01

Pagination or Media Count:

13.0

Abstract:

This report summarizes goals, activities, and recommendations of a workshop on data assimilation held in Williamsburg, Virginia on September 9-11, 2003, and sponsored by the U.S. Office of Naval Research ONR and National Science Foundation NSF. The overall goal of the workshop was to synthesize research directions for ocean data assimilation DA and outline efforts required during the next 10 years and beyond to evolve DA into an integral and sustained component of global, regional, and coastal ocean science and observing and prediction systems. The workshop built on the success of recent and existing DA activities such as those sponsored by the National Oceanographic Partnership Program NOPP and NSF-Information Technology Research NSF-ITR. DA is a quantitative approach to optimally combine models and observations. The combination is usually consistent with model and data uncertainties, which need to be represented. Ocean DA can extract maximum knowledge from the sparse and expensive measurements of the highly variable ocean dynamics. The ultimate goal is to better understand and predict these dynamics on multiple spatial and temporal scales, including interactions with other components of the climate system.

Subject Categories:

  • Meteorology
  • Physical and Dynamic Oceanography

Distribution Statement:

APPROVED FOR PUBLIC RELEASE