Quantifying the Amplitude, Structure and Influence of Model Error During Ocean Analysis and Forecast Cycles

Abstract

The primary objective of the proposed research is to develop a weak constraint, 4-dimensional variational (4D-Var) data assimilation capability for the Regional Ocean Modeling System (ROMS) with application to the California Current System (CCS). The CCS is of considerable socio-economic and strategic significance to the United States, and ROMS CCS has transitioned to a near real-time analysis system in support of the U.S. west coast components of the Integrated Ocean Observing System (IOOS). This project is therefore very timely given the limiting nature of model errors on coastal ocean prediction.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2013
Accession Number
ADA601707

Entities

People

  • Andrew M. Moore
  • Chris Edwards
  • Ralph F. Millif

Organizations

  • University of California, Santa Cruz

Tags

Communities of Interest

  • Advanced Electronics
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Amplitude
  • Assimilation
  • California
  • Convergence
  • Covariance
  • High Resolution
  • Low Resolution
  • Models
  • Observation
  • Ocean Currents
  • Ocean Observing Systems
  • Oceans
  • Students
  • Temperature Gradients
  • United States
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers