Evaluation of Assimilative SST Forecasts in the Okinawa Trough and Gulf of Mexico

Abstract

Regional ocean models assimilate a variety of sea surface temperature (SST) observations to bring their analyses and forecasts into agreement with measured conditions. We examine the skill of forecasts from the Naval Coastal Ocean Model (NCOM) implemented in the Okinawa Trough and Gulf of Mexico. Each of these is guided by satellite and in situ observations using three -dimensional variational assimilation (3DVAR) through the Navy Coupled Ocean Data Assimilation System (NCODA). The impact including various satellite data streams is evaluated by comparing model analyses and forecasts to unassimilated ship and buoy observations.

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Document Details

Document Type
Technical Report
Publication Date
Dec 06, 2012
Accession Number
ADA580943

Entities

People

  • Charlie N. Barron
  • Jan M. Dastugue
  • Peter L. Spence

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Satellites
  • Assimilation
  • Databases
  • Delphi Method
  • Errors
  • Measurement
  • Military Research
  • North America
  • Observation
  • Oceans
  • Sea Surface Temperature
  • Simulations
  • Solar Radiation
  • Standards
  • Statistics
  • Surface Temperature

Fields of Study

  • Environmental science

Readers

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

Technology Areas

  • Space