Coastal Ocean Modeling and Observation Program: Real-time Adaptive Sampling Networks

Abstract

LONG-TERM GOALS. The long-term goal of our coordinated ONR (COMOP/HyCODE) and NOPP research efforts is the development and validation of a relocatable coastal ocean forecasting system consisting of a coupled atmospheric-hydrodynamic-optical data-assimilative numerical model and a multi-platform real-time adaptive sampling network for use in physical/bio-optical applications worldwide. OBJECTIVES. Specific current objectives include: (a) Implementation of a comprehensive coastal prediction system incorporating atmospheric, benthic and bio-optical submodels; (b) Construction of shipboard/autonomous subsurface sampling network beneath spatially extensive remotely sensed surface observations; (c) Development of data-assimilative and visualization interfaces for model-directed adaptive sampling; and (d) Evaluation of nowcast/forecast skill in multiple regions.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1999
Accession Number
ADA629699

Entities

People

  • Dale B. Haidvogel
  • Oscar M. Schofield
  • Scott M. Glenn

Organizations

  • Rutgers University–New Brunswick

Tags

Communities of Interest

  • Autonomy
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Boundary Layer
  • Communication Systems
  • Computer Networks
  • Electronic Mail
  • Layers
  • Networks
  • New Brunswick
  • New Jersey
  • Observation
  • Ocean Observing Systems
  • Oceanography
  • Oceans
  • Optical Properties
  • Remote Sensing
  • Sampling
  • Shallow Water

Fields of Study

  • Environmental science

Readers

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