Bio-optical Dynamics and the Forecasting of Bio-optical Variability in the Sea

Abstract

LONG-TERM GOAL. Research on oceanic bio-optical processes and the prediction of ocean bio-optical properties requires coupled physical-biological-chemical models with the capability of real data initialization and assimilation. The goal is to develop and prove such models, focusing specifically on the biooptical component. Ultimately, this research is directed towards the understanding of optical and biological processes in the sea, their variability and their response and sensitivities to local and remote forcings. OBJECTIVES. The scientific/technical objectives of this project are i) to develop the bio-optical model component of the Harvard Ocean Prediction System (HOPS); ii) to apply the bio-optical model to the study of real ocean dynamical processes which govern the variability of bio-optical properties and associated effects on biogeochemical and ecosystem dynamical processes; iii) to initiate the development of a predictive capability for nowcasting and forecasting bio-optical variability in the coastal ocean and the deep sea, and iv) to develop data assimilation capabilities for satellite ocean color and other bio-optical data.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1997
Accession Number
ADA633507

Entities

People

  • Allan Richard Robinson

Organizations

  • Harvard University

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Artificial Satellites
  • Assimilation
  • Biological Processes
  • Calibration
  • Chlorophylls
  • Coastal Regions
  • Data Sets
  • Delphi Method
  • Dynamics
  • Engineering
  • Information Operations
  • Jet Propulsion
  • Oceans
  • Optical Properties
  • Phytoplankton
  • Sensitivity
  • United States

Fields of Study

  • Environmental science

Readers

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

Technology Areas

  • Space