A Partnership for Modeling the Marine Environment of Puget Sound, Washington

Abstract

Our long-term goals are to develop quantitative understanding of the Sound's circulation and marine ecosystem, and of the sensitivity of the physical and the biological system to natural and human perturbations; and to develop models of Puget Sound that can aid agencies with responsibilities for environmental management in making informed decisions and serve as marine science education tools. Our partnership will develop, maintain and operate a suite of flexibly linked simulation models of Puget Sound's circulation and ecosystem, a data management system for archiving and exchanging oceanographic data and model results that are accessible to all members of the partnership as well as to the regional and oceanographic community, and an effective delivery interface for the model results and observational data for research, education and policy formulation. Our partnership will conduct scientific research aimed at developing fundamental understanding of the Sound's working, as well as addressing practical questions raised by the regional community concerning management of the Sound and its resources. Our partnership will function as an estuarine research node within the NOPP Ocean Information Commons.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2005
Accession Number
ADA483120

Entities

People

  • Allan Devol
  • Frederick R. Stahr
  • Jan Newton
  • Mark Warner
  • Miles Logsdon
  • Mitsuhiro Kawase
  • Pengfei Wang
  • Robert K. Johnston
  • Skip Albertson
  • W. P. Winn

Organizations

  • University of Washington

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Bays
  • Data Management
  • Department Of State
  • Ecosystems
  • Education
  • Environment
  • Environmental Assessment
  • Environmental Management
  • Instructors
  • National Security
  • Natural Resources
  • Oceanography
  • Oceans
  • Predictive Modeling
  • Puget Sound
  • Schools
  • Simulations

Fields of Study

  • Environmental science

Readers

  • Defense Technology Research and Development.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Systems Analysis and Design