Adaptive Sampling During AOSN-II

Abstract

The main purpose of the Autonomous Ocean Sampling Network (AOSN) is to provide an integrated framework in which data collected from underwater robotic vehicles are utilized in numerical ocean models, in order to improve predictive skill of physical, chemical and biological aspects of the coastal ocean. The research documented in this report is aimed at developing an objective strategy to identify locations for observational data to be collected, to improve 0-3 day ocean model forecasts. In the future, a trustworthy "adaptive sampling" or "targeting" strategy may be used operationally to coordinate deployments of multiple mobile observational platforms on a daily basis.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2003
Accession Number
ADA620408

Entities

People

  • Sharanya J. Majumdar

Organizations

  • Rosenstiel School of Marine, Atmospheric, and Earth Science

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Aircrafts
  • Autonomous Underwater Vehicles
  • Deployment
  • Filters
  • Jet Propulsion
  • Kalman Filters
  • Observation
  • Oceans
  • Platforms
  • Sampling
  • Software Development
  • Statistical Estimation
  • Stresses
  • Targeting
  • Unmanned Vehicles
  • Vehicles
  • Wind Stress

Fields of Study

  • Environmental science

Readers

  • Distributed Systems and Data Platform Development
  • Oceanography.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • Autonomy
  • Autonomy - Autonomous System Control