Evaluating and Extending Ensemble Predictions and Adaptive Sampling Guidance for Gliders and AUVs in Monterey Bay

Abstract

The "adaptive" deployment of autonomous underwater vehicles (AUVs) in coastal waters is expected to form a large part of future Navy operations. To prepare for this, the Adaptive Sampling and Prediction (ASAP) team is charged with developing and investigating methods to direct and utilize such vehicles, in order to assimilate their data into numerical ocean models and predict future conditions as accurately as possible. The long-term goal of the PI is to work with the ASAP team to provide a reliable and relocatable ensemble modeling and adaptive sampling framework, from which informed decisions on deployment of AUVs can be made rapidly. In the future, the methodology could be used to ask advanced questions on optimal, cost-efficient design of sensors and platforms, in conjunction with glider/AUV planning software, survey error metrics etc.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2008
Accession Number
ADA533814

Entities

People

  • Sharanya J. Majumdar

Organizations

  • University of Miami

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Autonomous Underwater Vehicles
  • Deployment
  • Guidance
  • Jet Propulsion
  • Oceans
  • Platforms
  • Sampling
  • Surveys
  • Test And Evaluation
  • Tropical Cyclones
  • Underwater Vehicles
  • Unmanned Vehicles
  • Vehicles
  • Wind Stress

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Robotics and Automation.
  • Systems Analysis and Design

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control