Collaborative Decision Making in METOC

Abstract

Reducing the time spent to generate accurate weather forecasts will produce significant value for Naval forces (Ballas, 2001). Forecasters rely on deterministic models (Palmer, 2000), a problem when forecast uncertainty increases. This solution bias is less of a concern during fair weather. But as weather warnings increase, collaboration has been found to counter solution bias to improve weather forecasts and air traffic flow for commercial carriers (Nadler, 2000). Naval forces collaborate over weather products, too, but often ad hoc. This research addresses the value of collaboration for weather forecasts in the fleet and social computational models to improve collaboration.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2002
Accession Number
ADA520349

Entities

People

  • W. F. Lawless

Organizations

  • Paine College

Tags

Communities of Interest

  • Autonomy
  • Engineered Resilient Systems
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Air Traffic
  • Air Traffic Control Systems
  • Artificial Intelligence
  • Control Systems
  • Cooperation
  • Environmental Restoration And Remediation
  • Game Theory
  • Information Processing
  • Mathematics
  • Military Research
  • Multiagent Systems
  • New York
  • Psychology
  • Social Psychology
  • Social Sciences
  • Teamwork
  • United States

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Computational Modeling and Simulation
  • Computer Networking