Automated Verification of Mesoscale Forecasts using Image Processing Techniques

Abstract

The APL atmospheric sciences group is working to improve forecaster performance at Navy operational weather forecast detachments afloat and ashore. This work encompasses broad research and technology development in areas of visualization, human factors, human-machine interaction, and model and forecast verification with an emphasis on mesoscale ensembles and visualization of uncertainty. The verification effort's long-term goal is to develop an automated, objective verification technique for assessment of very high-resolution mesoscale predictions which accurately accounts for spatially or temporally misplaced features, false alarms and misses (Brown 2002).

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2005
Accession Number
ADA572870

Entities

People

  • David W. Jones
  • Scott A. Sandgathe

Organizations

  • University of Washington

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Amplitude
  • Atmospheric Sciences
  • Case Studies
  • Data Sets
  • Distortion
  • False Alarms
  • Graphical User Interface
  • High Resolution
  • Human-Machine Interaction
  • Image Processing
  • Physics Laboratories
  • Uncertainty
  • Verification
  • Visualizations
  • Warning Systems
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Sensor Fusion and Tracking Systems.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.