Meteorological Studies With the Phased Array Weather Radar and Data Assimilation Using the Ensemble Kalman Filter

Abstract

The long-term goal of this project is to integrate two state-of-the-art technologies, the phased array weather radar (PAR) and the emerging Ensemble Kalman Filter (EnKF) data assimilation method, to optimize the radar performance and improve coastal and marine numerical weather prediction (NWP).

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2006
Accession Number
ADA611916

Entities

People

  • Mark Yeary
  • Michael Biggerstaff
  • Ming Xue
  • Robert Palmer
  • Sebastian Torres
  • Tian-you Yu

Organizations

  • University of Oklahoma

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Arrays
  • Assimilation
  • Filters
  • High Resolution
  • Kalman Filters
  • Measurement
  • Meteorological Radar
  • Phased Array Radar
  • Phased Arrays
  • Radar
  • Scanning
  • Signal Processing
  • Simulations
  • Statistical Algorithms
  • Statistical Analysis
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Phased Array Antenna Design.
  • Sensor Fusion and Tracking Systems.