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).

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2009
Accession Number
ADA531321

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

  • Acquisition
  • Algorithms
  • Arrays
  • Assimilation
  • Data Acquisition
  • Earth Sciences
  • Filters
  • High Resolution
  • Kalman Filters
  • Meteorological Radar
  • Meteorology
  • Observation
  • Phased Array Radar
  • Phased Arrays
  • Radar
  • Signal Processing
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Phased Array Antenna Design.