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, 2007
Accession Number
ADA541363

Entities

People

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

Organizations

  • University of Oklahoma

Tags

Communities of Interest

  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Arrays
  • Assimilation
  • Filters
  • High Resolution
  • Kalman Filters
  • Meteorological Radar
  • Meteorology
  • Phased Array Radar
  • Phased Arrays
  • Radar
  • Radial Velocity
  • Signal Processing
  • Simulations
  • Three Dimensional
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Atmospheric Science/Meteorology
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers