The Radar-Based Short Term Prediction of the Time-Space Evolution of Rain Fields

Abstract

A new method is developed in order to track and predict in short term (15 min - hr lead times) the spatial configurations, the velocity vectors and the rain intensity textures of the potentially flood producing rain fields that are detected on a radar scope. First, the rain field is decomposed into simple, tractable elements. Then a statistical adaptive forecasting scheme is developed in order to predict the evolution of each of these elements in time and space. The composition of these elements forms the complete rain field with respect to its spatial configuration, location and rain intensity texture at each prediction lead time. The method is currently being applied to the radar data of rain fields. Some application results are given.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1989
Accession Number
ADA213802

Entities

People

  • M. L. Kavvas
  • Zexun Chen

Organizations

  • University of California, Davis

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Atmospheric Sciences
  • Civil Engineering
  • Classification
  • Detectors
  • Engineering
  • Geographic Regions
  • Lead Time
  • Meteorology
  • Observation
  • Pattern Recognition
  • Rainfall
  • Recognition
  • Remote Detectors
  • Security
  • Trajectories
  • Weather Forecasting

Readers

  • Atmospheric Science/Meteorology
  • Computational Modeling and Simulation

Technology Areas

  • Space