Nowcasting Cloud and Precipitation Fields Using the Remote Atmospheric Processing and Information Display (Rapid) System

Abstract

The Remote Atmospheric Processing and Information Display (RAPID) system has been developed at the Geophysics Directorate of Phillips Laboratory to provide an environment for the creation and testing of image processing techniques of remotely sensed data. The first objective of RAPID was to provide nowcasts of cloud and precipitation fields. This is done for cloud fields by tracking and extrapolating contours of infrared bright temperatures from a geostationary satellite. Precipitation fields are forecast by tracking and extrapolating radar reflectivity contours. Currently, there are three techniques in RAPID to extrapolate the future position and shape of contours. The three techniques are the Whole Contour, Segmentation, and Statistical Extrapolation methods. The are all similar in that the contours are represented mathematically, the mathematical features are extrapolated out in time, and forecasted features are used to construct the forecast contour. Tests of the three techniques were conducted using data from the GOES satellite (IR) and the Phillips Laboratory's 10-cm Doppler weather radar. The initial results indicate that, for both satellite and radar data, all three methods do show skill with respect to persistence and produce forecasts that are comparable to each other.

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Document Details

Document Type
Technical Report
Publication Date
Oct 08, 1991
Accession Number
ADA241662

Entities

People

  • Frank H. Ruggiero
  • Kenneth F. Heideman

Organizations

  • Phillips Laboratory

Tags

DTIC Thesaurus Topics

  • Air Force
  • Artificial Satellites
  • Atmospheric Sciences
  • Coordinate Systems
  • Correlation Techniques
  • Cross Correlation
  • Data Displays
  • Data Sets
  • Databases
  • Detection
  • Geosynchronous Satellites
  • Grids
  • Image Processing
  • Lead Time
  • Meteorology
  • Shape
  • Test And Evaluation

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Image Processing and Computer Vision.

Technology Areas

  • Space
  • Space - Space Objects