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Analyzing the Image Warp Forecast Verification Method on Precipitation Fields from the ICP

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Author

Summary, in English

Image warping for spatial forecast verification is applied to the test cases employed by the Spatial Forecast Verification Intercomparison Project (ICP), which includes both real and contrived cases. A larger set of cases is also used to investigate aggregating results for summarizing forecast performance over a long record of forecasts. The technique handles the geometric and perturbed cases with nearly exact precision, as would be expected. A statistic, dubbed here the IWS for image warp statistic, is proposed for ranking multiple forecasts and tested on the perturbed cases. IWS rankings for perturbed and real test cases are found to be sensible and physically interpretable. A powerful result of this study is that the image warp can be employed using a relatively sparse, preset regular grid without having to first identify features.

Publishing year

2010

Language

English

Pages

1249-1262

Publication/Series

Weather and Forecasting

Volume

25

Issue

4

Document type

Journal article

Publisher

American Meteorological Society

Topic

  • Probability Theory and Statistics

Status

Published

ISBN/ISSN/Other

  • ISSN: 0882-8156