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

Gilleland, Eric; Lindström, Johan LU and Lindgren, Finn LU (2010) In Weather and Forecasting 25(4). p.1249-1262
Abstract
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Weather and Forecasting
volume
25
issue
4
pages
1249 - 1262
publisher
American Meteorological Society
external identifiers
  • wos:000280731800014
  • scopus:77955588494
ISSN
0882-8156
DOI
10.1175/2010WAF2222365.1
project
MERGE
BECC
language
English
LU publication?
yes
id
94ff433c-8538-4e7e-8c19-da1cbb4b3183 (old id 1674020)
date added to LUP
2010-09-22 14:32:27
date last changed
2018-05-29 11:31:28
@article{94ff433c-8538-4e7e-8c19-da1cbb4b3183,
  abstract     = {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.},
  author       = {Gilleland, Eric and Lindström, Johan and Lindgren, Finn},
  issn         = {0882-8156},
  language     = {eng},
  number       = {4},
  pages        = {1249--1262},
  publisher    = {American Meteorological Society},
  series       = {Weather and Forecasting},
  title        = {Analyzing the Image Warp Forecast Verification Method on Precipitation Fields from the ICP},
  url          = {http://dx.doi.org/10.1175/2010WAF2222365.1},
  volume       = {25},
  year         = {2010},
}