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:
https://lup.lub.lu.se/record/1674020
- author
- Gilleland, Eric
; Lindström, Johan
LU
and Lindgren, Finn
LU
- organization
- publishing date
- 2010
- 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
- language
- English
- LU publication?
- yes
- id
- 94ff433c-8538-4e7e-8c19-da1cbb4b3183 (old id 1674020)
- date added to LUP
- 2016-04-01 13:42:13
- date last changed
- 2022-02-19 06:56:51
@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}},
doi = {{10.1175/2010WAF2222365.1}},
volume = {{25}},
year = {{2010}},
}