Metrics for evaluating linear features

Novel metrics designed to evaluate the skill of geophysical models in simulating discontinuities and linear features are introduced and tested using a sea-ice model and remotely sensed observations of leads. The metrics are formulated as frequency-based indices of agreement, thus maintaining the sim...

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Bibliographic Details
Published in:Geophysical Research Letters
Main Authors: Levy, G., Coon, M., Nguyen, G., Sulsky, D.
Format: Article in Journal/Newspaper
Language:English
Published: American Geophysical Union 2008
Subjects:
Online Access:http://hdl.handle.net/2440/86181
https://doi.org/10.1029/2008GL035086
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spelling ftunivadelaidedl:oai:digital.library.adelaide.edu.au:2440/86181 2023-12-17T10:49:49+01:00 Metrics for evaluating linear features Levy, G. Coon, M. Nguyen, G. Sulsky, D. 2008 http://hdl.handle.net/2440/86181 https://doi.org/10.1029/2008GL035086 en eng American Geophysical Union Geophysical Research Letters, 2008; 35(21):L21705-1-L21705-4 0094-8276 1944-8007 http://hdl.handle.net/2440/86181 doi:10.1029/2008GL035086 Copyright 2008 by the American Geophysical Union http://dx.doi.org/10.1029/2008gl035086 linear features metric skill score sea ice Journal article 2008 ftunivadelaidedl https://doi.org/10.1029/2008GL03508610.1029/2008gl035086 2023-11-20T23:34:19Z Novel metrics designed to evaluate the skill of geophysical models in simulating discontinuities and linear features are introduced and tested using a sea-ice model and remotely sensed observations of leads. The metrics are formulated as frequency-based indices of agreement, thus maintaining the simplicity desired in model development and operational applications, while remedying known shortcomings of common existing skill metrics. User-selectable spatial scales and features of significance allow for the general use of the metrics in variable applications, scales, and observation types. Gad Levy, Max Coon, Giang Nguyen and Deborah Sulsky Article in Journal/Newspaper Sea ice The University of Adelaide: Digital Library Levy ENVELOPE(-66.567,-66.567,-66.320,-66.320) Geophysical Research Letters 35 21
institution Open Polar
collection The University of Adelaide: Digital Library
op_collection_id ftunivadelaidedl
language English
topic linear features
metric
skill score
sea ice
spellingShingle linear features
metric
skill score
sea ice
Levy, G.
Coon, M.
Nguyen, G.
Sulsky, D.
Metrics for evaluating linear features
topic_facet linear features
metric
skill score
sea ice
description Novel metrics designed to evaluate the skill of geophysical models in simulating discontinuities and linear features are introduced and tested using a sea-ice model and remotely sensed observations of leads. The metrics are formulated as frequency-based indices of agreement, thus maintaining the simplicity desired in model development and operational applications, while remedying known shortcomings of common existing skill metrics. User-selectable spatial scales and features of significance allow for the general use of the metrics in variable applications, scales, and observation types. Gad Levy, Max Coon, Giang Nguyen and Deborah Sulsky
format Article in Journal/Newspaper
author Levy, G.
Coon, M.
Nguyen, G.
Sulsky, D.
author_facet Levy, G.
Coon, M.
Nguyen, G.
Sulsky, D.
author_sort Levy, G.
title Metrics for evaluating linear features
title_short Metrics for evaluating linear features
title_full Metrics for evaluating linear features
title_fullStr Metrics for evaluating linear features
title_full_unstemmed Metrics for evaluating linear features
title_sort metrics for evaluating linear features
publisher American Geophysical Union
publishDate 2008
url http://hdl.handle.net/2440/86181
https://doi.org/10.1029/2008GL035086
long_lat ENVELOPE(-66.567,-66.567,-66.320,-66.320)
geographic Levy
geographic_facet Levy
genre Sea ice
genre_facet Sea ice
op_source http://dx.doi.org/10.1029/2008gl035086
op_relation Geophysical Research Letters, 2008; 35(21):L21705-1-L21705-4
0094-8276
1944-8007
http://hdl.handle.net/2440/86181
doi:10.1029/2008GL035086
op_rights Copyright 2008 by the American Geophysical Union
op_doi https://doi.org/10.1029/2008GL03508610.1029/2008gl035086
container_title Geophysical Research Letters
container_volume 35
container_issue 21
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