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:
linear features
metric
skill score
sea ice
Levy
Sea ice
Online Access:http://hdl.handle.net/2440/86181
https://doi.org/10.1029/2008GL035086
Description
Summary: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

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