Metrics for evaluating linear features
Date
2008
Authors
Levy, G.
Coon, M.
Nguyen, G.
Sulsky, D.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
Geophysical Research Letters, 2008; 35(21):L21705-1-L21705-4
Statement of Responsibility
Gad Levy, Max Coon, Giang Nguyen and Deborah Sulsky
Conference Name
Abstract
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.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
Copyright 2008 by the American Geophysical Union