Statistics – Computation
Scientific paper
Nov 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008georl..3521705l&link_type=abstract
Geophysical Research Letters, Volume 35, Issue 21, CiteID L21705
Statistics
Computation
2
Computational Geophysics: Model Verification And Validation, Mathematical Geophysics: Spatial Analysis (0500), Mathematical Geophysics: Prediction (3245, 4263), Cryosphere: Leads (4540), General Or Miscellaneous: Techniques Applicable In Three Or More Fields
Scientific paper
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.
Coon Max
Levy Gad
Nguyen Giang
Sulsky Deborah
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