Applying Fuzzy Clustering to a Multimodel Ensemble for U.S. East Coast Winter Storms: Scenario Ident...
Applying Fuzzy Clustering to a Multimodel Ensemble for U.S. East Coast Winter Storms: Scenario Identification and Forecast Verification
About this item
Full title
Author / Creator
Publisher
Boston: American Meteorological Society
Journal title
Language
English
Formats
Publication information
Publisher
Boston: American Meteorological Society
Subjects
More information
Scope and Contents
Contents
This article introduces a method for objectively separating and validating forecast scenarios within a large multimodel ensemble for the medium-range (3–7 day) forecasts of extratropical cyclones impacting the U.S. East Coast. The method applies fuzzy clustering to the principal components (PCs) of empirical orthogonal function (EOF) analysis on me...
Alternative Titles
Full title
Applying Fuzzy Clustering to a Multimodel Ensemble for U.S. East Coast Winter Storms: Scenario Identification and Forecast Verification
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_1924629757
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1924629757
Other Identifiers
ISSN
0882-8156
E-ISSN
1520-0434
DOI
10.1175/WAF-D-16-0112.1
