Computing and Learning Year-Round Daily Patterns of Hourly Wind Speed and Direction and Their Global Associations with Meteorological Factors

Computing and Learning Year-Round Daily Patterns of Hourly Wind Speed and Direction and Their Global Associations with Meteorological Factors

Daily wind patterns and their relational associations with other metocean (oceanographic and meteorological) variables were algorithmically computed and extracted from a year-long wind and weather dataset, which was collected hourly from an ocean buoy located in the Penghu archipelago of Taiwan. The...

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Bibliographic Details
Main Authors: Hsing-Ti Wu, Hsieh Fushing, Laurence Z.H. Chuang
Format: Article
Language:English
Published: MDPI AG 2015-08-01
Series:Entropy
Subjects:
algorithmic clustering computations
data cloud geometry
distance adaptation
metocean (oceanographic and meteorological) variables
hierarchical wind patterns
multiscale patterns
pattern-based causal relations
Online Access:http://www.mdpi.com/1099-4300/17/8/5784

Internet

http://www.mdpi.com/1099-4300/17/8/5784

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