Compartmentalization of coatal sea surface wind by statistical approach using high-resolution SAR-derived winds

Teruhisa Shimada, Hiroshi Kawamura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a compartmentalization of ocean surface wind in coastal seas by analyzing statistical features of high-resolution wind measurements derived from Synthetic Aperture Radar (SAR) onboard European Remote sensing Satellite (ERS) -1/2. Probability distributions of wind speeds over land and sea, to which two-parameter Weibull distribution gives a good fit, are classified in a feature space of two Weibull parameters. As a result, we identify three distinguished clusters, which feature variability of wind over land, open ocean, and coastal sea. The typical wind speed distribution assigned to coastal sea has both characteristics of those assigned to land and open ocean, i.e., peak frequency in the lower wind and higher frequencies in higher wind speeds. Moreover, it can be reproduced by mixing the typical wind-speed distributions of land and open ocean at a given rate.

Original languageEnglish
Title of host publication25th Anniversary IGARSS 2005
Subtitle of host publicationIEEE International Geoscience and Remote Sensing Symposium
Pages2535-2538
Number of pages4
DOIs
Publication statusPublished - 2005 Dec 1
Event2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005 - Seoul, Korea, Republic of
Duration: 2005 Jul 252005 Jul 29

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume4

Other

Other2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005
CountryKorea, Republic of
CitySeoul
Period05/7/2505/7/29

Keywords

  • Coastal winds
  • SAR
  • Weibull distribution

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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