Validation of QuikSCAT wind vectors by dropwindsonde data from Dropwindsonde Observations for Typhoon Surveillance Near the Taiwan Region (DOTSTAR)

Kun Hsuan Chou, Chun Chieh Wu, Po Hsiung Lin, Sharanya Majumdar

Research output: Contribution to journalArticle

11 Scopus citations

Abstract

The accuracy of 10 m wind vectors derived from the QuikSCAT satellite near tropical cyclones is validated against soundings from 457 GPS dropwindsondes deployed by Dropwindsonde Observations for Typhoon Surveillance Near the Taiwan Region (DOTSTAR) during 2003-2007. To maximize the database, the surface to 40 m wind speed in the dropwindsondes is averaged and interpolated to the 10 m wind speed by linear regression. After removing rain-flagged data, the root-mean-square differences between QuikSCAT and dropwindsonde data were 2.6 m s-1 or 18% (wind speed) and 17° (wind direction) on the basis of 896 matching samples. Further analyses also indicate that the QuikSCAT data slightly underestimates the wind speed of medium-wind regime (between 10 and 17.2 m s-1) and possesses some clockwise directional bias in the high-wind regime (above 17.2 m s-1). In summary, this study suggests that the QuikSCAT wind vectors below tropical storm wind strength (17.2 m s -1) are accurate enough for forecasters to determine the critical wind radius of 34 knot wind, while a new error bound of the QuikSCAT wind estimate in high-wind regimes near tropical cyclones is suggested to be set at about 4 m s-1.

Original languageEnglish (US)
Article numberD02109
JournalJournal of Geophysical Research Atmospheres
Volume115
Issue numberD2
DOIs
StatePublished - Jan 27 2010

ASJC Scopus subject areas

  • Geophysics
  • Forestry
  • Oceanography
  • Aquatic Science
  • Ecology
  • Water Science and Technology
  • Soil Science
  • Geochemistry and Petrology
  • Earth-Surface Processes
  • Atmospheric Science
  • Earth and Planetary Sciences (miscellaneous)
  • Space and Planetary Science
  • Palaeontology

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