High-resolution ASCAT wind vector data set gridded by applying an optimum interpolation method to the global ocean

Shin'Ichiro Kako, Atsuhiko Isobe, Masahisa Kubota

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

A new global 0.25° longitude by 0.25° latitude gridded daily wind vector data set was produced by applying an optimum interpolation method to Advanced Scatterometer (ASCAT) data as a quick recovery of the QuikSCAT/SeaWinds (QSCAT) mission that ended in November 2009. ASCAT measures the wind speed and direction over the global ocean twice a day as QSCAT did. However, the area covered by ASCAT accounts only for 60% of that covered by QSCAT during the same period because its spatial resolution measured along two parallel 550-km swaths separated by 700 km is coarser than that of QSCAT with a single 1800-km width swath along its orbit. The accuracy of gridded wind data sets constructed using ASCAT or QSCAT is therefore validated by comparing with wind data sets obtained from meteorological buoy observations. The comparisons show that both satellite wind observations agree well with the buoy observations, and the accuracy of these satellite-derived wind data sets mostly meets mission requirements (biases and root-mean square differences are less than 0.5 and 2.0 m/s, respectively) except for coastal and heavy-rain regions. In addition, intercomparison of ASCAT and QSCAT products demonstrates that the spatiotemporal wind variations derived from ASCAT are in reasonable agreement with those derived from QSCAT. Thereby, the data lost in the absence of QSCAT can be recovered using the ASCAT wind data set.

Original languageEnglish
Article numberD23107
JournalJournal of Geophysical Research Atmospheres
Volume116
Issue number23
DOIs
Publication statusPublished - Jan 1 2011
Externally publishedYes

Fingerprint

vector data
ASCAT
QuikSCAT
scatterometers
global ocean
interpolation
Interpolation
oceans
high resolution
methodology
swath width
wind variations
Satellites
orbits
wind direction
longitude
rain
SeaWinds
method
meteorological data

All Science Journal Classification (ASJC) codes

  • Geophysics
  • Oceanography
  • Forestry
  • Aquatic Science
  • Ecology
  • Condensed Matter Physics
  • Water Science and Technology
  • Soil Science
  • Geochemistry and Petrology
  • Earth-Surface Processes
  • Physical and Theoretical Chemistry
  • Polymers and Plastics
  • Atmospheric Science
  • Earth and Planetary Sciences (miscellaneous)
  • Space and Planetary Science
  • Materials Chemistry
  • Palaeontology

Cite this

High-resolution ASCAT wind vector data set gridded by applying an optimum interpolation method to the global ocean. / Kako, Shin'Ichiro; Isobe, Atsuhiko; Kubota, Masahisa.

In: Journal of Geophysical Research Atmospheres, Vol. 116, No. 23, D23107, 01.01.2011.

Research output: Contribution to journalArticle

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