Sea surface wind speed estimation from space-based lidar measurements

  • Y. Hu
  • , K. Stamnes
  • , M. Vaughan
  • , J. Pelon
  • , C. Weimer
  • , D. Wu
  • , M. Cisewski
  • , W. Sun
  • , P. Yang
  • , B. Lin
  • , A. Omar
  • , D. Flittner
  • , C. Hostetler
  • , C. Trepte
  • , D. Winker
  • , G. Gibson
  • , M. Santa-Maria

Research output: Contribution to journalArticlepeer-review

127 Scopus citations

Abstract

Global satellite observations of lidar backscatter measurements acquired by the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) mission and collocated sea surface wind speed data from the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E), are used to investigate the relation between wind driven wave slope variance and sea surface wind speed. The new slope variance - wind speed relation established from this study is similar to the linear relation from Cox-Munk (1954) and the log-linear relation from Wu (1990) for wind speed larger than 7 m/s and 13.3 m/s, respectively. For wind speed less than 7 m/s, the slope variance is proportional to the square root of the wind speed, assuming a two dimensional isotropic Gaussian wave slope distribution. This slope variance - wind speed relation becomes linear if a one dimensional Gaussian wave slope distribution and linear slope variance - wind speed relation are assumed. Contributions from whitecaps and subsurface backscattering are effectively removed by using 532 nm lidar depolarization measurements. This new slope variance - wind speed relation is used to derive sea surface wind speed from CALIPSO single shot lidar measurements (70 m spot size), after correcting for atmospheric attenuation. The CALIPSO wind speed result agrees with the collocated AMSR-E wind speed, with 1.2 m/s rms error. Ocean surface with lowest atmospheric loading and moderate wind speed (7-9 m/s) is used as target for lidar calibration correction.

Original languageEnglish
Pages (from-to)3593-3601
Number of pages9
JournalAtmospheric Chemistry and Physics
Volume8
Issue number13
DOIs
StatePublished - 30 Jun 2008

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