Evaluation of Wind Vectors Observed by QuikSCAT/SeaWinds Using Ocean Buoy Data

Naoto Ebuchi Center for Atmospheric and Oceanic Studies, Graduate School of Science, Tohoku University, Aoba, Sendai, Japan

Search for other papers by Naoto Ebuchi in
Current site
Google Scholar
PubMed
Close
,
Hans C. Graber Rosenstiel School of Marine and Atmospheric Studies, University of Miami, Miami, Florida

Search for other papers by Hans C. Graber in
Current site
Google Scholar
PubMed
Close
, and
Michael J. Caruso Woods Hole Oceanographic Institution, Woods Hole, Massachusetts

Search for other papers by Michael J. Caruso in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

Wind vectors observed by the QuikSCAT/SeaWinds satellite mission are validated by comparing with wind and wave data from ocean buoys. Effects of oceanographic and atmospheric environment on scatterometer measurements are also assessed using the buoy data. Three versions of QuikSCAT/SeaWinds wind data were collocated with buoy observations operated by the National Data Buoy Center (NDBC), Tropical Atmosphere Ocean (TAO), and Pilot Research Moored Array in the Tropical Atlantic (PIRATA) projects, and the Japan Meteorological Agency (JMA). Only buoys located offshore and in deep water were analyzed. The temporal and spatial differences between the QuikSCAT/SeaWinds and buoy observations were limited to less than 30 min and 25 km. The buoy wind speeds were converted to equivalent neutral winds at a height of 10 m above the sea surface. The comparisons show that the wind speeds and directions observed by QuikSCAT/SeaWinds agree well with the buoy data. The root-mean-squared differences of the wind speed and direction for the standard wind data products are 1.01 m s−1 and 23°, respectively, while no significant dependencies on the wind speed or cross-track cell location are discernible. In addition, the dependencies of wind speed residuals on oceanographic and atmospheric parameters observed by buoys are examined using the collocated data. A weak positive correlation of the wind speed residuals with the significant wave height is found, while dependencies on the sea surface temperature or atmospheric stability are not physically significant.

Current affiliation: Institute of Low Temperature Science, Hokkaido University, Kita-Ku, Sapporo, Japan

Corresponding author address: Dr. Naoto Ebuchi, Institute of Low Temperature Science, Hokkaido University, Kita 19, Nishi 8, Kita-ku, Sapporo 060-0819, Japan. Email: ebuchi@lowtem.hokudai.ac.jp

Abstract

Wind vectors observed by the QuikSCAT/SeaWinds satellite mission are validated by comparing with wind and wave data from ocean buoys. Effects of oceanographic and atmospheric environment on scatterometer measurements are also assessed using the buoy data. Three versions of QuikSCAT/SeaWinds wind data were collocated with buoy observations operated by the National Data Buoy Center (NDBC), Tropical Atmosphere Ocean (TAO), and Pilot Research Moored Array in the Tropical Atlantic (PIRATA) projects, and the Japan Meteorological Agency (JMA). Only buoys located offshore and in deep water were analyzed. The temporal and spatial differences between the QuikSCAT/SeaWinds and buoy observations were limited to less than 30 min and 25 km. The buoy wind speeds were converted to equivalent neutral winds at a height of 10 m above the sea surface. The comparisons show that the wind speeds and directions observed by QuikSCAT/SeaWinds agree well with the buoy data. The root-mean-squared differences of the wind speed and direction for the standard wind data products are 1.01 m s−1 and 23°, respectively, while no significant dependencies on the wind speed or cross-track cell location are discernible. In addition, the dependencies of wind speed residuals on oceanographic and atmospheric parameters observed by buoys are examined using the collocated data. A weak positive correlation of the wind speed residuals with the significant wave height is found, while dependencies on the sea surface temperature or atmospheric stability are not physically significant.

Current affiliation: Institute of Low Temperature Science, Hokkaido University, Kita-Ku, Sapporo, Japan

Corresponding author address: Dr. Naoto Ebuchi, Institute of Low Temperature Science, Hokkaido University, Kita 19, Nishi 8, Kita-ku, Sapporo 060-0819, Japan. Email: ebuchi@lowtem.hokudai.ac.jp

Save
  • Bentamy, A., Quilfen Y. , Queffeulou P. , and Cavanie A. , 1994: Calibration of the ERS-1 scatterometer C-band model. IFREMER/Brest, Tech. Rep. DRO/OS-94-01, Brest, France, 72 pp.

    • Search Google Scholar
    • Export Citation
  • Bourassa, M. A., Freilich M. H. , Legler D. M. , Liu W. T. , and O'Brien J. J. , 1997: Wind observations from new satellite and research vessels agree. Eos, Trans. Amer. Geophys. Union, 78 , 597.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Colton, M. C., Plant W. J. , Keller W. C. , and Geernaert G. L. , 1995: Tower-based measurements of normalized radar cross-section from Lake Ontario: Evidence of wind stress dependence. J. Geophys. Res., 100 , 87918813.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Dickinson, S., Kelly K. A. , Caruso M. J. , and McPhaden M. J. , 2001: Comparisons between the TAO buoy and NASA scatterometer wind vectors. J. Atmos. Oceanic Tech., 18 , 799806.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Donelan, M. A., and Pierson W. J. , 1987: Radar scattering and equilibrium ranges in wind-generated waves with application to scatterometry. J. Geophys. Res., 92 , 49715029.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Ebuchi, N., 1997: Sea surface temperature dependence of C-band radar cross sections observed by ERS-1/AMI scatterometer. J. Adv. Mar. Sci. Tech. Soc., 3 , 157168.

    • Search Google Scholar
    • Export Citation
  • Ebuchi, N., Graber H. C. , and Vakkayil R. , 1996: Evaluation of ERS-1 scatterometer winds with wind and wave ocean buoy observations. Tohoku University Tech. Rep. CAOS 96-1, 69 pp.

    • Search Google Scholar
    • Export Citation
  • Ebuchi, N., Graber H. C. , Bentamy A. , and Mukaida A. , 1998: Evaluation of NSCAT winds with ocean buoy observations. Proc. Fourth Pacific Ocean Remote Sensing Conf., Qingdao, China, Ocean University of Qingdao, 396–400.

    • Search Google Scholar
    • Export Citation
  • Ebuchi, N., Graber H. C. , Bentamy A. , and Mukaida A. , 1999: Evaluation of NSCAT winds with ocean buoy observations. EORC Bull. Tech. Rep., 2 , 3949.

    • Search Google Scholar
    • Export Citation
  • Freilich, M. H., 1997: Validation of vector magnitude datasets: Effects of random component errors. J. Atmos. Oceanic Technol., 14 , 695703.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Freilich, M. H., and Dunbar R. S. , 1999: The accuracy of the NSCAT-1 vector winds: Comparison with NDBC buoys. J. Geophys. Res., 104 , 1123111246.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Freitag, H. P., O'Haleck M. , Thomas G. C. , and McPhaden M. J. , 2001: Calibration procedures and instrumental accuracies for ATLAS wind measurements. NOAA Tech. Memo. OAR PMEL-199, 20 pp. [Available online at http://www.pmel.noaa.gov/tao/proj_over/sensors.shtml.].

    • Search Google Scholar
    • Export Citation
  • Graber, H. C., Ebuchi N. , and Vakkayil R. , 1996: Evaluation of ERS-1 scatterometer winds with wind and wave ocean buoy observations. University of Miami, Tech. Rep. RSMAS 96-003, 69 pp.

    • Search Google Scholar
    • Export Citation
  • Huddleston, J. N., and Stiles B. W. , 2000: Multidimensional Histogram (MUDH) rain flag product description (Version 2.1). Jet Propulsion Laboratory, Pasadena, CA, 8 pp. [Available online at http://podaac.jpl.nasa.gov/quikscat/qscat_doc.html.].

    • Search Google Scholar
    • Export Citation
  • Jones, W. L., Schroeder L. C. , Boggs D. H. , Bracalante E. M. , Brown R. A. , Dome G. J. , Pierson W. J. , and Wentz F. J. , 1982: The relationship between wind vector and normalized radar cross section used to derive Seasat-A satellite scatterometer winds. J. Geophys. Res., 87 , 33183336.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • JPL, 2001: QuikSCAT science data product user's manual (version 2.0). Jet Propulsion Laboratory Publ. D-18053, Pasadena, CA, 84 pp. [Available online at http://podaac.jpl.nasa.gov/quikscat.].

    • Search Google Scholar
    • Export Citation
  • Keller, W. C., Pierson W. J. , and Weissman D. E. , 1985: The dependence of X band microwave sea return on atmospheric stability and sea state. J. Geophys. Res., 90 , 10191029.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kelly, K. A., Dickinson S. , McPhaden M. J. , and Johnson G. C. , 2001: Ocean currents evident in satellite wind data. Geophys. Res. Lett., 28 , 24692472.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Large, W., Morzel J. , and Crawford G. B. , 1995: Accounting for surface wave distortion of the marine wind profile in low-level ocean storms wind measurements. J. Phys. Oceanogr., 25 , 29592971.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Li, F., Large W. , Shaw W. , Walsh E. J. , and Davidson K. , 1989: Ocean radar backscattering relationship with near-surface winds: A case study during FASINEX. J. Phys. Oceanogr., 19 , 342253.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Liu, W. T., and Tang W. Q. , 1996: Equivalent neutral wind. Jet Propulsion Laboratory Publ. 96-19, Pasadena, CA, 8 pp. [Available online at http://airsea-www.jpl.nasa.gov/data.html.].

    • Search Google Scholar
    • Export Citation
  • Long, D. E., and Mendel J. M. , 1991: Identifiability in wind estimation from wind scatterometer measurements. IEEE Trans. Geosci. Remote Sens., GE-29 , 268276.

    • Search Google Scholar
    • Export Citation
  • Masuko, H., and Coauthors. 2000: Evaluation of vector winds observed by NSCAT in the seas around Japan. J. Oceanogr., 56 , 495505.

  • McPhaden, M. J., 1995: The Tropical Atmosphere Ocean array is completed. Bull. Amer. Meteor. Soc., 76 , 739741.

  • Meindl, E. A., and Hamilton G. D. , 1992: Programs of the National Data Buoy Center. Bull. Amer. Meteor. Soc., 73 , 985993.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Quilfen, Y., and Bentamy A. , 1994: Calibration/validation of ERS-1 scatterometer precision products. Proc. IGARSS'94, Pasadena, USA, IEEE Geoscience and Remote Sensing Society, 945–947.

    • Search Google Scholar
    • Export Citation
  • Shaffer, S. J., Dunbar R. S. , Hisao S. V. , and Long D. G. , 1991: A median-filter-based ambiguity removal algorithm for NSCAT. IEEE Trans. Geosci. Remote Sens., GE-29 , 167174.

    • Search Google Scholar
    • Export Citation
  • Toba, Y., Iida N. , Kawamura H. , Ebuchi N. , and Jones I. S. F. , 1990: Wave dependence of sea-surface wind stress. J. Phys. Oceanogr., 20 , 705721.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • WMO/IOC Data Buoy Cooperation Panel, 1996: Guide to moored buoys and other ocean data acquisition systems. Data Buoy Cooperation Panel (DBCP) Tech. Doc. 8, WMO and IOC, 87 pp.

    • Search Google Scholar
    • Export Citation
  • Yueh, S. H., Stiles B. , Tsai W-Y. , Hu H. , and Liu W. T. , 2001: QuikSCAT geophysical model function for hurricane wind and rain. Proc. IGARSS 2001, Sydney, Australia, IEEE Geoscience and Remote Sensing Society, 4 pp.

    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 1867 621 38
PDF Downloads 894 124 4