The Australian Bureau of Meteorology 1280-MHz Wind Profiler

P. T. May Bureau of Meteorology Research Centre, Melbourne, Victoria, Australia

Search for other papers by P. T. May in
Current site
Google Scholar
PubMed
Close
,
F. Cummings Observations and Engineering Branch, Bureau of Meteorology, Melbourne, Victoria, Australia

Search for other papers by F. Cummings in
Current site
Google Scholar
PubMed
Close
,
J. Koutsovasilis Bureau of Meteorology Research Centre, Melbourne, Victoria, Australia

Search for other papers by J. Koutsovasilis in
Current site
Google Scholar
PubMed
Close
,
R. Jones Observations and Engineering Branch, Bureau of Meteorology, Melbourne, Victoria, Australia

Search for other papers by R. Jones in
Current site
Google Scholar
PubMed
Close
, and
D. Shaw Observations and Engineering Branch, Bureau of Meteorology, Melbourne, Victoria, Australia

Search for other papers by D. Shaw in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

The Australian Bureau of Meteorology has constructed a new 1280-MHz radar wind profiler. Key features include a state-of-the-art digital transceiver system and modern peak detection algorithms for obtaining high quality wind estimates, even in the presence of clutter. The design of the radar is described in detail, and the performance of the radar in its current configuration and some examples of the data are given. The paper concludes with the planned upgrades to the system.

Corresponding author address: Dr. P. May, Bureau of Meteorology Research Centre, GPO Box 1289K, Melbourne, Victoria 3001, Australia. Email: p.may@bom.gov.au

Abstract

The Australian Bureau of Meteorology has constructed a new 1280-MHz radar wind profiler. Key features include a state-of-the-art digital transceiver system and modern peak detection algorithms for obtaining high quality wind estimates, even in the presence of clutter. The design of the radar is described in detail, and the performance of the radar in its current configuration and some examples of the data are given. The paper concludes with the planned upgrades to the system.

Corresponding author address: Dr. P. May, Bureau of Meteorology Research Centre, GPO Box 1289K, Melbourne, Victoria 3001, Australia. Email: p.may@bom.gov.au

Save
  • Barth, M. F., Chadwick R. B. , and van de Kamp D. W. , 1994: Data processing algorithms used by NOAA's wind profiler demonstration network. Ann. Geophys., 12 , 518528.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Clothiaux, E. E., Penc R. S. , Thomson D. W. , Ackerman T. P. , and Williams S. R. , 1994: A first-guess feature-based algorithm for estimating wind speed in clear-air Doppler radar spectra. J. Atmos. Oceanic Technol., 11 , 888908.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Cornman, L. B., Goodrich R. K. , Morse C. S. , and Ecklund W. L. , 1998: A fuzzy logic method for improved moment estimation from Doppler spectra. J. Atmos. Oceanic Technol., 15 , 12871305.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Ecklund, W. L., Carter D. A. , and Balsley B. B. , 1988: A UHF wind profiler for the boundary layer: Brief description and initial results. J. Atmos. Oceanic Technol., 5 , 432441.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Englebart, D., Steinhagen H. , Gorsdorf U. , Lippmann J. , and Neisser J. , 1996: A 1290 MHz profiler with RASS for monitoring wind and temperature in the boundary layer. Beitr. Phys. Atmos., 69 , 6380.

    • Search Google Scholar
    • Export Citation
  • Frerking, M. E., 1993: Digital Signal Processing in Communication Systems. International Thomson, 624 pp.

  • Hocking, W. K., 1997: System design, signal processing procedures and preliminary results for the Canadian (London, Ontario) VHF Atmospheric Radar. Radio Sci., 32 , 687706.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Jordan, J. R., Lataitis R. J. , and Carter D. A. , 1997: Removing ground and intermittent clutter contamination from wind profiler signals using wavelet transforms. J. Atmos. Oceanic Technol., 14 , 12801297.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • May, P. T., and Strauch R. G. , 1989: An examination of wind profiler signal processing algorithms. J. Atmos. Oceanic Technol., 6 , 731735.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • May, P. T., . 1998: Reducing the effect of ground clutter on wind profiler velocity measurements. J. Atmos. Oceanic Technol., 15 , 579586.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • May, P. T., and Moran K. P. , 1988: The altitude coverage of temperature measurements using RASS with wind profiler radars. Geophys. Res. Lett., 15 , 13811384.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Merritt, D. A., 1995: A statistical averaging method for wind profiler Doppler spectra. J. Atmos. Oceanic Technol., 12 , 985995.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Schmidt, G., Ruster R. , and Czechowsky P. , 1979: Complementary code and digital filtering for detection of weak VHF radar signals from the mesosphere. IEEE Trans. Geosci. Remote Sens., GE-17 , 262280.

    • Search Google Scholar
    • Export Citation
  • Spano, E., and Ghebrebrhan O. , 1996: Pulse coding techniques for ST/MST radar systems: A general approach based on matrix formulation. IEEE Trans. Geosci. Remote Sens., 34 , 304316.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Strauch, R. G., Merritt D. A. , Moran K. P. , Earnshaw K. B. , and van de Kamp D. , 1984: The Colorado wind profiling network. J. Atmos. Oceanic Technol., 1 , 3749.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Weber, B. L., Wuertz D. B. , Welsh D. C. , and McPeek R. , 1993: Quality controls for profiler measurements of winds and RASS temperatures. J. Atmos. Oceanic Technol., 10 , 452464.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wilczak, J. M., and Coauthors. 1995: Contamination of wind profiler data by migrating birds: Characteristics of corrupted data and potential solutions. J. Atmos. Oceanic Technol., 12 , 449467.

    • Crossref
    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 477 234 66
PDF Downloads 157 35 1