• Amayenc, P., Testud J. , and Marzoug M. , 1993: Proposal for a spaceborne dual-beam rain radar with Doppler capability. J. Atmos. Oceanic Technol., 10 , 262276.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Baedi, R., Boers R. , and Russchenberg H. , 2002: Detection of boundary layer water clouds by spaceborne cloud radar. J. Atmos. Oceanic Technol., 19 , 19151927.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Box, G., and Jenkins G. , 1970: Time Series Analysis: Forecasting and Control. Holden-Day Series in Time Series Analysis, 1st ed., Holden-Day, 553 pp.

    • Search Google Scholar
    • Export Citation
  • Bringi, V., and Chandrasekar V. , 2001: Polarimetric Doppler Weather Radar: Principles and Applications. Cambridge University Press, 636 pp.

    • Search Google Scholar
    • Export Citation
  • Brown, P., Illingworth A. , Heymsfield A. , McFarquhar G. , Browning K. , and Gosset M. , 1995: The role of millimeter-wave radar in the global monitoring of ice cloud. J. Appl. Meteor., 34 , 23462366.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Doviak, R., and Zrnić D. , 1993: Doppler Radar and Weather Observations. 2nd ed. Academic Press, 562 pp.

  • Fishman, G., 1996: Monte Carlo: Concepts, Algorithms, and Applications. Springer Series in Operations Research and Financial Engineering, 1st ed., Springer-Verlag, 698 pp.

    • Search Google Scholar
    • Export Citation
  • Golub, G., and Van Loan C. , 1996: Matrix Computations. 3rd ed. John Hopkins University Press, 694 pp.

  • Harris, R., and Battrick B. , 2001: Reports for assessment: The five candidate earth explorer core missions. European Space Agency Rep. ESA SP-1257 (1), 135 pp.

  • Horie, T., Iguchi T. , Hanado H. , Kuroiwa H. , Okamoto H. , and Kumagai H. , 2000: Development of a 95-GHz airborne cloud profiling radar (SPIDER)—Technical aspects. IEICE Trans. Commun., E83-B , 20102020.

    • Search Google Scholar
    • Export Citation
  • Iguchi, T., Oki R. , Smith E. , and Furuhama Y. , 2002: Global Precipitation Measurement program and the development of dual-frequency precipitation radar. J. Commun. Res. Lab., 49 , 3745.

    • Search Google Scholar
    • Export Citation
  • Kobayashi, S., Kumagai H. , and Kuroiwa H. , 2002: A proposal of pulse-pair Doppler operation on a spaceborne cloud-profiling radar in the W band. J. Atmos. Oceanic Technol., 19 , 12941306.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kummerow, C., Barns W. , Kozu T. , Shiue J. , and Simpson J. , 1998: The Tropical Rainfall Measuring Mission (TRMM) sensor package. J. Atmos. Oceanic Technol., 15 , 809816.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mace, G., Ackerman T. , Clothiaux E. , and Albrecht B. , 1997: A study of composite cirrus morphology using data from a 94-GHz radar and correlations with temperature and large-scale vertical motion. J. Geophys. Res., 102 , 1358113593.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Meneghini, R., and Kozu T. , 1990: Spaceborne Weather Radar. Artech House, 199 pp.

  • Mudukutore, A., Chandrasekar V. , and Keeler R. , 1998: Pulse compression for weather radars. IEEE Trans. Geosci. Remote Sens., 36 , 125142.

  • Ohsaki, Y., 2003: Simulation-based error analysis of Doppler velocity measured by a spaceborne cloud-profiling radar in the W-band. J. Meteor. Soc. Japan, 81 , 425435.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Peebles P. Jr., , 1980: Probability, Random Variables, and Random Signal Principles. McGraw-Hill Series in Electrical Engineering, McGraw-Hill, 267 pp.

    • Search Google Scholar
    • Export Citation
  • Press, W., Flannery B. , Teukolsky S. , and Vettering W. , 1989: Numerical Recipes: The Art of Scientific Computing. Cambridge University Press, 702 pp.

    • Search Google Scholar
    • Export Citation
  • Schutgens, N., 2008: Simulated Doppler radar observations of inhomogeneous clouds: Application to the EarthCARE space mission. J. Atmos. Oceanic Technol., 25 , 2642.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Schutgens, N., and Donovan D. , 2004: Retrieval of atmospheric reflectivity profiles in case of long radar pulses. Atmos. Res., 72 , 187196.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Sirmans, D., and Bumgarner B. , 1975: Numerical comparison of five mean frequency estimators. J. Appl. Meteor., 14 , 9911003.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Stephens, G., and Coauthors, 2002: The CloudSat mission and the A-train. Bull. Amer. Meteor. Soc., 83 , 17711790.

  • Tanelli, S., Im E. , Durden S. , Facheris L. , and Giuli D. , 2002: The effects of nonuniform beam filling on vertical rainfall velocity measurements with a spaceborne Doppler radar. J. Atmos. Oceanic Technol., 19 , 10191034.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Tanelli, S., Im E. , Durden S. , Facheris L. , Giuli D. , and Smith E. , 2004: Rainfall Doppler velocity measurements from spaceborne radar: Overcoming nonuniform beam-filling effects. J. Atmos. Oceanic Technol., 21 , 2744.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Uttal, T., and Kropfli R. , 2001: The effect of radar pulse length on cloud reflectivity statistics. J. Atmos. Oceanic Technol., 18 , 947961.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • van Kampen, N., 2001: Stochastic Processes in Physics and Chemistry. Elsevier, 465 pp.

  • Yu, T-Y., Zhang G. , Chalamalasetti A. , Doviak R. , and Zrnic D. , 2006: Resolution enhancement technique using range oversampling. J. Atmos. Oceanic Technol., 23 , 228240.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zrnić, D., 1975: Simulation of weatherlike Doppler spectra and signals. J. Appl. Meteor., 14 , 619620.

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Simulating Range Oversampled Doppler Radar Profiles of Inhomogeneous Targets

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  • 1 NICT, Tokyo, Japan
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Abstract

A new technique for generating range oversampled profiles of Doppler radar signals that have been backscattered by distributed targets is presented in this paper. The technique was developed for spaceborne cloud radars, but it can just as well be used for ground-based precipitation or wind-profiling radars. The technique is more versatile than the traditional inverse FFT technique and faster than the individual hydrometeor simulation (Monte Carlo) technique.

Doppler radar signals from backscattering hydrometeors are essentially correlated stochastic variables. The technique uses an accurate description of covariances between voltages measured for different pulses and at different positions (range gates) along a profile. A matrix formalism is developed to subsequently transform uncorrelated Gaussian noise into correlated receiver voltages with the appropriate covariances.

In particular, the new technique deals with target variability in a physically consistent manner, accounting for the effects of inhomogeneity both within the instantaneous field of view and between subsequent pulses. The new technique is showcased with examples of simulated 95-GHz Doppler radar observations by the Earth Clouds, Aerosols and Radiation Explorer (EarthCARE) space mission.

Corresponding author address: Nick Schutgens, CCSR, Tokyo University, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8568, Japan. Email: schutgen@ccsr.u-tokyo.ac.jp

Abstract

A new technique for generating range oversampled profiles of Doppler radar signals that have been backscattered by distributed targets is presented in this paper. The technique was developed for spaceborne cloud radars, but it can just as well be used for ground-based precipitation or wind-profiling radars. The technique is more versatile than the traditional inverse FFT technique and faster than the individual hydrometeor simulation (Monte Carlo) technique.

Doppler radar signals from backscattering hydrometeors are essentially correlated stochastic variables. The technique uses an accurate description of covariances between voltages measured for different pulses and at different positions (range gates) along a profile. A matrix formalism is developed to subsequently transform uncorrelated Gaussian noise into correlated receiver voltages with the appropriate covariances.

In particular, the new technique deals with target variability in a physically consistent manner, accounting for the effects of inhomogeneity both within the instantaneous field of view and between subsequent pulses. The new technique is showcased with examples of simulated 95-GHz Doppler radar observations by the Earth Clouds, Aerosols and Radiation Explorer (EarthCARE) space mission.

Corresponding author address: Nick Schutgens, CCSR, Tokyo University, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8568, Japan. Email: schutgen@ccsr.u-tokyo.ac.jp

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