Wavelet based methods for improved wind profiler signal processing

Annales Geophysicae

Volumn 19, Issue 8, 2001, Pages 825-836

  Lehmann, V ^a   Teschke, G ^b  

^a DEUTSCHER WETTERDIENST   (Germany)

^b UNIVERSITY OF BREMEN   (Germany)

Author keywords

Meteorology and atmospheric dynamics (instruments and techniques); Radio science (remote sensing; signal processing)

Indexed keywords

EID: 0035647494     PISSN: 09927689     EISSN: None     Source Type: Journal    
DOI: 10.5194/angeo-19-825-2001     Document Type: Article

References (61)

1. Barth, M., Chadwick, R., and van de Kamp, D., Data processing algorithms used by NOAA's wind profiler demonstration network, Ann. Geophysicae, 12, 518-528, 1994.
2. Boisse, J.-C., Klaus, V., and Aubagnac, J.-P., A wavelet transform technique for removing airplane echos from ST radar signals, J. Atmos. Oceanic Technol., 16, 334-346, 1999.
3. Burgess, D. and Ray, P. S., Mesoscale Meteorology and Forecasting, chap. Principles of radar, pp. 85-117, AMS, 1986.
4. Burrus, C. S., Gopinath, R. A., and Guo, H., Introduction to Wavelets and Wavelet Transforms, Prentice Hall, 1998.
5. Capsoni, C. and D'Amico, M., A physically based radar simulator, J. Atmos. Oceanic Technol., 15, 593-598, 1998.
6. Carter, D., Gage, K. S., Ecklund, W. L., Angevine, W. M., Johnston, P. E., Riddle, A. C., Wilson, J., and Williams, C. R., Developments in UHF lower tropospheric wind profiling at NOAA's Aeronomy Laboratory, Radio Sci., 30, 977-1001, 1995.
7. Clothiaux, E., Penc, R., Thomson, D., Ackerman, T. and Williams, S., A first-guess feature-based algorithm for estimating wind speed in clear-air doppler radar spectra, J. Atmos. Oceanic Technol., 11, 888-908, 1994.
8. Cohn, S. A., Goodrich, R. K., Morse, C. S., Karplus, E., Mueller, S. W., Cornman, L. B., and Weekly, R. A., Radial velocity and wind measurement with NIMA: Comparisons with human estimation and aircraft measurements, submitted to J. Appl. Meteor., 1-25, 2000.
9. Cornman, L. B., Goodrich, R. K., Morse, C. S., and Ecklund, W. L., A fuzzy logic method for improved moment estimation from Doppler spectra, J. Atmos. Oceanic Technol., 15, 1287-1305, 1998.
10. Dahlhaus, R., Neumann, M. H., and v. Sachs, R., Nonlinear wavelet estimation of time-varying autoregressive processes, preprint, 1998.
11. Dahlke, S. and Maaß, P., The affine uncertainty principle in one and two dimensions, Comp. Math. Appl., 30, 293-305, 1995.
12. Dahlke, S., Maaß, P., and Teschke, G., Interpolating scaling functions with duals, Tech. Rep. 00-08, Zentrum für Technomathematik, Universität Bremen, 2000.
13. Daubechies, I., Ten Lectures on Wavelets, SIAM, Philadelphia, 1992.
14. Donoho, D. L. and Johnstone, I. M., Minimax estimation via wavelet shrinkage, Tech. Rep. 402, Department of Statistics, Stanford University, 1992.
15. Donoho, D. L., Johnstone, I. M., Kerkyacharian, G., and Picard, D., Density estimation by wavelet thresholding, Preprint, Dept. of Statistics, Stanford University, 1993.
16. Doviak, R. J. and Zrnić, D. S., Doppler radar and weather observation. Academic Press, 1993.
17. Farley, D., On-line data processing techniques for MST radars, Radio Sci., 20, 1177-1184, 1985.
18. Gage, K. S., Williams, C. R., Ecklund, W. L., and Johnston, P. E., Use of two profilers during MCTEX for unambiguous identification of Bragg scattering and Rayleigh scattering, J. Atmos. Sci., 56, 3679-3691, 1999.
19. Ghebrebrhan, O. and Crochet, M., On full decoding of truncated ranges for ST/MST radar applications, IEEE Trans. Geosci. Electron., 30, 38-45, 1992.
20. Goodrich, R. K., Morse, C. S., Cornman, L. B., and Cohn, S. A., A horizontal wind and wind confidence algorithm for Doppler wind profilers, submitted to J. Atmos. Oceanic Technol., pp. 1-22, 2000.
21. Gossard, E. E., A fresh look at the radar reflectivity of clouds, Radio Sci., 14, 1089-1097, 1979.
22. Gossard, E. E., Automated editing of spectra from wind profilers, Tech. Rep. ERL-ETL 286, NOAA Environmental Technology Laboratory, 1997.
23. Gossard, E. E. and Strauch, R. G., The refractive index spectra within clouds from forward-scatter radar observations, J. Appl. Meteor., 20, 170-183, 1981.
24. Gossard, E. E. and Strauch, R. G., Radar Observations of Clear Air and Clouds, Elsevier, 1983.
25. Griesser, T., Multipeakanalyse von Dopplerspektren aus Windprofiler-Radar-Messungen, Ph.D. thesis, Eidgenössische Technische Hochschule Zürich, 1998.
26. Härdle, W., Kerkyacharian, G., Picard, D., and Tsybakov. A., Wavelets, Approximation, and Statistical Applications, Springer, New York, 1998.
27. Hardy, K. R. and Gage, K. S., The history of radar studies of the clear atmosphere, in Radar in Meteorology, chap. 17, 130-142, American Meteorological Society, Boston, 1990.
28. Harris, F. J., On the use of windows for harmonic analysis with the discrete Fourier transform, Proc. IEEE, 66, 51-83, 1978.
29. Hildebrand, P. H. and Sekhon, R., Objective determination of the noise level in Doppler spectra, J. Appl. Meteor., 13, 808-811, 1974.
30. Holschneider, M., Wavelets: An Analysis Tool, Clarendon Press, Oxford, 1995.
31. Johnstone, I. M. and Silverman, B. W., Wavelet threshold estimators for data with correlated noise, Tech. Rep. Dept. of Statistics, Stanford University, 1995.
32. Jordan, J. R., Lataitis, R. J., and Carter, D. A., Removing ground and intermittent clutter contamination from wind profiler signals using wavelet transforms, J. Atmos. Oceanic Technol., 14, 1280-1297, 1997.
33. Kaiser, G., A Friendly Guide to Wavelets, Birkhauser, Basel, 1994.
34. Keeler, R. J. and Passarelli, R. E., Signal processing for atmospheric radars, in Radar in Meteorology, edited by D. Atlas, chap. 20a, 199-229, American Meteorological Society, Boston, 1990.
35. Louis, A. K., Maaß, P., and Rieder, A., Wavelets, Teubner, Stuttgart, 1998.
36. 2(R)., Trans. Amer. Math. Soc., 69-87, 1989.
37. Mallat, S., A Wavelet Tour of Signal Processing, Academic Press, 1999.
38. May, P. T. and Strauch, R. G., An examination of wind profiler signal processing algorithms, J. Atmos. Oceanic Technol., 6, 731-735, 1989.
39. May, P. T. and Strauch, R. G., Reducing the effect of ground clutter on wind profiler velocity measurements, J. Atmos. Oceanic Technol., 15, 579-586, 1998.
40. Meyer, Y., Wavelets: Algorithms and Applications, SIAM, Philadelphia, 1993.
41. Monna, W. A. and Chadwick, R. B., Remote-sensing of upper-air winds for weather forecasting: Wind-profiler radar, Bull. WMO, 47, 124-132, 1998.
42. Morse, C. S., Goodrich, R. K., and Cornman, L. B., The NIMA method for improved moment estimation from Doppler spectra, submitted to J. Atmos. Oceanic Technol., 1-24, 2000.
43. Muschinski, A., Sullivan, P. P., Wuertz, D. B., Hill, R. J., Cohn, S. A., Lenschow, D. H., and Doviak, R. J., First synthesis of wind-profiler signals on the basis of large-eddy simulation data, Radio Sci., 34, 1437-1459, 1999.
44. Papoulis, A., Probability, Random Variables and Stochastic Processes, McGraw-Hill, 3 edn., 1991.
45. Petitdidier, M., Sy, A., Garrouste, A., and Delcourt, J., Statistical characteristics of the noise power spectral density in UHF and VHF wind profilers, Radio Sci., 32, 1229-1247, 1997.
46. Ralph, F. M., Neiman, P. J., van de Kamp, D. W., and Law, D. C., Using spectral moment data from NOAA's 404-MHz radar wind profilers to observe precipitation, Bull. Amer. Meteorol. Soc., 76, 1717-1739, 1995.
47. Ralph, F. M., Neiman, P. L., and Ruffieux, D., Precipitation identification from radar wind profiler spectral moment data: Vertical velocity histograms, velocity variance, and signal power - vertical velocity correlation, S. Atmos. Oceanic Technol., 13, 545-559, 1996.
48. Röttger, J. and Larsen, M., UHF/VHF radar techniques for atmospheric research and wind profiler applications, in Radar in Meteorology, chap. 21a, 235-281, American Meteorological Society, Boston, 1990.
49. Schmidt, G., Rüster, R., and Czechowsky, P., Complementary code and digital filtering for detection of weak VHF radar signals from the Mesosphere, IEEE Trans. Geosci. Electron., GE-17, 154-161, 1979.
50. Schumann, R. S., Taylor, G. E., Merceret, F. J., and Wilfong, T. L., Performance characteristics of the Kennedy Space Center 50 MHz Doppler Radar wind profiler using the median filter /first-guess data reduction algorithm, J. Atmos. Oceanic Technol., 16, 532-549, 1999.
51. Spano, E. and Ghebrebrhan, O., Pulse coding techniques for ST/MST radar systems: A general approach based on a matrix formulation, IEEE Trans. Geosci. Remote Sensing, 34, 304-316. 1996.
52. Stark, H.-G., Continuous wavelet transform and continuous multiscale analysis, Math. Anal. and Appl., 169, 179-196, 1992.
53. Steinhagen, H., Dibbern, J., Engelbart, D., Görsdorf, U., Lehmann, V., Neisser, J., and Neuschaefer, J. W., Performance of the first European 482 MHz wind profiler radar with RASS under operational conditions, Meteorol, Z., N.F.7, 248-261, 1998.
54. Sulzer, M. and Woodman, R., Quasi-complementary codes: A new technique for MST radar sounding, Radio Sci., 19, 337-344, 1984.
55. Teschke, G., Komplexwertige Wavelets und Phaseninformation, Anwendungen in der Signalverarbeitung, Diplomarbeit, Institut für Mathematik, Universität Potsdam, 1998.
56. Tsuda, T., Middle Atmosphere Program - Handbook for MAP, vol. 30, chap. Data Acquisition and Processing, pp. 151-183. ICSU Scientific Committee on Solar-Terrestrial Physics (SCOSTEP), ISAR 24-28 November 1988, Kyoto, 1989.
57. Sachs, R. and MacGibbon, B., Nonparametric curve estimation by wavelet thresholding with locally stationary errors, preprint, 1998.
58. Vetterli, M. and Kovačević, J., Wavelets and Subband Coding, Prentice Hall PTR, New Jersey, 1995.
59. Wilfong, T. L., Merritt, D. A., Lataitis, R. J., Weber, B. L., Wuertz, D. B., and Strauch, R. G., Optimal generation of radar wind profiler spectra, J. Atmos. Oceanic Technol., 16, 723-733, 1999a.
60. Wilfong, T. L., Merritt, D. A., Weber, B. L., and Wuertz, D. B., Multiple signal detection and moment estimation in radar wind profiler spectral data, submitted to J. Atmos. Oceanic Technol., 1999b.
61. Zrnić, D. S., Simulation of weatherlike Doppler spectra and signals, J. Appl. Meteor., 14, 619-620, 1975.