12.07.2015 Views

Proceedings with Extended Abstracts (single PDF file) - Radio ...

Proceedings with Extended Abstracts (single PDF file) - Radio ...

Proceedings with Extended Abstracts (single PDF file) - Radio ...

SHOW MORE
SHOW LESS
  • No tags were found...

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Fig. 4: reflectivity of the hydrometeor echoFigure 1 presents the results of the MVS reconstruction of UHF spectra of two stronglyoverlapped echoes. The estimated echoes are in perfect adequacy <strong>with</strong> the FFT spectrum(which is not calculated <strong>with</strong> the SML algorithm). Figure 2 presents the velocity andreflectivity fields of both wind and hydrometeor echoes retrieved by the SML algorithm fromonly the UHF data on the 8th October. As the thunderstorm, characterized by a large verticalair-motion, is above the radar the method proposed by Williams et al. (2000) is not efficientbecause not adapted to this case. Then, the vertical velocity is used to separate in UHF data thewind echoes from the hydrometeor ones. In figure 3 and figure 4 are presented the velocity andreflectivity fields retrieved by a "standard" method applied on the UHF and VHF spectra. Thesquares drawn in these figures delineate the zone corresponding to figures 2 obtained <strong>with</strong> theSML algorithm. The agreement is qualitatively fairly good, i.e. the same features are observed.III- CONCLUSION AND PROSPECTIVEThe MVS algorithm appears to be a very attractive method for the estimation of the three spectralmoments of strongly overlapped Gaussian echoes. These first results have to be confirmed by thestudy of other cases and by the comparison of the method applied successively on VHF and UHFdata. This is an ongoing work.ACKNOWLEDGEMENTSThe National Astronomy and Ionospheric Center is operated by Cornell University undercontract <strong>with</strong> the National Science foundation.REFERENCESBoyer E., Petitdidier M., Corneil W., Adnet C. and Larzabal P., Application of model-basedspectral analysis to wind pro<strong>file</strong>r radar observations, Ann. Geophys., 19, 815-824, 2001.Boyer E., Larzabal P., Adnet C. and Petitdidier M.., Parametric Spectral Moments Estimation forWind Profiling Radar, IEEE Trans. On Geosci. and Remote Sens., 41, 1859-1868, 2003.Williams C. R., Ecklund W. L., Johnston P. E. and Gage K. S., Cluster Analysis Techniques toSeparate Air Motion and Hydrometeors in Vertical Incident Pro<strong>file</strong>r Observations, J. Atmos.Oceanic Technol., 17, 949-962, 2000.429

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!