1995
DOI: 10.1175/1520-0426(1995)012<0643:aiftft>2.0.co;2
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An Iterative Filtering Technique for the Analysis of Copolar Differential Phase and Dual-Frequency Radar Measurements

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Cited by 190 publications
(178 citation statements)
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“…(4a), (4b), and (4c) respectively for the event considered here), the expressions in (A5), (A7) and (A9) can be used to derive the first estimate of the F dp range profile. Note, these equations rely on accurate K dp estimates from the measured F dp range profile; a suitable smoothing and/or filtering procedure is the iterative FIR method described in Hubbert and Bringi (1995). Figure A1(a) shows an example of the comparison between the measured, and the estimated, F dp range profiles for two cases, (i) for C h ¼ 0 dB (i.e., no calibration error in the measured Z h ) and (ii) for C h ¼ 2 dB (i.e., 2 dB calibration error in the measured Z h ).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…(4a), (4b), and (4c) respectively for the event considered here), the expressions in (A5), (A7) and (A9) can be used to derive the first estimate of the F dp range profile. Note, these equations rely on accurate K dp estimates from the measured F dp range profile; a suitable smoothing and/or filtering procedure is the iterative FIR method described in Hubbert and Bringi (1995). Figure A1(a) shows an example of the comparison between the measured, and the estimated, F dp range profiles for two cases, (i) for C h ¼ 0 dB (i.e., no calibration error in the measured Z h ) and (ii) for C h ¼ 2 dB (i.e., 2 dB calibration error in the measured Z h ).…”
Section: Discussionmentioning
confidence: 99%
“…The method utilizes the range profile of K dp , derived using the iterative filtering method of Hubbert and Bringi (1995). The correction is done gateby-gate, for both Z h and Z dr as described in the Appendix.…”
Section: Overview Of Radar Measurementsmentioning
confidence: 99%
“…Several methods were available for use, such as a moving average, median filters, and linear programming approaches. In this study, we used the finite impulse response (FIR) filter based on Hubbert and Bringi (1995). Once the filtered PhiDP profile was obtained, KDP was calculated using a least squares linear fit.…”
Section: Methodsmentioning
confidence: 99%
“…Hubbert and Bringi, 1995;Wang and Chandrasekar, 2009). To evaluate qualitatively the impact of the length of the filter in our simple algorithm, a numerical model was developed.…”
Section: Differential Reflectivity (Z Dr )mentioning
confidence: 99%