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Archive
by Ribaud, J.-F., Bousquet, O., Coquillat, S., Al-Sakka, H., Lambert, D., Ducrocq, V. and Fontaine, E.
Abstract:
A fuzzy logic hydrometeor classification algorithm (HCA), allowing to discriminate between six microphysical species regardless of the radar wavelength is presented and evaluated. The proposed method is based upon combination sets of dual-polarimetric observables (reflectivity at horizontal polarization ZH, differential reflectivity ZDR, specific differential phase KDP, correlation coefficient ρHV) along with temperature data inferred from a Numerical Weather Prediction (NWP) model outputs.The performance of the HCA is evaluated using 20 hours of multi-frequency dual-polarimetric radar data collected during the first Special Observation Period (SOP1) of the Hydrological Cycle in the Mediterranean Experiment (HyMeX). A new method based upon inter-comparisons of retrieved hydrometeor data deduced from pairs of neighboring radars (S-band vs. S-band and S-band vs. C-band) over a common sampling area is proposed to evaluate the consistency of hydrometor classification outputs. S-/C-band radar comparisons generally show better consistency than S-/S-band radar comparisons due to issues with the identification of the 0 °C isotherm on one of the two S-band radar. Imperfect attenuation correction at C-band may also lead into differences in hydrometeor fields retrieved from the C- and S-band radars in convective situations, but retrieved hydrometeor data are globally very consistent from one radar to another. Comparisons against in-situ airborne data also confirm the overall good performance of the HCA. In a second experiment, an original method allowing to produce multi-radar 3D hydrometeor fields from single-radar 2D hydrometeor data is tested on a bow-echo convective system observed with C- and S-band radars. The resulting 3D hydrometeor fields provide a detailed view of the bow-echo microphysical structure and confirm the good performance of both the HCA and interpolation technique.
Reference:
Ribaud, J.-F., Bousquet, O., Coquillat, S., Al-Sakka, H., Lambert, D., Ducrocq, V. and Fontaine, E., 2016: Evaluation and application of hydrometeor classification algorithm outputs inferred from multi-frequency dual-polarimetric radar observations collected during HyMeXQuarterly Journal of the Royal Meteorological Society, 142, 95-107.
Bibtex Entry:
@Article{Ribaud2016a,
  Title                    = {Evaluation and application of hydrometeor classification algorithm outputs inferred from multi-frequency dual-polarimetric radar observations collected during HyMeX},
  Author                   = {Ribaud, J.-F. and Bousquet, O. and Coquillat, S. and Al-Sakka, H. and Lambert, D. and Ducrocq, V. and Fontaine, E.},
  Journal                  = {Quarterly Journal of the Royal Meteorological Society},
  Year                     = {2016},

  Month                    = {August},
  Number                   = {S1},
  Pages                    = {95-107},
  Volume                   = {142},

  Abstract                 = {A fuzzy logic hydrometeor classification algorithm (HCA), allowing to discriminate between six microphysical species regardless of the radar wavelength is presented and evaluated. The proposed method is based upon combination sets of dual-polarimetric observables (reflectivity at horizontal polarization ZH, differential reflectivity ZDR, specific differential phase KDP, correlation coefficient ρHV) along with temperature data inferred from a Numerical Weather Prediction (NWP) model outputs.The performance of the HCA is evaluated using 20 hours of multi-frequency dual-polarimetric radar data collected during the first Special Observation Period (SOP1) of the Hydrological Cycle in the Mediterranean Experiment (HyMeX). A new method based upon inter-comparisons of retrieved hydrometeor data deduced from pairs of neighboring radars (S-band vs. S-band and S-band vs. C-band) over a common sampling area is proposed to evaluate the consistency of hydrometor classification outputs. S-/C-band radar comparisons generally show better consistency than S-/S-band radar comparisons due to issues with the identification of the 0 °C isotherm on one of the two S-band radar. Imperfect attenuation correction at C-band may also lead into differences in hydrometeor fields retrieved from the C- and S-band radars in convective situations, but retrieved hydrometeor data are globally very consistent from one radar to another. Comparisons against in-situ airborne data also confirm the overall good performance of the HCA. In a second experiment, an original method allowing to produce multi-radar 3D hydrometeor fields from single-radar 2D hydrometeor data is tested on a bow-echo convective system observed with C- and S-band radars. The resulting 3D hydrometeor fields provide a detailed view of the bow-echo microphysical structure and confirm the good performance of both the HCA and interpolation technique.},
  Copublication            = {7: 7 Fr},
  Doi                      = {10.1002/qj.2589},
  ISSN                     = {1477-870X},
  Keywords                 = {dual-polarization radar, hydrometeor identification, convective systems},
  Owner                    = {hymexw},
  Publisher                = {John Wiley \& Sons, Ltd},
  Timestamp                = {2016.08.26},
  Url                      = {http://dx.doi.org/10.1002/qj.2589}
}