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Improved Rainfall Estimation Based on Corrected Radar Reflectivity in Partial Beam Blockage Area of S-band Dual-Polarization Radar

S밴드 이중편파레이더의 부분 빔 차폐영역 내 반사도 보정을 통한 지상강우추정 개선

  • Lee, Jeong-Eun (Weather Radar Center, Korea Meteorological Administration) ;
  • Jung, Sung-Hwa (Weather Radar Center, Korea Meteorological Administration) ;
  • Kim, Hae-Lim (Weather Radar Center, Korea Meteorological Administration) ;
  • Lee, Sun-Ki (Weather Radar Center, Korea Meteorological Administration)
  • 이정은 (기상청 기상레이더센터 레이더분석과) ;
  • 정성화 (기상청 기상레이더센터 레이더분석과) ;
  • 김해림 (기상청 기상레이더센터 레이더분석과) ;
  • 이선기 (기상청 기상레이더센터 레이더분석과)
  • Received : 2017.09.19
  • Accepted : 2017.11.26
  • Published : 2017.12.31

Abstract

A correction method of reflectivity in partial beam blockage (PBB) area is suggested, which is based on the combination of digital terrain information and self-consistency principle between polarimetric observation. First, the reflectivity was corrected by adding the radar energy loss estimated from beam blockage simulation using digital elevation model (DEM) and beam propagation geometry in standard atmosphere. The additional energy loss by unexpected obstacles and non-standard beam propagation was estimated by using the coefficient between accumulated reflectivity ($Z_H$) and differences of differential phase shift (${\Phi}_{DP}$) along radial direction. The proposed method was applied to operational S-band dual-polarization radar at Jindo and its performance was compared with those of simulation method and self-consistency method for six rainfall cases. When the accumulated reflectivity and increment of ${\Phi}_{DP}$ along radial direction are too small, the self-consistency method has failed to correct the reflectivity while the combined method has corrected the reflectivity bias reasonably. The correction based on beam simulation showed the underestimation. For evaluation of rainfall estimation, the FBs (FRMSEs) of simulation method and self-consistency principle were -0.32 (0.59) and -0.30 (0.57), respectively. The proposed method showed the lowest FB (-0.24) and FRMSE (0.50). The FB and FMSE were improved by about 18% and by 19% in comparison to those before correction (-0.42 and 0.70). We can conclude that the proposed method can improve the accuracy of rainfall estimation in PBB area.

Keywords

References

  1. Andrieu, H., and J. D. Creutin, 1995: Identification of vertical profiles of radar reflectivity using an inverse method. Part I: Formulation. J. Appl. Meteorol., 34, 225-239. https://doi.org/10.1175/1520-0450(1995)034<0225:IOVPOR>2.0.CO;2
  2. Andrieu, H., J. D. Creutin, G. Delrieu, and D. Faure, 1997: Use of a weather radar for the hydrology of a mountainous area. Part I: radar measurement interpretation. J. Hydrol., 193, 1-25. https://doi.org/10.1016/S0022-1694(96)03202-7
  3. Atlas, D., R. C. Srivastava, and R. S. Sekhon, 1973: Doppler radar characteristics of precipitation at vertical incidence. Rev. Geophys., 11, 1-35. https://doi.org/10.1029/RG011i001p00001
  4. Bech, J., B. Codina, J. Lorente, and D. Bebbington, 2003: The sensitivity of single polarization weather radar beam blockage correction to variability in the vertical refractivity gradient. J. Atmos. Oceanic Technol., 20, 845-855. https://doi.org/10.1175/1520-0426(2003)020<0845:TSOSPW>2.0.CO;2
  5. Blackman, T. M., and A. J. Illingworth, 1997: Examining the lower limit of KDP rainrate estimation including a case study at S-band. Proc. of the 28th Conf. on Radar Meteorology, Austin, American Meteorological Society, 117-118.
  6. Bogush, A. J., 1989: Radar and the Atmosphere, Artech House, 452 pp.
  7. Bringi, V. N., V. Chandrasekar, N. Balakrishnan, and D. S. Zrnic, 1990: An examination of propagation effects in rainfall on radar measurements at microwave frequencies. J. Atmos. Oceanic Technol., 7, 829-840. https://doi.org/10.1175/1520-0426(1990)007<0829:AEOPEI>2.0.CO;2
  8. Carey, L. D., R. Cifelli, W. A. Petersen, and S. A. Rutledge, 2000: Preliminary Report on TRMM-LBA Rainfall Estimation Using the S-Pol Radar. Tech. Rep. 697, Colorado State University, 19 pp.
  9. Chang, P.-L., P.-F. Lin, B. J.-D. Jou, and J. Zhang, 2009: An application of reflectivity climatology in constructing radar hybrid scans over complex terrain. J. Atmos. Ocean. Technol., 26, 1315-1327. https://doi.org/10.1175/2009JTECHA1162.1
  10. Cho, Y.-H., G. W. Lee, K.-E. Kim, and I. Zawadzki, 2006: Identification and removal of ground echoes and anomalous propagation using the characteristics of radar echoes. J. Atmos. Oceanic Technol., 23, 1206-1222. https://doi.org/10.1175/JTECH1913.1
  11. Creutin, J. D., H. Andrieu, and D. Faure, 1997: Use of a weather radar for the hydrology of a mountainous area. Part II: radar measurement validation. J. Hydrol., 193, 26-44. https://doi.org/10.1016/S0022-1694(96)03203-9
  12. Delrieu, G., and J. D. Creutin, 1995: Simulation of radar mountain returns using a digitized terrain model. J. Atmos. Oceanic Technol., 12, 1038-1049. https://doi.org/10.1175/1520-0426(1995)012<1038:SORMRU>2.0.CO;2
  13. Donaldson, R. J., 1964: A demonstration of antenna beam errors in radar reflectivity patterns. J. Appl. Meteorol., 3, 611-623. https://doi.org/10.1175/1520-0450(1964)003<0611:ADOABE>2.0.CO;2
  14. Doviak, R. J., and D. S. Zrnic, 1993: Doppler radar and weather observations. Academic Press, 562 pp.
  15. Friedrich, K., U. Germann, J. J. Gourley, and P. Tabary, 2007: Effects of radar beam shielding on rainfall estimation for the polarimetric C-band radar. J. Atmos. Oceanic Technol., 24, 1839-1859. https://doi.org/10.1175/JTECH2085.1
  16. Fulton, R. A., J. P. Breidenbach, D.-J. Seo, D. A. Miller, and T. O'Bannon, 1998: The WSR-88D rainfall algorithm. Wea. Forecasting, 13, 377-395. https://doi.org/10.1175/1520-0434(1998)013<0377:TWRA>2.0.CO;2
  17. Germann, U., 2000: Spatial Continuity of Precipitation, Profiles of Radar Reflectivity and Precipitation Measurements in the Alps. Ph.D. thesis, Swiss Federal Institude of Technology (ETH), Nr 13932, doi:10.3929/ethz-a-004090618.
  18. Germann, U., and J. Joss, 2001: Variograms of radar reflectivity to describe the spatial continuity of Alpine precipitation. J. Appl. Meteorol., 40, 1042-1059. https://doi.org/10.1175/1520-0450(2001)040<1042:VORRTD>2.0.CO;2
  19. Germann, U., and J. Joss, 2002: Mesobeta profiles to extrapolate radar precipitation measurements above the Alps to the ground level. J. Appl. Meteorol., 41, 542-557. https://doi.org/10.1175/1520-0450(2002)041<0542:MPTERP>2.0.CO;2
  20. Germann, U., and J. Joss, 2004: Operational measurement of precipitation in mountainous terrain. In Weather Radar: Principles and Advanced Applications. P. Meischner Ed., Springer-Verlag, 52-77.
  21. Giangrande, S. E., and A. V. Ryzhkov, 2005: Calibration of dual-polarization radar in the presence of partial beam blockage. J. Atmos. Oceanic Technol., 22, 1156-1166. https://doi.org/10.1175/JTECH1766.1
  22. Gourley, J. J., P. Tabary, and J. Parent du Chatelet, 2007: A fuzzy logic algorithm for the separation of precipitating from nonprecipitating echoes using polarimetric radar observations. J. Atmos. Oceanic Technol., 24, 1439-1451. https://doi.org/10.1175/JTECH2035.1
  23. Hubbert, J., and V. N. Bringi, 1995: An iterative filtering technique for the analysis of copolar differential phase and dual-frequency radar measurements. J. Atmos. Oceanic Technol., 12, 643-648. https://doi.org/10.1175/1520-0426(1995)012<0643:AIFTFT>2.0.CO;2
  24. Joss, J., and R. Lee, 1995: The application of radar-gauge comparisons to operational precipitation profile corrections. J. Appl. Meteorol., 34, 2612-2630. https://doi.org/10.1175/1520-0450(1995)034<2612:TAORCT>2.0.CO;2
  25. Joss, J., A. Waldvogel, and C. G. Collier, 1990: Precipitation measurement and hydrology. In Radar in Meteorology, D. Atlas Ed. American Meteorological Society, 577-606.
  26. Jung, S.-H., and K. E. Kim, 2007: Simulation of radar beam propagation using digital elevation model. Proc. of the spring meeting of Korea Meteor. Soc., Daejeon, Korean Meteorological Society, 346-347.
  27. Jung, S.-H., and G.-W. Lee, 2010: Statistical characteristics of atmospheric conditions related to radar beam propagation using radiosonde data in 2005-2006. J. Korean Earth Sci. Soc., 31, 584-599, doi:10.5467/JKESS.2010.31.6.584 (in Korean with English abstract).
  28. Kabeche, F., J. F. Ventura, B. Fradon, A. A. Boumahmoud, P. Dupuy, S. Westrelin, and P. Tabary, 2011: Quantitative precipitation estimation (QPE) in the French Alps with a dense network of polarimetric X-band radars. Preprints, 35th Conf. on Radar Meteorology, Pittsburgh, American Meteorological Society, P11.150. [Available online at https://ams.confex.com/ams/35Radar/webprogram/Paper191894.html.]
  29. Kim, H.-L., M.-K. Suk, H.-S. Park, G.-W. Lee. and J.-S. Ko, 2016: Dual-polarization radar rainfall estimation in Korea according to raindrop shapes obtained by using a 2D Video Disdrometer. Atmos. Meas. Tech., 9, 3863-3878, doi:10.5194/amt-9-3863-2016.
  30. Kruger, A., and W. F. Krajewski, 2002: Two-dimensional video disdrometer: A description. J. Atmos. Oceanic Technol., 19, 602-617. https://doi.org/10.1175/1520-0426(2002)019<0602:TDVDAD>2.0.CO;2
  31. Kucera, P. A., W. F. Krajewski, and C. B. Young, 2004: Radar beam occultation studies using GIS and DEM technology: An example study of Guam. J. Atmos. Oceanic Technol., 21, 995-1006. https://doi.org/10.1175/1520-0426(2004)021<0995:RBOSUG>2.0.CO;2
  32. Kwon, S., G. Lee, S.-H. Jung, H. S. Park, M.-K. Suk, J. W. Cha, and C.-K. Lee, 2012: Evaluation Radar and KNU QPE Algorithm. Proc. of Int. Wea. Radar Workshop, Daegu, 245-249.
  33. Kwon, S., S.-H. Jung, and G. W. Lee, 2015: Inter-comparison of radar rainfall rate using constant altitude plan position indicator and hybrid surface rainfall maps. J. Hydrol., 531, 234-247, doi:10.1016/j.jhydrol.2015.08.063.
  34. Lang, T. J., S. W. Nesbitt, and L. D. Carey, 2009: On the correction of partial beam blockage in polarimetric radar data. J. Atmos. Oceanic Technol., 26, 943-957. https://doi.org/10.1175/2008JTECHA1133.1
  35. Lee, C.-R., 2015: Rainfall Estimation at the Lowest Heights using Reflectivity Statistics and Fuzzy Logic. M. S. Thesis, Kyungpook National University, 69 pp.
  36. Lim, S., R. Cifelli, V. Chandrasekar, and S. Y. Matrosov, 2013: Precipitation classification and quantification using X-band dual-polarization weather radar: Application in the hydrometeorology testbed. J. Atmos. Oceanic Technol., 30, 2108-2120, doi:10.1175/JTECH-D-12-00123.1.
  37. Lyu, G., S.-H. Jung, K.-Y. Nam, S. Kwon, C.-R. Lee, and G. W. Lee, 2015: Improvement of radar rainfall estimation using radar reflectivity data from the hybrid lowest elevation angles. J. Korean Earth Sci. Soc., 36, 109-124, doi:10.5467/JKESS.2015.36.1.109.
  38. Maddox, R. A., J. Zhang, J. J. Gourley, and K. W. Howard, 2002: Weather radar coverage over the contiguous United States. Wea.Forecasting, 17, 927-934. https://doi.org/10.1175/1520-0434(2002)017<0927:WRCOTC>2.0.CO;2
  39. O'Bannon, T., 1997: Using a 'terrain-based' hybrid scan to improve WSR-88D precipitation estimates. Preprints, 28th Conf. on Radar Meteorology, American Meteorological Society, 506-507.
  40. Park, S.-H., S.-H. Jung, J.-H. Lee, and K.-E. Kim, 2009: Correction of radar reflectivity over beam blocking area by accumulated radar reflectivity. J. Korea Water Resour. Assoc., 42, 607-617 (in Korean with English abstract). https://doi.org/10.3741/JKWRA.2009.42.8.607
  41. Pellarin, T., G. Delrieu, G.-M. Saulnier, H. Andrieu, B. Vignal, and J.-D. Creutin, 2002: Hydrologic visibility of weather radar systems operating in mountainous regions: Case study for the Ardeche Catchment (France). J. Hydrometeor., 3, 539-555. https://doi.org/10.1175/1525-7541(2002)003<0539:HVOWRS>2.0.CO;2
  42. Probert-Jones, J. R., 1962: The radar equation in meteorology. Quart. J. Roy. Meteor. Soc., 88, 485-495. https://doi.org/10.1002/qj.49708837810
  43. Ryzhkov, A. V., T. J. Schuur, D. W. Burgess, P. L. Heinselman, S. E. Giangrande, and D. S. Zrnic, 2005: The Joint Polarization Experiment: polarimetric rainfall measurements and hydrometeor classification. Bull. Amer. Meteor. Soc., 86, 809-824. https://doi.org/10.1175/BAMS-86-6-809
  44. Ryzhkov, A. V., D. S. Zrnic, and D. Atlas, 1997: Polarimetrically tuned R(Z) relations and comparison of radar rainfall methods. J. Appl. Meteorol., 36, 340-349. https://doi.org/10.1175/1520-0450(1997)036<0340:PTRZRA>2.0.CO;2
  45. Testud, J., E. Le Bouar, E. Obligis, and M. Ali-Mehenni, 2000: The rain profiling algorithm applied to polarimetric weather radar. J. Atmos. Oceanic Technol., 17, 332-356. https://doi.org/10.1175/1520-0426(2000)017<0332:TRPAAT>2.0.CO;2
  46. Vivekanandan, J., W. M. Adams, and V. N. Bringi, 1991: Rigorous approach to polarimetric radar modeling of hydrometeor orientation distributions. J. Appl. Meteorol., 30, 1053-1063. https://doi.org/10.1175/1520-0450(1991)030<1053:RATPRM>2.0.CO;2
  47. Vivekanandan, J., D. N. Yates, and E. A. Brandes, 1999: The influence of terrain on rainfall estimates from radar reflectivity and specific propagation phase observations. J. Atmos. Oceanic Technol., 16, 837-845. https://doi.org/10.1175/1520-0426(1999)016<0837:TIOTOR>2.0.CO;2
  48. Westrick, K. J., C. F. Mass, and B. A. Colle, 1999: The limitations of the WSR-88D radar network for quantitative precipitation measurement over the coastal western United States. Bull. Amer. Meteor. Soc., 80, 2289-2298. https://doi.org/10.1175/1520-0477(1999)080<2289:TLOTWR>2.0.CO;2
  49. Ye, B.-Y., G. W. Lee, S. Kwon, H.-W. Lee, J.-C. Ha, and Y.-H. Kim, 2015: Preliminary analysis of data quality and cloud statistics from Ka-band cloud radar. Atmosphere, 25, 19-30, doi:10.14191/Atmos.2015.25.1.019 (in Korean with English abstract).
  50. Young, C. B., B. R. Nelson, A. A. Bradley, J. A. Smith, C. D. Peters-Lidard, A. Kruger, and M. L. Baeck, 1999: An evaluation of NEXRAD precipitation estimates in complex terrain. J. Geophys. Res., 104, 19691-19703. https://doi.org/10.1029/1999JD900123
  51. Zhang, J., and Coauthors, 2011: National mosaic and multisensor QPE (NMQ) system: Description, results, and future plans. Bull. Amer. Meteor. Soc., 92, 1321-1338, doi:10.1175/2011BAMS-D-11-00047.1.
  52. Zhang, P., D. Zrnic, and A. Ryzhkov, 2013: Partial beam blockage correction using polarimetric radar measurements. J. Atmos. Ocean. Technol., 30, 861-872, doi:10.1175/JTECH-D-12-00075.1.
  53. Zhuang, W., and L. Liu, 2012: A reflectivity climatology algorithm for hybrid scans and its application to radar coverage over the Tibetan Plateau. Acta Meteor. Sinica, 26, 746-757, doi:10.1007/s13351-012-0606-1.
  54. Zrnic, D. S., and A. Ryzhkov, 1996: Advantages of rain measurements using specific differential phase. J. Atmos. Oceanic Technol., 13, 454-464. https://doi.org/10.1175/1520-0426(1996)013<0454:AORMUS>2.0.CO;2