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Erschienen in:
Polarization, Scattering, and Propagation of Electromagnetic Waves Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

10. Polarimetric Measurements of Precipitation

verfasst von : Alexander V. Ryzhkov, Dusan S. Zrnic

Erschienen in: Radar Polarimetry for Weather Observations

Verlag: Springer International Publishing

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Abstract

Quantitative precipitation estimation (QPE) is the subject of this chapter. A summary of various radar rainfall relations and their sensitivity to variability of drop-size distributions (DSD) at S, C, and X bands is presented. Emphasized is the algorithm based on the specific attenuation A. Various advantages of the R (A) methodology are discussed including its low sensitivity to the DSD variability and its immunity to radar miscalibration, partial beam blockage, and wet radome. The impact of contamination by hail and bright band on the performance of radar rainfall estimators is examined, and methods for mitigation of such contamination are suggested.
Large-scale validation of various QPE techniques is overviewed with the focus on the performance of the rainfall estimation algorithms which were tested on the US WSR-88D network of operational radars.
The problem of radar measurement of snow is addressed in the last section of the chapter. The challenges with reflectivity-based estimates of snow water equivalent rate are described, and possible polarimetric methodologies for snow measurements are outlined.

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Vorheriges Kapitel Polarimetric Classification of Radar Echo
Nächstes Kapitel Polarimetric Microphysical Retrievals
Literatur
Anagnostou, M., Kalogiros, J., Anagnostou, E., Tarolli, M., Papadopoulos, A., & Borga, M. (2010). Performance evaluation of high-resolution estimation from X-band dual-polarization radar for flash flood applications in mountainous basins. Journal of Hydrology, 394, 4–16.
Andrieu, H., & Creutin, J. D. (1995). Identification of vertical profiles of radar reflectivity for hydrological applications using an inverse method. Part I: Formulation. Journal of Applied Meteorology, 34, 225–239.
Andrieu, H., Delrieu, G., & Creutin, J. D. (1995). Identification of vertical profiles of radar reflectivity for hydrological applications using an inverse method. Part II: Sensitivity analysis and case study. Journal of Applied Meteorology, 34, 240–259.
Atlas, D., Srivastava, R., & Sekhon, R. (1973). Doppler radar characteristics of precipitation at vertical incidence. Reviews of Geophysics and Space Physics, 2, 1–35.
Atlas, D., & Ulbrich, C. (1977). Path- and area-integrated rainfall measurements by microwave attenuation in the 1 – 3 cm band. Journal of Applied Meteorology, 16, 1322–1331.
Balakrishnan, N., & Zrnic, D. (1990). Estimation of rain and hail rates in mixed-phase precipitation. Journal of the Atmospheric Sciences, 47, 565–583.
Battan, L. J. (1973). Radar observations of the atmosphere (324 pp.). Chicago, IL: The University of Chicago Press.
Bechini, R., Baldini, L., & Chandrasekar, V. (2013). Polarimetric radar observations in the ice region of precipitating clouds at C-band and X-band radar frequencies. Journal of Applied Meteorology and Climatology, 52, 1147–1169.
Bellon, A., Lee, G., & Zawadzki, I. (2005). Error statistics of VPR corrections in stratiform precipitation. Journal of Applied Meteorology, 44, 998–1015.
Borowska, L., Zrnic, D., Ryzhkov, A., Zhang, P., & Simmer, C. (2011). Polarimetric estimates of a 1-month accumulation of light rain with a 3-cm wavelength radar. Journal of Hydrometeorology, 12, 1024–1039.
Braham, R. (1990). Snow particle size spectra in lake effect snows. Journal of Applied Meteorology, 29, 200–207.
Brandes, E., Ikeda, K., Zhang, G., Schoenhuber, M., & Rasmussen, R. (2007). A statistical and physical description of hydrometeor distributions in Colorado snowstorms using a video-disdrometer. Journal of Applied Meteorology, 46, 634–650.
Brandes, E., Zhang, G., & Vivekanandan, J. (2002). Experiments in rainfall estimation with a polarimetric radar in a subtropical environment. Journal of Applied Meteorology, 41, 674–685.
Bringi, V., Rico-Ramirez, M., & Thurai, M. (2011). Rainfall estimation with an operational polarimetric C-band radar in the United Kingdom: Comparison with a gage network and error analysis. Journal of Hydrometeorology, 12, 935–954.
Bringi, V., Thurai, M., Nakagawa, K., Huang, G., Kobayashi, T., Adachi, A., Hanado, H., & Sekizawa, S. (2006). Rainfall estimation from C-band polarimetric radar in Okinawa, Japan: Comparisons with 2D-video disdrometer and 400 MHz wind profiler. Journal of the Meteorological Society of Japan, 84, 705–724.
Bukovcic, P., Ryzhkov, A., Zrnic, D., & Zhang, G. (2018). Polarimetric radar relations for quantification of snow based on the disdrometer data. Journal of Applied Meteorology and Climatology, 57, 102–120.
Chandrasekar, V., Gorgucci, E., & Scarchilli, G. (1993). Optimization of multiparameter radar estimates of rainfall. Journal of Applied Meteorology, 32, 1288–1293.
Chen, H., & Chandrasekar, V. (2015). The quantitative precipitation estimation system for Dallas - Fort Worth (DFW) urban remote sensing network. Journal of Hydrology, 531, 259–271.
Chen, H., Chandrasekar, V., & Bechini, R. (2017). An improved dual-polarization radar rainfall algorithm (DROPS2.0): Application in NASA IFloodS field campaign. Journal of Hydrometeorology, 18, 917–937.
Cifelli, R., Chandrasekar, V., Lim, S., Kennedy, P., Wang, Y., & Rutledge, S. (2011). A new dual-polarization radar rainfall algorithm: Application in Colorado precipitation events. Journal of Atmospheric and Oceanic Technology, 28, 352–364.
Cocks, S., Y. Wang, L. Tang, P. Zhang, A. Ryzhkov, B. Kaney, et al. (2019). A prototype quantitative precipitation estimation algorithm for operational S-band polarimetric radar using specific attenuation and specific differential phase. Part II: Case study analysis and performance verification. Journal of Hydrometeorology. Conditionally accepted.
Diederich, M., Troemel, S., Ryzhkov, A., Zhang, P., & Simmer, C. (2015). Use of specific attenuation for rainfall measurements at X-band radar wavelengths. Part II: Rainfall estimates and comparison with rain gauges. Journal of Hydrometeorology, 16, 503–516.
Doviak, R. J., & Zrnic, D. S. (2006). Doppler radar and weather observations., (p. 562). Reprint, Mineola, NY: Dover.
Fabry, F., & Zawadzki, I. (1995). Long-term radar observations of the melting layer of precipitation and their interpretation. Journal of the Atmospheric Sciences, 52, 838–851.
Figueras i Ventura, J., Baumahmoud, A.-A., Fradon, B., Dupuy, P., & Tabary, P. (2012). Long-term monitoring of French polarimetric radar data quality and evaluation of several polarimetric quantitative precipitation estimators in ideal conditions for operational implementation at C band. Quarterly Journal of the Royal Meteorological Society, 138, 2212–2228.
Figueras i Ventura, J., & Tabary, P. (2013). The new French operational polarimetric radar rainfall rate product. Journal of Applied Meteorology and Climatology, 52, 1817–1835.
Fujiyoshi, Y., Endoh, T., Yamada, T., Tsuboki, K., Tachibana, Y., & Wakahama, G. (1990). Determination of a Z–R relationship for snowfall using a radar and sensitive snow gauges. Journal of Applied Meteorology, 29, 147–152.
Germann, U., & Joss, J. (2002). Mesobeta profiles to extrapolate radar precipitation measurements above the Alps to the ground level. Journal of Applied Meteorology, 41, 542–557.
Giangrande, S., Collis, S., Theisen, A., & Tokay, A. (2014). Precipitation estimation from the ARM distributed radar network during the MC3E campaign. Journal of Applied Meteorology and Climatology, 53, 2130–2147.
Giangrande, S., & Ryzhkov, A. (2008). Estimation of rainfall based on the results of polarimetric echo classification. Journal of Applied Meteorology, 47, 2445–2462.
Griffin, E., Schuur, T., & Ryzhkov, A. (2018). A polarimetric analysis of ice microphysical processes in snow, using quasi-vertical profiles. Journal of Applied Meteorology and Climatology, 57, 31–50.
Gunn, K., & Marshall, J. (1958). The distribution with size of aggregated snowflakes. Journal of Meteorology, 15, 452–461.
Heymsfield, A., Bansemer, A., Field, P., Durden, S., Stith, J., Dye, J., Hall, W., & Grainger, C. (2002). Observations and parametrizations of particle size distributions in deep tropical cirrus and stratiform precipitating clouds: Results from in situ observations in TRMM field campaigns. Journal of the Atmospheric Sciences, 59, 3457–3490.
Heymsfield, A., Matrosov, S., & Wood, N. (2016). Toward improving ice water content and snow-rate retrievals from radars. Part I: X and W bands, emphasizing CloudSat. Journal of Applied Meteorology and Climatology, 55, 2063–2090.
Heymsfield, A., Schmitt, C., & Bansemer, A. (2013). Ice cloud particle size distributions and pressure – dependent terminal velocities from in situ observations at temperatures from 0°C to -86°C. Journal of the Atmospheric Sciences, 70, 4123–4154.
Houze, R., Hobbs, P., Herzegh, P., & Parsons, D. (1979). Size distributions of precipitation particles in frontal clouds. Journal of the Atmospheric Sciences, 36, 156–162.
Huang, G.-J., Bringi, V., Cifelli, R., Hudak, D., & Petersen, W. (2010). A methodology to derive radar reflectivity-liquid equivalent snow rate relations using C-band radar and a 2D video disdrometer. Journal of Atmospheric and Oceanic Technology, 27, 637–651.
Huang, G.-J., Bringi, V., Moisseev, D., Petersen, W., Bliven, L., & Hudak, D. (2015). Use of 2D-video disdrometer to derive mean density-size and Ze – SR relations: Four snow cases from the light precipitation validation environment. Atmospheric Research, 153, 34–48.
Illingworth, A., & Blackman, T. (2002). The need to represent raindrop size spectra as normalized gamma distributions for the interpretation of polarization radar observations. Journal of Applied Meteorology, 41, 286–297.
Illingworth, A., & Thompson, A. (2005). The estimation of moderate rain rates with operational polarization radar. In 32nd International Conference on Radar Meteorology. Albuquerque, NM. P9R.1.
Jameson, A. (1991). A comparison of microwave techniques for measuring rainfall. Journal of Applied Meteorology, 30, 32–54.
Kennedy, P. C., & Rutledge, S. A. (2011). S-band dual-polarization radar observations of winter storms. Journal of Applied Meteorology and Climatology, 50, 844–858.
Kitchen, M., Brown, R., & Davies, A. (1994). Real-time correction of weather radar data for the effects of bright band, range and orographic growth in widespread precipitation. Quarterly Journal of the Royal Meteorological Society, 120, 1231–1254.
Koistinen, J. (1991). Operational correction of radar rainfall errors due to vertical reflectivity profile. In Preprints, 25th International Conference on Radar Meteorology (pp. 297–302). Paris, France: American Meteorological Society.
Koistinen, J., Michelson, D., Hohti, H., & Peura, M. (2003). Operational measurement of precipitation in cold climates. In P. Meischner (Ed.), Weather radar, principles and advanced applications (pp. 78–114). Berlin: Springer.
Korolev, A., & Isaac, G. (2003). Roundness and aspect ratio of particles in ice clouds. Journal of the Atmospheric Sciences, 60, 1795–1808.
Lim, S., Cifelli, R., Chandrasekar, V., & Matrosov, S. (2013). Precipitation classification and quantification using X-band dual-polarization weather radar: Application in the Hydrometeorology Testbed. Journal of Atmospheric and Oceanic Technology, 30, 2108–2120.
Maesaka, T., Iwanami, K., & Maki, M. (2012). Non-negative KDP estimation by monotone increasing ΦDP assumption below melting layer. In Extended abstracts. The 7th European conference on radar meteorology and hydrology.
Maki, M., Park, S.-G., & Bringi, V. (2005). Effect of natural variations in rain drop size distributions on rain rate estimators of 3 cm wavelength polarimetric radar. Journal of the Meteorological Society of Japan, 83, 871–893.
Marshall, J. S., & Palmer, W. (1948). The distribution of raindrops with size. Journal of Meteorology, 5, 165–166.
Matrosov, S. (2010). Evaluating polarimetric X-band radar rainfall estimators during HMT. Journal of Atmospheric and Oceanic Technology, 27, 122–134.
Matrosov, S., Campbell, C., Kingsmill, D., & Sukovich, E. (2009). Assessing snowfall rates from X-band radar reflectivity measurements. Journal of Atmospheric and Oceanic Technology, 26, 2324–2339.
Matrosov, S., Cifelli, R., & Gochis, D. (2013). Measurements of heavy convective rainfall in presence of hail in flood-prone areas using an X-band polarimetric radar. Journal of Applied Meteorology and Climatology, 52, 395–407.
Matrosov, S., Cifelli, R., Kennedy, P., Nesbitt, S., Rutledge, S., Bringi, V., & Martner, B. (2006). A comparative study of rainfall retrievals based on specific differential phase shifts at X- and S-band frequencies. Journal of Atmospheric and Oceanic Technology, 23, 952–963.
Matrosov, S., Kingsmill, D., & Ralph, F. (2005). The utility of X-band polarimetric radar for quantitative estimates of rainfall parameters. Journal of Hydrometeorology, 6, 248–262.
Matrosov, S. Y., Clark, K. A., & Kingsmill, D. E. (2007). A polarimetric radar approach to indentify rain, melting-layer, and snow regions for applying corrections to vertical profiles of reflectivity. Journal of Applied Meteorology and Climatology, 46, 154–166.
May, P., Keenan, T., Zrnic, D., Carey, L., & Rutledge, S. (1999). Polarimetric radar measurements of tropical rain at 5-cm wavelength. Journal of Applied Meteorology, 38, 750–765.
Mitchell, D., & Heymsfield, A. (2005). Refinements in the treatment of ice particle terminal velocities, highlighting aggregates. Journal of the Atmospheric Sciences, 62, 1637–1644.
Moisseev, D., von Lerber, A., & Tiira, J. (2017). Quantifying the effect of riming on snowfall using ground-based observations. Journal of Geophysical Research – Atmospheres, 122, 4019–4037.
Molthan, A., Petersen, W., Nesbitt, S., & Hudak, D. (2010). Evaluating the snow crystal size distribution and density assumptions within a single-moment microphysics scheme. Monthly Weather Review, 138, 4254–4267.
Ohtake, T., & Henmi, T. (1970). Radar reflectivity of aggregated snowflakes. In Preprints, 14th Conference on Radar Meteorology (pp. 332–335). Tucson, AZ: American Meteorological Society.
Otto, T., & Russchenberg, H. W. J. (2011). Estimation of specific differential phase and differential backscatter phase from polarimetric weather radar measurements of rain. IEEE Geoscience and Remote Sensing Letters, 8(5), 988–992.
Park, S.-G., Maki, M., Iwanami, K., Bringi, V., & Chandrasekar, V. (2005). Correction of radar reflectivity and differential reflectivity for rain attenuation at X band. Part II: Evaluation and application. Journal of Atmospheric and Oceanic Technology, 22, 1633–1655.
Pepler, A., May, P., & Thurai, M. (2011). A robust error-based rain estimation method for polarimetric radar. Part I: Development of a method. Journal of Applied Meteorology and Climatology, 50, 2092–2103.
Petersen, W., et al. (1999). Mesoscale and radar observations of the Fort Collins flash flood of 28 July 1997. The Bulletin of the American Meteorological Society, 80, 191–216.
Puhakka, T. (1975). On the dependence of the Z – R relation on the temperature in snowfall. In Preprints, 18th conference on radar meteorology (pp. 504–507). Houston, TX: American Meteorological Society.
Qi, Y., Zhang, J., Zhang, P., & Cao, Q. (2013). VPR correction of bright band effects in radar QPEs using polarimetric radar observations. Journal of Geophysical Research-Atmospheres, 118, 3627–3633.
Rasmussen, R., Dixon, M., Vasiloff, S., Hage, F., Knight, S., Vivekanandan, J., & Xue, M. (2003). Snow nowcasting using a real-time correlation of radar reflectivity with snow gauge accumulation. Journal of Applied Meteorology, 42, 20–36.
Ryan, B. (2000). A bulk parametrization of the ice particle size distribution and the optical properties in ice clouds. Journal of the Atmospheric Sciences, 57, 1436–1451.
Ryzhkov, A., Diederich, M., Zhang, P., & Simmer, C. (2014). Utilization of specific attenuation for rainfall estimation, mitigation of partial beam blockage, and radar networking. Journal of Atmospheric and Oceanic Technology, 31, 599–619.
Ryzhkov, A., Kumjian, M., Ganson, S., & Khain, A. (2013a). Polarimetric radar characteristics of melting hail. Pt I: Theoretical simulations using spectral microphysical modeling. Journal of Applied Meteorology and Climatology, 52, 2849–2870.
Ryzhkov, A., Kumjian, M., Ganson, S., & Zhang, P. (2013b). Polarimetric radar characteristics of melting hail. Pt II: Practical implications. Journal of Applied Meteorology and Climatology, 52, 2871–2886.
Ryzhkov, A., Zhang, P., Krause, J., Schuur, T., Palmer, R., & Zrnic, D. (2012). Simultaneous measurements of precipitation using S-band and C-band polarimetric radars. In Weather radar and hydrology (pp. 87–92) (Symposium held in Exeter, UK, April 2011) (IAHS Publ. 351, 2012).
Ryzhkov, A., Zhang, P., Reeves, H., Kumjian, M., Tschallener, T., Troemel, S., & Simmer, C. (2016). Quasi-vertical profiles – a new way to look at polarimetric radar data. Journal of Atmospheric and Oceanic Technology, 33, 551–562.
Ryzhkov, A., & Zrnic, D. (1995). Comparison of dual-polarization radar estimators of rain. Journal of Atmospheric and Oceanic Technology, 12, 249–256.
Ryzhkov, A., & Zrnic, D. (1996). Assessment of rainfall measurement that uses specific differential phase. Journal of Applied Meteorology, 35, 2080–2090.
Ryzhkov, A., & Zrnic, D. (1998a). Polarimetric rainfall estimation in the presence of anomalous propagation. Journal of Atmospheric and Oceanic Technology, 15, 1321–1331.
Ryzhkov, A., & Zrnic, D. (1998b). Beamwidth effects on the differential phase measurements of rain. Journal of Atmospheric and Oceanic Technology, 15, 624–634.
Ryzhkov, A., & Zrnic, D. (1998c). Discrimination between rain and snow with a polarimetric radar. Journal of Applied Meteorology, 37, 1228–1240.
Ryzhkov, A. V., Giangrande, S. E., & Schuur, T. J. (2005). Rainfall estimation with a polarimetric prototype of the WSR-88D radar. Journal of Applied Meteorology, 44, 502–515.
Ryzhkov, A. V., Zrnic, D. S., & Fulton, R. (2000). Areal rainfall estimates using differential phase. Journal of Applied Meteorology, 39, 263–268.
Sachidananda, M., & Zrnic, D. S. (1986). Differential propagation phase shift and rainfall rate estimation. Radio Science, 21, 235–247.
Sachidananda, M., & Zrnic, D. S. (1987). Rain rate estimates from differential polarization measurements. Journal of Atmospheric and Oceanic Technology, 4, 588–598.
Saltikoff, E., Huuskonen, A., Hohti, H., Koistinen, J., & Jarvinen, H. (2010). Quality assurance in the FMI Doppler weather radar network. Boreal Environment Research, 15, 579–594.
Schneebeli, M., & Berne, A. (2012). An extended Kalman filter framework for polarimetric X-band weather radar data processing. Journal of Atmospheric and Oceanic Technology, 29, 711–730.
Schuur, T. J., Ryzhkov, A. V., & Clabo, D. R. (2005). Climatological analysis of DSDs in Oklahoma as revealed by 2D-video disdrometer and polarimetric WSR-88D. In Preprints, 32nd Conference on Radar Meteorology, CD-ROM, 15R.4.
Sekhon, R., & Srivastava, R. (1970). Snow size spectra and radar reflectivity. Journal of the Atmospheric Sciences, 27, 299–307.
Seliga, T., Bringi, V., & Al-Khatib, H. (1981). A preliminary study of comparative measurement of rainfall rate using the differential reflectivity radar technique and a raingauge network. Journal of Applied Meteorology, 20, 1362–1368.
Seo, D.-J., Breidenbach, J., Fulton, R., Miller, D., & O’Bannon, T. (2000). Real-time adjustment of range-dependent biases in WSR-88D rainfall estimates due to nonuniform vertical profile of reflectivity. Journal of Hydrometeorology, 1, 222–240.
Steiner, M., Houze, R., & Yuter, S. (1995). Climatological characterization of three-dimensional storm structure from operational radar and rain gauge data. Journal of Applied Meteorology, 34, 1978–2007.
Szyrmer, W., & Zawadzki, I. (2010). Snow studies. Part II: Average relationship between mass of snowflakes and their terminal fall velocity. Journal of the Atmospheric Sciences, 67, 3319–3335.
Tabary, P., Boumahmoud, A., Andrieu, H., Thompson, R., Illingworth, A., LeBouar, E., & Testud, J. (2011). Evaluation of two “integrated” polarimetric quantitative precipitation estimation (QPE) algorithms at C band. Journal of Hydrology, 405(3), 248–260.
Tabary, P., Le Henaff, A., Vulpiani, G., Parent-du-Chatelet, J., & Gourley, J. (2006). Melting layer characterization and identification with a C-band dual-polarization radar: A long-term analysis. In Preprints, Fourth European conference on radar in meteorology and hydrology (ERAD 2006), Barcelona (pp. 17–20).
Testud, J., Le Bouar, E., Obligis, E., & Ali-Mehenni, M. (2000). The rain profiling algorithm applied to polarimetric weather radar. Journal of Atmospheric and Oceanic Technology, 17, 332–356.
Testud, J., Oury, S., Black, R., Amayenc, P., & Dou, X. (2001). The concept of “normalized” distribution to describe raindrop spectra: A tool for cloud physics and cloud remote sensing. Journal of Applied Meteorology, 40, 1118–1140.
Thompson, E., Rutledge, S., Dolan, B., Thurai, M., & Chandrasekar, V. (2018). Dual-polarization radar rainfall estimation over tropical oceans. Journal of Applied Meteorology and Climatology, 57, 755–775.
Troemel, S., Kumjian, M., Ryzhkov, A., & Simmer, C. (2013). Backscatter differential phase – estimation and variability. Journal of Applied Meteorology and Climatology, 52, 2529–2548.
Vignal, B., Andrieu, H., & Creutin, J. D. (1999). Identification of vertical profiles of reflectivity from volume-scan radar data. Journal of Applied Meteorology, 38, 1214–1228.
Vignal, B., Galli, G., Joss, J., & Germann, U. (2000). Three methods to determine profiles of reflectivity from volumetric radar data to correct precipitation estimates. Journal of Applied Meteorology, 39, 1715–1726.
Vignal, B., & Krajewski, W. (2001). Large-sample evaluation of two methods to correct range-dependent error for WSR-88D rainfall estimates. Journal of Hydrometeorology, 2, 490–504.
Von Lerber, A., Moisseev, D., Bliven, L., Petersen, W., Harri, A., & Chandrasekar, V. (2017). Microphysical properties of snow and their link to Ze–S relations during BAECC 2014. Journal of Applied Meteorology and Climatology, 56, 1561–1582.
Vulpiani, G., Montopoli, M., Passeri, L., Giola, A., Giordano, P., & Marzano, F. (2012). On the use of dual-polarized C-band radar for operational rainfall retrieval in mountainous areas. Journal of Applied Meteorology and Climatology, 51, 405–425.
Wang, Y., & Chandrasekar, V. (2009). Algorithm for estimation of the specific differential phase. Journal of Atmospheric and Oceanic Technology, 26, 2565–2578.
Wang, Y., & Chandrasekar, V. (2010). Quantitative precipitation estimation in the CASA X-band dual-polarization radar network. Journal of Atmospheric and Oceanic Technology, 27, 1665–1676.
Wang, Y., Cocks, S., Tang, L., Ryzhkov, A., Zhang, P., Zhang, J. (2019). A prototype quantitative precipitation estimation algorithm for operational S-band polarimetric radar using specific attenuation and specific differential phase. Part I: Algorithm description and initial results. Journal of Hydrometeorology. Conditionally accepted.
Wang, Y., Zhang, J., Ryzhkov, A., & Tang, L. (2013). C-band polarimetric radar QPE based on specific differential propagation phase for extreme typhoon rainfall. Journal of Atmospheric and Oceanic Technology, 30, 1354–1370.
Wang, Y., Zhang, P., Ryzhkov, A., Zhang, J., & Chang, P.-L. (2014). The application of specific attenuation for tropical rainfall estimation in complex terrain. Journal of Hydrometeorology, 15, 2250–2266.
Wilks, D. (2006). Statistical methods in the atmospheric sciences (704 pp.). Amsterdam, The Netherlands: Elsevier.
Wolfe, J., & Snider, J. (2012). A relationship between reflectivity and snow rate for a high-altitude S-band radar. Journal of Applied Meteorology and Climatology, 51, 1111–1128.
Wolfensberger, D., Scipion, D., & Berne, A. (2015). Detection and characterization of the melting layer based on polarimetric radar scans. Quarterly Journal of the Royal Meteorological Society, 142, 108–124.
Woods, C., Stoelinga, T., & Locatelli, D. (2008). Size spectra of snow particles measured in wintertime precipitation in the Pacific Northwest. Journal of the Atmospheric Sciences, 65, 189–205.
Zawadzki, I., Jung, E., & Lee, G. (2010). Snow studies. Part I: A study of natural variability of snow terminal velocity. Journal of the Atmospheric Sciences, 67, 1591–1604.
Zawadzki, I., Szyrmer, W., Bell, C., & Fabry, F. (2005). Modeling of the melting layer. Part III: The density effect. Journal of the Atmospheric Sciences, 62, 3705–3723.
Zhang, G., Luchs, S., Ryzhkov, A., Xue, M., Ryzhkova, L., & Cao, Q. (2011). Winter precipitation microphysics characterized by polarimetric radar and video disdrometer observations in central Oklahoma. Journal of Applied Meteorology and Climatology, 50, 1558–1570.
Zhang, J., & Qi, Y. (2010). A real-time algorithm for the correction of brightband effects in radar-derived QPE. Journal of Hydrometeorology, 11, 1157–1171.
Zhang, P., Zrnic, D., & Ryzhkov, A. (2013). Partial beam blockage correction using polarimetric radar measurements. Journal of Atmospheric and Oceanic Technology, 30, 861–872.
Zrnic, D., & Ryzhkov, A. (1996). Advantages of rain measurements using specific differential phase. Journal of Atmospheric and Oceanic Technology, 13, 454–464.
Zrnic, D. S., Balakrishnan, N., Ziegler, C. L., Bringi, V. N., Aydin, K., & Matejka, T. (1993). Polarimetric signatures in the stratiform region of a mesoscale convective system. Journal of Applied Meteorology, 32, 678–693.
Zrnic, D. S., Doviak, R. J., Zhang, G., & Ryzhkov, R. V. (2010). Bias in differential reflectivity due to cross-coupling through the radiation patterns of polarimetric weather radars. Journal of Atmospheric and Oceanic Technology, 27, 1624–1637.
Zrnic, D. S., Raghavan, R., & Chandrasekar, V. (1994). Observation of copolar correlation coefficient through a bright band at vertical incidence. Journal of Applied Meteorology, 33, 45–52.
Metadaten
Titel
Polarimetric Measurements of Precipitation
verfasst von
Alexander V. Ryzhkov
Dusan S. Zrnic
Copyright-Jahr
2019
Buch
Radar Polarimetry for Weather Observations

Print ISBN: 978-3-030-05092-4

Electronic ISBN: 978-3-030-05093-1

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-05093-1_10