Abstract
The evolution of the microphysical properties of raindrops from Typhoon Mangkhut’s outer rainbands as the storm made landfall in South China in September 2018 was investigated. The observations by three two-dimensional video disdrometers deployed in central Guangdong Province were analyzed concurrently. It was found that the radial distribution of the median volume diameter (D0) and normalized intercept parameter (Nw) varied in different stages, and that raindrops smaller than 3.0 mm contributed more than 99% of the total precipitation. Considering the characteristics of precipitation in the typhoon outer rainband, a modified stratiform rain (SR)—convective rain (CR) separator line is proposed based on D0 and Nw scatterplots. Meanwhile, an “S—C likelihood index” is introduced, which was used to classify three rain types (SR, CR, and mixed rain). The CR results were highly consistent with those of the improved typhoon precipitation classification method based on rain rate. By calculating effectively the radar reflectivity factor (Ze) in the Ku and Ka bands, D0—Ze and Nw—D0 empirical relations were thereby derived for improving the accuracy of rainfall retrieval. Among the four quantitative precipitation estimators using S-band dual-polarimetric radar parameters simulated by the T-matrix method, the estimator that adopted the specific differential phase and differential reflectivity was found to be the most effective for both SR and CR.
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Bao, X. W., L. G. Wu, B. Tang, et al., 2019: Variable raindrop size distributions in different rainbands associated with Typhoon Fitow (2013). J. Geophys. Res. Atmos., 124, 12,262–12,281, doi: https://doi.org/10.1029/2019JD030268.
Bao, X. W., L. G. Wu, S. Zhang, et al., 2020a: Distinct raindrop size distributions of convective inner- and outer-rainband rain in Typhoon Maria (2018). J. Geophys. Res. Atmos., 125, e2020JD032482, doi: https://doi.org/10.1029/2020JD032482.
Bao, X. W., L. G. Wu, S. Zhang, et al., 2020b: A comparison of convective raindrop size distributions in the eyewall and spiral rainbands of Typhoon Lekima (2019). Geophys. Res. Lett., 47, e2020GL090729, doi: https://doi.org/10.1029/2020GL090729.
Beard, K. V., and R. J. Kubesh, 1991: Laboratory measurements of small raindrop distortion. Part 2: Oscillation frequencies and modes. J. Atmos. Sci., 48, 2245–2264, doi: https://doi.org/10.1175/1520-0469(1991)048<2245:Lmosrd>2.0.Co;2.
Beard, K. V., V. N. Bringi, and M. Thurai, 2010: A new understanding of raindrop shape. Atmos. Res., 97, 396–415, doi: https://doi.org/10.1016/j.atmosres.2010.02.001.
Brandes, E. A., G. F. Zhang, and J. Vivekanandan, 2002: Experiments in rainfall estimation with a polarimetric radar in a subtropical environment. J. Appl. Meteor., 41, 674–685, doi: https://doi.org/10.1175/1520-0450(2002)041<0674:EIREWA>2.0.CO;2.
Bringi, V. N., and V. Chandrasekar, 2001: Polarimetric Doppler Weather Radar: Principles and Applications. Cambridge University Press, Cambridge, 664 pp.
Bringi, V. N., V. Chandrasekar, J. Hubbert, et al., 2003: Raindrop size distribution in different climatic regimes from disdrometer and dual-polarized radar analysis. J. Atmos. Sci., 60, 354–365, doi: https://doi.org/10.1175/1520-0469(2003)060<0354:rsdidc>2.0.co;2.
Bringi, V. N., C. R. Williams, M. Thurai, et al., 2009: Using dual-polarized radar and dual-frequency profiler for DSD characterization: A case study from Darwin, Australia. J. Atmos. Oceanic Technol., 26, 2107–2122, doi: https://doi.org/10.1175/2009JTE-CHA1258.1.
Cao, Q., G. F. Zhang, E. Brandes, et al., 2008: Analysis of video disdrometer and polarimetric radar data to characterize rain microphysics in Oklahoma. J. Appl. Meteor. Climatol., 47, 2238–2255, doi: https://doi.org/10.1175/2008jamc1732.1.
Cao, Q., M. B. Yeary, and G. F. Zhang, 2012: Efficient ways to learn weather radar polarimetry. IEEE Trans. Educ., 55, 58–68, doi: https://doi.org/10.1109/te.2011.2118211.
Chakravarty, K., and P. E. Raj, 2013: Raindrop size distributions and their association with characteristics of clouds and precipitation during monsoon and post-monsoon periods over a tropical Indian station. Atmos. Res., 124, 181–189, doi: https://doi.org/10.1016/j.atmosres.2013.01.005.
Chandrasekar, V., W. Y. Li, and B. Zafar, 2005: Estimation of raindrop size distribution from spaceborne radar observations. IEEE Trans. Geosci. Remote Sens., 43, 1078–1086, doi: https://doi.org/10.1109/TGRS.2005.846130.
Chang, W. Y., T. C. C. Wang, and P. L. Lin, 2009: Characteristics of the raindrop size distribution and drop shape relation in typhoon systems in the western Pacific from the 2D video disdrometer and NCU C-band polarimetric radar. J. Atmos. Oceanic Technol., 26, 1973–1993, doi: https://doi.org/10.1175/2009JTE-CHA1236.1.
Chen, B. J., Y. Wang, and J. Ming, 2012: Microphysical characteristics of the raindrop size distribution in Typhoon Morakot (2009). J. Trop. Meteor., 18, 162–171, https://doi.org/10.3969/j.issn.1006-8775.2012.02.006.
Chen, B. J., Z. Q. Hu, L. P. Liu, et al., 2017: Raindrop size distribution measurements at 4,500 m on the Tibetan Plateau during TIPEX-III. J. Geophys. Res. Atmos., 122, 11092–11106, doi: https://doi.org/10.1002/2017JD027233.
Gorgucci, E., G. Scarchilli, V. Chandrasekar, et al., 2000: Measurement of mean raindrop shape from polarimetric radar observations. J. Atmos. Sci., 57, 3406–3413, doi: https://doi.org/10.1175/1520-0469(2000)057<3406:momrsf>2.0.co;2.
Gorgucci, E., G. Scarchilli, V. Chandrasekar, et al., 2001: Rainfall estimation from polarimetric radar measurements: Composite algorithms immune to variability in raindrop shape—size relation. J. Atmos. Oceanic Technol., 18, 1773–1786, doi: https://doi.org/10.1175/1520-0426(2001)018<1773:Refprm>2.0.Co;2.
Gorgucci, E., V. Chandrasekar, V. N. Bringi, et al., 2002: Estimation of raindrop size distribution parameters from polarimetric radar measurements. J. Atmos. Sci., 59, 2373–2384, doi: https://doi.org/10.1175/1520-0469(2002)059<2373:Eorsdp>2.0.Co;2.
Houze, R. A. Jr., 2010: Clouds in tropical cyclones. Mon. Wea. Rev., 138, 293–344, doi: https://doi.org/10.1175/2009mwr2989.1.
Huang, J. C., C. K. Yu, J. Y. Lee, et al., 2012: Linking typhoon tracks and spatial rainfall patterns for improving flood lead time predictions over a mesoscale mountainous watershed. Water Resour. Res., 48, doi: https://doi.org/10.1029/2011wr011508.
Ishimaru, A., 1991: Electromagnetic Wave Propagation, Radiation, and Scattering. Prentice-Hall, London, 637 pp.
Ji, L., H. N. Chen, L. Li, et al., 2019: Raindrop size distributions and rain characteristics observed by a PARSIVEL disdrometer in Beijing, northern China. Remote Sens., 11, 1479, doi: https://doi.org/10.3390/rs11121479.
Kidd, C., A. Becker, G. J. Huffman, et al., 2017: So, how much of the earth’s surface is covered by rain gauges. Bull. Amer. Meteor. Soc., 98, 69–78, doi: https://doi.org/10.1175/BAMS-D-14-00283.1.
Kruger, A., and W. F. Krajewski, 2002: Two-dimensional video disdrometer: A description. J. Atmos. Oceanic Technol., 19, 602–617, doi: https://doi.org/10.1175/1520-0426(2002)019<0602:TDVDAD>2.0.CO;2.
Lee, G. W., 2006: Sources of errors in rainfall measurements by polarimetric radar: Variability of drop size distributions, observational noise, and variation of relationships between R and polarimetric parameters. J. Atmos. Oceanic Technol., 23, 1005–1028, doi: https://doi.org/10.1175/JTECH1899.1.
Liu, D. F., L. Pang, and B. T. Xie, 2009: Typhoon disaster in China: Prediction, prevention, and mitigation. Nat. Hazards, 49, 421–436, doi: https://doi.org/10.1007/s11069-008-9262-2.
Lu, X. Q., H. Yu, M. Ying, et al., 2021: Western North Pacific tropical cyclone database created by the China Meteorological Administration. Adv. Atmos. Sci., 38, 690–699, doi: https://doi.org/10.1007/s00376-020-0211-7.
Maki, M., T. D. Keenan, Y. Sasaki, et al., 2001: Characteristics of the raindrop size distribution in tropical continental squall lines observed in Darwin, Australia. J. Appl. Meteor., 40, 1393–1412, doi: https://doi.org/10.1175/1520-0450(2001)040<1393:cotrsd>2.0.co;2.
Seliga, T. A., and V. N. Bringi, 1976: Potential use of radar differential reflectivity measurements at orthogonal polarizations for measuring precipitation. J. Appl. Meteor., 15, 69–76, doi: https://doi.org/10.1175/1520-0450(1976)015<0069:Puordr>2.0.Co;2.
Skwira, G. D., J. L. Schroeder, and R. E. Peterson, 2005: Surface observations of landfalling hurricane rainbands. Mon. Wea. Rev., 133, 454–465, doi: https://doi.org/10.1175/mwr-2866.1.
Tang, Q., H. Xiao, C. W. Guo, et al., 2014: Characteristics of the raindrop size distributions and their retrieved polarimetric radar parameters in northern and southern China. Atmos. Res., 135–136, 59–75, doi: https://doi.org/10.1016/j.atmosres.2013.08.003.
Testud, J., S. Oury, R. A. Black, et al., 2001: The concept of “normalized” distribution to describe raindrop spectra: A tool for cloud physics and cloud remote sensing. J. Appl. Meteor., 40, 1118–1140, doi: https://doi.org/10.1175/1520-0450(2001)040<1118:Tcon-dt>2.0.Co;2.
Thurai, M., G. J. Huang, V. N. Bringi, et al., 2007: Drop shapes, model comparisons, and calculations of polarimetric radar parameters in rain. J. Atmos. Oceanic Technol., 24, 1019–1032, doi: https://doi.org/10.1175/jtech2051.1.
Thurai, M., V. N. Bringi, and P. T. May, 2010: CPOL radar-derived drop size distribution statistics of stratiform and convective rain for two regimes in Darwin, Australia. J. Atmos. Oceanic Technol., 27, 932–942, doi: https://doi.org/10.1175/2010jtecha1349.1.
Thurai, M., P. N. Gatlin, and V. N. Bringi, 2016: Separating stratiform and convective rain types based on the drop size distribution characteristics using 2D video disdrometer data. Atmos. Res., 169, 416–423, doi: https://doi.org/10.1016/j.atmosres.2015.04.011.
Tokay, A., and D. A. Short, 1996: Evidence from tropical raindrop spectra of the origin of rain from stratiform versus convective clouds. J. Appl. Meteor., 35, 355–371, doi: https://doi.org/10.1175/1520-0450(1996)035<0355:eftrso>2.0.co;2.
Tokay, A., P. G. Bashor, E. Habib, et al., 2008: Raindrop size distribution measurements in tropical cyclones. Mon. Wea. Rev., 136, 1669–1685, doi: https://doi.org/10.1175/2007mwr2122.1.
Ulbrich, C. W., 1983: Natural variations in the analytical form of the raindrop size distribution. J. Appl. Meteor. Climatol., 22, 1764–1775, doi: https://doi.org/10.1175/1520-0450(1983)022<1764:Nvitaf>2.0.Co;2.
Ulbrich, C. W., and D. Atlas, 1998: Rainfall microphysics and radar properties: Analysis methods for drop size spectra. J. Appl. Meteor., 37, 912–923, doi: https://doi.org/10.1175/1520-0450(1998)037<0912:rmarpa>2.0.co;2.
Ulbrich, C. W., and L. G. Lee, 2002: Rainfall characteristics associated with the remnants of tropical storm helene in upstate South Carolina. Wea. Forecasting, 17, 1257–1267, doi: https://doi.org/10.1175/1520-0434(2002)017<1257:rcawtr>2.0.co;2.
Wang, M. J., K. Zhao, M. Xue, et al., 2016: Precipitation microphysics characteristics of a Typhoon Matmo (2014) rainband after landfall over eastern China based on polarimetric radar observations. J. Geophys. Res. Atmos., 121, 12,415–12,433, doi: https://doi.org/10.1002/2016jd025307.
Wang, M. J., K. Zhao, W.-C. Lee, et al., 2018: Microphysical and kinematic structure of convective-scale elements in the inner rainband of Typhoon Matmo (2014) after landfall. J. Geophys. Res. Atmos., 123, 6549–6564, doi: https://doi.org/10.1029/2018JD028578.
Wang, Y. Q., 2002: Vortex rossby waves in a numerically simulated tropical cyclone. Part II: The role in tropical cyclone structure and intensity changes. J. Atmos. Sci., 59, 1239–1262, doi: https://doi.org/10.1175/1520-0469(2002)059<1239:Vrwian>2.0.Co;2.
Wen, L., K. Zhao, G. F. Zhang, et al., 2016: Statistical characteristics of raindrop size distributions observed in East China during the Asian summer monsoon season using 2-D video disdrometer and micro rain radar data. J. Geophys. Res. Atmos., 121, 2265–2282, doi: https://doi.org/10.1002/2015jd024160.
Wen, L., K. Zhao, G. Chen, et al., 2018: Drop size distribution characteristics of seven typhoons in China. J. Geophys. Res. Atmos., 123, 6529–6548, doi: https://doi.org/10.1029/2017JD027950.
Willmott, C. J., S. M. Robeson, and K. Matsuura, 2012: A refined index of model performance. Int. J. Climatol., 32, 2088–2094, doi: https://doi.org/10.1002/joc.2419.
Willoughby, H. E., F. D. Marks, and R. J. Feinberg, 1984: Stationary and moving convective bands in hurricanes. J. Atmos. Sci., 41, 3189–3211, doi: https://doi.org/10.1175/1520-0469(1984)041<3189:Samcbi>2.0.Co;2.
Wu, D., K. Zhao, M. R. Kumjian, et al., 2018: Kinematics and microphysics of convection in the outer rainband of Typhoon Nida (2016) revealed by polarimetric radar. Mon. Wea. Rev., 146, 2147–2159, doi: https://doi.org/10.1175/mwr-d-17-0320.1.
Wu, Z. H., Y. Zhang, L. F. Zhang, et al., 2019: Characteristics of summer season raindrop size distribution in three typical regions of western Pacific. J. Geophys. Res. Atmos., 124, 4054–4073, doi: https://doi.org/10.1029/2018JD029194.
Ying, M., W. Zhang, H. Yu, et al., 2014: An overview of the China Meteorological Administration tropical cyclone database. J. Atmos. Oceanic Technol., 31, 287–301, doi: https://doi.org/10.1175/jtech-d-12-00119.1.
Yue, C. J., P. Y. Chen, X. T. Lei, et al., 2006: A preliminary study on method of quantitative precipitation estimation (QPE) for landfall typhoon. Scientia Meteor. Sinica, 26, 17–23, doi: https://doi.org/10.3969/j.issn.1009-0827.2006.01.003. (in Chinese)
Zhang, G., J. Vivekanandan, and E. A. Brandes, 2001: A method for estimating rain rate and drop size distribution from polarimetric radar measurements. IEEE Trans. Geosci. Remote Sens., 39, 830–841, doi: https://doi.org/10.1109/36.917906.
Zhang, H. S., Y. Zhang, H. R. He, et al., 2017: Comparison of raindrop size distributions in a midlatitude continental squall line during different stages as measured by parsivel over East China. J. Appl. Meteor. Climatol., 56, 2097–2111, doi: https://doi.org/10.1175/JAMC-D-16-0336.1.
Zhao, K., H. Huang, M. J. Wang, et al., 2019: Recent progress in dual-polarization radar research and applications in China. Adv. Atmos. Sci., 36, 961–974, doi: https://doi.org/10.1007/s00376-019-9057-2.
Zheng, H. P., Y. Zhang, L. F. Zhang, et al., 2021: Precipitation microphysical processes in the inner rainband of Tropical Cyclone Kajiki (2019) over the South China Sea revealed by polarimetric radar. Adv. Atmos. Sci., 38, 65–80, doi: https://doi.org/10.1007/s00376-020-0179-3.
Acknowledgments
Thanks are given to Tengfei Zheng from the Guangzhou Institute of Tropical and Marine Meteorology of China Meteorological Administration for help in processing the observations of the two-dimensional video disdrometer (2DVD). We are also grateful to Qin Huang from the University of Auckland for invaluable assistance throughout the preparation of the original manuscript. Finally, we thank the Editor and all anonymous reviewers for their valuable suggestions that have helped improve this paper.
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Supported by the National Key Research and Development Program of China (2018YFC1507905), National Natural Science Foundation of China (41675136 and 41875170), National Undergraduate Innovation and Entrepreneurship Training Program (201910300040Z), Opening Project of Key Laboratory for Aerosol—Cloud—Precipitation of China Meteorological Administration (KDW1405), Natural Science Foundation of Guangdong Province of China—Major Basic Research and Cultivation Projects (2015A030308014), and Guangxi Key Research and Development Program (AB20159013).
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Lyu, J., Xiao, H., Du, Y. et al. Variations of Raindrop Size Distribution and Radar Retrieval in Outer Rainbands of Typhoon Mangkhut (2018). J Meteorol Res 36, 500–519 (2022). https://doi.org/10.1007/s13351-022-1134-2
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DOI: https://doi.org/10.1007/s13351-022-1134-2