Abstract
Tropical cyclone Ockhi (2017) had a very unusual track with unprecedented rapid intensification (RI) and dynamical evolution. During its early phases, a C-band polarimetric Doppler Weather Radar (DWR), installed in Thiruvananthapuram, Kerala, continuously monitored it. The present study focuses on the observations and analysis of the extremely tall precipitation features overshooting Troposphere, called hot towers, prior to and during the RI stages of Ockhi. The maximum height of such features within the inner core exceeded 20 km, with the maximum observed areal coverage over 800 km2. The peak convective burst (CB) activity was seen 9–12 h prior to the onset of RI of Ockhi. The differences among the Maximum Sustained Wind speed (MSW) and Mean Sea Level Pressure (MSLP) obtained from various best track data sets were in the range 5–25 knots and 1–28 hPa, respectively, with the maximum difference seen during the CB phase. Ockhi also exhibited differential reflectivity enhancements, often collocated with the hot towers. Further, we investigated upper ocean Tropical Cyclone Heat Potential (TCHP), derived from the Global Temperature and Salinity Profile Programme (GTSPP) profiles. During the peak CB activity, the TCHP was around 121 kJ cm−2, almost 50 kJ cm−2 higher than the climatological mean of that area. Significant drop in TCHP was observed in the next 24 h concurrent with the RI. The radar-based observations of the hot towers in conjunction with the TCHP and other relevant ocean parameters could prove to be valuable indicators in predicting the RI phase of the storms and gaining a better insight for estimating the damage potential of the cyclones.
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Data availability
The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
References
Alberoni PP, Ducrocq V, Gregoric G, Haase G, Holleman I, Lindskog M, MacPherson B, Nuret M, Rossa A. (2002) Quality and assimilation of radar data for NWP—A review. COST 717 Working Doc. EUR 20600, pp 38
Battan LJ (1973) Radar observation of the atmosphere. The University of Chicago Press, Chicago, p 324
Black PG (1978) Mesoscale cloud patterns revealed by apollo-soyuz photographs. Bull Am Meteor Soc 59(11):1409–1419
Black PG, Burpee RW, Dorst NM, Adams WL (1986) Appearance of the sea surface in tropical cyclones. Weather Forecast 1(1):102–107
DeMaria M, Sampson CR, Knaff JA, Musgrave KD (2014) Is tropical cyclone intensity guidance improving? Bull Am Meteor Soc 95(3):387–398
Emanuel K, Zhang F (2016) On the predictability and error sources of tropical intensity forecasts. J Atmos Sci 73:3739–3747
Fierro AO, Reisner JM (2011) High-resolution simulation of the electrification and lightning of Hurricane Rita during the period of rapid intensification. J Atmos Sci 68:477–494
Franklin JL, McAdie JC, Lawrence MB (2003) Trends in track forecasting for tropical cyclones threatening the United States, 1970–2001. Bullet Am Meteorological Soc 84:1197–1203
Friedrich K, Hagen M (2006) A quality control concept for radar reflectivity, polarimetric parameters, and doppler velocity. J Atmos Oceanic Tech 23:865–887
Gabella M, Notarpietro R (2002) Ground clutter characterization and elimination in mountainous terrain. Use of radar observations in hydrological and NWP models. Copernicus, Katlenburg-Lindau, pp 305–311
Gall R, Franklin J, Marks F, Rappaport EN, Toepfer F (2013) The hurricane forecast improvement project. Bull Am Meteor Soc 94:329–343
Geetha B, Balachandran S (2020) Development and rapid intensification of tropical cyclone OCKHI (2017) over the North Indian Ocean. J Atmos Sci Res 03(3):13–22
Gentry RC, Rodgers EB, Steranka J, Shenk WE (1980) Predicting tropical storm intensity using satellite measured equivalent blackbody temperature of cloud tops. Mon Weather Rev 108:445–455
Giangrande SE, Ryzhkov AV (2008) Estimation of rainfall based on the results of polarimetric echo classification. J Appl Meteorol Climatol 47:2245–2462
Gray WM (1998) The formation of tropical cyclones. Meteorol Atmos Phys 67:37–69
Guimond SR, Heymsfield GM, Turk FJ (2010) Multiscale observations of Hurricane Dennis (2005), the effects of hot towers on rapid intensification. J Atmos Sci 67:633–654
Guimond SR, Heymsfield GM, Reasor PD, Didlake AC Jr (2016) The rapid intensification of Hurricane Karl (2010): new remote sensing observations of convective bursts from the Global Hawk platform. J Atmos Sci 73:3617–3639
Gunn KLS, Marshall JS (1955) The effect of wind shear on falling precipitation. J Meteorol 12:339–349
Hall MPM, Goddard JWF, Cherry SM (1984) Identification of hydrometeors and other targets by dual-polarization radar. Radio Sci 19:132–140
Hannesen R (2001) Quantitative precipitation estimation from radar data—a review of current methodologies. Deliverable 4.1 for the research project MUSIC supported by the European Commission, pp 31
Hazelton AT, Hart RW, Rogers RF (2017) Analyzing simulated convective bursts in two Atlantic hurricanes. Part I: Burst formation and development. Mon Weather Rev 145:3073–3094
Heistermann M, Jacobi S, Pfaff T (2013) Techincal note: an open source library for processing weather radar data (wradlib). Hydrol Earth Syst Sci 17:863–871
Hill KA, Lackman GM (2009) Influence of environmental humidity on tropical cyclone size. Mon Weather Rev 137:3294–3315
Hitschfeld W (1960) The motion and erosion of convective storms in severe vertical wind shear. J Atmos Sci 17:270–282
Hubbert J, Bringi VN, Carey LD (1998) CSU-CHILL polarimetric radar measurements from a severe hail storm in eastern Colorado. J Appl Meteorol 37:749–775
Illingworth AJ, Goddard JWF, Cherry SM (1987) Polarization radar studies of precipitation development in convective storms. Q J Royal Meteorol Soc 113:469–489
Kelley OA, Halverson JB (2011) How much tropical cyclone intensification can result from the energy released inside of a convective burst? J Geophys Res 116:D20118
Kelley OA, Stout J, Halverson JB (2004) Tall precipitation cells in tropical cyclone eyewalls are associated with tropical cyclone intensification. Geophys Res Lett 31:L24112
Kelley OA, Stout J, Halverson JB (2005) Hurricane intensification detected by continuously monitoring tall precipitation in the eyewall. Geophys Res Lett 32:L20819
Kotal SD, Bhowmik SKR (2013) Large scale characteristics of rapidly intensifying tropical cyclones over the Bay of Bengal and rapid intensification Index[J]. Mausam 64(1):13–24
Kumar KK, Subrahmanyam KV, Kumar CP, Shanmugasundari J, Koushik N, Ajith RP, Devi LG (2020) C-band dual-polarization Doppler weather radar at Thumba (8.537°N, 76.865°E): initial results and validation. J Appl Remote Sens 14(4):044509
Kumjian MR (2013) Principles and applications of dual-polarization weather radar Part I: description of the polarimetric radar variables. J Operational Meteorol 1(19):226–242
Kumjian MR, Lombardo KA (2017) Insights in to the evolving microphysical and kinematic structure of Northeastern US winter storms from dual-polarization doppler radar. Mon Weather Rev 145:1033–1061
Kumjian MR, Ryzhkov AV (2008) Polarimetric signatures in supercell thunderstorms. J Appl Meteorol Climatol 47:1940–1961
Kumjian MR, Ryzhkov AV (2009) Strom-relative helicity revealed from polarimetric radar measurements. J Atmos Sci 66:667–685
Lakshmanan V, Zhang J, Hondl K, Langston C (2012) A statistical approach to mitigating persistent clutter in radar reflectivity data. IEEE J Selected Topics Appl Earth Observations Remote Sens 5(2):652–662
Leipper DF (1967) Observed ocean conditions and Hurricane Hilda. J Atmos Sci 24:182–196
Lin J, Qian T (2019) Rapid intensification of tropical cyclones observed by AMSU satellites. Geophys Res Lett 46:7054–7062
Lyons WA, Keen CS (1994) Observations of lightning in convective supercells within tropical storms and hurricanes. Mon Weather Rev 122(8):1897–1916
Maclay KS, DeMaria M, Vonder Haar TH (2008) Tropical cyclone inner-core kinetic energy evolution. Mon Weather Rev 136(12):4882–4898
McAdie CJ, Lawrence MB (2000) Improvements in tropical cyclone track forecasting in the Atlantic basin, 1970–1998. Bull Am Meteor Soc 81:989–997
Meischner PE. (2003) Weather radar: principles and advanced applications. Springer-Verlag, pp 300
Na W, McBride JL, Zhang XH, Duan YH (2018) Understanding biases in tropical cyclone intensity forecast error. Weather Forecast 33:129–138
Nair A, Das SS, Thomas A, Sarangi C, Kanawade VP (2020) Role of cyclone “Ockhi” in the re-distribution of aerosols and its impact on the precipitation over the Arabian Sea. Atmos Res 235:104797
Park H, Ryzhkov AV, Zrnic DS, Kim KE (2009) The hydrometeor classification algorithm for the polarimetric WSR-88D: description and application to an MCS. Weather Forecast 24:730–748
Peng X, Fei J, Huang X, Cheng X (2017) Evaluation and error analysis of official forecasts of tropical cyclones during 2005–14 over the Western North Pacific. Part I: strom tracks. Weather Forecast 32(2):689–712
Powell MD, Aberson SD (2001) Accuracy of United States tropical cyclone landfall forecasts in the Atlantic basin, 1976–2000. Bull Am Meteor Soc 82:2749–2767
Rodgers E, Olson W, Halverson J, Simpson J, Pierce H (2000) Environmental forcing of Supertyphoon Paka’s (1997) latent heat structure. J Appl Meteorol 39(12):1983–2006
Rogers RF, Fritsch JM (2001) Surface cyclogenesis from convectively driven amplification of midlevel mesoscale convective vortices. Mon Weather Rev 129(4):605–637
Ryzhkov AV, Zrnic DS (1998) Polarimetric method for ice water content determination. J Appl Meteorol 35:2080–2090
Ryzhkov AV, Kumjian MR, Ganson SM, Khain AP (2013) Polarimetric radar characteristics of melting hail. Part I: theoretical simulations using spectral microphysical modeling. J Appl Meteorol Climatol 52:2849–2870
Sad HP, Kumar P, Panda SK (2021) Doppler weather radar data assimilation at convective-allowing grid spacing for predicting an extreme weather event in Southern India. Int J Remote Sens 42(10):3681–3707
Simpson J, Halverson JB, Harold P, Carlos M, Iguchi T (1998) Eyeing the eye: exciting early stage science results from TRMM. Bull Am Meteor Soc 79:1711
Snyder JC, Blueistein HB, Venkatesh V, Frasier SJ (2013) Observations of polarimetric signatures in supercells by an X-band mobile doppler radar. Mon Weather Rev 141:3–29
Snyder JC, Ryzhkov AV, Kumjian MR, Khain AP, Picca J (2015) A ZDR column detection algorithm to examine convective storm updrafts. Weather Forecast 30:1819–1844
Steranka J, Rodgers EB, Gentry RC (1986) The relationship between satellite measured convective bursts and tropical cyclone intensification. Mon Weather Rev 114:1539–1546
Straka JM, Zrnic DS, Ryzhkov AV (2000) Bulk hydrometeor classification and quantification using polarimetric radar data: synthesis of relations. J Appl Meteorol 39:1341–1372
Subrahmanyam KV, Baby SR (2020) C-band doppler weather radar observations during the passage of tropical cyclone ‘Ockhi.’ Nat Hazards 104:2197–2211
Tallapragada V, Kieu C, Trahan S, Zhang Z et al (2015) Forecasting tropical cyclones in the Western North Pacific Basin using the NCEP operational HWRF: real-time implementation in 2012. Weather Forecast 30(5):1355–1373
Tang X, Ping F, Yang S, Li M, Peng J (2018) Relationship between convective bursts and the rapid intensification of Typhoon Mujigae (2015). Atmos Sci Lett 19:e811
Vulpiani G, Montopoli M, Passeri DL, Gioia GA, Giordano P, Marzano SF (2012) On the use of dual-polarized c-band radar for operational rainfall retrieval in mountainous areas. J Appl Meteorol 51(2):405–425
Wang Y (2009) How do outer spiral rainbands affect tropical cyclone structure and intensity? J Atmos Sci 66:1250–1273
Wang H, Wang YQ (2014) A numerical study of Typhoon Megi (2010). Part I: rapid intensification. Mon Weather Rev 142(1):29–48
Yamaguchi M, Nakazawa T, Aonashi K (2012) Tropical cyclone track forecasts using JMA model with ECMWF and JMA initial conditions. Geophys Res Lett 39:L09801. https://doi.org/10.1029/2012GL051473
Yamaguchi M, Nakagawa M, Ishida J, Sato H (2017) WGNE intercomparison of tropical cyclone forecasts by operational NWP models: a quarter-century and beyond. Bull Am Meteorol Soc 98. https://doi.org/10.1175/BAMS-D-16-0133.1
Zawadzki I. (1984) Factors affecting the precision of radar measurement of rain. Preprints, 22nd Conf. on Radar Meteorology, Zurich, Switzerland, American Meteorological Society, 251–256
Zehr R (1988) Use of VAS data to diagnose the mesoscale environment of convective storms. Weather Forecast 3(1):33–49
Zhang J, Wang S (2006) An automated 2D multipass doppler radar velocity dealiasing scheme. J Atmos Oceanic Tech 23:1239–1248
Zheng Y, Rosenfeld D (2015) Linear relation between convective cloud base height and updrafts and application to satellite retrievals. Geophys Res Lett 42:6485–6491
Acknowledgements
The authors would like to thank Director, Space Applications Centre (SAC), Indian Space Research Organisation (ISRO) for his constant encouragement and motivation. The authors are also sincerely grateful to Deputy Director, Earth, Ocean, Atmosphere, Planetary Science and Application Area (EPSA) for his valuable suggestions and guidance for this study. The authors are also thankful to the Meteorological & Oceanographic Satellite Data Archival Centre (MOSDAC) team and ISRO Telemetry, Tracking and Command Network (ISTRAC) team for their excellent support in data acquisition and technical issues.
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Panda, S.K., Mandal, A.K., Shukla, B.P. et al. A study of rapid intensification of tropical cyclone Ockhi using C-band polarimetric radar. Meteorol Atmos Phys 134, 86 (2022). https://doi.org/10.1007/s00703-022-00921-6
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DOI: https://doi.org/10.1007/s00703-022-00921-6