Abstract
In the present study, we used attenuated corrected radar reflectivity factor (Ze) and rain-drop size distribution (DSD) to investigate the hydrometeors distribution in the intense precipitating cloud cells (PCCs) from precipitation radar (PR) onboard on Global Precipitation Measurement (GPM). The DSD parameters consist of two variables, namely, mass-weighted mean diameter (Dm) in mm and normalized scaling parameters for hydrometeors concentration (Nw) in mm–1 m–3. We defined two types of PCCs, which are the proxies for the intense rainfall events. First PCC is termed as Cumulonimbus Towers (CbTs), which consist of Ze > = 20 dBZ at 12 km altitude, and its base height must be less than 3 km altitude. We also defined intense convective clouds (ICCs), which consist of Ze > 30 (40) dBZ at 8 km (3 km), respectively, and are termed as ICC8 and ICC3, respectively. The spatial distribution reveals that continental areas consist of a higher frequency of CbTs and ICC8s compared to oceanic areas, whereas ICC3s are uniformly distributed over tropical land and oceanic areas. The DSD parameters reveal that intense PCCs have larger hydrometeors (Dm), whereas weaker (less Ze) vertical profiles consist of higher concentration (Nw) of smaller hydrometeors (Dm). Land consists of larger hydrometeors (Dm) compared to oceanic areas, and differences are higher in liquid phase regimes compared to mixed phase regimes. The vertical profiles of Ze, Dm and Nw are showing the higher regional differences among the different land-based areas, compared to various tropical ocean basins. Western Himalaya Foothills and Sierra De Cordoba consist of the strongest vertical profiles with the largest Dm on the Earth’s areas during JJAS and DJFM months, respectively.
Similar content being viewed by others
References
Bhat, G. S., & Kumar, S. (2015). Vertical structure of cumulonimbus towers and intense convective clouds over the South Asian region during the summer monsoon season. Journal of Geophysical Research: Atmospheres, 120, 1710–1722.
Cetrone, J., & Houze Jr, R. A. (2009). Anvil clouds of tropical mesoscale convective systems in monsoon regions. Quarterly Journal of the Royal Meteorological Society: A Journal of the Atmospheric Sciences, Applied Meteorology and Physical Oceanography, 135(639), 305–317.
Das, S., & Maitra, A. (2016). Vertical profile of rain: Ka band radar observations at tropical locations. Journal of Hydrology, 534, 31–41. https://doi.org/10.1016/j.jhydrol.2015.12.053
Del Castillo-Velarde, C., Kumar, S., Valdivia-Prado, J. M., Moya-Álvarez, A. S., Flores-Rojas, J. L., & Villalobos-Puma, E. (2021). Evaluation of GPM dual-frequency precipitation radar algorithms to estimate drop size distribution parameters, using ground-based measurement over the central Andes of Peru. Earth Systems and Environment, 5, 597–619.
Dee, D. P., et al. (2011). The ERA-Interim reanalysis: Con"guration and performance of the data assimilation system. Quarterly Journal Royal Meteorological Society, 137, 553–597.
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.
Flores-Rojas, J. L., Cuxart, J., Piñas-Laura, M., Callañaupa, S., Suárez-Salas, L., & Kumar, S. (2019a). Seasonal and diurnal cycles of surface boundary layer and energy balance in the central andes of peru, mantaro valley. Atmosphere, 10(12), 779.
Flores Rojas, J. L., Moya-Alvarez, A. S., Kumar, S., Martínez-Castro, D., Villalobos-Puma, E., & Silva-Vidal, Y. (2019b). Analysis of possible triggering mechanisms of severe thunderstorms in the tropical central Andes of Peru, Mantaro Valley. Atmosphere, 10(6), 301.
Hamada, A., & Takayabu, Y. N. (2016). Improvements in detection of light precipitation with the global precipitation measurement dual-frequency precipitation radar (GPM DPR). Journal of Atmospheric and Oceanic Technology, 33(4), 653–667.
Heymsfield, G. M., Tian, L., Heymsfield, A. J., Li, L., & Guimond, S. (2010). Characteristics of deep tropical and subtropical convection from nadir-viewing high–altitude airborne doppler radar. Journal of the Atmospheric Sciences, 67, 285–308.
Hirose, M., & Nakamura, K. (2005). Spatial and diurnal variation of precipitation systems over Asia observed by the TRMM precipitation radar. Journal of Geophysical Research, 110, D05106. https://doi.org/10.1029/2004JD004815
Hou, A. Y., Kakar, R. K., Neeck, S., Azarbarzin, A. A., Kummerow, C. D., Kojima, M., Oki, R., Nakamura, K., & Iguchi, T. (2014). The global precipitation measurement mission. Bulletin of the American Meteorological Society, 95, 701–722.
Houze, R. A., Jr. (1993). Cloud dynamics. Academic Press.
Houze, R. A. (2012). Orographic effects on precipitating clouds. Reviews of Geophysics, 50(RG1001), 47. https://doi.org/10.1029/2011RG000365
Houze, R. A., Jr., Wilton, D. C., & Smull, F. B. (2007ba). Monsoon Convection in the Himalayan Region as Seen by the TRMM Precipitation Radar. Quarterly Journal of the Royal Meteorological Society, 133, 1389–1411.
Kalnay, E., et al. (1996). The NCEP/NCAR 40 year reanalysis project. Bulletin of the American Meteorological Society, 77, 437–470.
Kumar, S. (2023). Regional and seasonal differences of radar reflectivity slopes in lower troposphere in convective and stratiform precipitation using TRMM PR data. Theoretical and Applied Climatology, 1–10.
Kumar, S., & Bhat, G. S. (2019). Frequency of a state of cloud systems over tropical warm ocean. Environmental Research Communications, 1(6), 061003.
Kumar, S., & Silva, Y. (2019). Vertical characteristics of radar reflectivity and DSD parameters in intense convective clouds Over South East South Asia during Indian summer monsoon. International Journal of Remote Sensing, 40, 9604–9628. https://doi.org/10.1080/01431161.2019.1633705
Kumar, S. (2016). Three dimensional characteristics of precipitating cloud systems observed during Indian summer monsoon. Advances in Space Research, 58(6), 1017–1032. https://doi.org/10.1016/j.asr.2016.05.052
Kumar, S. (2017a). A 10-year climatology of vertical properties of most active convective clouds over the Indian regions using TRMM PR. Theoretical and Applied Climatology, 127(1–2), 429–440. https://doi.org/10.1007/s00704-015-1641-5
Kumar, S. (2017b). Vertical characteristics of reflectivity in intense convective clouds using TRMMPR data. Environment and Natural Resources Research, 7(2), 58. https://doi.org/10.5539/enrr.v7n2p58
Kumar, S. (2018). Vertical structure of precipitating shallow echoes observed from TRMM during Indian summer monsoon. Theoretical and Applied Climatology, 133(3–4), 1051–1059. https://doi.org/10.1007/s00704-017-2238-y
Kumar, S., & Bhat, G. S. (2016). Vertical profiles of radar reflectivty factor in intense convective clouds in the tropics. Journal of Applied Meteorology and Climatology, 55(5), 1277–1286. https://doi.org/10.1175/JAMC-D-15-0110.1
Kumar, S., & Bhat, G. S. (2017). Vertical structure of orographic precipitating clouds observed over South Asia during summer monsoon season. Journal of Earth System Science, 126(8), 114. https://doi.org/10.1007/s12040-017-0897-9
Kumar, S., Castillo-Velarde, C. D., Flores Rojas, J. L., Moya-Álvarez, A., Martínez Castro, D., Srivastava, S., & Silva, Y. (2020a). Precipitation structure during various phases the life cycle of precipitating cloud systems using geostationary satellite and space-based precipitation radar over Peru. Giscience & Remote Sensing, 57(8), 1057–1082. https://doi.org/10.1080/15481603.2020.1843846
Kumar, S., Castro, C., Moya-Álvarez, A. S., Martínez-Castro, D., & Silva-Vidal, Y. (2020b). Effect of South American low level flow and andes mountain on the tropical and mid latitude precipitating cloud systems: GPM observations. Theoretical and Applied Climatology, 141, 157–172. https://doi.org/10.1007/s00704-020-03155-x
Kumar, S., Castro, C., Valdivia, J. H., Rojas, J. F. L., MagalyCallanaupa, S., Silva-Vidal, Y., Moya-Álvarez, A. S., & Martínez-Castro, D. (2020c). Rainfall characteristics in the Central Andes of Peru from a vertically pointed profile rain radar and in-situ field Campaign. Atmosphere, 11, 248. https://doi.org/10.3390/atmos11030248
Kumar, S., & Silva, Y. (2020). Distribution of hydrometeors in intense convective clouds over South America during austral summer monsoon seasons: GPM observations. International Journal of Remote Sensing, 41, 3677–3707. https://doi.org/10.1080/01431161.2019.1707899
Kumar, S., Flores, J. L., Moya-Álvarez, A. S., Martinez-Castro, D., & Silva, Y. (2023). Characteristics of cloud properties over South America and over Andes observed using CloudSat and reanalysis data. International Journal of Remote Sensing, 44(6), 1976–2004.
Kumar, S., Silva-Vidal, Y., Moya-Álvarez, A. S., & Martínez-Castro, D. (2019a). Effect of the surface wind flow and topography on precipitating cloud systems over the andes and associated Amazon Basin: GPM observations. Atmospheric Research, 225, 193–208. https://doi.org/10.1016/j.atmosres.2019.03.027
Kumar, S., Silva-Vidal, Y., Moya-Álvarez, A. S., & Martínez-Castro, D. (2019b). Seasonal and regional differences in extreme rainfall events and their contribution to the world’s precipitation: GPM observations: GPM observations. Advances in Meteorology, 2019, 1–15. https://doi.org/10.1155/2019/4631609
Kumar, S., & Srivastava, S. (2022). A vertical characteristics of precipitating cloud systems during different phases of life cycle of cloud systems using satellite-based radar over tropical Oceanic areas. Journal of Applied and Natural Science, 14(4), 1272–1285. https://doi.org/10.31018/jans.v14i4.3691
Lasher-Trapp, S., Kumar, S., Moser, D. H., Blyth, A. M., French, J. R., Jackson, R. C., Leon, D. C., & Plummer, D. M. (2018). On different microphysical pathways to convective rainfall. Journal of Applied Meteorology and Climatology, 57(10), 2399–2417. https://doi.org/10.1175/JAMC-D-18-0041.1
Lavanya S., Kirankumar, N. V. P., Aneesh, S., Subrahmanyam, K. V., & Sijikumar, S. (2019). Seasonal variation of raindrop size distribution over a coastal station Thumba: A quantitative analysis. Atmospheric Research. https://doi.org/10.1016/j.atmosres.2019.06.004
Li, W., & Schumacher, C. (2011). Thick anvils as viewed by the TRMM precipitation radar. Journal of Climate, 24, 1718–1735.
Liu, C., & Zipser, E. J. (2015). The global distribution of largest, deepest, and most intense precipitation systems. Geophysical Research Letters, 42(9), 3591–3595.
Liu, C., Zipser, E. J., Cecil, D. J., Nesbitt, S. W., & Sherwood, S. (2008). A cloud and precipitation feature database from nine years of TRMM observations. Journal of Applied Meteorology and Climatology, 47(10), 2712–2728. https://doi.org/10.1175/2008JAMC1890.1
Lucas, C., Zipser, E. J., & LeMone, M. A. (1994ba). Vertical velocity in oceanic convection off tropical Australia. Journal of Atmospheric Science, 51, 3183–3193.
Medina, S., Houze, R. A., Jr., Kumar, A., & Niyogi, D. (2010). Summer monsoon convection in the Himalayan region: Terrain and land cover effects. Quarterly Journal of the Royal Meteorological Society, 136, 593–616.
Nesbitt, S. W., Cifelli, R., & Rutledge, S. A. (2006). Storm morphology and rainfall characteristics of TRMM precipitation features. Monthly Weather Review, 134, 2702–2721.
Nesbitt, S. W., Zipser, E. J., & Cecil, D. J. (2000). A census of precipitation features in the tropics using TRMM radar, ice scattering, and lightning observations. Journal of Climate, 13, 4087–4106.
Petersen, W. A., & Rutledge, S. A. (2001). Regional variability in tropical convection: Observation from TRMM. Journal of Climate, 13, 4087–4106.
Qie, X. S., Wu, X. K., Yuan, T., Bian, J. C., & Lu, D. R. (2014). Comprehensive pattern of deep convective systems over the Tibetan Plateau-South Asian monsoon region based on TRMM data. Journal of Climate, 27, 6612–6626. https://doi.org/10.1175/JCLI-D-14-00076.1
Riehl, H., & Malkus, J. S. (1958). On the heat balance in the equatorial trough zone. Geophysica, 6, 503–538.
Romatschke, U., Medina, S., & Houze, R. A., Jr. (2010). Regional, seasonal, and diurnal variations of extreme convection in South Asian region. Journal of Climate, 23, 419–439.
Sherwood, S. C., Minnis, P., & McGill, M. (2004). Deep convective cloud-top heights and their thermodynamic control during crystal-face. Journal of Geophysical Research: Atmospheres. https://doi.org/10.1029/2004JD004811
Stith, J. L., Dye, J. E., Bansemer, A., Heymsfield, A. J., Grainger, C. A., Petersen, W. A., & Cifelli, R. (2002). Microphysical observations of tropical clouds. Journal of Applied Meteorology, 41, 97–117.
Takayabu, Y. N. (2002). Spectral representation of rain profille and diurnal variations observed with TRMM PR over the equatorial area. Geophysical Research Letters, 29(12), 1584. https://doi.org/10.1029/2001GL014113
Williams, E. R., Weber, M. E., & Orville, R. E. (1989). The relationship between lightning type and convective state of thunderclouds. Journal of Geophysical Research, 94, 13213–13220.
Wu, X., Qie, X., & Yuan, T. (2013). Regional distribution and diurnal variation of deep convective systems over the Asian monsoon region. Science China Earth Sciences, 56, 843–854.
Wu, X., Qie, X., Yuan, T., & Li, J. (2016). Meteorological regimes of the most intense convective systems along the southern Himalayan front. Journal of Climate, 29(12), 4383–4398.
Wu, X., Yuan, T., Qie, K., & Luo, J. (2020). Geographical distribution of extreme deep and intense convective storms on Earth. Atmospheric Research, 235, 104789.
Xu, W., & Zipser, E. J. (2012). Properties of deep convection in tropical continental, monsoon, and oceanic rainfall regimes. Geophysical Research Letters, 39, L07802.
Yuan, T., & Qie, X. (2008). Study on lightning activity and precipitation characteristics before and after the onset of the South China sea summer monsoon. Journal of Geophysical Research, 113, D14101.
Yuter, S. E., & Houze, R. A., Jr. (1995). Three-dimensional kinematic and microphysical evolution of Florida cumulonimbus: Part II. Frequency distribution of vertical velocity, reflectivity, and the differential reflectivity. Monthly Weather Review, 123, 1941–1963.
Zipser, E. J. (2003). Some views on “hot towers” after 50 years of tropical field programs and two years of TRMM data. In: W. K. Tao, & R. Adler (Eds.), Cloud systems, hurricanes, and the tropical rainfall measuring mission (TRMM). Meteorological Monographs (Vol. 51, pp. 49–58). Boston, MA: American Meteorological Society.
Zipser, E. J., Cecil, D. J., Liu, C., Nesbitt, S. W., & Yorty, D. P. (2006). Where are the most intense thunderstorms on earth? Bulletin of the American Meteorological Society, 87, 1057–1071.
Zipser, E. J., & Lutz, K. R. (1994). The vertical profile of radar reflectivity of convective cells: A strong indicator of storm intensity and lightning probability? Monthly Weather Review, 122, 1751–1759.
Acknowledgements
GPM Data (GES DISC DATASET: GPM DPR KU PRECIPITATION PROFILE 2A 1.5 HOURS 5 KM V07 (GPM_2AKU 07) (NASA.GOV)) and 3B42 (http://mirador.gsfc.nasa.gov/cgi-bin/ mirador/presentNavigation.pl?tree=project&dataset= 3B42:%203-Hour%200.25%20x%200.25%20degree% 20merged%20TRMM%20and%20other%20satellite% 20estimates&project=TRMM&dataGroup=Gridded& version=007) data are taken from NASA’s Earth–Sun System Division website. The authors thank the anonymous reviewers for their constructive suggestions. TMI data were produced by Remote Sensing Systems, Inc., and were sponsored by the NASA Earth Sciences Division.
Funding
No funding was received.
Author information
Authors and Affiliations
Contributions
SK helped in conceptualization, validation, methodology, data analysis, radar data concept, algorithm development and wrote the original draft; JLF was involved in data collection and edited the original draft; DM helped in concept and edited the manuscript; ASM edited the manuscript; YSV edited the manuscript. All authors have read and agreed to the published version of the manuscript.
Corresponding author
Ethics declarations
Conflict of interest
The authors declared that they have no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Kumar, S., Flores‑Rojas, J.L., Moya-Álvarez, A.S. et al. Hydrometeors Distribution in Intense Precipitating Cloud Cells Over the Earth’s During Two Rainfall Seasons. J Indian Soc Remote Sens 52, 95–111 (2024). https://doi.org/10.1007/s12524-023-01805-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12524-023-01805-x