IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v114y2022i2d10.1007_s11069-022-05426-4.html
   My bibliography  Save this article

C-band polarimetric Doppler Weather Radar observations during an extreme precipitation event and associated dynamics over Peninsular India

Author

Listed:
  • Kandula V. Subrahmanyam

    (National Remote Sensing Centre (NRSC), ISRO
    Vikram Sarabhai Space Centre)

  • K. Kishore Kumar

    (Vikram Sarabhai Space Centre)

Abstract

Recently, the state of Kerala (India) experienced extreme rainfall events during August 2018. These heavy rains led to major flooding, which was one of the worst natural disasters experienced by the state in the last hundred years. The present study focuses on investigating the spatial and vertical structure of precipitating clouds and their microphysical properties during this extreme precipitation event using C-band polarimetric Doppler Weather Radar (DWR) observations over Thumba (8.5°N, 77°E), India. This is the first time that DWR polarimetric observations have been used for investigating an extreme weather event in India. The DWR observations were carried out during several episodes of extreme rainfall (i.e. 12th to 17th August 2018), and the time evolution of the radar reflectivity structure is examined very closely to understand the structure and dynamics of this unprecedented event. Apart from the DWR observations, prevailing dynamics such as tropical easterly jet (TEJ), low-level jet (LLJ) along with vertical velocity are also investigated, which showed distant signatures leading to the extreme event. It is observed that the low-level convergence during the event played a key role in the development of persistent convection. The weakening of TEJ at the upper troposphere resulted in the decrease of vertical wind shear, which is a favourable condition for the vertical growth of convective clouds. The significance of the present study lies in delineating the structure and dynamics of the extreme precipitation event using C-band polarimetric DWR observations and discussing the potential candidates in triggering the event.

Suggested Citation

  • Kandula V. Subrahmanyam & K. Kishore Kumar, 2022. "C-band polarimetric Doppler Weather Radar observations during an extreme precipitation event and associated dynamics over Peninsular India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(2), pages 1307-1322, November.
    • Handle: RePEc:spr:nathaz:v:114:y:2022:i:2:d:10.1007_s11069-022-05426-4
    DOI: 10.1007/s11069-022-05426-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-022-05426-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-022-05426-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. S. Pfahl & P. A. O’Gorman & E. M. Fischer, 2017. "Understanding the regional pattern of projected future changes in extreme precipitation," Nature Climate Change, Nature, vol. 7(6), pages 423-427, June.
    2. K. V. Subrahmanyam & Sruthy Rose Baby, 2020. "C-band Doppler weather radar observations during the passage of tropical cyclone ‘Ockhi’," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(3), pages 2197-2211, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yuanfang Chai & Yao Yue & Louise J. Slater & Jiabo Yin & Alistair G. L. Borthwick & Tiexi Chen & Guojie Wang, 2022. "Constrained CMIP6 projections indicate less warming and a slower increase in water availability across Asia," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    2. David J. Frame & Suzanne M. Rosier & Ilan Noy & Luke J. Harrington & Trevor Carey-Smith & Sarah N. Sparrow & Dáithí A. Stone & Samuel M. Dean, 2020. "Climate change attribution and the economic costs of extreme weather events: a study on damages from extreme rainfall and drought," Climatic Change, Springer, vol. 162(2), pages 781-797, September.
    3. Zigeng Niu & Lan Feng & Xinxin Chen & Xiuping Yi, 2021. "Evaluation and Future Projection of Extreme Climate Events in the Yellow River Basin and Yangtze River Basin in China Using Ensembled CMIP5 Models Data," IJERPH, MDPI, vol. 18(11), pages 1-26, June.
    4. Omid Alizadeh & Morteza Babaei, 2022. "Seasonally dependent precipitation changes and their driving mechanisms in Southwest Asia," Climatic Change, Springer, vol. 171(3), pages 1-16, April.
    5. Kui Xu & Chenyue Wang & Lingling Bin, 2023. "Compound flood models in coastal areas: a review of methods and uncertainty analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(1), pages 469-496, March.
    6. Kai Liu & Qianzhi Wang & Ming Wang & Elco E. Koks, 2023. "Global transportation infrastructure exposure to the change of precipitation in a warmer world," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    7. Melissa Rosa & Kyle Haines & Teddy Cruz & Fonna Forman, 2023. "A binational social vulnerability index (BSVI) for the San Diego-Tijuana region: mapping trans-boundary exposure to climate change for just and equitable adaptation planning," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 28(2), pages 1-23, February.
    8. Daokai Xue & Jian Lu & L. Ruby Leung & Haiyan Teng & Fengfei Song & Tianjun Zhou & Yaocun Zhang, 2023. "Robust projection of East Asian summer monsoon rainfall based on dynamical modes of variability," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    9. Sumit Das & Gianvito Scaringi, 2021. "River flooding in a changing climate: rainfall-discharge trends, controlling factors, and susceptibility mapping for the Mahi catchment, Western India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(3), pages 2439-2459, December.
    10. Othman, Abdullah & El-Saoud, Waleed A. & Habeebullah, Turki & Shaaban, Fathy & Abotalib, Abotalib Z., 2023. "Risk assessment of flash flood and soil erosion impacts on electrical infrastructures in overcrowded mountainous urban areas under climate change," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    11. Wenxia Zhang & Kalli Furtado & Tianjun Zhou & Peili Wu & Xiaolong Chen, 2022. "Constraining extreme precipitation projections using past precipitation variability," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    12. Bevacqua, Emanuele & Maraun, Douglas & Vousdoukas, Michalis I. & Voukouvalas, Evangelos & Vrac, Mathieu & Mentaschi, Lorenzo & Widmann, Martin, 2018. "Higher potential compound flood risk in Northern Europe under anthropogenic climate change," Earth Arxiv ta764, Center for Open Science.
    13. Lei Gu & Jiabo Yin & Pierre Gentine & Hui-Min Wang & Louise J. Slater & Sylvia C. Sullivan & Jie Chen & Jakob Zscheischler & Shenglian Guo, 2023. "Large anomalies in future extreme precipitation sensitivity driven by atmospheric dynamics," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    14. Elizabeth J. Kendon & Erich M. Fischer & Chris J. Short, 2023. "Variability conceals emerging trend in 100yr projections of UK local hourly rainfall extremes," Nature Communications, Nature, vol. 14(1), pages 1-14, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:114:y:2022:i:2:d:10.1007_s11069-022-05426-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.