IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v111y2022i1d10.1007_s11069-021-05042-8.html
   My bibliography  Save this article

Establishment of lightning detection sensors network in India: generation of essential climate variable and characterization of cloud-to-ground lightning occurrences

Author

Listed:
  • Alok Taori

    (National Remote Sensing Centre)

  • Arun Suryavanshi

    (National Remote Sensing Centre)

  • Sunil Pawar

    (Indian Institute of Tropical Meteorology)

  • M. V. R. Seshasai

    (National Remote Sensing Centre)

Abstract

A network of 25 lightning detection sensors (LDS) has been established by the National Remote Sensing Centre (NRSC), the Indian Space Research Organization (ISRO). At present, sensors are located in the northeast, east coastal, central, and southern locations of India under this network. Geolocation of the lightning occurrences is estimated using the time of arrival algorithm. These observations are compared well with the Indian Institute of Tropical Meteorology (IITM) sensor network data. The NRSC-LDS data have been used to derive essential climate variables (ECVs) and to understand cloud occurrences to ground lightning from July 2019 to November 2020. We note that December–January reported the least number of cloud-to-ground (CG) flash occurrences (flash density ~ 0.003 km−2 day−1), while August–September were the months with the most number of CG flash occurrences (flash density ~ 0.33 km−2 day−1). We also note that during the period under the scrutiny, Chhattisgarh, Jharkhand, Odisha, Maharashtra, and Madhya Pradesh states recorded the most number of CG lightning flash occurrences.

Suggested Citation

  • Alok Taori & Arun Suryavanshi & Sunil Pawar & M. V. R. Seshasai, 2022. "Establishment of lightning detection sensors network in India: generation of essential climate variable and characterization of cloud-to-ground lightning occurrences," 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. 111(1), pages 19-32, March.
    • Handle: RePEc:spr:nathaz:v:111:y:2022:i:1:d:10.1007_s11069-021-05042-8
    DOI: 10.1007/s11069-021-05042-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-021-05042-8
    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/s11069-021-05042-8?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. Pramod Kumar Yadava & Manish Soni & Sunita Verma & Harshbardhan Kumar & Ajay Sharma & Swagata Payra, 2020. "The major lightning regions and associated casualties over 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. 101(1), pages 217-229, March.
    2. M. Tinmaker & M. Aslam & D. Chate, 2015. "Lightning activity and its association with rainfall and convective available potential energy over Maharashtra, 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. 77(1), pages 293-304, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alok Taori & Arun Suryavanshi & Rajashree V. Bothale, 2023. "Cloud-to-ground lightning occurrences over India: seasonal and diurnal characteristics deduced with ground-based lightning detection sensor network (LDSN)," 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(3), pages 4037-4049, April.

    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. Richard S. J. Tol, 2022. "State capacity and vulnerability to natural disasters," Chapters, in: Mark Skidmore (ed.), Handbook on the Economics of Disasters, chapter 20, pages 434-457, Edward Elgar Publishing.
    2. Soma Sen Roy & Shouraseni Sen Roy, 2021. "Spatial patterns of long-term trends in thunderstorms in 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. 107(2), pages 1527-1540, June.
    3. T. M. Giannaros & K. Lagouvardos & V. Kotroni, 2017. "Performance evaluation of an operational lightning forecasting system in Europe," 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. 85(1), pages 1-18, January.
    4. P. Ramesh Kumar & S. S. V. S. Ramakrishna & Alok Sagar Gautam & Tomomi Narita, 2023. "Lightning activity over Telangana and Andhra Pradesh states situated in the east coast of 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. 117(1), pages 71-92, May.

    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:111:y:2022:i:1:d:10.1007_s11069-021-05042-8. 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.