IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v114y2022i1d10.1007_s11069-022-05399-4.html
   My bibliography  Save this article

Impact of the moisture and land surface processes on the sustenance of the cyclonic storm Yemyin over land using the WRF-ARW model

Author

Listed:
  • Nanaji Rao Nellipudi

    (National Atmospheric Research Laboratory)

  • S. S. V. S. Ramakrishna

    (Andhra University)

  • Srinivasa Rao Podeti

    (Andhra University)

  • B. Ravi Srinivasa Rao

    (Andhra University)

  • V. Yesubabu

    (National Atmospheric Research Laboratory)

  • V. Brahmananda Rao

    (Centro de Previsão de Tempo e Estudos Climáticos, CPTEC, National Institute for Space Research (INPE))

Abstract

In this study, an attempt is made to analyze the sensitivity of land surface process and the associated moisture budget characteristics of the cyclonic storm Yemyin (2007), which originated over the Bay of Bengal, crossed the entire Indian subcontinent, entered into the Arabian Sea and made a 2nd landfall at the Pakistan Coast. Sensitivity of land surface processes is carried using the WRF-ARW model with a focus on the sustainability and re-intensification of the system over land along with the available observations. Our results suggest that the transport of moisture and soil moisture played a major role in the maintenance and re-intensification of the system over land. Transport of the strong moisture by the monsoon currents from the Arabian Sea to land furnished the energy required for the system. The transport of the vertically integrated moisture helped to increase the moisture convergence over the Indian landmass which gave the energy to sustain the system on land. An early period of rainfall before reaching the system helped to increase the soil moisture which releases the latent heat over land. Evaporation over land played an important role in amplifying the mid-tropospheric moisture, which contributed to the precipitation along with moisture flux convergence. The Noah and RUC land surface physics produced the least errors in the movement of the system while the RUC scheme gives significant results for intensification. The soil moisture zero experiment failed to provide the good results for movement and intensity of the system compared to other experiments. The soil moisture zero experiment did not yield give good results due to lack of sufficient soil moisture.

Suggested Citation

  • Nanaji Rao Nellipudi & S. S. V. S. Ramakrishna & Srinivasa Rao Podeti & B. Ravi Srinivasa Rao & V. Yesubabu & V. Brahmananda Rao, 2022. "Impact of the moisture and land surface processes on the sustenance of the cyclonic storm Yemyin over land using the WRF-ARW model," 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(1), pages 495-519, October.
  • Handle: RePEc:spr:nathaz:v:114:y:2022:i:1:d:10.1007_s11069-022-05399-4
    DOI: 10.1007/s11069-022-05399-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-022-05399-4
    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/s11069-022-05399-4?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. Krishna Osuri & U. Mohanty & A. Routray & Makarand Kulkarni & M. Mohapatra, 2012. "Customization of WRF-ARW model with physical parameterization schemes for the simulation of tropical cyclones over North Indian Ocean," 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. 63(3), pages 1337-1359, September.
    2. M. Mohapatra & G. Mandal & B. Bandyopadhyay & Ajit Tyagi & U. Mohanty, 2012. "Classification of cyclone hazard prone districts 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. 63(3), pages 1601-1620, September.
    3. Greeshma Mohan & C. Srinivas & C. Naidu & R. Baskaran & B. Venkatraman, 2015. "Real-time numerical simulation of tropical cyclone Nilam with WRF: experiments with different initial conditions, 3D-Var and Ocean Mixed Layer Model," 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(2), pages 597-624, June.
    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. Pritam Ghosh & Asraful Alam & Nilanjana Ghosal & Debodatta Saha, 2021. "A Geospatial Analysis of Temporary Housing Inequality among Socially Marginalized and Privileged Groups in India," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(3), pages 798-819, June.
    2. A. D. Rao & Puja Upadhaya & Smita Pandey & Jismy Poulose, 2020. "Simulation of extreme water levels in response to tropical cyclones along the Indian coast: a climate change perspective," 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. 100(1), pages 151-172, January.
    3. S. Fadnavis & Medha Deshpande & Sachin Ghude & P. Ernest Raj, 2014. "Simulation of severe thunder storm event: a case study over Pune, 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. 72(2), pages 927-943, June.
    4. Nasreen Akter, 2022. "Tropical cyclogenesis associated with premonsoon climatological dryline over the Bay of Bengal," 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. 112(3), pages 2625-2647, July.
    5. Indrajit Ghosh & Sukhen Das & Nabajit Chakravarty, 2022. "Anomaly temperature in the genesis of tropical cyclone," 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 1477-1503, November.
    6. Usha Das & Souvik Ghosh, 2020. "Factors driving farmers’ knowledge on climate change in a climatically vulnerable state 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. 102(3), pages 1419-1434, July.
    7. Raghu Nadimpalli & Krishna K. Osuri & Sujata Pattanayak & U. C. Mohanty & M. M. Nageswararao & S. Kiran Prasad, 2016. "Real-time prediction of movement, intensity and storm surge of very severe cyclonic storm Hudhud over Bay of Bengal using high-resolution dynamical model," 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. 81(3), pages 1771-1795, April.
    8. Yashvant Das, 2018. "Parametric modeling of tropical cyclone wind fields 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. 93(2), pages 1049-1084, September.
    9. Minhyeop Kang & Kyungnam Ko & Minyeong Kim, 2020. "Verification of the Reliability of Offshore Wind Resource Prediction Using an Atmosphere–Ocean Coupled Model," Energies, MDPI, vol. 13(1), pages 1-15, January.
    10. Chandra Bahinipati & Unmesh Patnaik, 2015. "The damages from climatic extremes in India: do disaster-specific and generic adaptation measures matter?," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 17(1), pages 157-177, January.
    11. Saudamini Das, 2019. "Evaluating climate change adaptation through evacuation decisions: a case study of cyclone management in India," Climatic Change, Springer, vol. 152(2), pages 291-305, January.
    12. Marianna Rodrigues Gullo Cavalcante & Priscila Luz Barcellos & Marcio Cataldi, 2020. "Flash flood in the mountainous region of Rio de Janeiro state (Brazil) in 2011: part I—calibration watershed through hydrological SMAP model," 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. 102(3), pages 1117-1134, July.
    13. Unmesh Patnaik & Prasun Kumar Das & Chandra Sekhar Bahinipati, 2016. "Coping with Climatic Shocks: Empirical Evidence from Rural Coastal Odisha, India," Global Business Review, International Management Institute, vol. 17(1), pages 161-175, February.
    14. Nafiseh Pegahfar & Maryam Gharaylou & Mohammad Hossein Shoushtari, 2022. "Assessing the performance of the WRF model cumulus parameterization schemes for the simulation of five heavy rainfall events over the Pol-Dokhtar, Iran during 1999–2019," 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. 112(1), pages 253-279, May.
    15. Tanvir Islam & Prashant Srivastava & Miguel Rico-Ramirez & Qiang Dai & Manika Gupta & Sudhir Singh, 2015. "Tracking a tropical cyclone through WRF–ARW simulation and sensitivity of model physics," 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. 76(3), pages 1473-1495, April.
    16. A. D. Rao & Puja Upadhaya & Hyder Ali & Smita Pandey & Vidya Warrier, 2020. "Coastal inundation due to tropical cyclones along the east coast of India: an influence of climate change impact," 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 39-57, March.
    17. Raja Boragapu & Pulak Guhathakurta & O. P. Sreejith, 2023. "Tropical cyclone vulnerability assessment for 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(3), pages 3123-3143, July.
    18. R. Chandrasekar & C. Balaji, 2016. "Impact of physics parameterization and 3DVAR data assimilation on prediction of tropical cyclones in the Bay of Bengal region," 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. 80(1), pages 223-247, January.

    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:1:d:10.1007_s11069-022-05399-4. 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.