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Impact of Doppler weather radar data on thunderstorm simulation during STORM pilot phase—2009

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  • S. Kiran Prasad
  • U. Mohanty
  • A. Routray
  • Krishna Osuri
  • S. Ramakrishna
  • Dev Niyogi

Abstract

This study assesses the impact of Doppler weather radar (DWR) data (reflectivity and radial wind) assimilation on the simulation of severe thunderstorms (STS) events over the Indian monsoon region. Two different events that occurred during the Severe Thunderstorms Observations and Regional Modeling (STORM) pilot phase in 2009 were simulated. Numerical experiments—3DV (assimilation of DWR observations) and CNTL (without data assimilation)—were conducted using the three-dimensional variational data assimilation technique with the Advanced Research Weather Research and Forecasting model (WRF-ARW). The results show that consistent with prior studies the 3DV experiment, initialized by assimilation of DWR observations, performed better than the CNTL experiment over the Indian region. The enhanced performance was a result of improved representation and simulation of wind and moisture fields in the boundary layer at the initial time in the model. Assimilating DWR data caused higher moisture incursion and increased instability, which led to stronger convective activity in the simulations. Overall, the dynamic and thermodynamic features of the two thunderstorms were consistently better simulated after ingesting DWR data, as compared to the CNTL simulation. In the 3DV experiment, higher instability was observed in the analyses of thermodynamic indices and equivalent potential temperature (θ e ) fields. Maximum convergence during the mature stage was also noted, consistent with maximum vertical velocities in the assimilation experiment (3DV). In addition, simulated hydrometeor (water vapor mixing ratio, cloud water mixing ratio, and rain water mixing ratio) structures improved with the 3DV experiment, compared to that of CNTL. From the higher equitable threat scores, it is evident that the assimilation of DWR data enhanced the skill in rainfall prediction associated with the STS over the Indian monsoon region. These results add to the body of evidence now which provide consistent and notable improvements in the mesoscale model results over the Indian monsoon region after assimilating DWR fields. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • S. Kiran Prasad & U. Mohanty & A. Routray & Krishna Osuri & S. Ramakrishna & Dev Niyogi, 2014. "Impact of Doppler weather radar data on thunderstorm simulation during STORM pilot phase—2009," 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. 74(3), pages 1403-1427, December.
    • Handle: RePEc:spr:nathaz:v:74:y:2014:i:3:p:1403-1427
    DOI: 10.1007/s11069-014-1250-0
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    Citations

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    Cited by:

    1. Kumari Priya & Talukdar Sasanka & Krishna K. Osuri, 2023. "Land use land cover representation through supervised machine learning methods: sensitivity on simulation of urban thunderstorms 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. 116(1), pages 295-317, March.
    2. Kumari Priya & Raghu Nadimpalli & Krishna K. Osuri, 2021. "Do increasing horizontal resolution and downscaling approaches produce a skillful thunderstorm forecast?," 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(2), pages 1655-1674, November.
    3. Samarendra Karmakar & Dewan Abdul Quadir & Mohan Kumar Das, 2017. "Numerical simulation of physical and dynamical characteristics associated with the severe thunderstorm on April 5, 2015 at Kushtia and Jhenaidah," 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. 86(3), pages 1127-1146, April.
    4. Mohan Das & Md. Chowdhury & Someshwar Das & Sujit Debsarma & Samarendra Karmakar, 2015. "Assimilation of Doppler weather radar data and their impacts on the simulation of squall events during pre-monsoon season," 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 901-931, June.

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