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Assimilation of Indian radar data with ADAS and 3DVAR techniques for simulation of a small-scale tropical cyclone using ARPS model

Author

Listed:
  • Kuldeep Srivastava
  • Jidong Gao
  • Keith Brewster
  • S. Roy Bhowmik
  • Ming Xue
  • Ranu Gadi

Abstract

The center for Analysis and Prediction of Storms (CAPS) has developed a radar data assimilation system. The system consists of several principal components: (1) a program that quality-controls and remaps (or super-ob) radar data to the analysis grid, (2) a Bratseth analysis method (ADAS), or a 3DVAR method for analyzing all the data except for clouds and precipitation, (3) a cloud and hydrometer analysis package that applies diabetic adjustments to the temperature field, and (4) a non-hydrostatic forecast model named ARPS. In this study, the system is applied to a small cyclone named OGNI, which formed over Bay of Bengal, India during the last week of October 2006. Three experiments are carried out to test the impact of the radar data from Chennai, India. These experiments include (1) using NCEP GFS data to initialize the ARPS model (2) using initial and boundary condition produced from the ADAS and the cloud analysis, (3) using initial and boundary condition produced from the 3DVAR and cloud analysis. The inter-comparison of results reveals that the experiment with the 3DVAR assimilation technique produces more realistic forecast to capture the genesis, structure, and northward movement of the cyclone in the short-range time scale. Copyright Springer Science+Business Media B.V. 2011

Suggested Citation

  • Kuldeep Srivastava & Jidong Gao & Keith Brewster & S. Roy Bhowmik & Ming Xue & Ranu Gadi, 2011. "Assimilation of Indian radar data with ADAS and 3DVAR techniques for simulation of a small-scale tropical cyclone using ARPS 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. 58(1), pages 15-29, July.
    • Handle: RePEc:spr:nathaz:v:58:y:2011:i:1:p:15-29
    DOI: 10.1007/s11069-010-9640-4
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    Citations

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    Cited by:

    1. Jagabandhu Panda & R. Giri, 2012. "A comprehensive study of surface and upper-air characteristics over two stations on the west coast of India during the occurrence of a cyclonic storm," 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. 64(2), pages 1055-1078, November.
    2. Kuldeep Srivastava & Rashmi Bhardwaj, 2014. "Real-time nowcast of a cloudburst and a thunderstorm event with assimilation of Doppler weather radar data," 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. 70(2), pages 1357-1383, January.
    3. 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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