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Assimilation of Indian Doppler Weather Radar observations for simulation of mesoscale features of a land-falling cyclone

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Abstract

In this paper, impact of Indian Doppler Weather Radar (DWR) data, i.e., reflectivity (Z), radial velocity (Vr) data individually and in combination has been examined for simulation of mesoscale features of a land-falling cyclone with Advance Regional Prediction System (ARPS) Model at 9-km horizontal resolution. The radial velocity and reflectivity observations from DWR station, Chennai (lat. 13.0°N and long. 80.0°E), are assimilated using the ARPS Data Assimilation System (ADAS) and cloud analysis scheme of the model. The case selected for this study is the Bay of Bengal tropical cyclone NISHA of 27–28 November 2008. The study shows that the ARPS model with the assimilation of radial wind and reflectivity observations of DWR, Chennai, could simulate mesoscale characteristics, such as number of cells, spiral rain band structure, location of the center and strengthening of the lower tropospheric winds associated with the land-falling cyclone NISHA. The evolution of 850 hPa wind field super-imposed vorticity reveals that the forecast is improved in terms of the magnitude and direction of lower tropospheric wind, time, and location of cyclone in the experiment when both radial wind and reflectivity observations are used. With the assimilation of both radial wind and reflectivity observations, model could reproduce the rainfall pattern in a more realistic way. The results of this study are found to be very promising toward improving the short-range mesoscale forecasts.

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Acknowledgments

The authors are grateful to the Director General of Meteorology for encouragement and keen interest in this work. Authors also thankfully acknowledge the support of Radar unit at the H/Q and DWR, Chennai, for making the data available for this work. Authors like to thank Dr. Yunheng Wang of the University of Oklahoma for the technical support. Authors duly acknowledge the use of the NWP system (ARPS) of the University of Oklahoma, USA, in this study. Authors are also thankful to anonymous reviewers to improve the presentation of the paper.

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Authors and Affiliations

  1. India Meteorological Department, Lodi Road, New Delhi, 110003, India

    Kuldeep Srivastava & S. K. Roy Bhowmik

  2. Guru Gobind Singh Indraprastha University, Kashmere Gate, Delhi, 110403, India

    Rashmi Bhardwaj

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  1. Kuldeep Srivastava
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  2. Rashmi Bhardwaj
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  3. S. K. Roy Bhowmik
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Correspondence to Kuldeep Srivastava.

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Srivastava, K., Bhardwaj, R. & Roy Bhowmik, S.K. Assimilation of Indian Doppler Weather Radar observations for simulation of mesoscale features of a land-falling cyclone. Nat Hazards 59, 1339–1355 (2011). https://doi.org/10.1007/s11069-011-9835-3

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