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Impact of the Assimilation of INSAT-3D Sounder Retrieved Temperature and Humidity Profiles on Extreme Rainfall Event Forecast

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Abstract

In the present study, the impact of the assimilation of the Indian National Satellite (INSAT-3D) retrieved temperature and humidity profiles are evaluated during a heavy rainfall event. The Weather Research and Forecasting (WRF) and its three-dimensional variational (3D-Var) data assimilation system are used in this study. The extreme rainfall event which occurred during June 12th, 2017, to June 15th, 2017, over Bangladesh and adjoining region is taken as the case study. The analysis obtained after assimilation is compared with the European Centre for Medium-Range Weather Forecasts (ECMWF) re-analysis. Results shows quite good improvement in temperature and humidity profiles when compared with ECMWF re-analysis. The model predicted 72 h rainfall forecast is also found to improve on the assimilation of INSAT-3D retrieved temperature and humidity profiles. From the present study, it is observed that INSAT-3D data have large impact on the humidity profiles after assimilation.

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Acknowledgements

First author is thankful to the Director, Space Applications Centre for providing him an opportunity to participate in the Satellite Meteorology and Oceanography Research and Training (SMART) programme of MOSDAC; Dr. V. Sathiyamoorthy and Dr. Satya Prakash Ojha for their kind help and support. He is also grateful to SVNIT for financial support in the form of SRF-ship. The authors are grateful to the anonymous referees for their valuable comments and suggestions, which led to the improvement of the paper.

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  1. Applied Mathematics & Humanities Department, Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat, India

    Hiren Satishkumar Lekhadiya & Ranjan Kumar Jana

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  1. Hiren Satishkumar Lekhadiya
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Correspondence to Hiren Satishkumar Lekhadiya.

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Lekhadiya, H.S., Jana, R.K. Impact of the Assimilation of INSAT-3D Sounder Retrieved Temperature and Humidity Profiles on Extreme Rainfall Event Forecast. J Indian Soc Remote Sens 49, 1985–1995 (2021). https://doi.org/10.1007/s12524-021-01369-8

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