A 3-decade advancements in prediction of tropical cyclones and other severe weather over India: A recap

Authors

  • U. C. Mohanty Centre for Climate Smart Agriculture, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha
  • Raghu Nadimpalli India Meteorological Department, MoES, New Delhi
  • Krishna K. Osuri Dept. of Earth and Atmospheric Sciences, NIT Rourkela, Odisha
  • Palash Sinha Centre for Development of Advanced Computing, Pune
  • H.P. Nayak School of Earth Ocean and Climate Sciences, IIT Bhubaneswar
  • Ashish Routray National Centre for Medium Range Weather Forecast, MoES, Noida
  • Sujata Pattanayak National Centre for Medium Range Weather Forecast, MoES, Noida
  • Karrevula N. R. School of Earth Ocean and Climate Sciences, IIT Bhubaneswar
  • Shyama Mohanty Department of Earth and Planetary Sciences, Jackson School of Geosciences, University of Texas at Austin, USA
  • Madhusmita Swain School of Earth Ocean and Climate Sciences, IIT Bhubaneswar
  • A. Boyaj School of Earth Ocean and Climate Sciences, IIT Bhubaneswar
  • S. Kiran Prasad National Centre for Medium Range Weather Forecast, MoES, Noida
  • A. K. Das India Meteorological Department, MoES, New Delhi
  • Sudheer Joseph Indian National Centre for Oceanic Information System, MoES, Hyderabad
  • M. Khare Centre for Development of Advanced Computing, Pune
  • Gopalakrishnan S. G. AOML, National Oceanic and Atmospheric Administration, Miami, FL, USA
  • Niyogi D. Department of Earth and Planetary Sciences, Jackson School of Geosciences, University of Texas at Austin, USA
  • Mohapatra M. India Meteorological Department, MoES, New Delhi

DOI:

https://doi.org/10.54302/mausam.v76i4.7271

Keywords:

Weather forecasting, Machine learning, Deep learning, Neural networks, Polar weather data, Data science

Abstract

India has been witnessing frequent and deadly extreme weather events in recent years. These events are becoming increasingly complex due to the compound effects of climate change, urbanization, and land-use land-cover changes, making their accurate prediction a major challenge for both research and operational communities. Numerical Weather Prediction (NWP) has been a vital tool in providing the early warnings, thereby helping to reduce the damage to properties, minimize adverse impact on human life, and limits the country’s economic losses. This review summarizes progress in NWP research over the past three decades, with a focus on improving forecasts of weather extremes (tropical cyclones and associated storm surge, thunderstorms, heatwaves, and urban rainfall) affecting India. These advancements have been made possible through continuous R&D efforts and the support of India Meteorological Department (IMD) in increasing the observational network, severe weather monitoring, and providing timely assistance to the research community in advancing NWP capabilities and reached satisfactory prediction skills that enhanced the reliability in the decision support systems.

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Published

01-10-2025

How to Cite

[1]
U. C. . Mohanty, “A 3-decade advancements in prediction of tropical cyclones and other severe weather over India: A recap”, MAUSAM, vol. 76, no. 4, pp. 1013–1034, Oct. 2025.

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