The History of Mesoscale Severe Weather Monitoring and Forecasting in India
Improving the prediction of weather events is always an important research area and challenging task to the meteorologists since it poses a major impact on human life, properties and countries economy. The operational and research centers around the globe have been working to better understand the multiscale interactions involved to advance severe weather including Tropical Cyclones and thunderstorm predictions. The present review article focuses on research activities with a specific emphasis on Numerical Weather Prediction (NWP) methods that led to improvements in severe weather prediction over India during the last three decades. This work also highlights the continuous efforts of India Meteorological Department (IMD) in increasing the observational network and severe weather monitoring. The evolution of NWP models and associated advancements in genesis, movement and precipitation forecasts of extreme events by these models are discussed.
Authors
- Raghu Nadimpalli (ORCID: https://orcid.org/0000-0001-7769-3165)
- Ananda Kr. Das
- Akhil Srivastava (ORCID: https://orcid.org/0000-0002-6862-531X)
- Sundararaman Gopalakrishnan (ORCID: https://orcid.org/0000-0002-7560-0655)
- M. Mohapatra (ORCID: https://orcid.org/0000-0002-8009-198X)
- D. R. Pattanaik (ORCID: https://orcid.org/0000-0002-0251-4959)
- Krishna K. Osuri (ORCID: https://orcid.org/0000-0001-9088-9656)
- Sudheer Joseph (ORCID: https://orcid.org/0000-0002-9163-3027)
- Dev Niyogi (ORCID: https://orcid.org/0000-0002-1848-5080)
- Ashish Routray (ORCID: https://orcid.org/0000-0002-9673-6981)
- U. C. Mohanty (ORCID: https://orcid.org/0000-0002-4725-5786)
- P. L. N. Murty
Institutions
- National Oceanic and Atmospheric Administration (US)
- National Centre for Medium Range Weather Forecasting (IN)
- Indian National Centre for Ocean Information Services (IN)
- National Institute of Technology Rourkela (IN)
- India Meteorological Department (IN)
- The University of Texas at Austin (US)
Publication Details
- Journal
- MAUSAM
- Published
- 2025-01-16
- DOI
- https://doi.org/10.54302/mausam.v76i1.6479
- Citations
- 4
- Primary Topic
- Meteorological Phenomena and Simulations
- Type
- article
- Field-Weighted Citation Impact
- 5.20
Funders
- Ministry of Earth Sciences
- Indian Institute of Technology Madras