Mission Mausam" to improve weather understanding and forecasting through expanded observation networks, better modelling and advanced tools like AI and machine learning. The mission will explore «weather management» technologies and include creating a laboratory to artificially develop clouds, increasing the number of radars by over 150 per cent and adding new satellites, supercomputers and much more.
Why is it needed? According to the Ministry of Earth Sciences, tropical weather forecasting remains challenging due to the complexity of atmospheric processes and limitations in current observation and model resolution.
Observational data is relatively sparse, both spatially and temporally, and the horizontal resolution of Numerical Weather Prediction (NWP) models, currently at 12 kilometres, makes it difficult to accurately forecast small-scale weather events in India, it said.
At the same time, climate change is making the atmosphere more chaotic, resulting in isolated heavy rainfall and localised droughts, which pose simultaneous challenges of flooding and drought. Cloudbursts, thunderstorms, lightning and squalls are among the least understood weather events in India.
Understanding these complex patterns requires in-depth knowledge of physical processes occurring within and outside clouds, on the surface, in the upper atmosphere, over oceans and in polar regions, the ministry said.
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