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India is exploring AI technology to build advanced climate models, aiming to refine its weather forecasting system.

India is currently testing artificial intelligence (AI) for a vital purpose. They are building climate models to enhance weather forecasting. This move comes as the country faces increasing extreme weather events, like floods and droughts.

A top weather official highlighted the urgency. Global warming in India is causing more intense weather system clashes. This has led to a rise in extreme weather events. According to the Centre for Science and Environment, nearly 3,000 people have died this year due to these events.

Worldwide, weather agencies are turning to AI. AI offers cost and speed benefits. The UK's Met Office believes AI could "revolutionize" weather forecasting. A Google-funded model recently outperformed traditional methods. In India, accurate forecasting is critical. The country's population is 1.4 billion, with many living in poverty. India is also a major global producer of rice, wheat, and sugar.

The India Meteorological Department (IMD) currently uses supercomputers for forecasts. These are based on mathematical models. Integrating AI with an expanded observation network could provide better data at a lower cost.

IMD is developing AI-based climate models and advisories. K.S. Hosalikar, head of climate research at IMD, expects these to enhance forecasts.

The weather office has already utilized AI. It generated public alerts for heatwaves and diseases like malaria. Plans include increasing weather observatories for more detailed data. This could improve forecast resolution, according to Hosalikar.

The government announced plans to integrate AI with traditional forecasting models. A new center will test this approach through workshops and conferences.

Saurabh Rathore, from the Indian Institute of Technology-Delhi, emphasized AI's cost-effectiveness. "AI models are less costly than supercomputers and can run on quality desktops," he said.

Experts agree that better data is essential for AI's success. Parthasarathi Mukhopadhyay, a climate scientist, notes the need for high-resolution data. Without it, AI can't effectively enhance location-specific forecasts.

Samira is an Electronics and Communications Engineer by profession, but deep inside, her heart is a nomad! She's a state champion debater, a public speaker, a scriptwriter, a theater actress, but most importantly — A GREEN CITIZEN! She thinks of herself as a storyteller who thrives on enjoying the life at fullest and telling everyone the tales of life.

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