Head of the India Meteorological Department’s (IMD) climate research and services, K.S. Hosalikar, stated in a Reuters story that he anticipates AI-based climate models and advisories to help enhance forecasting.
At the moment, supercomputers and mathematical models are used by the IMD to forecast. It claimed that using AI may produce weather data that is both more affordable and of greater quality.
According to Hosalikar, AI is already being used to assist in creating public alerts for severe weather, such as heat waves, and disease epidemics, such as malaria.
He added that to obtain higher-resolution forecasting data, the IMD intends to expand the number of weather observatories down to the village level. In addition to organizing conferences and seminars, the government has already established a center to explore the concept of integrating AI with conventional weather forecasting.
With India’s varied weather patterns, accurate weather forecasting is especially important because severe flooding, heat waves, and worsening droughts would impact the country’s 1.4 billion people more and more.
India is the world’s second-largest producer of rice, wheat, and sugar, and it contributes significantly to global agricultural production. Sims Witherspoon, the lead for climate action at DeepMind at Google, presented a new framework at the most recent Wired Impact Conference in London.
It is titled “Understand, Optimize, Accelerate” and it provides methods for using artificial intelligence (AI) to address climate change. The weather forecasting industry has already used emerging technologies like blockchain and cryptocurrency to maximize meteorological data gathering.
Hundreds of decentralized weather stations have already been set up globally by the company WeatherXM to gather local data and give station owners utility tokens in exchange.
