India Boosts AI in Weather Forecasts as Floods, Droughts Increase (reuters.com) 3
India is testing AI to build climate models to improve weather forecasting as torrential rains, floods and droughts proliferate across the vast country, a top weather official said. From a report: Global warming has triggered more intense clashes of weather systems in India in recent years, increasing extreme weather events, which the independent Centre for Science and Environment estimates have killed nearly 3,000 people this year. Weather agencies around the world are focussing on AI, which can bring down cost and improve speed, and which Britain's Met Office says could "revolutionise" weather forecasting, with a recent Google-funded model found to have outperformed conventional methods.
Accurate weather forecasting is particularly crucial in India, a country of 1.4 billion people, many impoverished, and the world's second-largest producer of rice, wheat and sugar. The India Meteorological Department (IMD) provides forecasts based on mathematical models using supercomputers. Using AI with an expanded observation network could help generate higher-quality forecast data at lower cost. The department expects the AI-based climate models and advisories it is developing to help improve forecasts, K.S. Hosalikar, head of climate research and services at IMD, told Reuters.
Accurate weather forecasting is particularly crucial in India, a country of 1.4 billion people, many impoverished, and the world's second-largest producer of rice, wheat and sugar. The India Meteorological Department (IMD) provides forecasts based on mathematical models using supercomputers. Using AI with an expanded observation network could help generate higher-quality forecast data at lower cost. The department expects the AI-based climate models and advisories it is developing to help improve forecasts, K.S. Hosalikar, head of climate research and services at IMD, told Reuters.
What? (Score:1)
No indians left to shake the abacus? Whence came Bose and Raman, then?
what's the difference? (Score:2)
What's the difference between an AI forecasting model and a statistical model? The only difference I can think of is that with the AI model, you have no clue how it made the prediction. Possibly with an AI model, you can more efficiently train on a larger data set?
For a clearer picture of their fate? (Score:2)
FTA: "build climate models to improve weather forecasting".
I'm not sure what the goals would be here, other than to say: yes, other other models are correct.
I was hoping they were using AI to identify areas that are at risk due to climate change, but they don't need AI for that. It's not difficult to predict annual flooding (oh look, it's getting worse every year!).
It's like adjusting the time the meteor is going to hit by a couple of seconds, but it's still going to hit...