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 focusing on AI, which can
bring down cost and improve speed, and which Britain's Met
Office says could "revolutionize" 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.
The weather office has used AI to generate public alerts
regarding heatwaves and such diseases as malaria, Hosalikar
said. It plans to increase weather observatories, providing data
down to village level, potentially offering higher-resolution
data for forecasts, he said.
The government said on Thursday it wants to generate weather and
climate forecasts by incorporating AI into traditional models,
and has set up a centre to test the idea through workshops and
conferences.
"An AI model doesn't require the high cost involved in running a
supercomputer - you can even run it out of a good quality
desktop," said Saurabh Rathore, an assistant professor at Indian
Institute of Technology-Delhi.
Better data is also needed to make the most out of AI, experts
say.
"Without having high-resolution data in space and time, no AI
model for location-specific magnification of existing model
forecasts is feasible," said Parthasarathi Mukhopadhyay, a
climate scientist at the Indian Institute of Tropical
Meteorology.
(Reporting by Kanjyik Ghosh; Editing by Shivam Patel and William
Mallard)
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