The Indian Meteorological Department intends to run artificial intelligence models to improve prediction, especially for extreme weather conditions such as droughts and floods.
A local weather official claimed the government of India is experimenting with artificial intelligence (AI) in developing climate models to predict extreme weather conditions. According to a news agency, K.S. Hosalikar, the Indian Meteorological Department’s (IMD’s) head of climate research and services, claimed he anticipates artificial intelligence-founded climate models and advisories to enhance forecasting, especially for extreme conditions such as droughts and floods.
AI Inclusion to Complement Forecasting Strategies for Better Quality
At present, the Indian Meteorological Department utilizes forecasting strategies from supercomputers and mathematical models. It claimed the technology’s inclusion could result in the generation of greater-quality and less costly weather information.
Hosalikar claimed that artificial intelligence is already being implemented to aid in the creation of public alerts for disease outbreaks, for instance, malaria and severe weather such as heatwaves. Further, he revealed that the Indian Meteorological Department intends to boost the number of weather observatories to a village level with the objective of greater-resolution prediction data.
Already, the government has created a center to experiment with the idea of including artificial intelligence in traditional weather prediction. Additionally, it is planning for conferences and workshops. Precise weather forecasting in a nation with different weather trends, such as India, is essential.
This is because heatwaves, worsening droughts, and extreme flooding will significantly impact its 1.4 billion natives. Further, the nation plays a significant role in the globe’s agricultural production. Currently, it is the second-biggest wheat, rice, and sugar producer.
Google DeepMind Climate Action Prioritize AI Usage in Addressing Adverse Changes
During the most recent Wired Impact Conference in London, Sims Witherspoon, Google’s DeepMind climate action lead, recommended a new tactic, which she referred to as the ‘Understand, Optimize, Accelerate’ model. It explains the steps to utilize artificial intelligence to address climate change.
Currently, the weather prediction scene has been using upcoming technologies such as crypto and blockchain to optimize weather data aggregation. Already, WeatherX has deployed numerous decentralized weather stations globally to acquire local data and later offer utility tokens to station owners.
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