AI-Driven Weather Forecasting
Why in News?
- AI-Driven Weather Forecasting, The use of Artificial Intelligence (AI) in weather forecasting has recently been highlighted as the India Meteorological Department (IMD) collaborates with global and national AI-based systems to enhance the accuracy of weather predictions. This comes in the backdrop of increasing climate-related disasters and the growing need for real-time, high-precision forecasts.
Important Key Points:
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AI in Weather Forecasting:
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AI leverages machine learning algorithms and big data to analyze vast volumes of meteorological data for more accurate predictions.
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It offers the ability to generate short-term and long-term forecasts with improved speed and efficiency.
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Global Developments:
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Leading tech firms and research institutions like Google DeepMind and NVIDIA are developing AI models such as GraphCast and FourCastNet for precise climate forecasting.
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These models are increasingly being used by meteorological agencies worldwide, including IMD.
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India’s Adoption:
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The IMD has started integrating AI tools to improve forecasts of cyclones, monsoons, rainfall patterns, and extreme weather events.
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AI helps in enhancing the early warning system, which is crucial for disaster preparedness and mitigation.
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Advantages of AI-based Forecasting:
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Faster and more computationally efficient than traditional numerical models.
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Can analyze non-linear patterns in climate data which human models may miss.
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Cost-effective and scalable for local and regional forecasts.
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Challenges:
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Requires high-quality historical data for training models.
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Risk of algorithmic bias and errors if not properly monitored.
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Need for skilled personnel in AI and meteorology to interpret and validate predictions.
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