GenCast Model

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About GenCast Model:

It is anew machine-learning weather prediction model.
It uses a diffusion model approach similar to artificial intelligence (AI) image generators.
The system generates multiple forecasts to capture the complex behaviour of the atmosphere. It does so with a fraction of the time and computing resources required for traditional approaches.
It is part of Google’s growing suite of next-generation AI-based weather models.
It can predict the weather for 15 days in just 8 minutes. The old way of predicting weather usually takes hours.
Working
- The AI-powered program was trained on four decades of historical data through 2018, taken from the European Centre for Medium-Range Weather Forecasts’ (ECMWF) historical archives.
- The GenCast model makes predictions of several variables such as temperature, pressure, humidity and wind speed at the surface and at 13 different heights, on a grid that divides the world up into 0.25-degree regions of latitude and longitude.
Significance: Itoutperforms the current leading system, uses probabilistic ensemble forecasting to predict a range of possible weather scenarios, offering a more comprehensive picture of the upcoming conditions.

Q1: What is Machine learning?

It is an essential branch of artificial intelligence that employs data and algorithms to mimic human learning processes, gradually enhancing its accuracy. It is a cornerstone of the emerging field of data science. It involves training algorithms to find patterns in data, which enables them to make predictions or perform tasks without being explicitly programmed.

News: New AI model ‘GenCast’ can beat the best traditional weather forecasts