Atmospheric Variables
Core physical quantities describing the state of the atmosphere, essential for meteorology, climate science, and weather forecasting.
Key Variables
- Temperature: Measure of thermal energy in the air.
- Pressure: Force exerted by the weight of the air column.
- Humidity: Amount of water vapor present (e.g., specific humidity, relative humidity).
- Wind: Velocity vector (speed and direction) of air movement.
- Precipitation: Water falling from the atmosphere (rain, snow, etc.).
Computational Forecasting
Modern atmospheric modeling increasingly relies on machine learning and artificial-intelligence to solve complex fluid dynamics equations more efficiently than traditional Numerical Weather Prediction (NWP) models.
- DeepMind’s WeatherNext 3: A recent advancement in AI-driven forecasting, offering high-resolution global predictions.
- Focuses on accuracy, timeliness, and local granularity.
- Overcomes limitations of traditional models through deep learning architectures.
- See DeepMind’s WeatherNext 3: AI-Driven High-Resolution Global Weather Forecasting for technical details.