Posts by Daniel Warna
Running SOTA AI-based Weather Forecasting models on AMD Instinct
- 18 September 2025
Weather Forecasting is a complex scientific problem where immense progress has been made through the Numerical Weather Prediction (NWP) approach using computational fluid dynamics-based models. Forecasting is usually done in three stages: a data assimilation stage where all available data streams at the time \(t\) (sometimes previous times can be used to improve this estimate) are used to estimate the current 3D state of the atmosphere \( S_{t}\) (surface and atmosphere), as parameterized by a number of variables at the current time \( t\), a forecasting stage where the state \(\hat{S}_{t + \delta t}\) for a later time \( t+ \delta t\) (i.e., all the variables at this later time) are forecasted, and a downstream stage where the forecasted state at time \(t + \delta t\) is used to estimate weather variables at more specific times and locations.