AIFS Machine Learning data
ECMWF is now running its own Artificial Intelligence/Integrated Forecasting System (AIFS) as part of its experiment suite. These machine-learning-based models are very fast, and they produce a 10-day forecast with 6-hourly time steps in approximately one minute.
Machine Learning model data
ECMWF is now running a series of data-driven forecasts as part of its experimental suite. These machine-learning based models are very fast, and they produce a 10-day forecast with 6-hourly time steps in approximately one minute. The outputs are available in graphical form.
Currently, three of these models are available:
Radiation emulation with machine learning
This dataset was generated to learn the radiative heating process using machine learning. More specifically, the data captures the inputs and outputs of the ecRAD radiation scheme (Hogan & Bozzo 2018) using the Tripleclouds solver (Shonk & Hogan 2008). The goal is to learn a more efficient version of the radiation scheme using neural networks or other machine learning algorithm.