Powerful Neural Networks
Fast and accurate, AMSIMP’s neural networks provide high quality weather forecasts and predictions.
AMSIMP offers a pretrained operational model architecture. It is trained on a dataset from the past decade, ranging from the year 2009 to the year 2016.
Near Real-Time NWP
AMSIMP offers near real-time numerical weather prediction through initialisation conditions provided by the Global Data Assimilation System.
The core of AMSIMP is well-optimized Python code. A performance increase of 6.18 times can be expected in comparison against a physics-based model of a similar resolution.
Easy to use
AMSIMP’s high level and intuitive syntax makes it accessible for programmers and atmospheric scientists of any experience level.