MLLAM
MLLAM is a collaborative community dedicated to advancing machine learning applications in weather forecasting, specifically for Limited Area Modeling (LAM). The organization hosts several open-source key repositories, including neural-lam, which focuses on neural weather prediction using graph-based models. Members are from various research institutions and national weather services committed to improve weather forecasting at regional, high-resolution scale.
GSoC Participation History
Technologies
Topics
Past Projects
Flexible Graph Construction for Neural Weather Prediction
Neural weather prediction models like neural-lam rely on graph neural networks, but the current graph construction pipeline is locked to rectangular...
Generalizing to Probabilistic Forecasting Models
The existing Neural-lam probabilistic forecasting model, GraphEFM, currently exists in an isolated branch (prob_model_lam) with a monolithic ARModel...
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MLLAM | GSoC Org Profile & Stats - Learn about MLLAM's involvement in Google Summer of Code (GSoC), their technologies, detailed reports.
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