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This archive contains the data and model weights for the paper "Graph-based Neural Space Weather Forecasting". The data is saved as two zarr stores, one for the static data and one for the simulation itself. The yaml configuration files provided alongside the data are used to preprocess the data with mllam-data-prep, and for running the training and evaluation. Already trained model weights are also provided, and named according to the model and mesh used to train them.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |