most citedForecasting large-scale circulation regimes using deformable convolutional neural networks and global spatiotemporal climate data

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.LG2022★ 2 cited

Forecasting large-scale circulation regimes using deformable convolutional neural networks and global spatiotemporal climate data

Andreas Holm Nielsen, Alexandros Iosifidis, Henrik Karstoft

Classifying the state of the atmosphere into a finite number of large-scale circulation regimes is a popular way of investigating teleconnections, the predictability of severe weat…