Articles | Volume 16, issue 1
https://doi.org/10.5194/gmd-16-251-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extreme wind speed events in the short to medium range
Data sets
ERA5 hourly data on pressure levels from 1979 to present https://doi.org/10.24381/cds.bd0915c6
Model code and software
Deep-RNN-for-extreme-wind-speed-prediction https://doi.org/10.5281/zenodo.7369015