Emulating present and future simulations of melt rates at the base of Antarctic ice shelves with neural networks ...

• Main Authors: Burgard, Clara, Jourdain, Nicolas, Mathiot, Pierre, Smith, Robin S., Schäfer, Rieke, Caillet, Justine, Finn, Tobias S., Johnson, J. Emmanuel
• Format: Dataset
• Language: unknown
• Published: Zenodo 2023
• Subjects: Antarc*; Antarctic; Ice Shelves
• Online Access: https://dx.doi.org/10.5281/zenodo.10149919; https://zenodo.org/doi/10.5281/zenodo.10149919

This dataset contains the data and scripts for the publication "Emulating present and future simulations of melt rates at the base of Antarctic ice shelves with neural networks" in Journal of Advances in Modeling Earth Systems. Before going into details, here is a reminder that the NEMO runs for the training dataset are called 'OPM+number'. These are the corresponding names given in the manuscript: OPM006=HIGHGETZ, OPM016=WARMROSS, OPM018=COLDAMU and OPM021=REALISTIC. For the testing dataset: 'bf663' is the REPEAT1970 run and 'bi646' is the 4xCO2 run. Most of the formatting and preprocessing of the training data has been made for Burgard et al. 2022. The raw and to-some-degree processed data can therefore be found here: https://doi.org/10.5281/zenodo.7308352. The raw data for the testing dataset is from Smith et al. 2021, you can find it here: https://doi.org/10.5281/zenodo.7886986 The following folders and files can be found here: ===============raw/ Some geometrical files needed for initial data formatting ...