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EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impacts [article]

Christian Requena-Mesa, Vitus Benson, Joachim Denzler, Jakob Runge, Markus Reichstein
2020 arXiv   pre-print
For model intercomparison we frame EarthNet2021 as a challenge with four tracks based on different test sets.  ...  Hence, we define the EarthNetScore, a novel ranking criterion for models forecasting Earth surface reflectance.  ...  We are thankful for invaluable help, comments and discussions to the DLR Climate Informatics and the MPI-BGC EIES group members, especially to Andreas Gerhardus, Christopher Käding, Miguel Mahecha, Christian  ... 
arXiv:2012.06246v1 fatcat:m7a32p22zbht5mpfxjdo46t3eu

EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task [article]

Christian Requena-Mesa, Vitus Benson, Markus Reichstein, Jakob Runge, Joachim Denzler
2021 arXiv   pre-print
EarthNet2021 is a large dataset suitable for training deep neural networks on the task.  ...  Additionally we frame EarthNet2021 as a challenge allowing for model intercomparison. Resulting forecasts will greatly improve (>x50) over the spatial resolution found in numerical models.  ...  Acknowledgements We thank three anonymous reviewers and the area chair for their constructive reviews.  ... 
arXiv:2104.10066v1 fatcat:w6fg5gzhmvdr5ank4jfhbustg4