Deep Learning Regional Climate Model Emulators: a comparison of two downscaling training frameworks [datasets] ...

• Main Authors: Van Der Meer, Marijn, De Roda Husman, Sophie, Lhermitte, Stef
• Format: Dataset
• Language: unknown
• Published: Zenodo 2023
• Subjects: Antarctic; The Antarctic; Antarc*; Ice Sheet
• Online Access: https://dx.doi.org/10.5281/zenodo.7875882; https://zenodo.org/record/7875882

Outputs used in: van der Meer, M., de Roda Husman, S., Lhermitte, S.: Deep Learning Regional Climate Model Emulators: a comparison of two downscaling training frameworks MAR(ACCESS1-3)_monthly_SMB.nc: MAR outputs with monthly values of SMB and components over the Antarctic ice sheet (1980--2100) MAR(ACCESS1-3)-stereographic_monthly_GCM_like.nc: MAR outputs upscaled to GCM resolution (1980--2100) ACCESS1-3-stereographic_monthly_cleaned.nc: GCM monthly outputs over the Antarctic ice sheet (1980--2100) The up-to-date working versions of our experiments and source code can be found and are available on our GitHub: https://github.com/marvande/RCM-Emulator and at this link: https://doi.org/10.5281/zenodo.7875967 Data usage notice: If you use any of these results, please acknowledge the work of the people involved in producing them. You should also refer to and cite the following paper: Cite as: Marijn van der Meer, Sophie de Roda Husman, S Lhermitte. Deep Learning Regional Climate Model Emulators: a comparison of ...