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

• Main Authors: Marijn van der Meer, Sophie de Roda Husman, Stef Lhermitte
• Format: Other/Unknown Material
• Language: unknown
• Published: Zenodo 2023
• Subjects: Antarc*; Antarctic; Ice Sheet
• Online Access: https://doi.org/10.5281/zenodo.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 two downscaling training frameworks. Authorea. December 27, 2022 DOI: 10.22541/essoar.167214210.02213149/v1