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

<p>Outputs used in:</p> <p><em>van der Meer, M., de Roda Husman, S., Lhermitte, S.: </em>Deep Learning Regional Climate Model Emulators: a comparison of two downscaling training frameworks</p> <ul> <li>MAR(ACCESS1-3)_monthly_SMB.nc: MAR outputs with monthly values of SMB and components over the Antarctic ice sheet (1980--2100)</li> <li>MAR(ACCESS1-3)-stereographic_monthly_GCM_like.nc: MAR outputs upscaled to GCM resolution&nbsp;(1980--2100)</li> <li>ACCESS1-3-stereographic_monthly_cleaned.nc: GCM monthly outputs over the Antarctic ice sheet (1980--2100)</li> </ul> <p>The up-to-date working versions of our experiments and source code can be found and are available on our GitHub:&nbsp;<a href="https://github.com/marvande/RCM-Emulator">https://github.com/marvande/RCM-Emulator</a>&nbsp;and at this link:&nbsp;<a href="https://doi.org/10.5281/zenodo.7875967">https://doi.org/10.5281/zenodo.7875967</a></p> <p>Data usage notice:</p> <p>If you use any of these results, please acknowledge the work of the people involved in producing them.&nbsp;You should also refer to and cite the following paper:</p> <p><strong>Cite as:&nbsp;</strong>Marijn van der Meer, Sophie de Roda Husman, S Lhermitte.&nbsp;Deep Learning Regional Climate Model Emulators: a comparison of two downscaling training frameworks.&nbsp;<em>Authorea.</em>&nbsp;December 27, 2022&nbsp;<br> DOI:&nbsp;<a href="https://doi.org/10.22541/essoar.167214210.02213149/v1">10.22541/essoar.167214210.02213149/v1</a>&nbsp;</p>