Dataset of LightRCAN: Breaking the Computational Barrier in Meteorological Downscaling via Transferable Deep Learning for ERA5 Temperature Fields
Published: 20 April 2026| Version 1 | DOI: 10.17632/nw9d2crpz5.1
Contributor:
Hoiio KongDescription
These dataset is used in the study: "LightRCAN: Breaking the Computational Barrier in Meteorological Downscaling via Transferable Deep Learning for ERA5 Temperature Fields". The netCDF format (.nc) dataset comes from ERA5.
Files
Institutions
- City University of MacauMacau, Macao
Categories
Temperament, Atmosphere Modeling