Neural Operators on CogSys Project Descriptionshttps://cogsys.pages.compute.dtu.dk/projects/tags/neural-operators/Recent content in Neural Operators on CogSys Project DescriptionsHugo -- 0.140.2en-usMon, 26 Oct 2026 00:00:00 +0000Grid-Agnostic Sea Ice Downscaling with Neural Operatorshttps://cogsys.pages.compute.dtu.dk/projects/projects/neural_op_sea_ice/Mon, 26 Oct 2026 00:00:00 +0000https://cogsys.pages.compute.dtu.dk/projects/projects/neural_op_sea_ice/<h2 id="background">Background</h2> <p>Downscaling sea ice concentration (SIC) maps from coarse to fine spatial resolution is an important task in polar climate science, relevant to both operational forecasting and the analysis of observational records. A recurring practical challenge is that sea ice data products and climate model outputs live on a variety of grids, including polar stereographic projections and latitude-longitude grids. U-Nets and diffusion models require all data to be on the same regular grid before training, which means regridding is a mandatory preprocessing step. This regridding is not harmless: bilinear or nearest-neighbour interpolation introduces smoothing artefacts, can distort the sharpness of the ice edge, and discards the native resolution structure of each data source.</p>