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physics.ao-ph2026
Generative modelling for multivariate spatio-temporal downscaling of monthly climate fields
Yu Huang, Shangshang Yang, Sebastian Bathiany +3
Inferring climate fields at higher spatio-temporal resolutions from coarse representations is essential for accessing socioeconomic and environmental impacts. The downscaling of mo…
math.NA2026
Uniform Chebyshev approximations of functions satisfying a variation-type condition: reconstruction of time-varying signals on graphs
Davide Bianchi, Sandra Saliani, Dimitrios Vavitsas
We prove uniform approximation theorems for Chebyshev expansions of continuous functions of two variables. Under a variation-type condition on the square , a continuous f…