no code implementations • 2 Aug 2023 • Jose González-Abad, Álex Hernández-García, Paula Harder, David Rolnick, José Manuel Gutiérrez
Global Climate Models (GCMs) are the primary tool to simulate climate evolution and assess the impacts of climate change.
no code implementations • 27 Apr 2023 • Jose González-Abad, Jorge Baño-Medina
Recently, deep learning has emerged as a promising tool for statistical downscaling, the set of methods for generating high-resolution climate fields from coarse low-resolution variables.
1 code implementation • 27 Apr 2023 • Jose González-Abad, Jorge Baño-Medina, Ignacio Heredia Cachá
Deep Learning has recently emerged as a perfect prognosis downscaling technique to compute high-resolution fields from large-scale coarse atmospheric data.
1 code implementation • 3 Feb 2023 • Jose González-Abad, Jorge Baño-Medina, José Manuel Gutiérrez
Deep learning (DL) has emerged as a promising tool to downscale climate projections at regional-to-local scales from large-scale atmospheric fields following the perfect-prognosis (PP) approach.