1 citations · 1 across the 4 of their papers we have counts for
4 papers
Generate the Forest before the Trees -- A Hierarchical Diffusion model for Climate Downscaling
Declan J. Curran, Sanaa Hobeichi, Hira Saleem +2
Downscaling is essential for generating the high-resolution climate data needed for local planning, but traditional methods remain computationally demanding. Recent years have seen…
Information Retrieval for Climate Impact
Maarten de Rijke, Bart van den Hurk, Flora Salim +28
The purpose of the MANILA24 Workshop on information retrieval for climate impact was to bring together researchers from academia, industry, governments, and NGOs to identify and di…
Resolution-Agnostic Transformer-based Climate Downscaling
Declan Curran, Hira Saleem, Sanaa Hobeichi +1
Understanding future weather changes at regional and local scales is crucial for planning and decision-making, particularly in the context of extreme weather events, as well as for…
Identifying high resolution benchmark data needs and Novel data-driven methodologies for Climate Downscaling
Declan Curran, Hira Saleem, Flora Salim
We address the essential role of information retrieval in enhancing climate downscaling, focusing on the need for high-resolution datasets and the application of deep learning mode…