activity
20242026
most citedResolution-Agnostic Transformer-based Climate Downscaling

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

PINN-Cast: Exploring the Role of Continuous-Depth NODE in Transformers and Physics Informed Loss as Soft Physical Constraints in Short-term Weather Forecasting

Hira Saleem, Flora Salim, Cormac Purcell

Operational weather prediction has long relied on physics-based numerical weather prediction (NWP), whose accuracy comes at the cost of substantial compute and complex simulation w…

cs.CV2025

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…

cs.IR2025

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…

cs.CV20241 cited

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…

physics.ao-ph2024

A-UTE: Advection Informed, Uncertainty Aware Temperature Emulator

Hira Saleem, Flora Salim, Cormac Purcell

Physics-based Earth system models (ESMs) are essential for attributing climate change and generating scenario projections, yet their reliance on high-resolution numerical integrati…