1 citations · 1 across the 8 of their papers we have counts for
8 papers
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…
SGNO: Spectral Generator Neural Operators for Stable Long Horizon PDE Rollouts
Jiayi Li, Penghao Jiang, Hira Saleem +3
Autoregressive neural PDE surrogates predict future states by repeatedly applying a learned one-step operator. This is a simple and widely used method, but small one-step errors ca…
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…
A-UTE: Advection Informed, Uncertainty Aware Temperature Emulator
Hira Saleem, Flora Salim, Cormac Purcell +1
Physics-based Earth system models (ESMs) are essential for attributing climate change and generating scenario projections, yet their reliance on high-resolution numerical integrati…
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…
STC-ViT: Spatio Temporal Continuous Vision Transformer for Medium-range Global Weather Forecasting
Hira Saleem, Flora Salim, Cormac Purcell
Operational Numerical Weather Prediction (NWP) system relies on computationally expensive physics-based models. Recently, transformer models have shown remarkable potential in weat…