1 citations · 1 across the 4 of their papers we have counts for
6 papers
Can we create a `race to the top' for weather forecasts to inform smallholder farmer decisions?
Colin Aitken, Michael K. Tippett, Pedram Hassanzadeh +9
Artificial-intelligence weather prediction (AIWP) models have made it possible to produce high-quality tailored forecasts with limited computational resources. This advance has the…
Suitable Measures for the Potential Operational Utility of AI NWP Rainfall Forecasts Over Africa
Shruti Nath, Docko Sow, Koomi Toussaint Amoussouvi +5
Artificial intelligence (AI)-based weather prediction is approaching the skill of physical numerical weather prediction (NWP) systems at a fraction of the computational cost. This…
Improved rainfall forecasts in daily use over East Africa
Fenwick C. Cooper, Shruti Nath, Andrew T. T. McRae +21
Ensemble forecasting has proven to be a vital tool for predicting extreme, life-threatening or only partially predictable weather events. As well as providing probabilistic product…
SHRUG-FM: Reliability-Aware Foundation Models for Earth Observation
Maria Gonzalez-Calabuig, Kai-Hendrik Cohrs, Vishal Nedungadi +7
Geospatial foundation models (GFMs) for Earth observation often fail to perform reliably in environments underrepresented during pretraining. We introduce SHRUG-FM, a framework for…
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…
MERCURY: A fast and versatile multi-resolution based global emulator of compound climate hazards
Shruti Nath, Julie Carreau, Kai Kornhuber +3
High-impact climate damages are often driven by compounding climate conditions. For example, elevated heat stress conditions can arise from a combination of high humidity and tempe…