6 citations · 6 across the 4 of their papers we have counts for
4 papers
The promising potential of vision language models for the generation of textual weather forecasts
Edward C. C. Steele, Dinesh Mane, Emilio Monti +14
Despite the promising capability of multimodal foundation models, their application to the generation of meteorological products and services remains nascent. To accelerate aspirat…
Technical overview and architecture of the FastNet Machine Learning weather prediction model, version 1.0
Eric G. Daub, Tom Dunstan, Thusal Bennett +30
We present FastNet version 1.0, a data-driven medium range numerical weather prediction (NWP) model based on a Graph Neural Network architecture, developed jointly between the Alan…
FastNet: Improving the physical consistency of machine-learning weather prediction models through loss function design
Tom Dunstan, Oliver Strickson, Thusal Bennett +31
Machine learning weather prediction (MLWP) models have demonstrated remarkable potential in delivering accurate forecasts at significantly reduced computational cost compared to tr…
Developing Digital Twins for Earth Systems: Purpose, Requisites, and Benefits
Yuhan Rao, Rob Redmon, Kirstine Dale +10
The accelerated change in our planet due to human activities has led to grand societal challenges including health crises, intensified extreme weather events, food security, enviro…