3 citations · 6 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
Seasonal forecasting using the GenCast probabilistic machine learning model
Bobby Antonio, Kristian Strommen, Hannah M. Christensen
Machine-learnt weather prediction (MLWP) models are now well established as being competitive with conventional numerical weather prediction (NWP) models in the medium range. Howev…
How to derive skill from the Fractions Skill Score
Bobby Antonio, Laurence Aitchison
The Fractions Skill Score (FSS) is a widely used metric for assessing forecast skill, with applications ranging from precipitation to volcanic ash forecasts. By evaluating the frac…
Further analysis of cGAN: A system for Generative Deep Learning Post-processing of Precipitation
Fenwick C. Cooper, Andrew T. T. McRae, Matthew Chantry +2
The conditional generative adversarial rainfall model "cGAN" developed for the UK \cite{Harris22} was trained to post-process into an ensemble and downscale ERA5 rainfall to 1km re…