1k citations · 1.1k across the 5 of their papers we have counts for
5 papers
Skillful Precipitation Nowcasting using Deep Generative Models of Radar
Suman Ravuri, Karel Lenc, Matthew Willson +17
Precipitation nowcasting, the high-resolution forecasting of precipitation up to two hours ahead, supports the real-world socio-economic needs of many sectors reliant on weather-de…
A review of radar-based nowcasting of precipitation and applicable machine learning techniques
Rachel Prudden, Samantha Adams, Dmitry Kangin +4
A 'nowcast' is a type of weather forecast which makes predictions in the very short term, typically less than two hours - a period in which traditional numerical weather prediction…
What is next for National Meteorological Services?
Alberto Arribas, Nial H. Robinson, Phil Evans
Weather prediction is one of the greatest scientific and technical successes of the last century. Today, National Meteorological Services routinely produce forecasts that have a ma…
A Practical Approach to Spatiotemporal Data Compression
Niall H. Robinson, Rachel Prudden, Alberto Arribas
Datasets representing the world around us are becoming ever more unwieldy as data volumes grow. This is largely due to increased measurement and modelling resolution, but the probl…
A Bayesian framework for verification and recalibration of ensemble forecasts: How uncertain is NAO predictability?
Stefan Siegert, David B. Stephenson, Philip G. Sansom +3
Predictability estimates of ensemble prediction systems are uncertain due to limited numbers of past forecasts and observations. To account for such uncertainty, this paper propose…