A Practical Approach to Spatiotemporal Data Compression. - Niall H. Robinson; Rachel Prudden; Alberto Arribas (CoRR, 2016)

Science needs to rethink how it interacts with big data: Five principles for effective scientific big data systems. - Niall H. Robinson; Joe Hamman; Ryan Abernathey (CoRR, 2019)

A review of radar-based nowcasting of precipitation and applicable machine learning techniques. - Rachel Prudden; Samantha V. Adams; Dmitry Kangin; Niall H. Robinson; Suman V. Ravuri; Shakir Mohamed; Alberto Arribas (CoRR, 2020)

Skillful Precipitation Nowcasting using Deep Generative Models of Radar. - Suman V. Ravuri; Karel Lenc; Matthew Willson; Dmitry Kangin; Rémi Lam; Piotr Mirowski; Megan Fitzsimons; Maria Athanassiadou; Sheleem Kashem; Sam Madge; Rachel Prudden; Amol Mandhane; et al. (CoRR, 2021)

Cloud-Native Repositories for Big Scientific Data. - Ryan Abernathey; Tom Augspurger; Anderson Banihirwe; Charles C. Blackmon-Luca; Timothy J. Crone; Chelle L. Gentemann; Joseph Hamman; Naomi Henderson; Chiara Lepore; Theo A. McCaie; Niall H. Robinson; Richard P. Signell (Comput. Sci. Eng., 2021)

Skilful precipitation nowcasting using deep generative models of radar. - Suman V. Ravuri; Karel Lenc; Matthew Willson; Dmitry Kangin; Rémi Lam; Piotr Mirowski; Megan Fitzsimons; Maria Athanassiadou; Sheleem Kashem; Sam Madge; Rachel Prudden; Amol Mandhane; et al. (Nat., 2021)