Niall H. Robinson

According to our database, Niall H. Robinson authored at least 6 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Aidan Clark, Andrew Brock, Karen Simonyan, Raia Hadsell, Niall H. Robinson, Ellen Clancy, Alberto Arribas, Shakir Mohamed

Nat., 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

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, Aidan Clark, Andrew Brock, Karen Simonyan, Raia Hadsell, Niall H. Robinson, Ellen Clancy, Alberto Arribas, Shakir Mohamed

CoRR, 2021

2020

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

2019

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

2016

A Practical Approach to Spatiotemporal Data Compression.

Niall H. Robinson, Rachel Prudden, Alberto Arribas

CoRR, 2016