17 citations · 17 across the 4 of their papers we have counts for
4 papers
Embedding machine-learnt sub-grid variability improves climate model biases
Daniel Giles, James Briant, Cyril J. Morcrette +1
The under-representation of cloud formation is a long-standing bias associated with climate simulations. Parameterisation schemes are required to capture cloud processes within cur…
Multilevel Bayesian Quadrature
Kaiyu Li, Daniel Giles, Toni Karvonen +2
Multilevel Monte Carlo is a key tool for approximating integrals involving expensive scientific models. The idea is to use approximations of the integrand to construct an estimator…
Modelling with Volna-OP2: Towards tsunami threat reduction
Daniel Giles, Brian McConnell, Frédéric Dias
Accurate and efficient tsunami modelling is essential for providing tsunami forecasts and hazard assessments. Volna-OP2 is a finite volume solver of the nonlinear shallow water equ…
Performance analysis of Volna-OP2 -- massively parallel code for tsunami modelling
Daniel Giles, Eugene Kashdan, Dimitra M. Salmanidou +2
The software package Volna-OP2 is a robust and efficient code capable of simulating the complete life cycle of a tsunami whilst harnessing the latest High Performance Computing (HP…