5 citations · 5 across the 3 of their papers we have counts for
4 papers
Stochasticity and probabilistic trajectory scoring are essential for data-driven closures of chaotic systems
Martin Thomas Brolly
Coarse-grained models of chaotic systems neglect unresolved degrees of freedom, inducing structured model error that limits predictability and distorts long-term statistics. Typica…
Stochastic parameterisation: the importance of nonlocality and memory
Martin T. Brolly
Stochastic parameterisations deployed in models of the Earth system frequently invoke locality assumptions such as Markovianity or spatial locality. This work highlights the impact…
Inferring ocean transport statistics with probabilistic neural networks
Martin T. Brolly
Using a probabilistic neural network and Lagrangian observations from the Global Drifter Program, we model the single particle transition probability density function (pdf) of ocea…
Bayesian comparison of stochastic models of dispersion
Martin T. Brolly, James R. Maddison, Aretha L. Teckentrup +1
Stochastic models of varying complexity have been proposed to describe the dispersion of particles in turbulent flows, from simple Brownian motion to complex temporally and spatial…