4 papers
Decomposing Ensemble Spread in Lorenz '96 With Learned Stochastic Parameterizations
Birgit Kühbacher, Daan Crommelin, Niki Kilbertus
Weather and climate forecasts are inherently uncertain due to chaotic dynamics, imperfect initial conditions, and incomplete representation of the underlying physical processes. Op…
General perturbative framework for kinetics of rare transitions in 1-dimensional active particle systems
Vito Seinen, Peter G. Bolhuis, Daan Crommelin +2
We present a theoretical framework that enables investigating rare transitions in a general model of an active particle in an external potential, with the thermal Active Ornstein-U…
Asymptotic behavior for a general class of spreading models
K. M. D. Chan, D. T. Crommelin, M. R. H. Mandjes
Growing literatures on epidemic and rumor dynamics show that infection and information coevolve. We present a unified framework for modeling the spread of infection and information…
Reduced Data-Driven Turbulence Closure for Capturing Long-Term Statistics
Rik Hoekstra, Daan Crommelin, Wouter Edeling
We introduce a simple, stochastic, a-posteriori, turbulence closure model based on a reduced subgrid scale term. This subgrid scale term is tailor-made to capture the statistics of…