Daan Crommelin

Biography

Publications

• Jansson, F.R, van den Oord, G, Pelupessy, F.I, Grönqvist, J.H, Siebesma, A.P, & Crommelin, D.T. (2019). Regional superparameterization in a global circulation model using Large Eddy Simulations. Journal of Advances in Modeling Earth Systems, 11. doi:10.1029/ 2018MS001600
• Groen, D, Richardson, R.A, Wright, D.W, Jancauskas, V, Sinclair, R, Karlshoefer, P, … Coveney, P.V. (2019). Introducing VECMAtk - Verification, validation and uncertainty quantification for multiscale and HPC simulations. In Lecture Notes in Computer Science/Lecture Notes in Artificial Intelligence (pp. 479–492). doi:10.1007/978-3-030-22747-0_36
• Pelupessy, F.I, Portegies Zwart, S, Van Elteren, A, Dijkstra, H.A, Jansson, F.R, Crommelin, D.T, … van den Oord, G. (2019). Creating a reusable cross-disciplinary multi-scale and multi-physics framework: From AMUSE to OMUSE and beyond. In Lecture Notes in Computer Science/Lecture Notes in Artificial Intelligence (pp. 379–392). doi:10.1007/978-3-030-22747-0_29
• Edeling, W.N, & Crommelin, D.T. (2019). Towards data-driven dynamic surrogate models for ocean flow. In Proceedings of the Platform for Advanced Scientific Computing Conference. doi:10.1145/3324989.3325713
• Viebahn, J.P, Crommelin, D.T, & Dijkstra, H.A. (2019). Towards a turbulence closure based on energy modes. Journal of Physical Oceanography, 49(4), 1075–1097. doi:10.1175/JPO-D-18-0117.1
• Jansson, F.R, van den Oord, G, Pelupessy, F.I, Chertova, M, Siebesma, A.P, & Crommelin, D.T. (2019). On the regional superparametrization of OpenIFS by 3D LES models.
• Bisewski, K.L, Crommelin, D.T, & Mandjes, M.R.H. (2019). Rare event simulation for steady-state probabilities via recurrency cycles. Chaos (Woodbury, N.Y.), 29(3). doi:10.1063/1.5080296
• Eggels, A.W, & Crommelin, D.T. (2019). Quantifying data dependencies with Rényi mutual information and minimum spanning trees. Entropy, 21(2). doi:10.3390/e21020100
• Bisewski, K.L, Crommelin, D.T, & Mandjes, M.R.H. (2018). Simulation-based assessment of the stationary tail distribution of a stochastic differential equation. In Proceedings of the 2018 Winter Simulation Conference.
• Jansson, F.R, van den Oord, G, Siebesma, A.P, & Crommelin, D.T. (2018). Resolving clouds in a global atmosphere model - a multiscale approach with nested models. In Proceedings - IEEE 14th International Conference on eScience, e-Science 2018. doi:10.1109/eScience.2018.00043

Current projects with external funding

• Towards cloud-resolving climate simulations
• Excellence in Uncertainty Reduction of Offshore Wind Systems / Loads and Damage (EUROS)
• Verified Exascale Computing for Multiscale Applications (VECMA)

Professional activities

• Professor: Professor by special appoinment : Universiteit van Amsterdam - [UvA] - Bijzonder hoogleraar Numerieke Analyse en Dynamische Systemen
• Editor: Associate Editor: Journal: Multiscale Modeling and Simulation - [MMS]

Grants

• NLeSC-ASDI grant Towards Large-Scale Cloud-Resolving Climate Simulations (2016)
• NWO-EW NWO-EW Mathematics of Planet Earth, 2014, Rare Event Simulation for Climate Extremes (2014)
• NWO-EW NWO-EW Ideas program Mathematics of Planet Earth: Essential Dynamics and Uncertainty, 2013 (2013)
• Vidi Stochastic models for unresolved scales in geophysical flows (2012)
• Shell-NWO/FOM CSER program Reliability and robustness of power grids with uncertain generation (2012)