Daan Crommelin
- Full Name
- Prof.dr. D.T. Crommelin
- Function(s)
- Scientific Staff Member
- Daan.Crommelin@cwi.nl
- Telephone
- +31 20 592 4194
- Room
- M130
- Department(s)
- Scientific Computing
- Homepage
- https://homepages.cwi.nl/~dtc/
Biography
Daan Crommelin works on stochastic and computational methods for multiscale systems, with applications in climate science and energy systems. Key research interests are model uncertainties due to unresolved processes, uncertainty quantification, and rare events. Crommelin is an associate editor of SIAM Multiscale Modeling & Simulation, co-initiated the Dutch national research program on "Mathematics of Planet Earth (MPE). Essential Dynamics and Uncertainty", and was awarded a Vidi grant by NWO.
Publications
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Crommelin, D.T, & Edeling, W.N. (2021). Resampling with neural networks for stochastic parameterization in multiscale systems. Physica - D, Nonlinear Phenomena, 422. doi:10.1016/j.physd.2021.132894
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Suleimenova, D, Arabnejad, H, Edeling, W.N, Coster, D.P, Luk, O.O, Lakhlili, J, … Groen, D. (2021). Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit. Journal of Computational Science, 53. doi:10.1016/j.jocs.2021.101402
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Jansson, F.R, Edeling, W.N, Attema, J, & Crommelin, D.T. (2021). Assessing uncertainties from physical parameters and modelling choices in an atmospheric large eddy simulation model. Philosophical Transactions of the Royal Society A , 379(2197). doi:10.1098/rsta.2020.0073
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Groen, D, Arabnejad, H, Jancauskas, V, Edeling, W.N, Jansson, F.R, Richardson, R.A, … Coveney, P.V. (2021). VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations. Philosophical Transactions of the Royal Society A , 379(2197). doi:10.1098/rsta.2020.0221
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Edeling, W.N, Arabnejad, H, Sinclair, R, Suleimenova, D, Gopalakrishnan, K, Bosak, B, … Coveney, P.V. (2021). The impact of uncertainty on predictions of the CovidSim epidemiological code. Nature Computational Science, 1, 128–135. doi:10.1038/s43588-021-00028-9
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Verheul, N, & Crommelin, D.T. (2021). Stochastic parametrization with VARX processes. Communications in Applied Mathematics and Computational Science, 16(1), 33–57. doi:10.2140/CAMCOS.2021.16.33
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Wright, D.W, Richardson, R.A, Edeling, W.N, Lakhlili, J, Sinclair, R, Jancauskas, V, … Coveney, P.V. (2020). Building Confidence in Simulation: Applications of EasyVVUQ. Advanced Theory and Simulations, 3(8). doi:10.1002/adts.201900246
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van den Oord, G, Jansson, F.R, Pelupessy, F.I, Chertova, M, Grönqvist, J.H, Siebesma, A.P, & Crommelin, D.T. (2020). A Python interface to the Dutch Atmospheric Large-Eddy Simulation. SoftwareX, 12. doi:10.1016/j.softx.2020.100608
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Edeling, W.N, & Crommelin, D.T. (2020). Reducing data-driven dynamical subgrid scale models by physical constraints. Computers & Fluids, 201. doi:10.1016/j.compfluid.2020.104470
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Eggels, A.W. (Anne W.), & Crommelin, D.T. (2020). Uncertainty quantification with dependent inputs: Wind and waves. In Proceedings of the 6th European Conference on Computational Mechanics: Solids, Structures and Coupled Problems, ECCM 2018 and 7th European Conference on Computational Fluid Dynamics, ECFD 2018 (pp. 4099–4110).
Current projects with external funding
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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)