Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 46
Number of items: 46
  • Open Access
    Jansson, F., Edeling, W., Attema, J., & Crommelin, D. (2021). Assessing uncertainties from physical parameters and modelling choices in an atmospheric large eddy simulation model. Philosophical Transactions of the Royal Society A - Mathematical, Physical and Engineering Sciences, 379(2197), Article 20200073. https://doi.org/10.1098/rsta.2020.0073
  • Open Access
    van den Oord, G., Chertova, M., Jansson, F., Pelupessy, I., Siebesma, P., & Crommelin, D. (2021). Performance optimization and load-balancing modeling for superparametrization by 3D LES. In T. Robinson (Ed.), PASC '21: Proceedings of the Platform for Advanced Scientific Computing Conference Article 7 The Association for Computing Machinery. https://doi.org/10.1145/3468267.3470611
  • Open Access
    Gugole, F., Coffeng, L. E., Edeling, W., Sanderse, B., de Vlas, S. J., & Crommelin, D. (2021). Uncertainty quantification and sensitivity analysis of COVID-19 exit strategies in an individual-based transmission model. PLoS Computational Biology, 17(9), Article 1009355. https://doi.org/10.1371/journal.pcbi.1009355
  • Open Access
    van den Oord, G., Jansson, F., Pelupessy, I., Chertova, M., Grönqvist, J. H., Siebesma, P., & Crommelin, D. (2020). A Python interface to the Dutch Atmospheric Large-Eddy Simulation. SoftwareX, 12, Article 100608. https://doi.org/10.1016/j.softx.2020.100608
  • Razaaly, N., Crommelin, D., & Congedo, P. M. (2020). Efficient estimation of extreme quantiles using adaptive kriging and importance sampling. International Journal for Numerical Methods in Engineering, 121(9), 2086-2105. https://doi.org/10.1002/nme.6300
  • Edeling, W., & Crommelin, D. (2020). Reducing data-driven dynamical subgrid scale models by physical constraints. Computers and Fluids, 201, Article 104470. https://doi.org/10.1016/j.compfluid.2020.104470
  • Open Access
    Crommelin, D. T., Edeling, W., & Jansson, F. (2020). Tackling the Multiscale Challenge of Climate Modelling. ERCIM News, 121, 15-17. https://ercim-news.ercim.eu/en121
  • Open Access
    Wright, D. W., Richardson, R. A., Edeling, W., Lakhlili, J., Sinclair, R. C., Jancauskas, V., Suleimenova, D., Bosak, B., Kulczewski, M., Piontek, T., Kopta, P., Chirca, I., Arabnejad, H., Luk, O. O., Hoenen, O., Węglarz, J., Crommelin, D., Groen, D., & Coveney, P. V. (2020). Building Confidence in Simulation: Applications of EasyVVUQ. Advanced Theory and Simulations, 3(8), Article 1900246. https://doi.org/10.1002/adts.201900246
  • Open Access
    Eggels, A. W. (2019). Uncertainty quantification with dependent input data: Including applications to offshore wind farms. [Thesis, externally prepared, Universiteit van Amsterdam].
  • Bisewski, K., Crommelin, D., & Mandjes, M. (2019). Rare event simulation for steady-state probabilities via recurrency cycles. Chaos, 29(3), Article 033131. https://doi.org/10.1063/1.5080296
Page 2 of 5