Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 46
Number of items: 46
  • Open Access
    Verheul, N., & Crommelin, D. (2021). Stochastic parametrization with VARX processes. Communications in Applied Mathematics and Computational Science, 16(1), 33-57. https://doi.org/10.2140/camcos.2021.16.33
  • Open Access
    Crommelin, D., & Edeling, W. (2021). Resampling with neural networks for stochastic parameterization in multiscale systems. Physica D, 422, Article 132894. https://doi.org/10.1016/j.physd.2021.132894
  • Open Access
    Suleimenova, D., Arabnejad, H., Edeling, W. N., Coster, D., Luk, O. O., Lakhlili, J., Jancauskas, V., Kulczewski, M., Veen, L., Ye, D., Zun, P., Krzhizhanovskaya, V., Hoekstra, A., Crommelin, D., Coveney, P. V., & Groen, D. (2021). Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit. Journal of Computational Science, 53, Article 101402. https://doi.org/10.1016/j.jocs.2021.101402
  • 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
    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
  • 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
  • Groen, D., Richardson, R. A., Wright, D. W., Jancauskas, V., Sinclair, R., Karlshoefer, P., Vassaux, M., Arabnejad, H., Piontek, T., Kopta, P., Bosak, B., Lakhlili, J., Hoenen, O., Suleimenova, D., Edeling, W., Crommelin, D., Nikishova, A., & Coveney, P. V. (2019). Introducing VECMAtk - Verification, Validation and Uncertainty Quantification for Multiscale and HPC Simulations. In J. M. F. Rodrigues, P. J. S. Cardoso, J. Monteiro, R. Lam, V. V. Krzhizhanovskaya, M. H. Lees, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2019 : 19th International Conference Faro, Portugal, June 12-14, 2019 Proceedings (Vol. IV, pp. 479-492). (Lecture Notes in Computer Science; Vol. 11539). Springer. https://doi.org/10.1007/978-3-030-22747-0_36
  • 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