Korteweg-de Vries Institute for Mathematics

Photographer: Dirk Gillissen

prof. dr. D.T. (Daan) Crommelin


  • Faculty of Science
    Korteweg-de Vries Instituut
  • Visiting address
    Science Park 107
    Science Park 107  Room number: C3.134
  • Postal address:
    Postbus  94248
    1090 GE  Amsterdam
  • D.T.Crommelin@uva.nl
    T: 0205256540
    T: 0205924194

2018

  • Bhaumik, D., Crommelin, D., & Zwart, B. (2018). Mitigation of large power spills by an energy storage device in a stand alone energy system. Journal of Energy Storage, 16, 76-83. DOI: 10.1016/j.est.2017.12.012 
  • Eggels, A. W., Crommelin, D. T., & Witteveen, J. A. S. (2018). Clustering-based collocation for uncertainty propagation with multivariate dependent inputs. International Journal for Uncertainty Quantification, 8(1), 43-59. DOI: 10.1615/Int.J.UncertaintyQuantification.2018020215 

2017

  • Verheul, N., Viebahn, J., & Crommelin, D. (2017). Covariate-based stochastic parameterization of baroclinic ocean eddies. Mathematics of Climate and Weather Forecasting, 3(1), 90-117. DOI: 10.1515/mcwf-2017-0005  [details] 
  • Berner, J., Achatz, U., Batté, L., Bengtsson, L., de la Cámara, A., Christensen, H. M., ... Yano, J-I. (2017). Stochastic Parameterization: Toward a New View of Weather and Climate Models. Bulletin of the American Meteorological Society, 98(3), 565-588. DOI: 10.1175/BAMS-D-15-00268.1 
  • Gottwald, G. A., Crommelin, D. T., & Franzke, C. L. E. (2017). Stochastic climate theory. In C. L. E. Franzke, & T. J. O'Kane (Eds.), Nonlinear and Stochastic Climate Dynamics (pp. 209-240). Cambridge: Cambridge University Press. [details] 

2016

  • Dorrestijn, J., Crommelin, D. T., Siebesma, A. P., Jonker, H. J. J., & Selten, F. (2016). Stochastic Convection Parameterization with Markov Chains in an Intermediate-Complexity GCM. Journal of the Atmospheric Sciences, 73(3), 1367-1382. DOI: 10.1175/JAS-D-15-0244.1 
  • Bhaumik, D., Crommelin, D., & Zwart, B. (2016). A computational method for optimizing storage placement to maximize power network reliability. In T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, & S. E. Chick (Eds.), WSC'16 : Winter Simulation Conference: simulating complex service systems : Crystal Gateway Marriott, Arlington, VA, December 11-14, 2016 (pp. 883-894). Piscataway, NJ: IEEE. DOI: 10.1109/WSC.2016.7822150  [details] 
  • Verheul, N., & Crommelin, D. (2016). Data-driven stochastic representations of unresolved features in multiscale models. Communications in Mathematical Sciences, 14(5), 1213 – 1236. DOI: 10.4310/CMS.2016.v14.n5.a2 

2015

  • Crommelin, D., & Khouider, B. (2015). Stochastic and Statistical Methods in Climate, Atmosphere, and Ocean Science. In B. Engquist (Ed.), Encyclopedia of Applied and Computational Mathematics (pp. 1377-1386). Heidelberg: Springer Reference. DOI: 10.1007/978-3-540-70529-1_565  [details] 

2014

  • Wadman, W., Crommelin, D., & Frank, J. (2014). A separated splitting technique for disconnected rare event sets. In A. Tolk, S. Y. Diallo, I. O. Ryzhov, L. Yilmaz, S. Buckley, & J. A. Miller (Eds.), Proceedings of the 2014 Winter Simulation Conference: exploring big data through simulation: December 7-10, 2014, Westin Savannah Harbor Resort, Savannah, GA (pp. 522-532). Piscataway, NJ: IEEE. DOI: 10.1109/WSC.2014.7019917  [details] 
  • Thompson, W. F., Monahan, A. H., & Crommelin, D. (2014). Parametric Estimation of the Stochastic Dynamics of Sea Surface Winds. Journal of the Atmospheric Sciences, 71(9), 3465-3483. DOI: 10.1175/JAS-D-13-0260.1  [details] 

2013

  • Wadman, W., Bloemhof, G., Crommelin, D., & Frank, J. (2013). Probablistic Power Flow Simulations Allowing Temporary Current Overloading. In A. Ozdemir (Ed.), Proceedings of the 12th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS 2012), 10-14th June 2012, Istanbul, Turkey (pp. 494-499). Istanbul: PAMPS. [details] 

Journal editor

  • Crommelin, D. T. (editor) (2014-2018). Multiscale Modeling & Simulation (Journal).
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