Dr. S. (Sven) Baars

Researcher
Physical Oceanography
s.baars@uu.nl

Publications

2023

Scholarly publications

Mulder, T. E., Baars, S., Wubs, F. W., Pelupessy, F. I., Verstraaten, M., & Dijkstra, H. A. (2023). Symbiotic Ocean Modeling Using Physics-Controlled Echo State Networks. Journal of Advances in Modeling Earth Systems, 15(12), 1-18. Article e2023MS003631. https://doi.org/10.1029/2023MS003631
https://dspace.library.uu.nl/bitstream/handle/1874/435590/J_Adv_Model_Earth_Syst_-_2023_-_Mulder_-_Symbiotic_Ocean_Modeling_Using_Physics_Controlled_Echo_State_Networks.pdf?sequence=1
Westen, R. V., Kotnala, S., Baars, S., Wubs, F. W., & Dijkstra, H. (2023). A New Method to Compute Transition Probabilities in Multi‐Stable Stochastic Dynamical Systems: Application to the Wind‐Driven Ocean Circulation. Journal of Advances in Modeling Earth Systems, 15(5), Article e2022MS003456. https://doi.org/10.1029/2022MS003456

2021

Scholarly publications

Baars, S., van der Klok, M., Thies, J., & Wubs, F. W. (2021). A staggered‐grid multilevel incomplete LU for steady incompressible flows. International Journal for Numerical Methods in Fluids, 93(4), 909-926. https://doi.org/10.1002/fld.4913
Baars, S., Castellana, D., Wubs, F. W., & Dijkstra, H. A. (2021). Application of Adaptive Multilevel Splitting to High-Dimensional Dynamical Systems. Journal of Computational Physics, 424, 1-12. Article 109876. https://doi.org/10.1016/j.jcp.2020.109876

2019

Scholarly publications

Baars, S. (2019). Numerical methods for studying transition probabilities in stochastic ocean-climate models.
Castellana, D., Baars, S., Wubs, F. W., & Dijkstra, H. A. (2019). Transition Probabilities of Noise-induced Transitions of the Atlantic Ocean Circulation. Scientific Reports, 9, 1-7. Article 20284. https://doi.org/10.1038/s41598-019-56435-6

2018

Scholarly publications

Song, W., Wubs, F. W., Thies, J., & Baars, S. (2018). Numerical bifurcation analysis of a 3D turing-type reaction–diffusion model. Communications in Nonlinear Science and Numerical Simulation. https://doi.org/10.1016/j.cnsns.2018.01.003
Mulder, T. E., Baars, S., Wubs, F. W., & Dijkstra, H. A. (2018). Stochastic marine ice sheet variability. Journal of Fluid Mechanics, 843, 748-777. https://doi.org/10.1017/jfm.2018.148

2017

Scholarly publications

Baars, S., Viebahn, J. P., Mulder, T. E., Kuehn, C., Wubs, F. W., & Dijkstra, H. A. (2017). Continuation of probability density functions using a generalized Lyapunov approach. Journal of Computational Physics, 336, 627-643. https://doi.org/10.1016/j.jcp.2017.02.021

2016

Scholarly publications

Carpentieri, B., Liao, J., Sosonkina, M., Bonfiglioli, A., & Baars, S. (2016). Using the VBARMS method in parallel computing. Parallel Computing. https://doi.org/10.1016/j.parco.2016.01.005
Dijkstra, H. A., Tantet, A. J. J., Viebahn, J. P., Mulder, T. E., Hebbink, M., Castellana, D., van den Pol, H., Frank, J. E., Baars, S., Wubs, F. W., Chekroun, M., & Kuehn, C. (2016). A numerical framework to understand transitions in high-dimensional stochastic dynamical systems. Dynamics and Statistics of the Climate System, 1(1), Article dzw003. https://doi.org/10.1093/climsys/dzw003