Christian L.E. Franzke Susana Barbosa Richard Blender Hege‐Beate Fredriksen Thomas Laepple Fabrice Lambert Tine Nilsen Kristoffer Rypdal Martin Rypdal Manuel G. Scotto Stéphane Vannitsem Nicholas W. Watkins Lichao Yang Naiming Yuan, The structure of climate variability across scales, Reviews of Geophysics, 58, e2019RG000657, 2020
2020
Demaeyer, J. and Vannitsem, S.: Correcting for model changes in statistical postprocessing – an approach based on response theory, Nonlin. Processes Geophys., 27, 307–327, https://doi.org/10.5194/npg-27-307-2020, 2020.
Demaeyer, J., De Cruz, L., & Vannitsem, S.: qgs: A flexible Python framework of reduced-order multiscale climate models. The Journal of Open Source Software, 5(56), 2597, 2020.
Tao, L., Duan, W. & Vannitsem, S. Improving forecasts of El Niño diversity: a nonlinear forcing singular vector approach. Clim Dyn (2020). https://doi.org/10.1007/s00382-020-05292-5
Tondeur, M., A. Carrassi, S Vannitsem & M. Bocquet. On temporal scale separation in coupled data assimilation with the ensemble Kalman Filter, J Stat Phys., 179, 1161-1185, 2020.
Van Ginderachter, M., Degrauwe, D., Vannitsem, S., and Termonia, P.: Simulating model uncertainty of subgrid-scale processes by sampling model errors at convective scales, Nonlin. Processes Geophys., 27, 187–207, https://doi.org/10.5194/npg-27-187-2020, 2020.
Vannitsem, S., Duan, W. On the use of near-neutral Backward Lyapunov Vectors to get reliable ensemble forecasts in coupled ocean–atmosphere systems. Clim Dyn (2020). https://doi.org/10.1007/s00382-020-05313-3