| Statistical postprocessing for weather forecasts–review, challenges and avenues in a big data world S Vannitsem, JB Bremnes, J Demaeyer, GR Evans, J Flowerdew, S Hemri, ... Bulletin of the American Meteorological Society, 1-44, 2020 | 156 | 2020 |
| Low-frequency variability and heat transport in a low-order nonlinear coupled ocean–atmosphere model S Vannitsem, J Demaeyer, L De Cruz, M Ghil Physica D: Nonlinear Phenomena 309, 71-85, 2015 | 43 | 2015 |
| Exploring the Lyapunov instability properties of high-dimensional atmospheric and climate models L De Cruz, S Schubert, J Demaeyer, V Lucarini, S Vannitsem Nonlinear Processes in Geophysics 25 (2), 387-412, 2018 | 34 | 2018 |
| The modular arbitrary-order ocean-atmosphere model: MAOOAM v1. 0 L De Cruz, J Demaeyer, S Vannitsem Geoscientific Model Development 9 (8), 2793-2808, 2016 | 34* | 2016 |
| Stochastic parametrization of subgrid‐scale processes in coupled ocean–atmosphere systems: benefits and limitations of response theory J Demaeyer, S Vannitsem Quarterly Journal of the Royal Meteorological Society 143 (703), 881-896, 2017 | 29 | 2017 |
| Data assimilation for chaotic dynamics A Carrassi, M Bocquet, J Demaeyer, C Grudzien, P Raanes, S Vannitsem Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol …, 2022 | 23* | 2022 |
| Noise-induced escape from bifurcating attractors: Symplectic approach in the weak-noise limit J Demaeyer, P Gaspard Physical Review E 80 (3), 031147, 2009 | 15 | 2009 |
| Comparison of stochastic parameterizations in the framework of a coupled ocean–atmosphere model J Demaeyer, S Vannitsem Nonlinear Processes in Geophysics 25 (3), 605-631, 2018 | 14 | 2018 |
| Stochastic Parameterization of Subgrid-Scale Processes: A Review of Recent Physically Based Approaches J Demaeyer, S Vannitsem Advances in Nonlinear Geosciences, 55-85, 2018 | 13 | 2018 |
| qgs: A flexible Python framework of reduced-order multiscale climate models J Demaeyer, L De Cruz, S Vannitsem Journal of Open Source Software 5 (56), 2597, 2020 | 10 | 2020 |
| Extratropical Low‐Frequency Variability With ENSO Forcing: A Reduced‐Order Coupled Model Study S Vannitsem, J Demaeyer, M Ghil Journal of Advances in Modeling Earth Systems 13 (6), e2021MS002530, 2021 | 7 | 2021 |
| Correcting for model changes in statistical postprocessing–an approach based on response theory J Demaeyer, S Vannitsem Nonlinear Processes in Geophysics 27 (2), 307-327, 2020 | 7 | 2020 |
| The EUPPBench postprocessing benchmark dataset v1. 0 J Demaeyer, J Bhend, S Lerch, C Primo, B Van Schaeybroeck, A Atencia, ... Earth System Science Data 15 (6), 2635-2653, 2023 | 6 | 2023 |
| A trace formula for activated escape in noisy maps J Demaeyer, P Gaspard Journal of Statistical Mechanics: Theory and Experiment 2013 (10), P10026, 2013 | 6 | 2013 |
| Identifying Efficient Ensemble Perturbations for Initializing Subseasonal‐To‐Seasonal Prediction J Demaeyer, SG Penny, S Vannitsem Journal of Advances in Modeling Earth Systems 14 (5), e2021MS002828, 2022 | 3 | 2022 |
| Statistical post-processing of ensemble forecasts at the Belgian met service J Demaeyer, S Vannitsem, B Van Schaeybroeck European Centre For Medium-Range Weather Forecasts, 2021 | 1 | 2021 |
| Variability and Predictability of a reduced-order land atmosphere coupled model AK Xavier, J Demaeyer, S Vannitsem arXiv preprint arXiv:2310.04326, 2023 | | 2023 |
| Rare event algorithm study of extremes of summer Arctic sea ice reduction J Sauer, F Ragone, F Massonnet, G Zappa, J Demaeyer arXiv preprint arXiv:2308.09984, 2023 | | 2023 |
| The EUPPBench postprocessing benchmark dataset J Demaeyer, J Bhend, S Lerch, C Primo, B Van Schaeybroeck, A Atencia, ... EMS2023, 2023 | | 2023 |
| The EUPPBench postprocessing benchmark J Bhend, J Demaeyer, S Lerch, C Primo, B Van Schaeybroeck, A Atencia, ... EGU General Assembly Conference Abstracts, EGU-9328, 2023 | | 2023 |
Stéphane VannitsemResearcher, Royal Meteorological Institute of BelgiumVerified email at meteo.be
