20 citations as recorded by crossref.

1. 耦合条件非线性最优扰动及其在ENSO集合预报研究中的应用 晚. 段 et al. https://doi.org/10.1360/SSTe-2023-0180
2. The German Climate Forecast System: GCFS K. Fröhlich et al. https://doi.org/10.1029/2020MS002101
3. The DWD climate predictions website: Towards a seamless outlook based on subseasonal, seasonal and decadal predictions A. Paxian et al. https://doi.org/10.1016/j.cliser.2023.100379
4. Seasonal climate forecasts significantly affected by observational uncertainty of Arctic sea ice concentration F. Bunzel et al. https://doi.org/10.1002/2015GL066928
5. Improved Teleconnection‐Based Dynamical Seasonal Predictions of Boreal Winter M. Dobrynin et al. https://doi.org/10.1002/2018GL077209
6. Skilful Seasonal Prediction of Ocean Surface Waves in the Atlantic Ocean M. Dobrynin et al. https://doi.org/10.1029/2018GL081334
7. Seasonal predictability of European summer climate re-assessed N. Neddermann et al. https://doi.org/10.1007/s00382-019-04678-4
8. Predictors and prediction skill for marine cold‐air outbreaks over the Barents Sea I. Polkova* et al. https://doi.org/10.1002/qj.4038
9. Improved Seasonal Prediction of European Summer Temperatures With New Five‐Layer Soil‐Hydrology Scheme F. Bunzel et al. https://doi.org/10.1002/2017GL076204
10. Downscaling and Evaluation of Seasonal Climate Data for the European Power Sector J. Ostermöller et al. https://doi.org/10.3390/atmos12030304
11. On the use of near-neutral Backward Lyapunov Vectors to get reliable ensemble forecasts in coupled ocean–atmosphere systems S. Vannitsem & W. Duan https://doi.org/10.1007/s00382-020-05313-3
12. The impacts of oceanic deep temperature perturbations in the North Atlantic on decadal climate variability and predictability A. Germe et al. https://doi.org/10.1007/s00382-017-4016-z
13. On the robustness of near term climate predictability regarding initial state uncertainties A. Germe et al. https://doi.org/10.1007/s00382-016-3078-7
14. The application of nonlinear local Lyapunov vectors to the Zebiak–Cane model and their performance in ensemble prediction Z. Hou et al. https://doi.org/10.1007/s00382-017-3920-6
15. Dynamical attribution of oceanic prediction uncertainty in the North Atlantic: application to the design of optimal monitoring systems F. Sévellec et al. https://doi.org/10.1007/s00382-017-3969-2
16. Subtle influence of the Atlantic Meridional Overturning Circulation (AMOC) on seasonal sea surface temperature (SST) hindcast skill in the North Atlantic J. Carvalho-Oliveira et al. https://doi.org/10.5194/wcd-2-739-2021
17. Seasonal Predictability over Europe Arising from El Niño and Stratospheric Variability in the MPI-ESM Seasonal Prediction System D. Domeisen et al. https://doi.org/10.1175/JCLI-D-14-00207.1
18. Coupled conditional nonlinear optimal perturbations and their application to ENSO ensemble forecasts W. Duan et al. https://doi.org/10.1007/s11430-023-1273-1
19. Multi-model assessment of the impact of soil moisture initialization on mid-latitude summer predictability C. Ardilouze et al. https://doi.org/10.1007/s00382-017-3555-7
20. How many RCM ensemble members provide confidence in the impact of land‐use land cover change? P. Laux et al. https://doi.org/10.1002/joc.4836