15 citations as recorded by crossref.

1. Full-field initialized decadal predictions with the MPI earth system model: an initial shock in the North Atlantic J. Kröger et al. 10.1007/s00382-017-4030-1
2. Impact of Ocean and Sea Ice Initialisation On Seasonal Prediction Skill in the Arctic M. Kimmritz et al. 10.1029/2019MS001825
3. Linking the Anomaly Initialization Approach to the Mapping Paradigm: A Proof-of-Concept Study R. Weber et al. 10.1175/MWR-D-14-00398.1
4. Assessment of Model Drifts in Seasonal Forecasting: Sensitivity to Ensemble Size and Implications for Bias Correction R. Manzanas 10.1029/2019MS001751
5. RETRACTED ARTICLE: A neural network–based rainfall trend in plain areas and a personalized French learning system G. Xiao 10.1007/s12517-021-07419-2
6. Structural decomposition of decadal climate prediction errors: A Bayesian approach D. Zanchettin et al. 10.1038/s41598-017-13144-2
7. Deep learning subgrid-scale parametrisations for short-term forecasting of sea-ice dynamics with a Maxwell elasto-brittle rheology T. Finn et al. 10.5194/tc-17-2965-2023
8. Coupled atmosphere–ocean data assimilation experiments with a low-order model and CMIP5 model data R. Tardif et al. 10.1007/s00382-014-2390-3
9. Decadal climate prediction with a refined anomaly initialisation approach D. Volpi et al. 10.1007/s00382-016-3176-6
10. RETRACTED ARTICLE: Green urban vegetation planning and economic efficiency based on remote sensing images and grid geographic space Y. Lu & L. Lei 10.1007/s12517-021-07146-8
11. Intercomparison of initialization methods for seasonal-to-decadal climate predictions with the NorCPM L. Garcia-Oliva et al. 10.1007/s00382-024-07170-w
12. Data assimilation in the geosciences: An overview of methods, issues, and perspectives A. Carrassi et al. 10.1002/wcc.535
13. The 4DEnVar-based weakly coupled land data assimilation system for E3SM version 2 P. Shi et al. 10.5194/gmd-17-3025-2024
14. Sources of skill in near-term climate prediction: generating initial conditions A. Carrassi et al. 10.1007/s00382-016-3036-4
15. A new approach for optimizing air pollutant emissions using Newtonian relaxation and the coupled WRF-CAMx model: a case study in Xuzhou city, China Y. Li et al. 10.1007/s12517-020-06002-5