20 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. https://doi.org/10.1007/s00382-017-4030-1
2. An ensemble-based coupled reanalysis of the climate from 1860 to the present (CoRea1860+) Y. Wang et al. https://doi.org/10.5194/essd-17-4185-2025
3. Impact of Ocean and Sea Ice Initialisation On Seasonal Prediction Skill in the Arctic M. Kimmritz et al. https://doi.org/10.1029/2019MS001825
4. Linking the Anomaly Initialization Approach to the Mapping Paradigm: A Proof-of-Concept Study R. Weber et al. https://doi.org/10.1175/MWR-D-14-00398.1
5. Correcting errors in seasonal Arctic sea ice prediction of Earth system models with machine learning Z. He et al. https://doi.org/10.5194/tc-19-3279-2025
6. Assessment of Model Drifts in Seasonal Forecasting: Sensitivity to Ensemble Size and Implications for Bias Correction R. Manzanas https://doi.org/10.1029/2019MS001751
7. Improving subseasonal forecast skill in the Norwegian Climate Prediction Model using soil moisture data assimilation A. Nair et al. https://doi.org/10.1007/s00382-024-07444-3
8. RETRACTED ARTICLE: A neural network–based rainfall trend in plain areas and a personalized French learning system G. Xiao https://doi.org/10.1007/s12517-021-07419-2
9. Structural decomposition of decadal climate prediction errors: A Bayesian approach D. Zanchettin et al. https://doi.org/10.1038/s41598-017-13144-2
10. Deep learning subgrid-scale parametrisations for short-term forecasting of sea-ice dynamics with a Maxwell elasto-brittle rheology T. Finn et al. https://doi.org/10.5194/tc-17-2965-2023
11. Enhanced prediction skill of Antarctic sea ice through sea ice thickness assimilation N. Williams et al. https://doi.org/10.5194/tc-20-3795-2026
12. Enhancing sea ice knowledge through assimilation of sea ice thickness from ENVISAT and CS2SMOS N. Williams et al. https://doi.org/10.5194/tc-20-853-2026
13. Coupled atmosphere–ocean data assimilation experiments with a low-order model and CMIP5 model data R. Tardif et al. https://doi.org/10.1007/s00382-014-2390-3
14. Decadal climate prediction with a refined anomaly initialisation approach D. Volpi et al. https://doi.org/10.1007/s00382-016-3176-6
15. RETRACTED ARTICLE: Green urban vegetation planning and economic efficiency based on remote sensing images and grid geographic space Y. Lu & L. Lei https://doi.org/10.1007/s12517-021-07146-8
16. Intercomparison of initialization methods for seasonal-to-decadal climate predictions with the NorCPM L. Garcia-Oliva et al. https://doi.org/10.1007/s00382-024-07170-w
17. Data assimilation in the geosciences: An overview of methods, issues, and perspectives A. Carrassi et al. https://doi.org/10.1002/wcc.535
18. The 4DEnVar-based weakly coupled land data assimilation system for E3SM version 2 P. Shi et al. https://doi.org/10.5194/gmd-17-3025-2024
19. Sources of skill in near-term climate prediction: generating initial conditions A. Carrassi et al. https://doi.org/10.1007/s00382-016-3036-4
20. 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. https://doi.org/10.1007/s12517-020-06002-5