Update README.md

README.md

@@ -288,12 +288,23 @@ If you use this model in your work, please cite it as follows:
       url={https://arxiv.org/abs/2506.10868},
 }
 
+@misc{lang2024aifscrps,
+      title={AIFS-CRPS: Ensemble forecasting using a model trained with a loss function based on the Continuous Ranked Probability Score}, 
+      author={Simon Lang and Mihai Alexe and Mariana C. A. Clare and Christopher Roberts and Rilwan Adewoyin and Zied Ben Bouallègue and Matthew Chantry and Jesper Dramsch and Peter D. Dueben and Sara Hahner and Pedro Maciel and Ana Prieto-Nemesio and Cathal O'Brien and Florian Pinault and Jan Polster and Baudouin Raoult and Steffen Tietsche and Martin Leutbecher},
+      year={2024},
+      eprint={2412.15832},
+      archivePrefix={arXiv},
+      primaryClass={physics.ao-ph},
+      url={https://arxiv.org/abs/2412.15832}, 
+}
+
 ```
 
 **APA:**
 
 ```apa
 Lang, S., Leutbecher, M., & Maciel, P. (2025). A multi-scale loss formulation for learning a probabilistic model with proper score optimisation. arXiv preprint arXiv:2506.10868.
+Lang, S., Alexe, M., Clare, M. C., Roberts, C., Adewoyin, R., Bouallègue, Z. B., ... & Leutbecher, M. (2024). AIFS-CRPS: Ensemble forecasting using a model trained with a loss function based on the Continuous Ranked Probability Score. arXiv preprint arXiv:2412.15832.
 
 ```