10 citations as recorded by crossref.

1. Assessing multivariate bias corrections of climate simulations on various impact models under climate change D. Allard et al. https://doi.org/10.5194/hess-29-4711-2025
2. Opening Pandora's box: reducing global circulation model uncertainty in Australian simulations of the carbon cycle L. Teckentrup et al. https://doi.org/10.5194/esd-14-549-2023
3. Evaluating kilometre-scale statistical downscaling of daily climate extremes in Ecuador’s complex terrain: performance, limitations and implications for impact studies R. Dobson et al. https://doi.org/10.1088/1748-9326/ae8d3f
4. A temporal stochastic bias correction using a machine learning attention model O. Nivron et al. https://doi.org/10.1017/eds.2024.42
5. Future water resources and droughts in the Atlas Mountains of Morocco under a high-emission climate scenario O. Lahnik et al. https://doi.org/10.1016/j.ejrh.2025.102371
6. Should We Use Quantile-Mapping-Based Methods in a Climate Change Context? A “Perfect Model” Experiment M. Vrac et al. https://doi.org/10.3390/cli13070137
7. Building the scientific basis for the adaptation strategy of an Alpine region: The ‘State of the climate in Trentino’ report A. Napoli et al. https://doi.org/10.1016/j.cliser.2025.100629
8. Bias correction of daily precipitation from climate models, using the Q‐GAM method G. Lazoglou et al. https://doi.org/10.1002/env.2881
9. Distribution-based pooling for combination and multi-model bias correction of climate simulations M. Vrac et al. https://doi.org/10.5194/esd-15-735-2024
10. Impact of bias adjustment strategy on ensemble projections of hydrological extremes P. Astagneau et al. https://doi.org/10.5194/hess-29-5695-2025