15 citations as recorded by crossref.

1. Extreme Precipitation and Flood Estimation Using Large Ensemble Climate Model Outputs: A Review T. Tanaka et al. https://doi.org/10.1061/JHYEFF.HEENG-6665
2. Recent south-central Andes water crisis driven by Antarctic amplification is unprecedented over the last eight centuries S. Wang et al. https://doi.org/10.1038/s43247-025-02858-1
3. Climate change impact on hydrological droughts: Differences between two ensembles of regional climate projections across Great Britain R. Lane et al. https://doi.org/10.1016/j.ejrh.2026.103417
4. CLIMB: Framework for CLIMate data bias-adjustment and downscaling J. Śledziowski et al. https://doi.org/10.1016/j.softx.2025.102479
5. Environmental Justice in the Anthropocene: A Review of Methodological Biases in Impact Assessment Studies E. Johansson et al. https://doi.org/10.51847/1AwvA6oawO
6. Climate-driven reduction in biomass production of the Eurasian steppe coincides with nomadic migration during the first millennium CE F. Chen et al. https://doi.org/10.1073/pnas.2513573123
7. Near-term climate extremes in Iran based on compound hazards analysis N. Asadi-RahimBeygi et al. https://doi.org/10.1038/s41598-025-29026-x
8. Research on Meteorological Drought Risk Prediction in the Daqing River Basin Based on HADGEM3-RA M. Lv & Z. Wang https://doi.org/10.3390/agriculture14101781
9. Enhancing long-lead rainfall forecasting in data-scarce large watersheds using multi-model fusion A. Tadayon et al. https://doi.org/10.1016/j.ejrh.2025.102936
10. Correlated spatiotemporal downscaling of Euro‐CORDEX climatic data for infrastructure resilience assessment A. Chatzidaki et al. https://doi.org/10.1002/joc.8529
11. Learning predictable and informative dynamical drivers of extreme precipitation using variational autoencoders F. Spuler et al. https://doi.org/10.5194/wcd-6-995-2025
12. Multidisciplinary assessment of the impact of temperature rise and headwind on aircraft take-off performance S. Salles et al. https://doi.org/10.1007/s10584-025-04016-0
13. A Bias-Corrected HighResMIP Dataset for Impact Assessment Studies F. Yakubu et al. https://doi.org/10.1038/s41597-026-07709-y
14. State of Wildfires 2023–2024 M. Jones et al. https://doi.org/10.5194/essd-16-3601-2024
15. Hydrologically relevant bias correction of GPM-IMERG: Performance across quantiles in upland tropical watershed E. Suhartanto et al. https://doi.org/10.1016/j.rineng.2026.110760