12 citations as recorded by crossref.

1. An effective gauge-satellite fusion approach for daily precipitation bias correction based on multi-dimensional precipitation feature space (BCFS) G. Shen et al. https://doi.org/10.1016/j.atmosres.2025.108624
2. Correcting dry/wet classification bias in precipitation downscaling via generative adversarial networks S. Singh et al. https://doi.org/10.1017/eds.2026.10039
3. Assessing Streamflow Response to Climate Change Under Shared Socioeconomic Pathways (SSPs) in the Olifants River Basin, South Africa K. Benti et al. https://doi.org/10.3390/hydrology12090244
4. From simulation to sustainability: using forest growth models for indicator-based bioeconomy monitoring M. Pfeiffer et al. https://doi.org/10.1007/s10113-025-02502-w
5. Variations of precipitation days and amount across the Qilian Mountains, northeastern Tibetan Plateau during 1979–2024 and climatic drivers X. Wang et al. https://doi.org/10.1080/04353676.2026.2697397
6. START: A Hybrid Spatio-Temporal Attention ResNet Transformer for Explainable Multivariable Meteorological Bias-correction D. Singh et al. https://doi.org/10.1007/s41748-026-01132-4
7. Climate adaptation in the southwest US: The SWPar4.5 parameter set for stochastic weather generators A. Fullhart et al. https://doi.org/10.1038/s41597-025-06102-5
8. An impact-driven framework for climate model evaluation M. Elling et al. https://doi.org/10.1007/s10584-026-04157-w
9. On using dynamical seasonal forecasts to develop management-driven wildland fire outlooks in Alaska C. Borries-Strigle et al. https://doi.org/10.1016/j.cliser.2025.100592
10. Mechanistic insights into West African monsoon precipitation biases in CMIP6 models K. Ayegbusi et al. https://doi.org/10.1088/2752-5295/ae30f5
11. Climate change scenarios across South-Kivu agroecological zones, Eastern D.R. Congo L. Kulimushi et al. https://doi.org/10.1038/s41598-026-50143-8
12. The importance of artificial intelligence-based methods in precipitation modeling studies: a bibliometric analysis O. Aydin & H. Kilar https://doi.org/10.1007/s00704-025-05837-w