11 citations as recorded by crossref.

1. Characterizing biases in accuracy comparison of multiple snow products by error decomposition over the Tibetan Plateau Z. Zhu et al. https://doi.org/10.1016/j.jhydrol.2025.134232
2. Global 0.25-degree gridded Snow water equivalent data derived from machine learning using in-situ measurements J. Seo et al. https://doi.org/10.1038/s41597-026-06895-z
3. High-resolution snow water equivalent estimation: a data-driven method for localized downscaling of climate data F. Zakeri et al. https://doi.org/10.5194/hess-29-6935-2025
4. Assessing the impact of meteorological forcing and its uncertainty on snow modeling and reanalysis H. Sun & S. Margulis https://doi.org/10.5194/tc-20-3345-2026
5. High-resolution models better simulate historical snowpack declines in the Upper Colorado River Basin A. Dixit et al. https://doi.org/10.1088/1748-9326/ae4113
6. Combining Causal Inference with Machine Learning for Reconstructing Mountain Snow Water Equivalent Data Z. Ouyang et al. https://doi.org/10.3390/w18101243
7. Climate change-resilient snowpack estimation in the Western United States M. Cowherd et al. https://doi.org/10.1038/s43247-024-01496-3
8. Brief communication: Reanalyses underperform in cold regions, raising concerns for climate services and research B. Cao & S. Gruber https://doi.org/10.5194/tc-19-4525-2025
9. Evaluation of the Snow Climate Change Initiative (Snow CCI) snow-covered area product within a mountain snow water equivalent reanalysis H. Sun et al. https://doi.org/10.5194/tc-19-2017-2025
10. Snow-eater heat waves of the western United States A. Rhoades et al. https://doi.org/10.1126/sciadv.aeb3361
11. Improved modelling of mountain snowpacks with spatially distributed precipitation bias correction derived from historical reanalysis M. von Kaenel & S. Margulis https://doi.org/10.5194/tc-19-3309-2025