15 citations as recorded by crossref.

1. Water accounting under climate change in the transboundary Volta River Basin with a spatially calibrated hydrological model M. Dembélé et al. https://doi.org/10.1016/j.jhydrol.2023.130092
2. Spatial Patterns in Actual Evapotranspiration Climatologies for Europe S. Stisen et al. https://doi.org/10.3390/rs13122410
3. Contribution of changes in vegetation composition and climate variability on streamflow across the global watersheds X. Tan et al. https://doi.org/10.1016/j.catena.2023.107394
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5. Averaging over spatiotemporal heterogeneity substantially biases evapotranspiration rates in a mechanistic large-scale land evaporation model E. Rouholahnejad Freund et al. https://doi.org/10.5194/hess-24-5015-2020
6. SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US N. Vergopolan et al. https://doi.org/10.1038/s41597-021-01050-2
7. Evapotranspiration estimates for two tropical mountain forest using high spatial resolution satellite data P. Núñez et al. https://doi.org/10.1080/01431161.2020.1864058
8. Attribution of Evapotranspiration Variation in the Yellow River Basin with a Simplified Water–Energy Partitioning Method Based on Multi-Source Datasets D. Wang et al. https://doi.org/10.3390/rs18091429
9. Precipitation changes and its interaction with terrestrial water storage determine water yield variability in the world's water towers T. Ning et al. https://doi.org/10.1016/j.scitotenv.2023.163285
10. Altitudinal gradient patterns and community assembly mechanisms of birds in the eastern Kunlun Mountains, Qinghai-Tibet Plateau, China C. Tian et al. https://doi.org/10.1016/j.avrs.2026.100437
11. High‐Resolution Soil Moisture Data Reveal Complex Multi‐Scale Spatial Variability Across the United States N. Vergopolan et al. https://doi.org/10.1029/2022GL098586
12. Predicted suitable habitat distribution of major Larix species in the Northern Hemisphere under climate change scenarios S. Wang et al. https://doi.org/10.1088/1748-9326/ae2a54
13. Relationships among forest type, watershed characteristics, and watershed ET in rural basins of the Southeastern US S. Younger et al. https://doi.org/10.1016/j.jhydrol.2020.125316
14. Estimating water balance in a Brazilian semiarid watershed using different spatial data A. Kolling Neto et al. https://doi.org/10.1016/j.jsames.2024.104930
15. Improving regional low-flow modeling in ungauged French catchments using the SMASH platform: A comparative assessment of grid-based parsimonious GR hydrological models and ANN-based regionalization strategies T. de Fournas et al. https://doi.org/10.1016/j.ejrh.2026.103629