11 citations as recorded by crossref.

1. Evapotranspiration estimates for two tropical mountain forest using high spatial resolution satellite data P. Núñez et al. 10.1080/01431161.2020.1864058
2. Precipitation changes and its interaction with terrestrial water storage determine water yield variability in the world's water towers T. Ning et al. 10.1016/j.scitotenv.2023.163285
3. Water accounting under climate change in the transboundary Volta River Basin with a spatially calibrated hydrological model M. Dembélé et al. 10.1016/j.jhydrol.2023.130092
4. High‐Resolution Soil Moisture Data Reveal Complex Multi‐Scale Spatial Variability Across the United States N. Vergopolan et al. 10.1029/2022GL098586
5. Relationships among forest type, watershed characteristics, and watershed ET in rural basins of the Southeastern US S. Younger et al. 10.1016/j.jhydrol.2020.125316
6. Estimating water balance in a Brazilian semiarid watershed using different spatial data A. Kolling Neto et al. 10.1016/j.jsames.2024.104930
7. Spatial Patterns in Actual Evapotranspiration Climatologies for Europe S. Stisen et al. 10.3390/rs13122410
8. Contribution of changes in vegetation composition and climate variability on streamflow across the global watersheds X. Tan et al. 10.1016/j.catena.2023.107394
9. Developing a pan-European high-resolution groundwater recharge map – Combining satellite data and national survey data using machine learning G. Martinsen et al. 10.1016/j.scitotenv.2022.153464
10. Averaging over spatiotemporal heterogeneity substantially biases evapotranspiration rates in a mechanistic large-scale land evaporation model E. Rouholahnejad Freund et al. 10.5194/hess-24-5015-2020
11. SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US N. Vergopolan et al. 10.1038/s41597-021-01050-2