32 citations as recorded by crossref.

1. The introspective may achieve more: Enhancing existing Geoscientific models with native-language emulated structural reflection X. Ji & C. Shen https://doi.org/10.1016/j.cageo.2017.09.014
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6. A Multiscale Deep Learning Model for Soil Moisture Integrating Satellite and In Situ Data J. Liu et al. https://doi.org/10.1029/2021GL096847
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8. Disaggregating Soil Moisture to Finer Spatial Resolutions: A Comparison of Alternatives H. Ajami & A. Sharma https://doi.org/10.1029/2018WR022575
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12. Scaling impacts on environmental controls and spatial heterogeneity of soil organic carbon stocks U. Mishra & W. Riley https://doi.org/10.5194/bg-12-3993-2015
13. Seasonal and Interannual Patterns and Controls of Hydrological Fluxes in an Amazon Floodplain Lake With a Surface‐Subsurface Process Model X. Ji et al. https://doi.org/10.1029/2018WR023897
14. Quantifying the integrated water and carbon cycle in a data-limited karst basin using a process-based hydrologic model H. Qiu et al. https://doi.org/10.1007/s12665-019-8324-y
15. Interannual Variation in Hydrologic Budgets in an Amazonian Watershed with a Coupled Subsurface–Land Surface Process Model J. Niu et al. https://doi.org/10.1175/JHM-D-17-0108.1
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18. Combining a land surface model with groundwater model calibration to assess the impacts of groundwater pumping in a mountainous desert basin K. Fang et al. https://doi.org/10.1016/j.advwatres.2019.05.008
19. A Hybrid Reduced‐Order Model of Fine‐Resolution Hydrologic Simulations at a Polygonal Tundra Site Y. Liu et al. https://doi.org/10.2136/vzj2015.05.0068
20. Soil Moisture for Hydrological Applications: Open Questions and New Opportunities L. Brocca et al. https://doi.org/10.3390/w9020140
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22. Streamflow, stomata, and soil pits: Sources of inference for complex models with fast, robust uncertainty quantification M. Dwelle et al. https://doi.org/10.1016/j.advwatres.2019.01.002
23. A New Soil Moisture Downscaling Approach for SMAP, SMOS, and ASCAT by Predicting Sub-Grid Variability C. Montzka et al. https://doi.org/10.3390/rs10030427
24. Virtual laboratory for understanding impact of heterogeneity on ecohydrologic processes across scales K. Wang & P. Kumar https://doi.org/10.1016/j.envsoft.2021.105283
25. Hierarchical sensitivity analysis for a large-scale process-based hydrological model applied to an Amazonian watershed H. Liu et al. https://doi.org/10.5194/hess-24-4971-2020
26. Variability of flow discharge in lateral inflow-dominated stream channels C. Chang & H. Yeh https://doi.org/10.5194/hess-19-2505-2015
27. Size Distributions of Arctic Waterbodies Reveal Consistent Relations in Their Statistical Moments in Space and Time S. Muster et al. https://doi.org/10.3389/feart.2019.00005
28. Modeling the Arctic freshwater system and its integration in the global system: Lessons learned and future challenges C. Lique et al. https://doi.org/10.1002/2015JG003120
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