30 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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10. Remotely Sensed Soil Moisture Assimilation in the Distributed Hydrological Model Based on the Error Subspace Transform Kalman Filter Y. Li et al. https://doi.org/10.3390/rs15071852
11. 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
12. 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
13. 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
14. A reduced-order modeling approach to represent subgrid-scale hydrological dynamics for land-surface simulations: application in a polygonal tundra landscape G. Pau et al. https://doi.org/10.5194/gmd-7-2091-2014
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16. 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
17. 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
18. Soil Moisture for Hydrological Applications: Open Questions and New Opportunities L. Brocca et al. https://doi.org/10.3390/w9020140
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20. 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
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23. 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
24. Variability of flow discharge in lateral inflow-dominated stream channels C. Chang & H. Yeh https://doi.org/10.5194/hess-19-2505-2015
25. 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
26. 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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