Articles | Volume 18, issue 7
https://doi.org/10.5194/hess-18-2463-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-18-2463-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
03 Jul 2014
Research article |
| 03 Jul 2014
Characterizing coarse-resolution watershed soil moisture heterogeneity using fine-scale simulations
W. J. Riley
Earth Systems Division, Climate and Carbon Department, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA 16802, USA
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34 citations as recorded by crossref.
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31 citations as recorded by crossref.
- The introspective may achieve more: Enhancing existing Geoscientific models with native-language emulated structural reflection X. Ji & C. Shen 10.1016/j.cageo.2017.09.014
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- Quantifying the space – time variability of water balance components in an agricultural basin using a process-based hydrologic model and the Budyko framework H. Qiu et al. 10.1016/j.scitotenv.2019.04.147
- A Multiscale Deep Learning Model for Soil Moisture Integrating Satellite and In Situ Data J. Liu et al. 10.1029/2021GL096847
- Development of a computationally efficient semi-distributed hydrologic modeling application for soil moisture, lateral flow and runoff simulation H. Ajami et al. 10.1016/j.envsoft.2016.09.002
- Disaggregating Soil Moisture to Finer Spatial Resolutions: A Comparison of Alternatives H. Ajami & A. Sharma 10.1029/2018WR022575
- Improving the representation of hydrologic processes in Earth System Models M. Clark et al. 10.1002/2015WR017096
- Coupling a three-dimensional subsurface flow and transport model with a land surface model to simulate stream–aquifer–land interactions (CP v1.0) G. Bisht et al. 10.5194/gmd-10-4539-2017
- Remotely Sensed Soil Moisture Assimilation in the Distributed Hydrological Model Based on the Error Subspace Transform Kalman Filter Y. Li et al. 10.3390/rs15071852
- Scaling impacts on environmental controls and spatial heterogeneity of soil organic carbon stocks U. Mishra & W. Riley 10.5194/bg-12-3993-2015
- Seasonal and Interannual Patterns and Controls of Hydrological Fluxes in an Amazon Floodplain Lake With a Surface‐Subsurface Process Model X. Ji et al. 10.1029/2018WR023897
- Quantifying the integrated water and carbon cycle in a data-limited karst basin using a process-based hydrologic model H. Qiu et al. 10.1007/s12665-019-8324-y
- Interannual Variation in Hydrologic Budgets in an Amazonian Watershed with a Coupled Subsurface–Land Surface Process Model J. Niu et al. 10.1175/JHM-D-17-0108.1
- 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. 10.5194/gmd-7-2091-2014
- The fan of influence of streams and channel feedbacks to simulated land surface water and carbon dynamics C. Shen et al. 10.1002/2015WR018086
- 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. 10.1016/j.advwatres.2019.05.008
- A Hybrid Reduced‐Order Model of Fine‐Resolution Hydrologic Simulations at a Polygonal Tundra Site Y. Liu et al. 10.2136/vzj2015.05.0068
- Soil Moisture for Hydrological Applications: Open Questions and New Opportunities L. Brocca et al. 10.3390/w9020140
- Importance and strength of environmental controllers of soil organic carbon changes with scale K. Adhikari et al. 10.1016/j.geoderma.2020.114472
- Streamflow, stomata, and soil pits: Sources of inference for complex models with fast, robust uncertainty quantification M. Dwelle et al. 10.1016/j.advwatres.2019.01.002
- A New Soil Moisture Downscaling Approach for SMAP, SMOS, and ASCAT by Predicting Sub-Grid Variability C. Montzka et al. 10.3390/rs10030427
- Virtual laboratory for understanding impact of heterogeneity on ecohydrologic processes across scales K. Wang & P. Kumar 10.1016/j.envsoft.2021.105283
- Hierarchical sensitivity analysis for a large-scale process-based hydrological model applied to an Amazonian watershed H. Liu et al. 10.5194/hess-24-4971-2020
- Variability of flow discharge in lateral inflow-dominated stream channels C. Chang & H. Yeh 10.5194/hess-19-2505-2015
- Size Distributions of Arctic Waterbodies Reveal Consistent Relations in Their Statistical Moments in Space and Time S. Muster et al. 10.3389/feart.2019.00005
- Modeling the Arctic freshwater system and its integration in the global system: Lessons learned and future challenges C. Lique et al. 10.1002/2015JG003120
- A hybrid‐3D hillslope hydrological model for use in Earth system models P. Hazenberg et al. 10.1002/2014WR016842
- Temporal evolution of soil moisture statistical fractal and controls by soil texture and regional groundwater flow X. Ji et al. 10.1016/j.advwatres.2015.09.027
- Effects of meteorological forcings and land surface model on soil moisture simulation over China J. Zeng et al. 10.1016/j.jhydrol.2021.126978
- Mineral properties, microbes, transport, and plant-input profiles control vertical distribution and age of soil carbon stocks D. Dwivedi et al. 10.1016/j.soilbio.2016.12.019
3 citations as recorded by crossref.
- Accurate and efficient prediction of fine‐resolution hydrologic and carbon dynamic simulations from coarse‐resolution models G. Pau et al. 10.1002/2015WR017782
- Sustaining Water Resources: Environmental and Economic Impact S. Alexandratos et al. 10.1021/acssuschemeng.8b05859
- Long residence times of rapidly decomposable soil organic matter: application of a multi-phase, multi-component, and vertically resolved model (BAMS1) to soil carbon dynamics W. Riley et al. 10.5194/gmd-7-1335-2014
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