Articles | Volume 11, issue 10
https://doi.org/10.5194/gmd-11-4085-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-4085-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
11 Oct 2018
Model description paper |
| 11 Oct 2018
| 11 Oct 2018
Development and evaluation of a variably saturated flow model in the global E3SM Land Model (ELM) version 1.0
Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory,
1 Cyclotron Road, Berkeley, CA 94720, USA
William J. Riley
Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory,
1 Cyclotron Road, Berkeley, CA 94720, USA
Glenn E. Hammond
Applied Systems Analysis and Research Department, Sandia National Laboratories, Albuquerque, NM 87185-0747, USA
David M. Lorenzetti
Sustainable Energy Systems Group, Lawrence Berkeley National Laboratory,
1 Cyclotron Road, Berkeley, CA 94720, USA
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- HyPix: 1D physically based hydrological model with novel adaptive time-stepping management and smoothing dynamic criterion for controlling Newton–Raphson step J. Pollacco et al. 10.1016/j.envsoft.2022.105386
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- Representing Intercell Lateral Groundwater Flow and Aquifer Pumping in the Community Land Model F. Felfelani et al. 10.1029/2020WR027531
- Do land models miss key soil hydrological processes controlling soil moisture memory? M. Farmani et al. 10.5194/hess-29-547-2025
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- Development and Verification of a Numerical Library for Solving Global Terrestrial Multiphysics Problems G. Bisht & W. Riley 10.1029/2018MS001560
- Hydraulically‐vulnerable trees survive on deep‐water access during droughts in a tropical forest R. Chitra‐Tarak et al. 10.1111/nph.17464
- The DOE E3SM v1.1 Biogeochemistry Configuration: Description and Simulated Ecosystem‐Climate Responses to Historical Changes in Forcing S. Burrows et al. 10.1029/2019MS001766
- Development of Land‐River Two‐Way Hydrologic Coupling for Floodplain Inundation in the Energy Exascale Earth System Model D. Xu et al. 10.1029/2021MS002772
- Ice-shelf freshwater triggers for the Filchner–Ronne Ice Shelf melt tipping point in a global ocean–sea-ice model M. Hoffman et al. 10.5194/tc-18-2917-2024
- An Introduction to the E3SM Special Collection: Goals, Science Drivers, Development, and Analysis L. Leung et al. 10.1029/2019MS001821
- New Representation of Plant Hydraulics Improves the Estimates of Transpiration in Land Surface Model H. Li et al. 10.3390/f12060722
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- Impacts of Sub‐Grid Topographic Representations on Surface Energy Balance and Boundary Conditions in the E3SM Land Model: A Case Study in Sierra Nevada D. Hao et al. 10.1029/2021MS002862
- Impact of the numerical solution approach of a plant hydrodynamic model (v0.1) on vegetation dynamics Y. Fang et al. 10.5194/gmd-15-6385-2022
- On the Precipitation‐Induced Uncertainties in Process‐Based Hydrological Modeling in the Mekong River Basin T. Kabir et al. 10.1029/2021WR030828
- Disentangling the hydrological and hydraulic controls on streamflow variability in Energy Exascale Earth System Model (E3SM) V2 – a case study in the Pantanal region D. Xu et al. 10.5194/gmd-17-1197-2024
- Using a surrogate-assisted Bayesian framework to calibrate the runoff-generation scheme in the Energy Exascale Earth System Model (E3SM) v1 D. Xu et al. 10.5194/gmd-15-5021-2022
- Spatial heterogeneity effects on land surface modeling of water and energy partitioning L. Li et al. 10.5194/gmd-15-5489-2022
1 citations as recorded by crossref.
Latest update: 21 Jun 2025
Short summary
Most existing global land surface models used to study impacts of climate change on water resources routinely use different models for near-surface unsaturated soil and the deeper groundwater table. We developed a model that uses a unified treatment of soil hydrologic processes throughout the entire soil column. Using a calibrated drainage parameter, the new model is able to correctly predict deep water table depth as reported in an observationally constrained global dataset.
Most existing global land surface models used to study impacts of climate change on water...
