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
Viewed
Total article views: 3,450 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Mar 2018)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,201 | 1,145 | 104 | 3,450 | 197 | 101 | 102 |
- HTML: 2,201
- PDF: 1,145
- XML: 104
- Total: 3,450
- Supplement: 197
- BibTeX: 101
- EndNote: 102
Total article views: 2,668 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 11 Oct 2018)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,800 | 778 | 90 | 2,668 | 197 | 88 | 89 |
- HTML: 1,800
- PDF: 778
- XML: 90
- Total: 2,668
- Supplement: 197
- BibTeX: 88
- EndNote: 89
Total article views: 782 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Mar 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 401 | 367 | 14 | 782 | 13 | 13 |
- HTML: 401
- PDF: 367
- XML: 14
- Total: 782
- BibTeX: 13
- EndNote: 13
Viewed (geographical distribution)
Total article views: 3,450 (including HTML, PDF, and XML)
Thereof 3,216 with geography defined
and 234 with unknown origin.
Total article views: 2,668 (including HTML, PDF, and XML)
Thereof 2,456 with geography defined
and 212 with unknown origin.
Total article views: 782 (including HTML, PDF, and XML)
Thereof 760 with geography defined
and 22 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
22 citations as recorded by crossref.
- Spatial patterns of snow distribution in the sub-Arctic K. Bennett et al. 10.5194/tc-16-3269-2022
- 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
- Global Irrigation Characteristics and Effects Simulated by Fully Coupled Land Surface, River, and Water Management Models in E3SM T. Zhou et al. 10.1029/2020MS002069
- Earth system models for regional environmental management of red tide: Prospects and limitations of current generation models and next generation development A. Elshall et al. 10.1007/s12665-022-10343-7
- Development of inter-grid-cell lateral unsaturated and saturated flow model in the E3SM Land Model (v2.0) H. Qiu et al. 10.5194/gmd-17-143-2024
- Representing Intercell Lateral Groundwater Flow and Aquifer Pumping in the Community Land Model F. Felfelani et al. 10.1029/2020WR027531
- Peak Runoff Timing Is Linked to Global Warming Trajectories D. Xu et al. 10.1029/2021EF002083
- 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
- A parameterization of sub-grid topographical effects on solar radiation in the E3SM Land Model (version 1.0): implementation and evaluation over the Tibetan Plateau D. Hao et al. 10.5194/gmd-14-6273-2021
- 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
- Global Sensitivity Analysis Using the Ultra‐Low Resolution Energy Exascale Earth System Model I. Tezaur et al. 10.1029/2021MS002831
21 citations as recorded by crossref.
- Spatial patterns of snow distribution in the sub-Arctic K. Bennett et al. 10.5194/tc-16-3269-2022
- 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
- Global Irrigation Characteristics and Effects Simulated by Fully Coupled Land Surface, River, and Water Management Models in E3SM T. Zhou et al. 10.1029/2020MS002069
- Earth system models for regional environmental management of red tide: Prospects and limitations of current generation models and next generation development A. Elshall et al. 10.1007/s12665-022-10343-7
- Development of inter-grid-cell lateral unsaturated and saturated flow model in the E3SM Land Model (v2.0) H. Qiu et al. 10.5194/gmd-17-143-2024
- Representing Intercell Lateral Groundwater Flow and Aquifer Pumping in the Community Land Model F. Felfelani et al. 10.1029/2020WR027531
- Peak Runoff Timing Is Linked to Global Warming Trajectories D. Xu et al. 10.1029/2021EF002083
- 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
- A parameterization of sub-grid topographical effects on solar radiation in the E3SM Land Model (version 1.0): implementation and evaluation over the Tibetan Plateau D. Hao et al. 10.5194/gmd-14-6273-2021
- 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: 22 Nov 2024
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...
