Articles | Volume 24, issue 7
https://doi.org/10.5194/hess-24-3753-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-3753-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Jul 2020
Research article |
| 24 Jul 2020
| 24 Jul 2020
Weak sensitivity of the terrestrial water budget to global soil texture maps in the ORCHIDEE land surface model
Salma Tafasca
CORRESPONDING AUTHOR
METIS (Milieux Environnementaux, Transferts et Interactions dans les Hydrosystèmes et les Sols), Institut Pierre Simon Laplace (IPSL), Sorbonne Université, CNRS, EPHE, Paris, France
Agnès Ducharne
METIS (Milieux Environnementaux, Transferts et Interactions dans les Hydrosystèmes et les Sols), Institut Pierre Simon Laplace (IPSL), Sorbonne Université, CNRS, EPHE, Paris, France
Christian Valentin
iEES-Paris (Institut d'Ecologie et des Sciences de l'Environnement de Paris), Sorbonne Université, CNRS, INRA, IRD, Paris, France
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Cited
21 citations as recorded by crossref.
- Relative importance of uncertain model parameters driving water fluxes in a land surface model A. Dell’Oca et al. https://doi.org/10.1016/j.jhydrol.2025.134310
- Assessing the use of digital soil maps in hydrological modeling for soil-water budget simulations - implications for water management plans in southern Portugal A. Horta et al. https://doi.org/10.1016/j.geodrs.2023.e00741
- Local and Non‐Local Biophysical Impacts of Deforestation on Global Temperature During Boreal Summer: CMIP6‐LUMIP Multimodel Analysis S. Liu et al. https://doi.org/10.1029/2022JD038229
- Soil parameterization in land surface models drives large discrepancies in soil moisture predictions across hydrologically complex regions of the contiguous United States K. Silwimba et al. https://doi.org/10.5194/gmd-18-7707-2025
- Influence of Hillslope Flow on Hydroclimatic Evolution Under Climate Change P. Arboleda Obando et al. https://doi.org/10.1029/2021EF002613
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- Assessing water and energy fluxes in a regional hydrosystem: case study of the Seine basin D. Kilic et al. https://doi.org/10.5802/crgeos.165
- Validation of a new global irrigation scheme in the land surface model ORCHIDEE v2.2 P. Arboleda-Obando et al. https://doi.org/10.5194/gmd-17-2141-2024
- The Cretaceous physiological adaptation of angiosperms to a declining pCO2: a modeling approach emulating paleo-traits J. Bres et al. https://doi.org/10.5194/bg-18-5729-2021
- On the runoff validation of ‘Global BROOK90‘ automatic modeling framework I. Vorobevskii et al. https://doi.org/10.2166/nh.2021.150
- Hydro-pedotransfer functions: a roadmap for future development T. Weber et al. https://doi.org/10.5194/hess-28-3391-2024
- High-resolution land surface modelling over Africa: the role of uncertain soil properties in combination with forcing temporal resolution B. Oloruntoba et al. https://doi.org/10.5194/hess-29-1659-2025
- Effects of different climatic conditions on soil water storage patterns A. Ehrhardt et al. https://doi.org/10.5194/hess-29-313-2025
- Budyko Framework Based Analysis of the Effect of Climate Change on Watershed Evaporation Efficiency and Its Impact on Discharge Over Europe J. Collignan et al. https://doi.org/10.1029/2023WR034509
- Low sensitivity of three terrestrial biosphere models to soil texture over the South American tropics F. Meunier et al. https://doi.org/10.5194/gmd-15-7573-2022
- Evaluating the vegetation–atmosphere coupling strength of ORCHIDEE land surface model (v7266) Y. Zhang et al. https://doi.org/10.5194/gmd-15-9111-2022
- Improving soil moisture simulation by optimizing soil texture profiles with a micro-genetic algorithm S. Lim et al. https://doi.org/10.1016/j.envsoft.2025.106754
- Understanding the Information Content in the Hierarchy of Model Development Decisions: Learning From Data S. Gharari et al. https://doi.org/10.1029/2020WR027948
- On the Uncertainty Induced by Pedotransfer Functions in Terrestrial Biosphere Modeling A. Paschalis et al. https://doi.org/10.1029/2021WR031871
- Multivariable evaluation of land surface processes in forced and coupled modes reveals new error sources to the simulated water cycle in the IPSL (Institute Pierre Simon Laplace) climate model H. Mizuochi et al. https://doi.org/10.5194/hess-25-2199-2021
- Multi-objective calibration and evaluation of the ORCHIDEE land surface model over France at high resolution P. Huang et al. https://doi.org/10.5194/hess-28-4455-2024
21 citations as recorded by crossref.
- Relative importance of uncertain model parameters driving water fluxes in a land surface model A. Dell’Oca et al. https://doi.org/10.1016/j.jhydrol.2025.134310
- Assessing the use of digital soil maps in hydrological modeling for soil-water budget simulations - implications for water management plans in southern Portugal A. Horta et al. https://doi.org/10.1016/j.geodrs.2023.e00741
- Local and Non‐Local Biophysical Impacts of Deforestation on Global Temperature During Boreal Summer: CMIP6‐LUMIP Multimodel Analysis S. Liu et al. https://doi.org/10.1029/2022JD038229
- Soil parameterization in land surface models drives large discrepancies in soil moisture predictions across hydrologically complex regions of the contiguous United States K. Silwimba et al. https://doi.org/10.5194/gmd-18-7707-2025
- Influence of Hillslope Flow on Hydroclimatic Evolution Under Climate Change P. Arboleda Obando et al. https://doi.org/10.1029/2021EF002613
- Joint evolution of irrigation, the water cycle and water resources under a strong climate change scenario from 1950 to 2100 in the IPSL-CM6 P. Arboleda-Obando et al. https://doi.org/10.5194/esd-16-2201-2025
- Assessing water and energy fluxes in a regional hydrosystem: case study of the Seine basin D. Kilic et al. https://doi.org/10.5802/crgeos.165
- Validation of a new global irrigation scheme in the land surface model ORCHIDEE v2.2 P. Arboleda-Obando et al. https://doi.org/10.5194/gmd-17-2141-2024
- The Cretaceous physiological adaptation of angiosperms to a declining pCO2: a modeling approach emulating paleo-traits J. Bres et al. https://doi.org/10.5194/bg-18-5729-2021
- On the runoff validation of ‘Global BROOK90‘ automatic modeling framework I. Vorobevskii et al. https://doi.org/10.2166/nh.2021.150
- Hydro-pedotransfer functions: a roadmap for future development T. Weber et al. https://doi.org/10.5194/hess-28-3391-2024
- High-resolution land surface modelling over Africa: the role of uncertain soil properties in combination with forcing temporal resolution B. Oloruntoba et al. https://doi.org/10.5194/hess-29-1659-2025
- Effects of different climatic conditions on soil water storage patterns A. Ehrhardt et al. https://doi.org/10.5194/hess-29-313-2025
- Budyko Framework Based Analysis of the Effect of Climate Change on Watershed Evaporation Efficiency and Its Impact on Discharge Over Europe J. Collignan et al. https://doi.org/10.1029/2023WR034509
- Low sensitivity of three terrestrial biosphere models to soil texture over the South American tropics F. Meunier et al. https://doi.org/10.5194/gmd-15-7573-2022
- Evaluating the vegetation–atmosphere coupling strength of ORCHIDEE land surface model (v7266) Y. Zhang et al. https://doi.org/10.5194/gmd-15-9111-2022
- Improving soil moisture simulation by optimizing soil texture profiles with a micro-genetic algorithm S. Lim et al. https://doi.org/10.1016/j.envsoft.2025.106754
- Understanding the Information Content in the Hierarchy of Model Development Decisions: Learning From Data S. Gharari et al. https://doi.org/10.1029/2020WR027948
- On the Uncertainty Induced by Pedotransfer Functions in Terrestrial Biosphere Modeling A. Paschalis et al. https://doi.org/10.1029/2021WR031871
- Multivariable evaluation of land surface processes in forced and coupled modes reveals new error sources to the simulated water cycle in the IPSL (Institute Pierre Simon Laplace) climate model H. Mizuochi et al. https://doi.org/10.5194/hess-25-2199-2021
- Multi-objective calibration and evaluation of the ORCHIDEE land surface model over France at high resolution P. Huang et al. https://doi.org/10.5194/hess-28-4455-2024
Saved (final revised paper)
Latest update: 03 Oct 2026
Short summary
In land surface models (LSMs), soil properties are inferred from soil texture. In this study, we use different input global soil texture maps from the literature to investigate the impact of soil texture on the simulated water budget in an LSM. The medium loamy textures give the highest evapotranspiration and lowest total runoff rates. However, the different soil texture maps result in similar water budgets because of their inherent similarities, especially when upscaled at the 0.5° resolution.
In land surface models (LSMs), soil properties are inferred from soil texture. In this study, we...
