Articles | Volume 15, issue 6
https://doi.org/10.5194/gmd-15-2619-2022
© Author(s) 2022. 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-15-2619-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
31 Mar 2022
Model description paper |
| 31 Mar 2022
| 31 Mar 2022
Tree hydrodynamic modelling of the soil–plant–atmosphere continuum using FETCH3
Marcela Silva
CORRESPONDING AUTHOR
Department of Civil Engineering, Monash University, Clayton, VIC, Australia
Ashley M. Matheny
Department of Geological Sciences, Jackson School of Geosciences, University of Texas at Austin, Austin, TX, USA
Valentijn R. N. Pauwels
Department of Civil Engineering, Monash University, Clayton, VIC, Australia
Dimetre Triadis
Department of Mathematics and Statistics, La Trobe University, Bundoora, VIC, Australia
Institute of Mathematics for Industry, Kyushu University, Fukuoka, Japan
Justine E. Missik
Department of Civil, Environmental and Geodetic Engineering, Ohio State University, Columbus, OH, USA
Gil Bohrer
Department of Civil, Environmental and Geodetic Engineering, Ohio State University, Columbus, OH, USA
Department of Civil Engineering, Monash University, Clayton, VIC, Australia
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Cited
15 citations as recorded by crossref.
- Parameterizing Vegetation Traits With a Process‐Based Ecohydrological Model and Xylem Water Isotopic Observations K. Li et al.
- Revealing seasonal plasticity of whole-plant hydraulic properties using sap-flow and stem water-potential monitoring Z. Zhang et al.
- The interplay between hydraulic capacitance and stomatal regulation strategy affects soil–plant hydraulics and transpiration S. Martinetti et al.
- The Ecosystem as Super-Organ/ism, Revisited: Scaling Hydraulics to Forests under Climate Change J. Wood et al.
- Ecohydrological response to deep soil desiccation in a semiarid apple orchard S. Wang et al.
- Bayesian Optimization for Anything (BOA): An open-source framework for accessible, user-friendly Bayesian optimization M. Scyphers et al.
- Photosynthetic response to deep soil water deficit in a semiarid apple tree plantation M. Yang et al.
- Tree root-soil interaction: field study of the effect of trees on soil moisture and ground movement in an urban environment X. Sun & J. Li
- Multi-source data fusion for estimating potato transpiration under water stress using machine learning models Y. Li et al.
- Exploring the impacts of unprecedented climate extremes on forest ecosystems: hypotheses to guide modeling and experimental studies J. Holm et al.
- Tree water uptake patterns across the globe C. Bachofen et al.
- Development of a multi-layer canopy model for E3SM Land Model with support for heterogeneous computing G. Bisht et al.
- Constraining Plant Hydraulics With Microwave Radiometry in a Land Surface Model: Impacts of Temporal Resolution N. Holtzman et al.
- A component-based modular treatment of the soil–plant–atmosphere continuum: the GEOSPACE framework (v.1.2.9) C. D'Amato et al.
- Explainable Machine Learning Reveals Persistent Carbon Sink in Xishuangbanna Tropical Forests Under Future Climate Scenarios C. Zhang et al.
15 citations as recorded by crossref.
- Parameterizing Vegetation Traits With a Process‐Based Ecohydrological Model and Xylem Water Isotopic Observations K. Li et al.
- Revealing seasonal plasticity of whole-plant hydraulic properties using sap-flow and stem water-potential monitoring Z. Zhang et al.
- The interplay between hydraulic capacitance and stomatal regulation strategy affects soil–plant hydraulics and transpiration S. Martinetti et al.
- The Ecosystem as Super-Organ/ism, Revisited: Scaling Hydraulics to Forests under Climate Change J. Wood et al.
- Ecohydrological response to deep soil desiccation in a semiarid apple orchard S. Wang et al.
- Bayesian Optimization for Anything (BOA): An open-source framework for accessible, user-friendly Bayesian optimization M. Scyphers et al.
- Photosynthetic response to deep soil water deficit in a semiarid apple tree plantation M. Yang et al.
- Tree root-soil interaction: field study of the effect of trees on soil moisture and ground movement in an urban environment X. Sun & J. Li
- Multi-source data fusion for estimating potato transpiration under water stress using machine learning models Y. Li et al.
- Exploring the impacts of unprecedented climate extremes on forest ecosystems: hypotheses to guide modeling and experimental studies J. Holm et al.
- Tree water uptake patterns across the globe C. Bachofen et al.
- Development of a multi-layer canopy model for E3SM Land Model with support for heterogeneous computing G. Bisht et al.
- Constraining Plant Hydraulics With Microwave Radiometry in a Land Surface Model: Impacts of Temporal Resolution N. Holtzman et al.
- A component-based modular treatment of the soil–plant–atmosphere continuum: the GEOSPACE framework (v.1.2.9) C. D'Amato et al.
- Explainable Machine Learning Reveals Persistent Carbon Sink in Xishuangbanna Tropical Forests Under Future Climate Scenarios C. Zhang et al.
Saved (final revised paper)
Latest update: 02 May 2026
Short summary
Our study introduces FETCH3, a ready-to-use, open-access model that simulates the water fluxes across the soil, roots, and stem. To test the model capabilities, we tested it against exact solutions and a case study. The model presented considerably small errors when compared to the exact solutions and was able to correctly represent transpiration patterns when compared to experimental data. The results show that FETCH3 can correctly simulate above- and below-ground water transport.
Our study introduces FETCH3, a ready-to-use, open-access model that simulates the water fluxes...
