Articles | Volume 8, issue 12
https://doi.org/10.5194/gmd-8-3877-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-3877-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
08 Dec 2015
Development and technical paper |
| 08 Dec 2015
Implementation of an optimal stomatal conductance scheme in the Australian Community Climate Earth Systems Simulator (ACCESS1.3b)
J. Kala
CORRESPONDING AUTHOR
Australian Research Council Centre of Excellence for Climate Systems Science and Climate Change Research Centre, University of New South Wales, Sydney, NSW, 2052, Australia
now at: Murdoch University, School of Veterinary and Life Sciences – Environmental and Conservation Sciences, Murdoch, 6150, WA, Australia
M. G. De Kauwe
Macquarie University, Department of Biological Sciences, Sydney, Australia
A. J. Pitman
Australian Research Council Centre of Excellence for Climate Systems Science and Climate Change Research Centre, University of New South Wales, Sydney, NSW, 2052, Australia
R. Lorenz
Australian Research Council Centre of Excellence for Climate Systems Science and Climate Change Research Centre, University of New South Wales, Sydney, NSW, 2052, Australia
B. E. Medlyn
Hawkesbury Institute for the Environment, University of Western Sydney, Sydney, Australia
Y.-P Wang
CSIRO Ocean and Atmosphere Flagship, Aspendale, Victoria 3195, Australia
Y.-S Lin
Hawkesbury Institute for the Environment, University of Western Sydney, Sydney, Australia
G. Abramowitz
Australian Research Council Centre of Excellence for Climate Systems Science and Climate Change Research Centre, University of New South Wales, Sydney, NSW, 2052, Australia
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Cited
25 citations as recorded by crossref.
- Non-stomatal processes are responsible for the decrease in gross primary production of a potato crop during edaphic drought Q. Beauclaire et al. 10.1016/j.agrformet.2023.109782
- Stomatal responses of terrestrial plants to global change X. Liang et al. 10.1038/s41467-023-37934-7
- An individual‐based forest model to jointly simulate carbon and tree diversity in Amazonia: description and applications I. Maréchaux & J. Chave 10.1002/ecm.1271
- Description and validation of the Simple, Efficient, Dynamic, Global, Ecological Simulator (SEDGES v.1.0) P. Paiewonsky & O. Elison Timm 10.5194/gmd-11-861-2018
- Circadian Regulation Does Not Optimize Stomatal Behaviour V. Resco de Dios et al. 10.3390/plants9091091
- Impact of the representation of stomatal conductance on model projections of heatwave intensity J. Kala et al. 10.1038/srep23418
- A Big Root Approximation of Site‐Scale Vegetation Water Uptake M. Bouda 10.1029/2019MS001806
- Modelling water fluxes in plants: from tissues to biosphere M. Mencuccini et al. 10.1111/nph.15681
- Applications of a Thermal-Based Two-Source Energy Balance Model Coupling the Sun-Induced Chlorophyll Fluorescence Data L. Song et al. 10.1109/LGRS.2023.3240996
- How do leaf and ecosystem measures of water‐use efficiency compare? B. Medlyn et al. 10.1111/nph.14626
- Comparing Australian heat waves in the CMIP5 models through cluster analysis P. Gibson et al. 10.1002/2016JD025878
- Climate pattern-scaling set for an ensemble of 22 GCMs – adding uncertainty to the IMOGEN version 2.0 impact system P. Zelazowski et al. 10.5194/gmd-11-541-2018
- One Stomatal Model to Rule Them All? Toward Improved Representation of Carbon and Water Exchange in Global Models M. Sabot et al. 10.1029/2021MS002761
- Improved representations of coupled soil–canopy processes in the CABLE land surface model (Subversion revision 3432) V. Haverd et al. 10.5194/gmd-9-3111-2016
- Remote sensing and modeling fusion for investigating the ecosystem water-carbon coupling processes P. Sun et al. 10.1016/j.scitotenv.2019.134064
- Using remote sensing information to enhance the understanding of the coupling of terrestrial ecosystem evapotranspiration and photosynthesis on a global scale Y. Bai et al. 10.1016/j.jag.2021.102329
- Improved representation of plant physiology in the JULES-vn5.6 land surface model: photosynthesis, stomatal conductance and thermal acclimation R. Oliver et al. 10.5194/gmd-15-5567-2022
- Dynamic effects of root system architecture improve root water uptake in 1-D process-based soil-root hydrodynamics M. Bouda & J. Saiers 10.1016/j.advwatres.2017.10.018
- Applications of a thermal-based two-source energy balance model coupled to surface soil moisture L. Song et al. 10.1016/j.rse.2022.112923
- Comparing optimal and empirical stomatal conductance models for application in Earth system models P. Franks et al. 10.1111/gcb.14445
- Evaluating a land surface model at a water-limited site: implications for land surface contributions to droughts and heatwaves M. Mu et al. 10.5194/hess-25-447-2021
- Evaluation of the CABLEv2.3.4 Land Surface Model Coupled to NU‐WRFv3.9.1.1 in Simulating Temperature and Precipitation Means and Extremes Over CORDEX AustralAsia Within a WRF Physics Ensemble A. Hirsch et al. 10.1029/2019MS001845
- Machine learning and remote sensing-based modeling of the optimal stomatal behavior of crops H. Li et al. 10.1016/j.compag.2022.107261
- Development and evaluation of a new soil moisture and runoff parameterization for the CABLE LSM including subgrid‐scale processes M. Decker 10.1002/2015MS000507
- Woody plants optimise stomatal behaviour relative to hydraulic risk W. Anderegg et al. 10.1111/ele.12962
23 citations as recorded by crossref.
- Non-stomatal processes are responsible for the decrease in gross primary production of a potato crop during edaphic drought Q. Beauclaire et al. 10.1016/j.agrformet.2023.109782
- Stomatal responses of terrestrial plants to global change X. Liang et al. 10.1038/s41467-023-37934-7
- An individual‐based forest model to jointly simulate carbon and tree diversity in Amazonia: description and applications I. Maréchaux & J. Chave 10.1002/ecm.1271
- Description and validation of the Simple, Efficient, Dynamic, Global, Ecological Simulator (SEDGES v.1.0) P. Paiewonsky & O. Elison Timm 10.5194/gmd-11-861-2018
- Circadian Regulation Does Not Optimize Stomatal Behaviour V. Resco de Dios et al. 10.3390/plants9091091
- Impact of the representation of stomatal conductance on model projections of heatwave intensity J. Kala et al. 10.1038/srep23418
- A Big Root Approximation of Site‐Scale Vegetation Water Uptake M. Bouda 10.1029/2019MS001806
- Modelling water fluxes in plants: from tissues to biosphere M. Mencuccini et al. 10.1111/nph.15681
- Applications of a Thermal-Based Two-Source Energy Balance Model Coupling the Sun-Induced Chlorophyll Fluorescence Data L. Song et al. 10.1109/LGRS.2023.3240996
- How do leaf and ecosystem measures of water‐use efficiency compare? B. Medlyn et al. 10.1111/nph.14626
- Comparing Australian heat waves in the CMIP5 models through cluster analysis P. Gibson et al. 10.1002/2016JD025878
- Climate pattern-scaling set for an ensemble of 22 GCMs – adding uncertainty to the IMOGEN version 2.0 impact system P. Zelazowski et al. 10.5194/gmd-11-541-2018
- One Stomatal Model to Rule Them All? Toward Improved Representation of Carbon and Water Exchange in Global Models M. Sabot et al. 10.1029/2021MS002761
- Improved representations of coupled soil–canopy processes in the CABLE land surface model (Subversion revision 3432) V. Haverd et al. 10.5194/gmd-9-3111-2016
- Remote sensing and modeling fusion for investigating the ecosystem water-carbon coupling processes P. Sun et al. 10.1016/j.scitotenv.2019.134064
- Using remote sensing information to enhance the understanding of the coupling of terrestrial ecosystem evapotranspiration and photosynthesis on a global scale Y. Bai et al. 10.1016/j.jag.2021.102329
- Improved representation of plant physiology in the JULES-vn5.6 land surface model: photosynthesis, stomatal conductance and thermal acclimation R. Oliver et al. 10.5194/gmd-15-5567-2022
- Dynamic effects of root system architecture improve root water uptake in 1-D process-based soil-root hydrodynamics M. Bouda & J. Saiers 10.1016/j.advwatres.2017.10.018
- Applications of a thermal-based two-source energy balance model coupled to surface soil moisture L. Song et al. 10.1016/j.rse.2022.112923
- Comparing optimal and empirical stomatal conductance models for application in Earth system models P. Franks et al. 10.1111/gcb.14445
- Evaluating a land surface model at a water-limited site: implications for land surface contributions to droughts and heatwaves M. Mu et al. 10.5194/hess-25-447-2021
- Evaluation of the CABLEv2.3.4 Land Surface Model Coupled to NU‐WRFv3.9.1.1 in Simulating Temperature and Precipitation Means and Extremes Over CORDEX AustralAsia Within a WRF Physics Ensemble A. Hirsch et al. 10.1029/2019MS001845
- Machine learning and remote sensing-based modeling of the optimal stomatal behavior of crops H. Li et al. 10.1016/j.compag.2022.107261
2 citations as recorded by crossref.
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Latest update: 29 Jun 2024
Short summary
We implement a new stomatal conductance scheme within a land surface model coupled to a global climate model. The new model differs from the default in that it allows model parameters to vary by the different plant functional types, derived from global synthesis of observations. We show that the new scheme results in improvements in the model climatology and improves existing biases in warm temperature extremes by up to 10-20% over the boreal forests during summer.
We implement a new stomatal conductance scheme within a land surface model coupled to a global...
