Articles | Volume 8, issue 2
https://doi.org/10.5194/gmd-8-431-2015
https://doi.org/10.5194/gmd-8-431-2015
Development and technical paper
 | 
24 Feb 2015
Development and technical paper |  | 24 Feb 2015

A test of an optimal stomatal conductance scheme within the CABLE land surface model

M. G. De Kauwe, J. Kala, Y.-S. Lin, A. J. Pitman, B. E. Medlyn, R. A. Duursma, G. Abramowitz, Y.-P. Wang, and D. G. Miralles

Related authors

On the predictability of turbulent fluxes from land: PLUMBER2 MIP experimental description and preliminary results
Gab Abramowitz, Anna Ukkola, Sanaa Hobeichi, Jon Cranko Page, Mathew Lipson, Martin De Kauwe, Sam Green, Claire Brenner, Jonathan Frame, Grey Nearing, Martyn Clark, Martin Best, Peter Anthoni, Gabriele Arduini, Souhail Boussetta, Silvia Caldararu, Kyeungwoo Cho, Matthias Cuntz, David Fairbairn, Craig Ferguson, Hyungjun Kim, Yeonjoo Kim, Jürgen Knauer, David Lawrence, Xiangzhong Luo, Sergey Malyshev, Tomoko Nitta, Jerome Ogee, Keith Oleson, Catherine Ottlé, Phillipe Peylin, Patricia de Rosnay, Heather Rumbold, Bob Su, Nicolas Vuichard, Anthony Walker, Xiaoni Wang-Faivre, Yunfei Wang, and Yijian Zeng
EGUsphere, https://doi.org/10.5194/egusphere-2023-3084,https://doi.org/10.5194/egusphere-2023-3084, 2024
Short summary
Opening Pandora's box: reducing global circulation model uncertainty in Australian simulations of the carbon cycle
Lina Teckentrup, Martin G. De Kauwe, Gab Abramowitz, Andrew J. Pitman, Anna M. Ukkola, Sanaa Hobeichi, Bastien François, and Benjamin Smith
Earth Syst. Dynam., 14, 549–576, https://doi.org/10.5194/esd-14-549-2023,https://doi.org/10.5194/esd-14-549-2023, 2023
Short summary
Evaluating the vegetation–atmosphere coupling strength of ORCHIDEE land surface model (v7266)
Yuan Zhang, Devaraju Narayanappa, Philippe Ciais, Wei Li, Daniel Goll, Nicolas Vuichard, Martin G. De Kauwe, Laurent Li, and Fabienne Maignan
Geosci. Model Dev., 15, 9111–9125, https://doi.org/10.5194/gmd-15-9111-2022,https://doi.org/10.5194/gmd-15-9111-2022, 2022
Short summary
Examining the role of environmental memory in the predictability of carbon and water fluxes across Australian ecosystems
Jon Cranko Page, Martin G. De Kauwe, Gab Abramowitz, Jamie Cleverly, Nina Hinko-Najera, Mark J. Hovenden, Yao Liu, Andy J. Pitman, and Kiona Ogle
Biogeosciences, 19, 1913–1932, https://doi.org/10.5194/bg-19-1913-2022,https://doi.org/10.5194/bg-19-1913-2022, 2022
Short summary
A flux tower dataset tailored for land model evaluation
Anna M. Ukkola, Gab Abramowitz, and Martin G. De Kauwe
Earth Syst. Sci. Data, 14, 449–461, https://doi.org/10.5194/essd-14-449-2022,https://doi.org/10.5194/essd-14-449-2022, 2022
Short summary

Related subject area

Climate and Earth system modeling
Interactions between atmospheric composition and climate change – progress in understanding and future opportunities from AerChemMIP, PDRMIP, and RFMIP
Stephanie Fiedler, Vaishali Naik, Fiona M. O'Connor, Christopher J. Smith, Paul Griffiths, Ryan J. Kramer, Toshihiko Takemura, Robert J. Allen, Ulas Im, Matthew Kasoar, Angshuman Modak, Steven Turnock, Apostolos Voulgarakis, Duncan Watson-Parris, Daniel M. Westervelt, Laura J. Wilcox, Alcide Zhao, William J. Collins, Michael Schulz, Gunnar Myhre, and Piers M. Forster
Geosci. Model Dev., 17, 2387–2417, https://doi.org/10.5194/gmd-17-2387-2024,https://doi.org/10.5194/gmd-17-2387-2024, 2024
Short summary
CD-type discretization for sea ice dynamics in FESOM version 2
Sergey Danilov, Carolin Mehlmann, Dmitry Sidorenko, and Qiang Wang
Geosci. Model Dev., 17, 2287–2297, https://doi.org/10.5194/gmd-17-2287-2024,https://doi.org/10.5194/gmd-17-2287-2024, 2024
Short summary
CSDMS Data Components: data–model integration tools for Earth surface processes modeling
Tian Gan, Gregory E. Tucker, Eric W. H. Hutton, Mark D. Piper, Irina Overeem, Albert J. Kettner, Benjamin Campforts, Julia M. Moriarty, Brianna Undzis, Ethan Pierce, and Lynn McCready
Geosci. Model Dev., 17, 2165–2185, https://doi.org/10.5194/gmd-17-2165-2024,https://doi.org/10.5194/gmd-17-2165-2024, 2024
Short summary
A generic algorithm to automatically classify urban fabric according to the local climate zone system: implementation in GeoClimate 0.0.1 and application to French cities
Jérémy Bernard, Erwan Bocher, Matthieu Gousseff, François Leconte, and Elisabeth Le Saux Wiederhold
Geosci. Model Dev., 17, 2077–2116, https://doi.org/10.5194/gmd-17-2077-2024,https://doi.org/10.5194/gmd-17-2077-2024, 2024
Short summary
Modelling water isotopologues (1H2H16O, 1H217O) in the coupled numerical climate model iLOVECLIM (version 1.1.5)
Thomas Extier, Thibaut Caley, and Didier M. Roche
Geosci. Model Dev., 17, 2117–2139, https://doi.org/10.5194/gmd-17-2117-2024,https://doi.org/10.5194/gmd-17-2117-2024, 2024
Short summary

Cited articles

Abramowitz, G.: Towards a public, standardized, diagnostic benchmarking system for land surface models, Geosci. Model Dev., 5, 819–827, https://doi.org/10.5194/gmd-5-819-2012, 2012.
Abramowitz, G., Leuning, R., Clark, M., and Pitman, A.: Evaluating the Performance of Land Surface Models, J. Climate, 21, 5468–5481, 2008.
Arneth, A., Lloyd, J., Šantrŭčková, H., Bird, M., Grigoryev, S., Kalaschnikov, Y., Gleixner, G., and Schulze, E.-D.: Response of central Siberian Scots pine to soil water deficit and long-term trends in atmospheric CO2 concentration, Global Biogeochem. Cy., 16, 1005, https://doi.org/10.1029/2000GB001374, 2002.
Ball, M. C., Woodrow, I. E., and Berry, J. A.: Progress in Photosynthesis Research, edited by: Biggins, I., Martinus Nijhoff Publisheres, Netherlands, 221–224, 1987.
Barnard, D. and Bauerle, W.: The implications of minimum stomatal conductance on modeling water flux in forest canopies, J. Geophys. Res. Biogeosci., 118, 1322–1333, 2013.
Download
Short summary
Stomatal conductance affects the fluxes of carbon, energy and water between the vegetated land surface and the atmosphere. We test an implementation of an optimal stomatal conductance model within the CABLE land surface model (LSM). The new implementation resulted in a large reduction in the annual fluxes of transpiration across evergreen needleleaf, tundra and C4 grass regions. We conclude that optimisation theory can yield a tractable approach to predicting stomatal conductance in LSMs.