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

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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.
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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.
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