Articles | Volume 15, issue 14
https://doi.org/10.5194/gmd-15-5567-2022
https://doi.org/10.5194/gmd-15-5567-2022
Development and technical paper
 | 
20 Jul 2022
Development and technical paper |  | 20 Jul 2022

Improved representation of plant physiology in the JULES-vn5.6 land surface model: photosynthesis, stomatal conductance and thermal acclimation

Rebecca J. Oliver, Lina M. Mercado, Doug B. Clark, Chris Huntingford, Christopher M. Taylor, Pier Luigi Vidale, Patrick C. McGuire, Markus Todt, Sonja Folwell, Valiyaveetil Shamsudheen Semeena, and Belinda E. Medlyn

Data sets

Improved representation of plant physiology in the JULES-vn5.6 land surface model: Photosynthesis, stomatal conductance and thermal acclimation Rebecca Oliver, Lina Mercado, Doug Clark, Chris Huntingford, Christopher Taylor, Pier Luigi Vidale, Patrick McGuire, Markus Todt, Sonja Folwell, Semeena Shamsudheen, and Belinda Medlyn https://doi.org/10.5281/zenodo.5825540

Model code and software

JULES-VN5.6_acclimation D. B. Clark https://code.metoffice.gov.uk/trac/jules/browser/main/branches/dev/douglasclark/vn5.6_acclimation

Rose suite u-br064 R. J. Oliver https://code.metoffice.gov.uk/trac/roses-u/browser/b/r/0/6/4/trunk

Rose suite u-al752 A. Harper, K. Williams, P. C. McGuire, C. Duran Rojas, and F. Otu-Larbi https://code.metoffice.gov.uk/trac/roses-u/browser/a/l/7/5/2/trunk

Rose suite u-bq898 P. C. McGuire, P. L. Vidale, R. J. Oliver, G. M. S. Lister, A. Martinez de la Torre, O. V. Müller, and M. Todt https://code.metoffice.gov.uk/trac/roses-u/browser/b/q/8/9/8/trunk

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Short summary
We introduce new representations of plant physiological processes into a land surface model. Including new biological understanding improves modelled carbon and water fluxes for the present in tropical and northern-latitude forests. Future climate simulations demonstrate the sensitivity of photosynthesis to temperature is important for modelling carbon cycle dynamics in a warming world. Accurate representation of these processes in models is necessary for robust predictions of climate change.