Articles | Volume 11, issue 7
https://doi.org/10.5194/gmd-11-2857-2018
© Author(s) 2018. 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-11-2857-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
13 Jul 2018
Development and technical paper |
| 13 Jul 2018
| 13 Jul 2018
Vegetation distribution and terrestrial carbon cycle in a carbon cycle configuration of JULES4.6 with new plant functional types
College of Engineering, Mathematics, and Physical Sciences,
University of Exeter, Exeter EX4 4QF, UK
Andrew J. Wiltshire
Met Office Hadley Centre,
Fitzroy Road, Exeter EX1 3PB, UK
Peter M. Cox
College of Engineering, Mathematics, and Physical Sciences,
University of Exeter, Exeter EX4 4QF, UK
Pierre Friedlingstein
College of Engineering, Mathematics, and Physical Sciences,
University of Exeter, Exeter EX4 4QF, UK
Chris D. Jones
Met Office Hadley Centre,
Fitzroy Road, Exeter EX1 3PB, UK
Lina M. Mercado
College of Life and Environmental
Sciences, University of Exeter, Exeter EX4 4PS, UK
Centre for
Ecology and Hydrology, Wallingford OX10 8BB, UK
Stephen Sitch
College of Life and Environmental
Sciences, University of Exeter, Exeter EX4 4PS, UK
Karina Williams
Met Office Hadley Centre,
Fitzroy Road, Exeter EX1 3PB, UK
Carolina Duran-Rojas
College of Engineering, Mathematics, and Physical Sciences,
University of Exeter, Exeter EX4 4QF, UK
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Short summary
Dynamic global vegetation models are used for studying historical and future changes to vegetation and the terrestrial carbon cycle. JULES is a DGVM that represents the land surface in the UK Earth System Model. We compared simulated gross and net primary productivity of vegetation, vegetation distribution, and aspects of the transient carbon cycle to observational datasets. JULES was able to accurately reproduce many aspects of the terrestrial carbon cycle with the recent improvements.
Dynamic global vegetation models are used for studying historical and future changes to...
