Articles | Volume 13, issue 11
https://doi.org/10.5194/bg-13-3245-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-13-3245-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A model inter-comparison study to examine limiting factors in modelling Australian tropical savannas
Rhys Whitley
CORRESPONDING AUTHOR
Department of Biological Sciences, Macquarie University, North Ryde,
NSW 2109, Australia
Jason Beringer
School of Earth and Environment, University of Western Australia,
Crawley, WA 6009, Australia
Lindsay B. Hutley
School of Environment, Charles Darwin University, Casuarina, NT 0810,
Australia
Gab Abramowitz
Climate Change Research Centre, University of New South Wales,
Kensington, NSW 2033, Australia
Martin G. De Kauwe
Department of Biological Sciences, Macquarie University, North Ryde,
NSW 2109, Australia
Remko Duursma
Hawkesbury Institute for the Environment, University of Western
Sydney, Penrith, New South Wales 2751, Australia
Bradley Evans
Faculty of Agriculture and Environment, University of Sydney,
Eveleigh, NSW 2015, Australia
Vanessa Haverd
CSIRO Ocean and Atmosphere, Canberra 2601, Australia
Longhui Li
School of Life Sciences, University of Technology Sydney, Ultimo, NSW
2007, Australia
Youngryel Ryu
Department of Landscape Architecture and Rural Systems Engineering,
Seoul National University, Seoul, South Korea
Benjamin Smith
Department of Physical Geography and Ecosystem Science, Lund
University, Lund, Sweden
Ying-Ping Wang
CSIRO Ocean and Atmosphere, Aspendale, Victoria 3195, Australia
Mathew Williams
School of GeoSciences, University of Edinburgh, Edinburgh, UK
Qiang Yu
CSIRO Ocean and Atmosphere, Canberra 2601, Australia
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Latest update: 08 Nov 2025
Short summary
In this study we assess how well terrestrial biosphere models perform at predicting water and carbon cycling for savanna ecosystems. We apply our models to five savanna sites in Northern Australia and highlight key causes for model failure. Our assessment of model performance uses a novel benchmarking system that scores a model’s predictive ability based on how well it is utilizing its driving information. On average, we found the models as a group display only moderate levels of performance.
In this study we assess how well terrestrial biosphere models perform at predicting water and...
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