Articles | Volume 13, issue 11
https://doi.org/10.5194/bg-13-3245-2016
https://doi.org/10.5194/bg-13-3245-2016
Research article
 | 
03 Jun 2016
Research article |  | 03 Jun 2016

A model inter-comparison study to examine limiting factors in modelling Australian tropical savannas

Rhys Whitley, Jason Beringer, Lindsay B. Hutley, Gab Abramowitz, Martin G. De Kauwe, Remko Duursma, Bradley Evans, Vanessa Haverd, Longhui Li, Youngryel Ryu, Benjamin Smith, Ying-Ping Wang, Mathew Williams, and Qiang Yu

Viewed

Total article views: 3,484 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,989 1,213 282 3,484 243 104 104
  • HTML: 1,989
  • PDF: 1,213
  • XML: 282
  • Total: 3,484
  • Supplement: 243
  • BibTeX: 104
  • EndNote: 104
Views and downloads (calculated since 02 Dec 2015)
Cumulative views and downloads (calculated since 02 Dec 2015)

Cited

Saved (preprint)

Latest update: 28 Mar 2024
Download
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.
Altmetrics
Final-revised paper
Preprint