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Articles | Volume 15, issue 14
Articles | Volume 15, issue 14
https://doi.org/10.5194/bg-15-4495-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-15-4495-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 14
Research article
 | 
25 Jul 2018
Research article |  | 25 Jul 2018

Does predictability of fluxes vary between FLUXNET sites?

Ned Haughton, Gab Abramowitz, Martin G. De Kauwe, and Andy J. Pitman

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Short summary
This project explores predictability in energy, water, and carbon fluxes in the free-use Tier 1 of the FLUXNET 2015 dataset using a uniqueness metric based on comparison of locally and globally trained models. While there is broad spread in predictability between sites, we found strikingly few strong patterns. Nevertheless, these results can contribute to the standardisation of site selection for land surface model evaluation and help pinpoint regions that are ripe for further FLUXNET research.
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