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


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (29 Jun 2018) by Trevor Keenan
AR by Ned Haughton on behalf of the Authors (29 Jun 2018)  Author's response   Manuscript 
ED: Publish as is (05 Jul 2018) by Trevor Keenan
AR by Ned Haughton on behalf of the Authors (06 Jul 2018)
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.
Final-revised paper