Does predictability of fluxes vary between FLUXNET sites?

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

doi:https://doi.org/10.5194/bg-15-4495-2018

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

Supplement

https://doi.org/10.5194/bg-15-4495-2018-supplement

Data sets

The FLUXNET 2015 dataset Fluxdata http://fluxnet.fluxdata.org/data/fluxnet2015-dataset/

The CRU TS4.01 data Centre for Environmental Data Analysis http://catalogue.ceda.ac.uk/uuid/58a8802721c94c66ae45c3baa4d814d0

The BioClim data WorldClim - Global Climate Data http://worldclim.org/bioclim

The model and analysis code GitHub https://github.com/naught101/empirical_lsm

naught101/empirical_lsm: v1.1 Zenodo https://doi.org/10.5281/zenodo.1215832

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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.