Articles | Volume 15, issue 14
https://doi.org/10.5194/bg-15-4495-2018
https://doi.org/10.5194/bg-15-4495-2018
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

Related authors

On the predictability of land surface fluxes from meteorological variables
Ned Haughton, Gab Abramowitz, and Andy J. Pitman
Geosci. Model Dev., 11, 195–212, https://doi.org/10.5194/gmd-11-195-2018,https://doi.org/10.5194/gmd-11-195-2018, 2018
Short summary
FluxnetLSM R package (v1.0): a community tool for processing FLUXNET data for use in land surface modelling
Anna M. Ukkola, Ned Haughton, Martin G. De Kauwe, Gab Abramowitz, and Andy J. Pitman
Geosci. Model Dev., 10, 3379–3390, https://doi.org/10.5194/gmd-10-3379-2017,https://doi.org/10.5194/gmd-10-3379-2017, 2017
Short summary

Related subject area

Biogeophysics: Ecohydrology
The dynamics of marsh-channel slump blocks: an observational study using repeated drone imagery
Zhicheng Yang, Clark Alexander, and Merryl Alber
Biogeosciences, 21, 1757–1772, https://doi.org/10.5194/bg-21-1757-2024,https://doi.org/10.5194/bg-21-1757-2024, 2024
Short summary
Understanding the effects of revegetated shrubs on fluxes of energy, water, and gross primary productivity in a desert steppe ecosystem using the STEMMUS–SCOPE model
Enting Tang, Yijian Zeng, Yunfei Wang, Zengjing Song, Danyang Yu, Hongyue Wu, Chenglong Qiao, Christiaan van der Tol, Lingtong Du, and Zhongbo Su
Biogeosciences, 21, 893–909, https://doi.org/10.5194/bg-21-893-2024,https://doi.org/10.5194/bg-21-893-2024, 2024
Short summary
Inclusion of bedrock vadose zone in dynamic global vegetation models is key for simulating vegetation structure and functioning
Dana A. Lapides, W. Jesse Hahm, Matthew Forrest, Daniella M. Rempe, Thomas Hickler, and David N. Dralle
EGUsphere, https://doi.org/10.5194/egusphere-2023-2572,https://doi.org/10.5194/egusphere-2023-2572, 2023
Short summary
Imaging of the electrical activity in the root zone under limited-water-availability stress: a laboratory study for Vitis vinifera
Benjamin Mary, Veronika Iván, Franco Meggio, Luca Peruzzo, Guillaume Blanchy, Chunwei Chou, Benedetto Ruperti, Yuxin Wu, and Giorgio Cassiani
Biogeosciences, 20, 4625–4650, https://doi.org/10.5194/bg-20-4625-2023,https://doi.org/10.5194/bg-20-4625-2023, 2023
Short summary
Coordination of rooting, xylem, and stomatal strategies explains the response of conifer forest stands to multi-year drought in the southern Sierra Nevada of California
Junyan Ding, Polly Buotte, Roger Bales, Bradley Christoffersen, Rosie A. Fisher, Michael Goulden, Ryan Knox, Lara Kueppers, Jacquelyn Shuman, Chonggang Xu, and Charles D. Koven
Biogeosciences, 20, 4491–4510, https://doi.org/10.5194/bg-20-4491-2023,https://doi.org/10.5194/bg-20-4491-2023, 2023
Short summary

Cited articles

Abbas, S. R. and Arif, M.: New Time Series Predictability Metrics for Nearest Neighbor Based Forecasting, The IEEE International Multitopic Conference 2006, 100–105, 2006.
Alton, P. B.: How useful are plant functional types in global simulations of the carbon, water, and energy cycles?, J. Geophys. Res., 116, G01030, https://doi.org/10.1029/2010JG001430, 2011.
Balsamo, G., Beljaars, A., Scipal, K., Viterbo, P., van den Hurk, B., Hirschi, M., and Betts, A. K.: A Revised Hydrology for the ECMWF Model: Verification from Field Site to Terrestrial Water Storage and Impact in the Integrated Forecast System, J. Hydrometeorol., 10, 623–643, https://doi.org/10.1175/2008JHM1068.1, 2009.
Bonan, G.: Ecological Climatology: Concepts and Applications, 3rd Edn., Cambridge University Press, National Center for Atmospheric Research, Boulder, Colorado, 2015.
Download
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.
Altmetrics
Final-revised paper
Preprint