Articles | Volume 16, issue 8
https://doi.org/10.5194/bg-16-1829-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-16-1829-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
How representative are FLUXNET measurements of surface fluxes during temperature extremes?
Sophie V. J. van der Horst
Meteorology and Air Quality, Wageningen University, 6700 HB,
Wageningen, the Netherlands
Andrew J. Pitman
CORRESPONDING AUTHOR
ARC Centre of Excellence for Climate Extremes and Climate Change Research
Centre, University of New South Wales, Sydney, NSW 2052, Australia
Martin G. De Kauwe
ARC Centre of Excellence for Climate Extremes and Climate Change Research
Centre, University of New South Wales, Sydney, NSW 2052, Australia
Anna Ukkola
3ARC Centre of Excellence for Climate Extremes and Research School of
Earth Sciences, Australian National University, Canberra, ACT 2601, Australia
Gab Abramowitz
ARC Centre of Excellence for Climate Extremes and Climate Change Research
Centre, University of New South Wales, Sydney, NSW 2052, Australia
Peter Isaac
OzFlux Central Node, TERN Ecosystem Processes, Melbourne, VIC 3159, Australia
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- Global trends in land-atmosphere CO<SUB>2</SUB> exchange fluxes: an analysis of a flux measurement dataset and comparison with terrestrial model simulations A. ITO 10.2480/agrmet.D-21-00015
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- Ideas and perspectives: enhancing the impact of the FLUXNET network of eddy covariance sites D. Papale 10.5194/bg-17-5587-2020
12 citations as recorded by crossref.
- Robust historical evapotranspiration trends across climate regimes S. Hobeichi et al. 10.5194/hess-25-3855-2021
- Seasonal dynamics of carbon dioxide and water fluxes in a rice-wheat rotation system in the Yangtze-Huaihe region of China C. Li et al. 10.1016/j.agwat.2022.107992
- CEDAR-GPP: spatiotemporally upscaled estimates of gross primary productivity incorporating CO2 fertilization Y. Kang et al. 10.5194/essd-17-3009-2025
- A flux tower dataset tailored for land model evaluation A. Ukkola et al. 10.5194/essd-14-449-2022
- Overcoming barriers to enable convergence research by integrating ecological and climate sciences: the NCAR–NEON system Version 1 D. Lombardozzi et al. 10.5194/gmd-16-5979-2023
- Identifying areas at risk of drought‐induced tree mortality across South‐Eastern Australia M. De Kauwe et al. 10.1111/gcb.15215
- Assessing the representation of the Australian carbon cycle in global vegetation models L. Teckentrup et al. 10.5194/bg-18-5639-2021
- Bridge to the future: Important lessons from 20 years of ecosystem observations made by the OzFlux network J. Beringer et al. 10.1111/gcb.16141
- Global trends in land-atmosphere CO<SUB>2</SUB> exchange fluxes: an analysis of a flux measurement dataset and comparison with terrestrial model simulations A. ITO 10.2480/agrmet.D-21-00015
- Impacts of benchmarking choices on inferred model skill of the Arctic–Boreal terrestrial carbon cycle J. Poe et al. 10.1088/2752-664X/adacee
- Generating Spatially Robust Carbon Budgets From Flux Tower Observations A. Griebel et al. 10.1029/2019GL085942
- Ideas and perspectives: enhancing the impact of the FLUXNET network of eddy covariance sites D. Papale 10.5194/bg-17-5587-2020
Latest update: 06 Jul 2025
Short summary
Measurements of surface fluxes are taken around the world and are extremely valuable for understanding how the land and atmopshere interact, and how the land can amplify temerature extremes. However, do these measurements sample extreme temperatures, or are they biased to the average? We examine this question and highlight data that do measure surface fluxes under extreme conditions. This provides a way forward to help model developers improve their models.
Measurements of surface fluxes are taken around the world and are extremely valuable for...
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