Articles | Volume 10, issue 9
https://doi.org/10.5194/gmd-10-3379-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-3379-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Methods for assessment of models
| 
12 Sep 2017
Methods for assessment of models |
| 12 Sep 2017
FluxnetLSM R package (v1.0): a community tool for processing FLUXNET data for use in land surface modelling
ARC Centre of Excellence for Climate System Science, University of New
South Wales, Sydney, NSW 2052, Australia
Climate Change Research Centre, University of New South Wales, Sydney,
NSW 2052, Australia
Ned Haughton
ARC Centre of Excellence for Climate System Science, University of New
South Wales, Sydney, NSW 2052, Australia
Martin G. De Kauwe
ARC Centre of Excellence for Climate System Science, University of New
South Wales, Sydney, NSW 2052, Australia
Climate Change Research Centre, University of New South Wales, Sydney,
NSW 2052, Australia
Macquarie University, Sydney, NSW 2109, Australia
Gab Abramowitz
ARC Centre of Excellence for Climate System Science, University of New
South Wales, Sydney, NSW 2052, Australia
Climate Change Research Centre, University of New South Wales, Sydney,
NSW 2052, Australia
Andy J. Pitman
ARC Centre of Excellence for Climate System Science, University of New
South Wales, Sydney, NSW 2052, Australia
Climate Change Research Centre, University of New South Wales, Sydney,
NSW 2052, Australia
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Cited
14 citations as recorded by crossref.
- Evaluation of Land Surface Subprocesses and Their Impacts on Model Performance With Global Flux Data J. Li et al. 10.1029/2018MS001606
- A Comparison of the Diel Cycle of Modeled and Measured Latent Heat Flux During the Warm Season in a Colorado Subalpine Forest S. Burns et al. 10.1002/2017MS001248
- Moving beyond the incorrect but useful paradigm: reevaluating big-leaf and multilayer plant canopies to model biosphere-atmosphere fluxes – a review G. Bonan et al. 10.1016/j.agrformet.2021.108435
- Plant hydraulics accentuates the effect of atmospheric moisture stress on transpiration Y. Liu et al. 10.1038/s41558-020-0781-5
- A flux tower dataset tailored for land model evaluation A. Ukkola et al. 10.5194/essd-14-449-2022
- Identifying areas at risk of drought‐induced tree mortality across South‐Eastern Australia M. De Kauwe et al. 10.1111/gcb.15215
- Assessing the spatiotemporal distributions of evapotranspiration in the Three Gorges Reservoir Region of China using remote sensing data Z. Ma et al. 10.1007/s11629-018-5180-2
- Inter-annual variability of the global terrestrial water cycle D. Yin & M. Roderick 10.5194/hess-24-381-2020
- Plant profit maximization improves predictions of European forest responses to drought M. Sabot et al. 10.1111/nph.16376
- Harmonized gap-filled datasets from 20 urban flux tower sites M. Lipson et al. 10.5194/essd-14-5157-2022
- How representative are FLUXNET measurements of surface fluxes during temperature extremes? S. van der Horst et al. 10.5194/bg-16-1829-2019
- Does predictability of fluxes vary between FLUXNET sites? N. Haughton et al. 10.5194/bg-15-4495-2018
- Examining the evidence for decoupling between photosynthesis and transpiration during heat extremes M. De Kauwe et al. 10.5194/bg-16-903-2019
- Evaluating the Contribution of Land‐Atmosphere Coupling to Heat Extremes in CMIP5 Models A. Ukkola et al. 10.1029/2018GL079102
13 citations as recorded by crossref.
- Evaluation of Land Surface Subprocesses and Their Impacts on Model Performance With Global Flux Data J. Li et al. 10.1029/2018MS001606
- A Comparison of the Diel Cycle of Modeled and Measured Latent Heat Flux During the Warm Season in a Colorado Subalpine Forest S. Burns et al. 10.1002/2017MS001248
- Moving beyond the incorrect but useful paradigm: reevaluating big-leaf and multilayer plant canopies to model biosphere-atmosphere fluxes – a review G. Bonan et al. 10.1016/j.agrformet.2021.108435
- Plant hydraulics accentuates the effect of atmospheric moisture stress on transpiration Y. Liu et al. 10.1038/s41558-020-0781-5
- A flux tower dataset tailored for land model evaluation A. Ukkola et al. 10.5194/essd-14-449-2022
- Identifying areas at risk of drought‐induced tree mortality across South‐Eastern Australia M. De Kauwe et al. 10.1111/gcb.15215
- Assessing the spatiotemporal distributions of evapotranspiration in the Three Gorges Reservoir Region of China using remote sensing data Z. Ma et al. 10.1007/s11629-018-5180-2
- Inter-annual variability of the global terrestrial water cycle D. Yin & M. Roderick 10.5194/hess-24-381-2020
- Plant profit maximization improves predictions of European forest responses to drought M. Sabot et al. 10.1111/nph.16376
- Harmonized gap-filled datasets from 20 urban flux tower sites M. Lipson et al. 10.5194/essd-14-5157-2022
- How representative are FLUXNET measurements of surface fluxes during temperature extremes? S. van der Horst et al. 10.5194/bg-16-1829-2019
- Does predictability of fluxes vary between FLUXNET sites? N. Haughton et al. 10.5194/bg-15-4495-2018
- Examining the evidence for decoupling between photosynthesis and transpiration during heat extremes M. De Kauwe et al. 10.5194/bg-16-903-2019
1 citations as recorded by crossref.
Latest update: 17 Apr 2024
Short summary
Flux towers measure energy, carbon dioxide and water vapour fluxes. These data have become essential for evaluating land surface models (LSMs) – key tools for projecting future climate change. However, these data as released are not immediately usable with LSMs and must be post-processed to change units, screened for missing data and gap-filling. We present an open-source R package that transforms flux tower measurements into a format directly usable by LSMs.
Flux towers measure energy, carbon dioxide and water vapour fluxes. These data have become...
