Articles | Volume 10, issue 1
Geosci. Instrum. Method. Data Syst., 10, 123–140, 2021
https://doi.org/10.5194/gi-10-123-2021
Geosci. Instrum. Method. Data Syst., 10, 123–140, 2021
https://doi.org/10.5194/gi-10-123-2021

Research article 28 Jun 2021

Research article | 28 Jun 2021

A comparison of gap-filling algorithms for eddy covariance fluxes and their drivers

Atbin Mahabbati et al.

Related authors

Step-wise modifications of the Vegetation Optimality Model
Remko Christiaan Nijzink, Jason Beringer, Lindsay Beaumont Hutley, and Stanislaus Josef Schymanski
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2021-151,https://doi.org/10.5194/gmd-2021-151, 2021
Revised manuscript under review for GMD
Short summary
Does maximization of net carbon profit enable the prediction of vegetation behaviour in savanna sites along a precipitation gradient?
Remko Christiaan Nijzink, Jason Beringer, Lindsay Beaumont Hutley, and Stanislaus Josef Schymanski
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-265,https://doi.org/10.5194/hess-2021-265, 2021
Preprint under review for HESS
Short summary
How representative are FLUXNET measurements of surface fluxes during temperature extremes?
Sophie V. J. van der Horst, Andrew J. Pitman, Martin G. De Kauwe, Anna Ukkola, Gab Abramowitz, and Peter Isaac
Biogeosciences, 16, 1829–1844, https://doi.org/10.5194/bg-16-1829-2019,https://doi.org/10.5194/bg-16-1829-2019, 2019
Short summary
Speculations on the application of foliar 13C discrimination to reveal groundwater dependency of vegetation and provide estimates of root depth and rates of groundwater use
Rizwana Rumman, James Cleverly, Rachael H. Nolan, Tonantzin Tarin, and Derek Eamus
Hydrol. Earth Syst. Sci., 22, 4875–4889, https://doi.org/10.5194/hess-22-4875-2018,https://doi.org/10.5194/hess-22-4875-2018, 2018
Short summary
Upside-down fluxes Down Under: CO2 net sink in winter and net source in summer in a temperate evergreen broadleaf forest
Alexandre A. Renchon, Anne Griebel, Daniel Metzen, Christopher A. Williams, Belinda Medlyn, Remko A. Duursma, Craig V. M. Barton, Chelsea Maier, Matthias M. Boer, Peter Isaac, David Tissue, Victor Resco de Dios, and Elise Pendall
Biogeosciences, 15, 3703–3716, https://doi.org/10.5194/bg-15-3703-2018,https://doi.org/10.5194/bg-15-3703-2018, 2018
Short summary

Related subject area

Estimation
Total Global Solar Radiation Estimation with Relative Humidity and Air Temperature Extremes in Ireland and Holland
Can Ekici and Ismail Teke
Geosci. Instrum. Method. Data Syst. Discuss., https://doi.org/10.5194/gi-2017-52,https://doi.org/10.5194/gi-2017-52, 2017
Preprint withdrawn
Short summary

Cited articles

Allison, P. D.: Multiple Imputation for Missing Data: A Cautionary Tale, Sociol. Meth. Res., 28, 301–309, https://doi.org/10.1177/0049124100028003003, 2000. 
Altman, D. G. and Bland, J. M.: Missing data, Br. Med. J., 334, 424, https://doi.org/10.1136/bmj.38977.682025.2C, 2007. 
Aubinet, M., Vesala, T., and Papale, D.: Eddy Covariance: A Practical Guide to Measurement and Data Analysis, Springer, Dordrecht, the Netherlands, 2012. 
Baldocchi, D., Falge, E., Gu, L., Olson, R., Hollinger, D., Running, S., Anthoni, P., Bernhofer, C., Davis, K., Evans, R., Fuentes, J., Goldstein, A., Katul, G., Law, B., Lee, X., Malhi, Y., Meyers, T., Munger, W., Oechel, W., Paw, U. K. T., Pilegaard, K., Schmid, H. P., Valentini, R., Verma, S., Vesala, T., Wilson, K., and Wofsy, S.: FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem-Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities, B. Am. Meteorol. Soc., 82, 2415–2434, https://doi.org/10.1175/1520-0477(2001)082<2415:FANTTS>2.3.CO;2, 2001. 
Download
Short summary
We reviewed eight algorithms to estimate missing values of environmental drivers and three major fluxes in eddy covariance time series. Overall, machine-learning algorithms showed superiority over the rest. Among the top three models (feed-forward neural networks, eXtreme Gradient Boost, and random forest algorithms), the latter showed the most solid performance in different scenarios.