Irvin J., Zhou S., McNicol G., Lu F., Liu V., Fluet-Chouinard E., Ouyang Z., Knox S. H., Lucas-Moffat A., Trotta C., Papale D., Vitale D., Mammarella I., Alekseychik P., Aurela M., Avati A., Baldocchi D., Bansal S., Merbold L., Jackson R.
Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands.
Agricultural and Forest Meteorology, 308-309, 2021, 1-22.
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ISSN Print 0168-1923
ISSN en ligne: 1873-2240
Digital Object Identifier (DOI): https://doi.org/10.1016/j.agrformet.2021.108528
ID publication (Code web): 51145
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