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Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands
Journal article   Open access   Peer reviewed

Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands

Jeremy Irvin, Sharon Zhou, Gavin McNicol, Fred Lu, Vincent Liu, Etienne Fluet-Chouinard, Zutao Ouyang, Sara Helen Knox, Antje Lucas-Moffat, Carlo Trotta, …
Agricultural and forest meteorology, Vol.308-309, p.108528
10/15/2021

Abstract

flux gap-filling imputation Machine learning methane time series wetlands
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https://doi.org/10.1016/j.agrformet.2021.108528View
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