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

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Description scientific article
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author: Rob Jackson  Andrej Varlagin  Lukas Hörtnagl  Torsten Sachs  Bhaskar Mitra  Gil Bohrer  Lisamarie Windham-Myers  Christian Wille  Dario Papale  Avni Malhotra  Mathias Göckede  Masahito Ueyama  Etienne Fluet-Chouinard  Eugénie S. Euskirchen  Edward A. G. Schuur  Sheel Bansal  A. Johannes Dolman  Donatella Zona  Housen Chu  Pavel Alekseychik  Gavin McNicol  Mats B Nilsson  Thomas Friborg  Martin Heimann  Eeva-Stiina Tuittila  Kyle S. Hemes  Manuel Helbig  Mika Aurela  Eiko Nemitz  Hiroki Iwata  Joseph Verfaillie  Takashi Hirano  Annalea Lohila  Franziska Koebsch  Domenico Vitale  Sarah C Feron  Dennis D Baldocchi  Asko Noormets  Ivan Mammarella  Gerald Jurasinski  Gerardo Celis  Higo J Dalmagro  Kuno Kasak  Zutao Ouyang  Guan Xhuan Wong  Aram Kalhori  Derrick Y.F. Lai  Vincent Liu  Amy Valach  Kyle B. Delwiche  Benjamin R K Runkle  Sébastien Gogo  Oliver Sonnentag  A. Camilo Rey-Sanchez  Adrien Jacotot  Ankur R. Desai  Patricia Y. Oikawa  Timothy H. Morin  George L Vourlitis  Daphne J. Szutu  Ayaka Sakabe  Jiquan Chen  Mangaliso J. Gondwe  Sara Helen Knox  Carole Helfter  Ryan C Sullivan  Jordan Goodrich  Cove Sturtevant  Matthias Peichl  Rodrigo Vargas  Lutz Merbold  Andrew Richardson  Ellen Stuart-Haëntjens  Pia Gottschalk 

Publication date October 2021
Language English
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