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

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2021-10
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Irvin, Jeremy; Zhou, Sharon; McNicol, Gavin; Lu, Fred; Liu, Vincent; Fluet-Chouinard, Etienne; Ouyang, Zutao; Knox, Sara Helen; Lucas-Moffat, Antje; Trotta, Carlo; Papale, Dario; Vitale, Domenico; Mammarella, Ivan; Alekseychik, Pavel; Aurela, Mika; Avati, Anand; Baldocchi, Dennis; Bansal, Sheel; Bohrer, Gil; Campbell, David I.; Chen, Jiquan; Chu, Housen; Dalmagro, Higo J.; Delwiche, Kyle B.; Desai, Ankur R.; Euskirchen, Eugénie; Feron, Sarah; Goeckede, Mathias; Heimann, Martin; Helbig, Manuel; Helfter, Carole; Hemes, Kyle S.; Hirano, Takashi; Iwata, Hiroki; Jurasinski, Gerald; Kalhori, Aram; Kondrich, Andrew; Lai, Derrick Y.F.; Lohila, Annalea; Malhotra, Avni; Merbold, Lutz; Mitra, Bhaskar; Ng, Andrew; Nilsson, Mats B.; Noormets, Asko; Peichl, Matthias; Rey-Sanchez, A. Camilo; Richardson, Andrew D.; Runkle, Benjamin R.K.; Schäfer, Karina V.R.; Sonnentag, Oliver; Stuart-Haëntjens, Ellen; Sturtevant, Cove; Ueyama, Masahito; Valach, Alex C.; Vargas, Rodrigo; Vourlitis, George L.; Ward, Eric J.; Wong, Guan Xhuan; Zona, Donatella; Alberto, Ma.Carmelita R.; Billesbach, David P.; Celis, Gerardo; Dolman, Han; Friborg, Thomas; Fuchs, Kathrin; Gogo, Sébastien; Gondwe, Mangaliso J.; Goodrich, Jordan P.; Gottschalk, Pia; Hörtnagl, Lukas; Jacotot, Adrien; Koebsch, Franziska; Kasak, Kuno; Maier, Regine; Morin, Timothy H.; Nemitz, Eiko; Oechel, Walter C.; Oikawa, Patricia Y.; Ono, Keisuke; Sachs, Torsten; Sakabe, Ayaka; Schuur, Edward A.G.; Shortt, Robert; Sullivan, Ryan C.; Szutu, Daphne J.; Tuittila, Eeva-Stiina; Varlagin, Andrej; Verfaillie, Joseph G.; Wille, Christian; Windham-Myers, Lisamarie; Poulter, Benjamin; Jackson, Robert B. 2021. Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands. Agricultural and Forest Meteorology 308-309: 108528
Permanent link to cite or share this item: https://hdl.handle.net/10568/129533
DOI: https://doi.org/10.1016/j.agrformet.2021.108528
CGIAR Author ORCID iDs
Lutz Merboldhttps://orcid.org/0000-0003-4974-170X
AGROVOC Keywords
Subjects
GHG EMISSIONS;
Organizations Affiliated to the Authors
Argonne National Laboratory; California State University; Chinese University of Hong Kong; ETH Zurich; Euro-Mediterranean Center for Climate Change; Finnish Meteorological Institute; German Meteorological Service; Goddard Space Flight Center; Helmholtz Centre Potsdam; Hokkaido University; International Livestock Research Institute; Karlsruhe Institute of Technology; Kyoto University; Lawrence Berkeley National Laboratory; Max Planck Institute for Biogeochemistry; Michigan State University; National Agriculture and Food Research Organization; National Ecological Observatory Network; Natural Resources Institute Finland; Northern Arizona University; Rutgers, The State University of New Jersey; San Diego State University; Shinshu University; Stanford University; Swedish University of Agricultural Sciences; Texas A&M University; Tuscia University; United States Geological Survey; Universidade de Cuiabá; University of Alaska; University of Arkansas; University of Botswana; University of British Columbia; University of California; University of Copenhagen; University of Delaware; University of Florida; University of Helsinki; University of Illinois; University of Montreal; University of Nebraska; University of Orléans; University of Rostock; University of Santiago Chile; University of Tartu; University of Waikato; University of Wisconsin; Vrije Universiteit Amsterdam
Investors/sponsors
Directorate for Biological Sciences; Directorate for Engineering; Directorate for Geosciences; Natural Environment Research Council; Swiss National Science Foundation; United States Department of Energy
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