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Export Date: 12 November 2018; Coden: Afmee; Correspondence Address: Stoy, P.C.; Department of Land Resources and Environmental Sciences, Montana State UniversityUnited States; email: paul.stoy@montana.edu; Funding details: ANR-10-LABX-25-01; Funding details: U.S. Department of Energy, DOE, SC0011097; Funding details: Agence Nationale de la Recherche, ANR; Funding details: 1702029; Funding details: 1552976; Funding details: Graduate School, Ohio State University; Funding details: National Natural Science Foundation of China, NSFC, 31625006; Funding text 1: PCS and JDF acknowledges funding support from the U.S. Department of Energy as part of the GoAmazon project (Grant SC0011097 ). PCS additionally acknowledges the U.S. National Science Foundation grants 1552976 and 1702029 , and The Graduate School at Montana State University . ZF is supported by the China Scholarship Council and National Natural Science Foundation of China ( 31625006 ). This work used eddy covariance data acquired and shared by the FLUXNET community, including the AmeriFlux, AfriFlux, AsiaFlux, CarboAfrica, LBA, and TERN- OzFlux networks. The FLUXNET eddy covariance data processing and harmonization was carried out by the ICOS Ecosystem Thematic Center, AmeriFlux Management Project and Fluxdata project of FLUXNET, with the support of CDIAC, and the OzFlux, ChinaFlux and AsiaFlux offices. The Guyaflux program belongs to the SOERE F-ORE-T which is supported annually by Ecofor, Allenvi and the French national research infrastructure ANAEE-F. The Guyaflux program also received support from the “Observatoire du Carbone en Guyane” and an “investissement d'avenir” grant from the Agence Nationale de la Recherche (CEBA, ref ANR-10-LABX-25-01). Funding for the site PA-SPn was provided by the North-South Centre of ETH Zurich. We acknowledge the World Climate Research Programme's Working Group on Coupled Modeling for the CMIP and thank the climate modeling groups for producing and making available their model output. For CMIP, the U.S. Department of Energy's Program for Climate Model Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in partnership with the Global Organization for Earth System Science Portals. Angela Tang and Taylor Rodenburg provided valuable comments to earlier drafts of this manuscript. We thank Dr. Tim Hill and two anonymous reviewers for their constructive comments on the manuscript.; References: Acevedo, O.C., Moraes, O.L.L., Degrazia, G.A., Fitzjarrald, D.R., Manzi, A.O., Campos, J.G., Is friction velocity the most appropriate scale for correcting nocturnal carbon dioxide fluxes? (2009) Agric. For. 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