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Assessing Spatial Representativeness of Global Flux Tower Eddy-Covariance Measurements Using Data from FLUXNET2015

Abstract Large datasets of carbon dioxide, energy, and water fluxes were measured with the eddy-covariance (EC) technique, such as FLUXNET2015. These datasets are widely used to validate remote-sensing products and benchmark models. One of the major challenges in utilizing EC-flux data is determinin...

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Autori principali: Junjun Fang, Jingchun Fang, Baozhang Chen, Huifang Zhang, Adil Dilawar, Man Guo, Shu’an Liu
Natura: Artigo
Lingua:Inglês
Pubblicazione: Nature Portfolio 2024-06-01
Serie:Scientific Data
Accesso online:https://doi.org/10.1038/s41597-024-03291-3
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