Articles | Volume 15, issue 2
https://doi.org/10.5194/bg-15-631-2018
https://doi.org/10.5194/bg-15-631-2018
Research article
 | 
31 Jan 2018
Research article |  | 31 Jan 2018

New gap-filling and partitioning technique for H2O eddy fluxes measured over forests

Minseok Kang, Joon Kim, Bindu Malla Thakuri, Junghwa Chun, and Chunho Cho

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Short summary
We proposed a new data processing technique to reduce the uncertainty of H2O fluxes measured using the eddy covariance method, which is widely used to observe mass/energy fluxes between biosphere and atmosphere. A special feature of the proposed technique is the merging of two existing methods a new method. Such a strategy strengthens the strength and makes up for the weakness of the original methods. It will contribute to the standardization of eddy covariance data processing.
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