A comparison of gap-filling algorithms for eddy covariance fluxes and their drivers

HIGHLIGHTS

  • who: Geosci. Instrum. Method. Data et al. from the School of Agriculture and Environment, The University of Western Australia have published the research work: A comparison of gap-filling algorithms for eddy covariance fluxes and their drivers, in the Journal: (JOURNAL)
  • what: Eight different gap-filling algorithms for estimating 16 meteorological drivers and nine algorithms for the three key ecosystem turbulent fluxes (sensible heat flux - Fh, latent heat flux - Fe, and net carbon flux - Fc ) were investigated, and their performance was evaluated based on datasets from five towers in Australia.
  • how: To test . . .

     

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