A performance evaluation of despiking algorithms for eddy covariance data.

Domenico Vitale1,2

  • 1Department for Innovation in Biological, Agro-food and Forest systems (DIBAF), University of Tuscia, via San Camillo de Lellis, 01100, Viterbo, Italy. domvit@unitus.it.

Scientific Reports
|June 3, 2021
PubMed
Summary

A new robust functional method improves spike detection in noisy, high-frequency eddy covariance data. This automated procedure enhances environmental monitoring data quality.