Abstract
Micrometeorological heat, water, and CO2 fluxes have been widely monitored with the eddy covariance (EC) method. Its uncertainty information should be as important as the flux measurement itself and is indispensable to studies addressing site intercomparison, model validation, and model-data synthesis. Therefore, we estimated the fractional uncertainty φ using EC data collected over various types of land cover and at different instrumental heights. We also investigated φ characteristics according to a spatiotemporal scale and the flux averaging interval τ. As a result, we suggest that if φ is estimated under the EC measurement conditions satisfying stationarity, it is stable and uniform regardless of the land cover, spatiotemporal scale, and kind of flux. Based on the constancy of φ, we determined the baseline as a function of τ for a stationarity or a heterogeneity index of the EC measurement.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.