According to Mauder and Foken (2004), the value 0 is indicative of good data
quality, which can be used in fundamental research, and 1 is indicative of data that
can be used for long-term observations. A ranking 2 suggests that this data is of
poor quality and should be disregarded. These bad quality data, together with data
removed in the first filtering, should be replaced by gap-filling processes.
An instrumented observation tower of about 30 m in height, located on flat
terrain with homogeneous cover within a radius of several hundred meters,
(Fig. 3.16) should assure the collection of good quality data thereby reducing
problems associated with day or night-time advection.
References
Aubinet, M., Grelle, A., Ibrom, A., Rannik, Ü., Moncrieff, J., Foken, T., et al. (2000). Estimates of
the annual net carbon and water exchange of forests: The Euroflux methodology. Advances in
Ecological Research, 30, 113–175.
Baldocchi, D. D. (1995). Instrumentation III (Open and Closed Path CO 2 and Water Vapor
Sensors), Lecture 12. In Advanced Short Course on Biometeorology and Micrometeorology,
Università di Sassari, Italia.
Bendat, J., & Piersol, A. J. (1971). Random data: Analysis and measurement procedures. Wiley,
407 pp.
Blackadar, A. K. (1997). Turbulence and diffusion in the atmosphere. Springer, 185 pp.
Burba, G., & Anderson, D. (2010). A Brief Practical Guide to Eddy Covariance Flux
Measurements. LI-COR Biosciences, 213 pp.
Burba, G., McDermit, D. K., Grelle, A., Anderson, D. J., & e Xu, L. (2008). Addressing the
influence of instrument surface heat exchange on the measurements of CO 2 flux from
open-path gas analyzers. Global Change Biology, 14(8), 1854–1876.
Businger, J. A., Wingaard, J. C., Izumi, Y., & Bradley, E. F. (1971). Flux profile relationships in
the Atmospheric surface layer. Journal of the Atmospheric Sciences, 28, 181–189.
Chapra, S. C., & Canale, R. P. (1989). Numerical methods for engineers, 2nd edn, 813 pp.
Foken, T. (2017). Micrometeorology, 2nd edn, Springer, Berlin, 362 pp.
Foken, T., & Wichura, B. (1996). Tools for quality assessing of surface-based flux measurements.
Agricultural and Forest Meteorology, 78, 83–105.
Fig. 3.16 A 30 m
observation tower on a flat
surface
3.7 Eddy Covariance Method
101
quality, which can be used in fundamental research, and 1 is indicative of data that
can be used for long-term observations. A ranking 2 suggests that this data is of
poor quality and should be disregarded. These bad quality data, together with data
removed in the first filtering, should be replaced by gap-filling processes.
An instrumented observation tower of about 30 m in height, located on flat
terrain with homogeneous cover within a radius of several hundred meters,
(Fig. 3.16) should assure the collection of good quality data thereby reducing
problems associated with day or night-time advection.
References
Aubinet, M., Grelle, A., Ibrom, A., Rannik, Ü., Moncrieff, J., Foken, T., et al. (2000). Estimates of
the annual net carbon and water exchange of forests: The Euroflux methodology. Advances in
Ecological Research, 30, 113–175.
Baldocchi, D. D. (1995). Instrumentation III (Open and Closed Path CO 2 and Water Vapor
Sensors), Lecture 12. In Advanced Short Course on Biometeorology and Micrometeorology,
Università di Sassari, Italia.
Bendat, J., & Piersol, A. J. (1971). Random data: Analysis and measurement procedures. Wiley,
407 pp.
Blackadar, A. K. (1997). Turbulence and diffusion in the atmosphere. Springer, 185 pp.
Burba, G., & Anderson, D. (2010). A Brief Practical Guide to Eddy Covariance Flux
Measurements. LI-COR Biosciences, 213 pp.
Burba, G., McDermit, D. K., Grelle, A., Anderson, D. J., & e Xu, L. (2008). Addressing the
influence of instrument surface heat exchange on the measurements of CO 2 flux from
open-path gas analyzers. Global Change Biology, 14(8), 1854–1876.
Businger, J. A., Wingaard, J. C., Izumi, Y., & Bradley, E. F. (1971). Flux profile relationships in
the Atmospheric surface layer. Journal of the Atmospheric Sciences, 28, 181–189.
Chapra, S. C., & Canale, R. P. (1989). Numerical methods for engineers, 2nd edn, 813 pp.
Foken, T. (2017). Micrometeorology, 2nd edn, Springer, Berlin, 362 pp.
Foken, T., & Wichura, B. (1996). Tools for quality assessing of surface-based flux measurements.
Agricultural and Forest Meteorology, 78, 83–105.
Fig. 3.16 A 30 m
observation tower on a flat
surface
3.7 Eddy Covariance Method
101