Averaging, Detrending, and Filtering of Eddy Covariance Time Series

By J. Moncrieff, R. Clement, J. Finnigan, T. Meyers. 2004

669 citations recorded by the source corpus.

Subfields: Atmospheric Science, Computational Mechanics, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/e9ed9a96e1b018479fe8965979a41dd20be3477f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Peter Berg
2. J. Finnigan

In Computational Mechanics

1. R. Shaw
2. Douglas A. Johnson
3. A. Wolf
4. J. Finnigan
5. E. Laca
6. K. Akshalov
7. N. Saliendra
8. Gabriel G. Katul

In Global and Planetary Change

1. R. Shaw
2. Peter Berg
3. Douglas A. Johnson
4. A. Wolf
5. Patricia L. Wiberg
6. J. Finnigan
7. E. Laca
8. H. Røy

Citations in the corpus

• Effects of different eddy covariance correction schemes on energy balance closure and comparisons with the modified Bowen ratio system (2008, background): “…fulfill a key assumption of the EC technique, namely that the flux measurement represents the flux perpendicular to the surface out of a nominal control volume defined at its top by the sensor and neglecting horizontal divergence so that the system becomes one-dimensional (Moncrieff et al., 2004).”
• Quantifying soybean evapotranspiration using an eddy covariance approach (2018, positive): “…rotation, time-lag compensation, 30-min block averaging, and statistical tests(Vickers and Mahrt, 1997); spike filtering and spectral correction (Moncrieff et al., 2004, 1997); anemometer temperature correction for humidity (Van Dijk et al., 2004); and, compensation for air density fluctuations…”
• Seasonal Variations of Carbon Dioxide, Water Vapor and Energy Fluxes in Tropical Indian Mangroves (2016, background): “Frequency response corrections are applied to compensate for flux losses at different frequencies (eddy sizes) [29,30].”
• Eddy correlation flux measurements: The sediment surface area that contributes to the flux (2007, methodology): “Other procedures exist to isolate u 9 x , for example, through linear detrending of the measured data, or more advanced, through filtering the recorded data (e.g., Aubinet et al. 2000; Moncrieff et al. 2004).”
• Double-averaging methodology and its application to turbulent flow in and above vegetation canopies (2008, background): “Difficulties occur, however, when Reynolds equations, derived using (2) and (3) are applied to atmospheric measurements that do not obey those assumptions, typically because the flow is non-stationary, which violates (2) ( Moncrieff et al. 2004 ) or the space is multiply connected as in a plant cano”