A simple method for estimating frequency response corrections for eddy covariance systems

By W. Massman. 2000

591 citations recorded by the source corpus.

Subfields: Computational Mechanics, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/49a7bf702b74b5b5494bf0dbd8972e0d07f1d8e8

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In Computational Mechanics

In Environmental Engineering

In Global and Planetary Change

Citations in the corpus

SHEBA flux–profile relationships in the stable atmospheric boundary layer (2007, methodology): “Comprehensive analysis of different flux frequency response correction methods (Moore 1986: Horst 2000; Massman 2000; and their variations) was performed by Clement (2004).”
‘Breathing’ of the terrestrial biosphere: lessons learned from a global network of carbon dioxide flux measurement systems (2008, background): “Systematic bias errors in hourly integrated eddy fluxes occur when high-frequency fluctuations are filtered or dampened by the sensor’s mechanical or electrical design, its placement above the ground or the data-acquisition system (Moore 1986; Suyker and Verma 1993; Massman 2000).”
Eddy-covariance data with low signal-to-noise ratio: time-lag determination, uncertainties and limit of detection (2015, background): “Identifying, minimising and correcting sources of systematic bias in flux measurements has been an active area of research (Businger, 1986; Lenschow and Raupach, 1991; Lenschow et al., 1994; Mann and Lenschow, 1994; Massman, 2000; Massman and Lee, 2002).”
Relative Humidity Effect on the High-Frequency Attenuation of Water Vapor Flux Measured by a Closed-Path Eddy Covariance System (2009, unknown): “However, the low-frequency attenuation is included in the ﬁnal ﬂux values using a ﬁrst-order transfer function with a high-pass time constant corresponding to block averaging, according to Massman (2000).”
Documentation and Instruction Manual of the Eddy-Covariance Software Package TK3 (update) (2011, methodology): “Other used methods (Eugster and Senn 1995; Moncrieff et al. 1997; Massman 2000) are not implemented.”
Uncertainty in Eddy Covariance Flux Estimates Resulting from Spectral Attenuation (2004, methodology): “This expression assumes that recursive filtering is not used when separating the mean and fluctuating quantities so that the ‘a’ term of Massman (2000) is not necessary (Massman 2001).”
Effects of different eddy covariance correction schemes on energy balance closure and comparisons with the modified Bowen ratio system (2008, methodology): “…calculating scalar fluxes using the mean and covariance of each scalar with the vertical wind, making frequency domain corrections to the fluxes for path-length averaging using the filter coefficients summarized in Massman (2000); and adjusting fluxes for air density artifacts (Webb et al., 1980).”
FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem-Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities (2001, unknown): “Fully systematic bias errors associated with imperfect sensor response, sensor orientation, and sampling frequency and duration are typically compensated by applying spectral transfer functions to the flux covariance calculations (Moore 1986; Massman 2000).”