Handbook of micrometeorology : a guide for surface flux measurement and analysis

By Xuhui Lee, W. Massman, Beverly E. Law. 2004

655 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/4823077151e1cc23088fd0d9337cdbd8acd49183

How researchers see this paper

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

1. T. Foken
2. Matthias Mauder
3. G. Fratini
4. Steve Oncley
5. M. Aubinet
6. M. Göckede
7. Bernard Heinesch
8. M. Yernaux

Citations in the corpus

• The energy balance experiment EBEX-2000. Part II: Intercomparison of eddy-covariance sensors and post-field data processing methods (2007, methodology): “University of Bayreuth (Mauder and Foken 2004), which was developed according to the guidelines composed by Lee et al. (2004). The processing steps were performed in the order as they are presented in Table 2.”
• The energy balance closure problem: an overview. (2008, methodology): “…density correction of scalar fluxes of H2O and CO2 according to Webb et al. (1980); iteration of the correction steps because of their interacting dependence and data quality analysis according to Foken andWichura (1996) and Vickers andMahrt (1997) in the updated version by Foken et al. (2004).”
• Effects of different eddy covariance correction schemes on energy balance closure and comparisons with the modified Bowen ratio system (2008, background): “…1 0:8833089876yt 1 (1) where x is the original scalar time series and y is the filtered time series; rotation to a natural coordinate system (Lee et al., 2004); removing signal asynchrony by maximizing the covariance between each scalar and the vertical wind (e.g., Eugster et al.…”
• Analysis of second‐order moments in surface layer turbulence in an Alpine valley (2009, background): “As a first consequence of stationarity, when the averaging interval is further increased, variance and covariance values should not change after they have reached a steady value, implied by the supposed existence of an integral time-scale (Lee et al., 2004).”
• Towards a consistent eddy-covariance processing: an intercomparison of EddyPro and TK3 (2014, methodology): “The resulting TK2 software included all state of the art flux corrections (Lee et al., 2004) and was extensively compared with other publically available EC-software (Mauder et al., 2008).”
• Random and systematic CO2 flux sampling errors for tower measurements over forests in the convective boundary layer (2009, background): “Flux associated with such motions could be related to deep convection (boundarylayer scale eddies), large roll vortices and possibly local circulations due to topographical or surface heterogeneity, for example motions related to differential surface heating (Mahrt et al., 2001; Lee et al., 2004).”
• Some methodological questions concerning advection measurements: a case study (2007, background): “This offset probably differs from one sonic type to another and could be tested by placing the sonic in a windless anechoid chamber (Staebler 2003; Lee et al. 2004) (b) A dynamic offset could also appear, due to flow perturbation induced by the struts of the anemometer and the sensors themselves or…”
• Documentation and Instruction Manual of the Eddy-Covariance Software Package TK3 (update) (2011, methodology): “There are several papers and books available, where the principles of the use of the eddycovariance method are discussed (Kaimal and Finnigan 1994; Aubinet et al. 2000; Aubinet et al. 2003; Lee et al. 2004; Foken 2008a; Aubinet et al. 2012; Foken et al. 2012b).”
• Processing and quality control of flux data during LITFASS-2003 (2006, methodology): “In addition to instrumental uncertainties, it is necessary to apply several corrections, conversions and transformations to the measured covariance in order to obtain the turbulent flux (Stull 1988; Kaimal and Finnigan 1994; Lee et al. 2004).”
• Eddy correlation flux measurements: The sediment surface area that contributes to the flux (2007, background): “This rotation eliminates errors due to so-called sensor tilt and aligns the mean current direction with the x axis, while the mean velocities in both the y and z direction ( u¯ y , u¯ z ) are nullified (e.g., Aubinet et al. 2000; Lee et al. 2004).”