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EddyPro Vorticity Covariance Data Processing Software
EddyPro Vorticity Covariance Data Processing Software
Product details
EddyPro®It is a powerful vorticity covariance data processing software used to calculate CO2、 H2O、CH4Other trace gases and energy fluxes. EddyPro®Field version with SmartFlux®The system is installed on the field vorticity monitoring station and can provide real-time processed flux data. EddyPro®The local version can be installed on your personal computer and various processing methods can be selected to perform in-depth analysis on the raw data obtained by the instrument.
In Express mode, common data settings can be quickly and easily processed, while Advanced mode has multiple options for expert researchers to flexibly choose from.
selectEddyPro®The reason
√ Support SmartFlux®2 systems for real-time flux calculation in the field
√ Integrate data calculation from Biomet biometeorological sensor system and flux system
The output result is the only data source for Tovi vorticity covariance data analysis software
Comprehensive spectral assessment using both analytical and in situ methods
√ Can achieve accurate flux calculation for the vast majority of vorticity covariance studies
√ Easy to learn - even beginners engaged in vorticity covariance research can quickly master it
√ Convenient to use - easily click to complete the running of multi-step programs
√ GHG data that can directly run LI-COR vorticity covariance system
√ Based on IMECC*Platform development, validated by EdiRE and other commonly used software
The default settings and parameters are based on the most commonly used conventional flux calculation methods
√ Can provide GHG Europe and AmeriFlux standard format data output
√ Complete online video tutorials
Intelligent program management facilitates the recalculation of raw data
Developed and maintained by a professional LI-COR technical support team
*Note: IMECC stands for Infrastructure for Measures of the European Carbon Cycle
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EddyPro Express VSEddyPro Advanced
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EddyPro Express (Default correction, quick and convenient) |
EddyPro Advanced (User selectable, powerful and flexible |
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| Coordinate rotation correction | Secondary coordinate axis rotation | Secondary coordinate axis rotation Triple axis rotation Plane coordinate fitting based on wind zone Plane coordinate fitting based on wind zone without velocity deviation Do not make any corrections |
| Except for trend correction | block average | block average Linear Dividing Trend moving average Index weighted average |
| Data synchronization | Maximum covariance under default value (cyclic correlation) | Maximum covariance at default value Maximum covariance under missing default values constant Do not make any corrections |
| statistical test | Outlier counting/removal amplitude resolution Missing value Absolute limit Skewness and kurtosis |
Outlier counting/removal amplitude resolution Missing value Absolute limit Skewness and kurtosis Discontinuities time-lag angle of attack Horizontal wind stability Do not conduct testing |
| density correction | Convert to blending ratio through WPL correction (Webb et al., 1980) or point-to-point conversion | Use (or convert) mixing ratio (Burba et al., 2011) For open circuit vorticity systems, correction was made using the Webb et al. (1980) method; For closed-loop vorticity systems, correction was made using the LBROM et al. (2007) method Correction of non growing season absorption for LI-7500 (Burba et al., 2008) Do not make any corrections |
| Ultrasonic virtual temperature correction | Van Dijk et al. (2004) | Van Dijk et al. (2004) |
| Score correction | High pass filtering correction (Moncrieff et al., 2004) Low pass filtering correction (Moncrieff et al., 1997) |
High pass filtering correction (Moncrieff et al., 2004) Low pass filtering correction, optional: Moncrieff et al. (1997) |
| Angle of attack correction | correct | correct |
| Data Quality Control Label | According to Foken et al. (2004) for testing | According to Mauder and Foken (2004) for testing Mark according to Foken (2003) Mark after performing this operation (Gockede et al., 2004) |
| Footprint estimation | Kljun et al. (2004) | Kljun et al. (2004) Kormann and Meixner (2001) Hsieh et al. (2000) |
| LI-7700Spectral correction | Yes (McDermitt et al, 2010) | Yes (McDermitt et al, 2010) |
| File output | Complete output of flux, quality labeling, and other data US Flux Data Format GHG European Flux Data Format Raw data statistics |
List options: Complete output of flux, quality labeling, and other data US Flux Data Format GHG European Flux Data Format Raw data statistics Full length spectrum and co spectrum analysis Box spectrum and co spectrum analysis Box type cumulative frequency Details of steady-state and turbulence detection Raw time series data after each statistical detection/correction |
References:
Foken, T., M. Göckede, M. Mauder, L. Mahrt, B. D. Amiro, and J. W. Munger. 2004. Post-field data quality control. In X. Lee, et al. (ed.), Handbook of Meteorology. 35: 409-414.
Fratini, G., N. Arriga, C. Trotta, D. Papale. 2010. Underestimation of water vapour fluxes by eddy covariance closed-path systems due to relative humidity effects. American Geophysical Union Fall Meeting. Abstract #B11D-0400.
Göckede, M., C. Rebmann, T. Foken, 2004. A combination of quality assessment tools for eddy covariance measurements with footprint modelling for the characterisation of complex sites. Agricultural and Forest Meteorology, 127: 175-188.
Horst, T. W. 1997. A simple formula for attenuation of eddy fluxes measured with first-order-response scalar sensors. Boundary Layer Meteorology, 82: 219-233.
Ibrom, A., E. Dellwik, H. Flyvbjerg, N. O. Jensen, and K. Pilegaard. 2007. Strong low-pass filtering effects on water vapour flux measurements with closed path eddy covariance systems. Agricultural and Forest Meteorology, 147: 140-156.
Kaimal, J. C., and J. E. Gaynor. 1991. Another look at sonic thermometry, Boundary Layer Meteorology, 56: 401-410.
Kljun, N., P. Calanca, M. W. Rotach, and H. P. Schmid. 2004. A simple parameterization for flux footprint predictions. Boundary Layer Meteorology, 112: 503-523.
McDermitt, D., G. Burba, L. Xu, T. Anderson, A. Komissarov, B. Riensche, J. Schedlbauer, G. Starr, D. Zona, and W. Oechel, S. Oberbauer, and S. Hastings. 2010. A new low-power, open path instrument for measuring methane flux by eddy covariance. Applied Physics B: Laser and Optics, 102: 391-405.
Moncrieff, J. B., R. Clement, J. Finnigan, and T. Meyers. 2004. Averaging, detrending and filtering of eddy covariance time series, in Handbook of micrometeorology: A guide for surface flux measurements, eds. Lee, X., W. J. Massman and B. E. Law. Dordrecht: Kluwer Academic, 7-31.
Moncrieff, J. B., J. M. Massheder, H. de Bruin, J. Elbers, T. Friborg, B. Heusinkveld, P. Kabat, S. Scott, H. Soegaard, and A. Verhoef. 1997. A system to measure surface fluxes of momentum, sensible heat, water vapor and carbon dioxide. Journal of Hydrology, 188-189: 589-611.
Schuepp, P. H., M. Y. Leclerc, J. I. MacPherson, and R. L. Desjardins. 1990. Footprint prediction of scalar fluxes from analytical solutions of the diffusion equation. Boundary Layer Meteorology, 50: 355-373.
Van Dijk, A., A. F. Moene, and H. A. R. de Bruin. 2004. The principles of surface flux physics: Theory, practice and description of the ECPACK library, Internal Report 2004/1, Meteorology and Air Quality Group, Wageningen University, Wageningen, the Netherlands, 99 pp.
Vickers, D. and L. Mahrt. 1997. Quality control and flux sampling problems for tower and aircraft data. Journal of Atmospheric and Oceanic Technology, 14: 512-526.
Webb, E. K., G. I. Pearman, and R. Leuning. 1980. Correction of flux measurements for density effects due to heat and water vapour transfer. Quarterly Journal of the Royal Meteorological Society, 106: 85-100.
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