Eddy Covariance Systems

Powerful. Intuitive. Flexible.

EddyPro™ is an open source software application developed, maintained and supported by LI-COR Biosciences. It originates from ECO2S, the Eddy COvariance COmmunity Software project, which was developed as part of the Infrastructure for Measurement of the European Carbon Cycle (IMECC-EU) research project. We gratefully acknowledge the IMECC consortium, the ECO2S development team, the University of Tuscia (Italy) and scientists around the world who assisted with development and testing of the original version of this software. For more information about the ECO2S project click here.

EddyPro is available for free download from LI-COR Biosciences:


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Version 3.0 | Released 2/6/2012


Over 1000+ downloads in 65 countries.

GHG Sample Data Download a Sample GHG Dataset ?

This 24 hour dataset is from a landfill site using an open path system (LI-7700 and LI-7500A) to monitor methane emissions. The calculated fluxes will have a very different pattern than the typical diurnal cycle for natural ecosystems. This short dataset allows you to explore many of the advanced features of EddyPro. However, planar fit and in-situ spectral corrections typically will require several weeks of raw data to produce appropriate outputs.


EddyPro Help View EddyPro Help ?

Online help provides tutorials to help you learn EddyPro and to help you select the best settings for each project. It also provides a comprehensive explanation of data processing and a complete scientific reference.

eddypro software

EddyPro™ 3.0 is a powerful application that computes fluxes of momentum, carbon dioxide, water vapor, methane, and other trace gases with the eddy covariance method. In Express Mode, EddyPro quickly processes data with commonly used settings. Advanced Mode presents a large variety of choices for experts who need flexibility and control over the data processing options.

Why EddyPro™?


Express (Default) Settings
Quick and Simple		 Advanced Settings
Powerful and Flexible
Axis rotation for tilt correction
  • Double rotation
  • Double rotation
  • Triple rotation
  • Sector-wise planar fit (Wilczak et al 2010)
  • Sector-wise planar fit with no velocity bias (van Dijk et al. 2004)
  • None (Option to not apply correction)
Detrending
  • Block averaging
  • Block averaging
  • Linear detrending
  • Running mean
  • Exponential running mean
Time lag compensation
  • Maximum covariance with default (circular correlation)
  • Maximum covariance with default
  • Maximum covariance without default
  • Constant
  • None (Option to not apply compensation)
Statistical tests (Vickers and Mahrt, 1997)
  • Spike count/removal
  • Amplitude resolution
  • Dropouts
  • Absolute limits
  • Skewness and kurtosis
  • Spike count/removal
  • Amplitude resolution
  • Dropouts
  • Absolute limits
  • Skewness and kurtosis
  • Discontinuities
  • Time lags
  • Angle of attack
  • Steadiness of horizontal wind
  • None (Option to not apply tests)
Compensation for density fluctuations
  • Webb-Pearman-Leuning (Webb et al., 1980) or point-to-point conversion to mixing ratio
  • Use (or convert to) mixing ration (Burba et al. 2011)
  • Webb et al., 1980 (open path) / Ibrom et al., 2007 (closed path)
  • Optional off-season upatake correction for LI-7500 (Burba et al. 2008)
  • None (Option to not apply compensation)
Sonic temperature correction for humidity
  • van Dijk et al. (2004)
  • van Dijk et al. (2004)
Spectral corrections
  • Analytic high-pass filtering correction (Moncrieff et al., 2004)
  • Analytic low-pass filtering correction (Moncireff et al., 1997)
  • Analytic high-pass filtering correction (Moncrieff et al., 2004)
  • Low-pass filtering, select and configure:
    • Moncrieff et al. (1997)
    • Horst (1997)
    • Ibrom et al. (2007)
    • Additional correction for sensor separation (Horst and Lenschow , 2009)
Angle of attack corrections
  • Yes
  • Yes
Quality control flags
  • Tests according to Foken et al. (2004)
  • Tests according to Mauder and Foken (2004)
  • Flagging according to Foken (2003)
  • Flagging after Göckede et al. (2006)
Footprint estimation
  • Kljun et al. (2004)
  • Kljun et al. (2004)
  • Kormann and Meixner (2001)
  • Hsieh et al. (2000)
Spectroscopic correction for LI‑7700
  • Yes (McDermitt et al., 2010)
  • Yes (McDermitt et al., 2010)
Output Files
  • Full (rich) output with fluxes, quality flags and much more
  • Ameriflux format
  • GHG Europe format
  • Raw data Statistics
  • Select from the list:
    • Full (rich) ouput with fluxes, quality flags and much more (standard format or available results only)
    • Ameriflux format
    • GHG Europe format
    • Raw data Statistics
    • Full Length Spectra and Co-Spectra
    • Binned Spectra and Co-Spectra
    • Binned Ogives
    • Details of steady state and turbulence tests
    • Raw data time series after each processing step

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.

*Infrastructure for Measurements of the European Carbon Cycle