Evaluation of footprint models for fluxes analysis using the Eddy-Covariance technique over small areas

Authors

  • Ivan Mauricio Cely Toro Universidade Federal de Santa Maria, Santa Maria, RS, Brasil http://orcid.org/0000-0003-2008-681X
  • Ricardo Acosta Gotuzzo Universidade Federal de Santa Maria, Santa Maria, RS, Brasil
  • Débora Regina Roberti Universidade Federal de Santa Maria, Santa Maria, RS, Brasil
  • Jackson Ernani Fiorin Universidade Federal de Santa Maria, Santa Maria, RS, Brasil

DOI:

https://doi.org/10.5902/2179460X30701

Keywords:

Footprint, Eddy-covariance, Flux measurements

Abstract

Two models for footprint calculations are compared employing flux measurements in the planetary boundary layer. The calculations
are based on the analytical models by Kormann e Meixner (2001) [An analytical footprint model for non-neutral stratification.
Boundary-Layer Meteorology 99, 207–224] and by Schuepp et al. (1990) [Footprint prediction of scalar fluxes from analytical solutions of the difussion equation. Boundary-Layer Meteorology 50, 355-373]. The footprint density functions of a flux sensor are determined using eddy-covariance data. Those functions are integrated over surfaces given by quadrangular rectangles, in this case an agricultural field. This work ilustrates the features of each footprint model employing flux measurements with an eddy-covariance system of the SULFLUX network, installed on a agricultural field. Finally, it is presented the model that describes in a better way the flux measurements in small fields.

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References

Foken, T., Leclerc, M. Y. (2004). Methods and limitations in validation of footprint models. Agricultural and Forest Meteorology, 127(3-4), 223–234.

Garratt, J. R. (1992). The atmospheric boundary layer / J. R. Garratt. Cambridge University Press Cambridge ; New York, URL http://www.loc.gov/catdir/toc/cam031/91034340.html.

Kormann, R., Meixner, F. X. (2001). An analytical footprint model for non-neutral stratification. Boundary-Layer Meteorology, 99(2), 207–224, 0005074v1.

Neftel, A., Spirig, C., Ammann, C. (2008). Application and test of a simple tool for operational footprint evaluations. Environmental Pollution, 152(3), 644–652.

Pasquill, F. (1972). Some aspects of boundary layer description. Quarterly Journal of the Royal Meteorological Society, 98(417), 469–494.

R Core Team (2017). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna,Austria, URL https://www.R-project.org/.

Schuepp, P. H., Leclerc, M. Y., MacPherson, J. I., Desjardins, R. L. (1990). Footprint prediction of scalar fluxes from analytical

solutions of the diffusion equation. Boundary-Layer Meteorology, 50(1), 355–373, URL https://doi.org/10.1007/BF00120530.

Vesala, T., Kljun, N., Rannik, Ü., Rinne, J., Sogachev, A., Markkanen, T., Sabelfeld, K., Foken, T., Leclerc, M. Y. (2008). Flux and concentration footprint modelling: State of the art. Environmental Pollution, 152(3), 653–666.

Waldo, S., Chi, J., Pressley, S. N., O’Keeffe, P., Pan, W. L., Brooks, E. S., Huggins, D. R., Stöckle, C. O., Lamb, B. K. (2016). Assessing carbon dynamics at high and low rainfall agricultural sites in the inland Pacific Northwest US using the eddy covariance method. Agricultural and Forest Meteorology, 218-219, 25–36.

Xenakis, G. (2016). FREddyPro: Post-Processing EddyPro Full Output File. URL https://CRAN.R-project.org/

package=FREddyPro, r package version 1.0.

Published

2018-03-22

How to Cite

Toro, I. M. C., Gotuzzo, R. A., Roberti, D. R., & Fiorin, J. E. (2018). Evaluation of footprint models for fluxes analysis using the Eddy-Covariance technique over small areas. Ciência E Natura, 40, 93–99. https://doi.org/10.5902/2179460X30701

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