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Research Article Open access CC BY 4.0

Eddy Covariance Measurements of Turbulent Heat Fluxes over a Grass-covered Surface in a Tropical Location

Omodara E. Obisesan, Oladimeji A. Babatunde, Opeyemi R. Omokungbe, Ayodele P. Olufemi

International Journal of Environment and Climate Change · pp. 604–616 · Published 1 Jun 2023

10.9734/ijecc/2023/v13i81989

Abstract

In this study, an Eddy Covariance (EC) system was deployed to measure the turbulent heat fluxes (sensible and latent heat fluxes) at a farmland located at Obafemi Awolowo University, Ile-Ife, Nigeria. The period of measurement was between 2016 and 2019. The surface of the measurement area was covered by grass (Axonopus fissifolius) and changes from leafy-green during the wet season to dry twigs during the dry season. The sensible heat flux, Hs obtained ranged between -0.8 and 181.9 Wm-2 while the latent heat flux, Hl varied between 0.9 and 218.0 Wm-2. The maximum daytime value of Hs peaked in January while the maximum daytime value of Hl peaked in October. The sensible heat flux was 59 % higher than the latent heat flux during the Harmattan months (January, February and December), while the latent heat flux was 63 % higher than the sensible heat flux during the wet months (April - November). The study concluded that 91 % of the energy available at the surface during the period of study, was used for evapotranspiration while only 9 % was used for sensible heating as shown by the distribution of the Bowen ratio.

Eddy covariance turbulent heat fluxes sensible heat flux latent heat flux

References (27)

  1. 1 Atmospheric Boundary Layer Flows [DOI]
  2. 2 Spectral characteristics of surface‐layer turbulence [DOI]
  3. 3 Sonic Anemometer Tilt Correction Algorithms [DOI]
  4. 4 Tools for quality assessment of surface-based flux measurements [DOI]
  5. 5 Temperature measurement with a sonic anemometer and its application to heat and moisture fluxes [DOI]
  6. 6 Eddy Covariance [DOI]
  7. 7 Measuring fluxes of trace gases and energy between ecosystems and the atmosphere – the state and future of the eddy covariance method [DOI]
  8. 8 Introduction to Micrometeorology [DOI]
  9. 9 Impact of post-field data processing on eddy covariance flux estimates and energy balance closure [DOI]
  10. 10 Changes in the surface energy budget after fire in boreal ecosystems of interior Alaska: An annual perspective [DOI]
  11. 11 Quality control of CarboEurope flux data – Part 2: Inter-comparison of eddy-covariance software [DOI]
  12. 12 Eddy covariance raw data processing for CO2 and energy fluxes calculation at ICOS ecosystem stations [DOI]
  13. 13 Uncertainty of eddy covariance flux measurements over an urban area based on two towers [DOI]
  14. 14 A statistical data screening procedure [DOI]
  15. 15 The fundamental equation of eddy covariance and its application in flux measurements [DOI]
  16. 16 Systematic errors in ground heat flux estimation and their correction [DOI]
  17. 17 Measurements of turbulent transfer in the near‐surface layer over a rice paddy in China [DOI]
  18. 18 Seasonal and interannual variation of radiation and energy fluxes over a rain-fed cropland in the semi-arid area of Loess Plateau, northwestern China [DOI]
  19. 19 Classification and assessment of turbulent fluxes above ecosystems in North-America with self-organizing feature map networks [DOI]
  20. 20 Surface renewal and eddy covariance measurements of sensible and latent heat fluxes of cotton during two growing seasons [DOI]
  21. 21 A new method for estimation of sensible heat flux from air temperature [DOI]
  22. 22 A review of measurement and modelling results of particle atmosphere–surface exchange [DOI]
  23. 23 Seasonality of energy and water fluxes in a tropical moist forest in Vietnam [DOI]
  24. 24 Sensible Heat Flux by Surface Layer Scintillometry and Eddy Covariance over a Mixed Grassland Community as Affected by Bowen Ratio and MOST Formulations for Unstable Conditions [DOI]
  25. 25 Estimation of Atmospheric Turbidity Parameters in Ile-Ife, Nigeria [DOI]
  26. 26 Quarterly Journal of the Royal Meteorological Society [DOI]
  27. 27 Correction of flux measurements for density effects due to heat and water vapour transfer [DOI]

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