Published May 12, 2020 | Version v2
Dataset Open

Dataset for "Suitability of fiber-optic distributed temperature sensing to reveal mixing processes and higher-order moments at the forest-air interface"

Creators

  • 1. Finnish Meteorological Institute
  • 2. University of Bayreuth
  • 3. Geological Survey of Finland
  • 4. University of Helsinki

Description

This record contains data used in Peltola et al. (2021): Suitability of fiber-optic distributed temperature sensing to reveal mixing processes and higher-order moments at the forest-air interface, Atmospheric Measurement Techniques.

The record contains 30-min statistics calculated from the DTS data and 3D sonic anemometers.

Please see the variable attributes in the netCDF files for more information.

 

Reference

Peltola, O., Lapo, K., Martinkauppi, I., O'Connor, E., Thomas, C. K., and Vesala, T.: Suitability of fiber-optic distributed temperature sensing to reveal mixing processes and higher-order moments at the forest-air interface, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2020-260, in review, 2020.

Files

Files (13.3 MB)

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md5:774f7c2136cab168c773f45e36058fbe
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Additional details

Funding

Novel perspectives on gas transfer in the nocturnal stable boundary layer implications on ecosystem carbon balance estimation on multiple time scales 315424
Academy of Finland
DarkMix – Illuminating the dark side of surface meteorology: creating a novel framework to explain atmospheric transport and turbulent mixing in the weak-wind boundary layer 724629
European Commission

References

  • Peltola, O., Lapo, K., Martinkauppi, I., O'Connor, E., Thomas, C. K., and Vesala, T.: Suitability of fiber-optic distributed temperature sensing to reveal mixing processes and higher-order moments at the forest-air interface, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2020-260, in review, 2020.