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Title 2023 Eddy Covariance Data from Johnstown Castle
License CC-BY-NC
Teagasc Department Soil, Environment and Land-Use Research
Téama Crops, Environment and Land Use
Cur síos
Language English
Principal Investigator (PI) Dr Rachael Murphy
Principal Investigator (PI) email rachael.murphy@teagasc.ie
Principal Investigator (PI) ORCID https://orcid.org/0000-0002-7009-938X
Geographic coverage The experimental site, Johnstown Caste, is located in the South-East of Ireland, in Co. Wexford. (52.30°N, 6.40°W, 67 m above sea level).The mean ± standard deviation annual air temperature and rainfall (2009 – 2018) for this region is 10 ± 4 °C and 952 ± 352 mm, respectively
Digital Object Identifier (DOI) doi.org/10.82253/1FKA-Y046
Citation Murphy, R. (2025). 2023 Eddy Covariance Data from Johnstown Castle [Dataset]. Teagasc - The Irish Agriculture and Food Development Authority. https://doi.org/10.82253/1FKA-Y046
Rights notes This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator. CC BY-NC includes the following elements: BY: credit must be given to the creator. NC: Only noncommercial uses of the work are permitted.
Equipment used An eddy covairnace mast was installed with a 3-D sonic anemometer (Gill Windmaster Pro) coupled with an enclosed infrared gas analyser (IGRA) (LI-7200RS) mounted at 2.8 m to measure fluctuations in the 3-D wind components and gas concentrations of CO2 and H2O at a frequency of 10 Hz. Greenhouse concentration data was logged to the LI7200RS Analazer Interface Unit (AIU). Raw data was processed using the eddypro engine (LICOR, version 7.0.6). Processing Raw half-hourly GHG fluxes were statistically evaluated and screened as outlined in Vickers and Mahrt (1997). Double rotation was performed to compensate for the anemometer tilt by nullifying the average cross-stream and vertical wind components (Kaimal and Finnigan, 1994). Spectral attenuation effects following analytic methods described in Fratini et al. (2012) and Moncrieff et al. (2004) determined low and high-pass spectral correction factors for the data, respectively. Air density fluctuations were accounted for according to Webb et al. (1980) for CO2 Random uncertainty was calculated according to Finkelstein and Sims (2001) The flux footprint contribution was calculated according to Kljun et al. (2004) For technical queries on the tower contact James Rambaud, George Gleasure, Rachael Murphy or Morad Mirzaee For data queries contact Rachael Murphy and Morad Mirzaee
Time of data collection 2023