Eddy covariance measurements of carbon dioxide, energy and water fluxes at a cropland and a grassland on lowland peat soils, East Anglia, UK, 2016-2019

https://doi.org/10.5285/2fe84b80-117a-4b19-a1f5-71bbd1dba9c9

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This dataset is available under the terms of the Open Government Licence

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This dataset contains time series observations of surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) measured at two managed lowland peatland environments in the East Anglian Fens, England, UK. One site is managed for the production of horticultural salad crops, the other is an area of managed grassland.

Turbulent flux densities were monitored using the micrometeorological eddy covariance (EC) technique between 10th November 2016 and 25th September 2018 at the cropland site, and between 27th April 2017 and 31st March 2019 at the grassland. The dataset includes ancillary weather and soil physics observations, as well as variables describing atmospheric turbulence and the quality of the turbulent flux observations.

Publication date: 2020-03-02

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More information

View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)

Format

Comma-separated values (CSV)

Spatial information

Study area

Spatial representation type

Tabular (text)

Spatial reference system

OSGB 1936 / British National Grid

Temporal information

Temporal extent

2016-11-10 to 2019-03-31

Provenance & quality

Eddy covariance (EC) and micrometeorological observations were made using open-path eddy covariance systems. Ancillary meteorological and soil physics observations were co-located with the eddy covariance stations.

Turbulent flux densities were calculated from the raw EC data using the EddyPRO® Flux Calculation Software Version 6.1.

Quality Control of EC data involved removal of statistical outliers and tests that theoretical requirements for the successful application of the EC technique were not violated significantly.

Data gaps in EC data (NEE, LE, H) and the partitioning of NEE into gross ecosystem production and total ecosystem production were performed using the REddyProc Package for R (Reichstein et al., 2019).

Further details are available in the supporting documentation accompanying the data.

Licensing and constraints

This dataset is available under the terms of the Open Government Licence

Cite this dataset as:

Morrison, R.; Cooper, H.; Cumming, A.M.J.; Evans, C.; Thornton, J.; Winterbourn, J.B.; Rylett, D.; Jones, D.L. (2020). Eddy covariance measurements of carbon dioxide, energy and water fluxes at a cropland and a grassland on lowland peat soils, East Anglia, UK, 2016-2019. NERC Environmental Information Data Centre. https://doi.org/10.5285/2fe84b80-117a-4b19-a1f5-71bbd1dba9c9

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This dataset is included in the following collections

Flux (CO2, water and energy) and meteorological data in UK

Citations

Pinnington, E., Amezcua, J., Cooper, E., Dadson, S., Ellis, R., Peng, J., … Quaife, T. (2021). Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data. Hydrology and Earth System Sciences, 25(3), 1617–1641. https://doi.org/10.5194/hess-25-1617-2021

Robinson, E.L., Brown, M.J., Kay, A.L., Lane, R.A., Chapman, R., Bell, V.A., & Blyth, E.M. (2023). Hydro-PE: gridded datasets of historical and future Penman–Monteith potential evaporation for the United Kingdom. In Earth System Science Data (Vol. 15, Issue 10, pp. 4433–4461). Copernicus GmbH. https://doi.org/10.5194/essd-15-4433-2023