Cite this dataset as
Boschetti, F., Cunliffe, A.M., Clement, R., Anderson, K., Sitch, S., Brazier, R.E., Hill, T.C. (2021). Half hourly fluxes of sensible heat, latent energy and carbon, observed by eight eddy covariance towers in the Northern Chihuahuan Desert, North America, 2018-2019. NERC Environmental Information Data Centre. (Dataset). https://doi.org/10.5285/e96466c3-5b67-41b0-9252-8f8f393807d7
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This dataset is available under the terms of the Open Government Licence 
Half hourly fluxes of sensible heat, latent energy and carbon, observed by eight eddy covariance towers in the Northern Chihuahuan Desert, North America, 2018-2019
Half-hourly data from eight eddy covariance towers deployed in the Sevilleta Refuge (New Mexico, USA). The main sensors deployed were sonic anemometer, relative humidity sensor and carbon dioxide concentration sensor . They were deployed and maintained by Fabio Boschetti and Andrew Cunliffe (University of Exeter). The data were collected to test the new design of eddy covariance towers and investigate the spatial variability of fluxes. Data were collected from 2018-11-01 to 2019-11-01. The data contains very few small gaps due to maintenance. Half-hourly data were gap-filled using code published on GitHub. The research was funded through NERC grant reference NE/R00062X/1 - "Do dryland ecosystems control variability and recent trends in the land CO2 sink?"
Publication date: 2021-05-04
View record as
Formats
Comma-separated values (CSV)
TIFF
Spatial information
- Study area
-
- Spatial representation type
- Tabular (text)
- Spatial reference system
- NAD83 / UTM zone 13N
Temporal information
- Temporal extent
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2018-11-01 to 2019-10-31
Provenance & quality
Raw data were pre-processed to check for the following, spike detection, coordinate rotation, frequency response correction, cross correlation and WPL (Webb, Pearman, and Leuning) correction. Half-hourly data were gap-filled using the code published on GitHub and subjected to season-specific u* filtering using the ReddyProc R package v1.2. Cospectra analysis was performed using Hamming window. Spikes in the data were excluded using a method based on Tukey’s fence. Data were supplied to the EIDC as comma seperated value (.csv) files.
Supplemental information
Correspondence/contact details
Authors
https://orcid.org/0000-0002-7612-3264
Clement, R.
University of Exeter
Other contacts
- Custodian
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
- Publisher
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NERC Environmental Information Data Centreinfo@eidc.ac.uk
Additional metadata
- Topic categories
- climatologyMeteorologyAtmosphere
- Keywords
- carbon dioxide , carbon dioxide concentration sensor , Chihuahuan Desert , Climate and climate change , DRIVING-C , Drylands , Eddy Covariance tower , New Mexico , relative humidity sensor , sensor , Sevilleta Refuge , sonic anemometer
- Funding
- Natural Environment Research Council Award: NE/R00062X/1
- Last updated
- 29 February 2024 16:42