Boschetti, F.; Cunliffe, A.M.; Clement, R.; Anderson, K.; Sitch, S.; Brazier, R.E.; Hill, T.C.

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

https://doi.org/10.5285/e96466c3-5b67-41b0-9252-8f8f393807d7 Cite this dataset
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

Get the data

This data is available as Comma-separated values (CSV) or TIFF

You must cite: 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. https://doi.org/10.5285/e96466c3-5b67-41b0-9252-8f8f393807d7

 

Where/When

Study area
Temporal extent
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

Related websites:

DRVIING-C website

Correspondence/contact details

Boschetti, F.
University of Exeter
 F.Boschetti@exeter.ac.uk

Authors

Boschetti, F.
University of Exeter
ORCID iD icon https://orcid.org/0000-0002-7612-3264
Cunliffe, A.M.
University of Exeter
ORCID iD icon https://orcid.org/0000-0002-8346-4278
Clement, R.
University of Exeter
Anderson, K.
University of Exeter
ORCID iD icon https://orcid.org/0000-0002-3289-2598
Sitch, S.
University of Exeter
ORCID iD icon https://orcid.org/0000-0003-1821-8561
Brazier, R.E.
University of Exeter
ORCID iD icon https://orcid.org/0000-0002-8715-0399
Hill, T.C.
University of Exeter
ORCID iD icon https://orcid.org/0000-0002-1740-930X

Other contacts

Custodian
Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC Environmental Information Data Centre
 info@eidc.ac.uk

Additional metadata

Topic categories
Climatology / Meteorology / Atmosphere
Keywords
carbon dioxide concentration sensor,  Chihuahuan Desert,  Climate and climate change,  DRIVING-C,  Drylands,  Eddy Covariance tower,  New Mexico,  relative humidity sensor,  Sevilleta Refuge,  sonic anemometer
Funding
Natural Environment Research Council Award: NE/R00062X/1
Spatial representation type
Tabular (text)
Spatial reference system
NAD83 / UTM zone 13N
Last updated
04 May 2021 11:41