Geoscientific Instrumentation, Methods and Data Systems
Geoscientific Instrumentation, Methods and Data Systems
GI
Articles | Volume 5, issue 2
Articles | Volume 5, issue 2
https://doi.org/10.5194/gi-5-451-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gi-5-451-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 5, issue 2
Research article
 | 
29 Sep 2016
Research article |  | 29 Sep 2016

The Niwot Ridge Subalpine Forest US-NR1 AmeriFlux site – Part 1: Data acquisition and site record-keeping

Sean P. Burns, Gordon D. Maclean, Peter D. Blanken, Steven P. Oncley, Steven R. Semmer, and Russell K. Monson

Supplement

https://doi.org/10.5194/gi-5-451-2016-supplement

Data sets

Niwot Ridge US-NR1 30-min data P. D. Blanken, R. K. Monson, S. P. Burns, and A. A. Turnipseed https://doi.org/10.17190/AMF/1246088

Phenocam: An ecosystem phenology web camera network A. D. Richardson, M. Friedel, S. Frolking, R. Pless, and T. Milliman https://phenocam.sr.unh.edu/

NCAR EOL Software G. Maclean, G. Granger, E. Johnson, M. Dye, C. Martin, and N. Potts https://github.com/ncareol

Niwot Ridge US-NR1 30-min data P. D. Blanken, R. K. Monson, S. P. Burns, and A. A. Turnipseed http://urquell.colorado.edu/data_ameriflux/

Niwot Ridge US-NR1 Web Calendar S. P. Burns, P. D. Blanken, R. K. Monson, and A. A. Turnipseed http://urquell.colorado.edu/calendar/

Niwot Ridge US-NR1 Electronic Logbook S. P. Burns, G. D. Maclean, P. D. Blanken, R. K. Monson, and A. A. Turnipseed http://urquell.colorado.edu/logbook/

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Short summary
The hardware and software used to collect eddy-covariance ecosystem fluxes of carbon dioxide, heat, and water vapor at a high-elevation subalpine forest site over 17 years are described. Over time, software/hardware improvements have increased the system robustness, leading to a successful 10 Hz data-collection rate of better than 99.98 %. We also provide philosophical concepts that shaped our data system design and are applicable to many different types of environmental data collection.
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