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

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

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

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

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Final revised paper (published on 29 Sep 2016)
Supplement to the final revised paper
Preprint (discussion started on 14 Jun 2016)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: '"The Niwot Ridge Subalpine Forest US-NR1 AmeriFlux site – Part I" paper review', Anonymous Referee #1, 01 Jul 2016
- AC1: 'Reply to Referee 1', Sean P. Burns, 06 Aug 2016
RC2: 'review comments on "The Niwot Ridge Subalpine Forest US-NR1 AmeriFlux site –Part I: Data acquisition and site record-keeping"', Anonymous Referee #2, 12 Jul 2016
- AC2: 'reply to Referee 2', Sean P. Burns, 06 Aug 2016
  - RC3: 'review of the revised version "The Niwot Ridge Subalpine Forest US-NR1 AmeriFlux site -- Part I: Data acquisition and site record-keeping"', Anonymous Referee #2, 08 Aug 2016
AC3: 'Related to Raw Sample Time Differences', Sean P. Burns, 08 Aug 2016

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.