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dc.contributor.authorBurns, Sean P.
dc.contributor.authorMaclean, Gordon D.
dc.contributor.authorBlanken, Peter D.
dc.contributor.authorOncley, Steven P.
dc.contributor.authorSemmer, Steven R.
dc.contributor.authorMonson, Russell K.
dc.date.accessioned2017-01-13T00:20:30Z
dc.date.available2017-01-13T00:20:30Z
dc.date.issued2016-09-29
dc.identifier.citationThe Niwot Ridge Subalpine Forest US-NR1 AmeriFlux site – Part 1: Data acquisition and site record-keeping 2016, 5 (2):451 Geoscientific Instrumentation, Methods and Data Systemsen
dc.identifier.issn2193-0864
dc.identifier.doi10.5194/gi-5-451-2016
dc.identifier.urihttp://hdl.handle.net/10150/621964
dc.description.abstractThe Niwot Ridge Subalpine Forest AmeriFlux site (US-NR1) has been measuring eddy-covariance ecosystem fluxes of carbon dioxide, heat, and water vapor since 1 November 1998. Throughout this 17-year period there have been changes to the instrumentation and improvements to the data acquisition system. Here, in Part 1 of this three-part series of papers, we describe the hardware and software used for data-collection and metadata documentation. We made changes to the data acquisition system that aimed to reduce the system complexity, increase redundancy, and be as independent as possible from any network outages. Changes to facilitate these improvements were (1) switching to a PC/104-based computer running the National Center for Atmospheric Research (NCAR) In-Situ Data Acquisition Software (NIDAS) that saves the high-frequency data locally and over the network, and (2) time-tagging individual 10 Hz serial data samples using network time protocol (NTP) coupled to a GPS-based clock, providing a network-independent, accurate time base. Since making these improvements almost 2 years ago, the successful capture of high-rate data has been better than 99.98 %. We also provide philosophical concepts that shaped our design of the data system and are applicable to many different types of environmental data collection.
dc.description.sponsorshipNortheastern States Research Cooperative; NSF's Macrosystems Biology program [EF-1065029]; US DOE, Office of Science, through the AmeriFlux Management Project (AMP) at Lawrence Berkeley National Laboratory [7094866]; NSFen
dc.language.isoenen
dc.publisherCOPERNICUS GESELLSCHAFT MBHen
dc.relation.urlhttp://www.geosci-instrum-method-data-syst.net/5/451/2016/en
dc.rights© Author(s) 2016. This work is distributed under the Creative Commons Attribution 3.0 License.en
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/
dc.titleThe Niwot Ridge Subalpine Forest US-NR1 AmeriFlux site – Part 1: Data acquisition and site record-keepingen
dc.typeArticleen
dc.contributor.departmentUniv Arizona, Sch Nat Resources & Environmen
dc.identifier.journalGeoscientific Instrumentation, Methods and Data Systemsen
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en
dc.eprint.versionFinal published versionen
refterms.dateFOA2018-09-11T16:51:43Z
html.description.abstractThe Niwot Ridge Subalpine Forest AmeriFlux site (US-NR1) has been measuring eddy-covariance ecosystem fluxes of carbon dioxide, heat, and water vapor since 1 November 1998. Throughout this 17-year period there have been changes to the instrumentation and improvements to the data acquisition system. Here, in Part 1 of this three-part series of papers, we describe the hardware and software used for data-collection and metadata documentation. We made changes to the data acquisition system that aimed to reduce the system complexity, increase redundancy, and be as independent as possible from any network outages. Changes to facilitate these improvements were (1) switching to a PC/104-based computer running the National Center for Atmospheric Research (NCAR) In-Situ Data Acquisition Software (NIDAS) that saves the high-frequency data locally and over the network, and (2) time-tagging individual 10 Hz serial data samples using network time protocol (NTP) coupled to a GPS-based clock, providing a network-independent, accurate time base. Since making these improvements almost 2 years ago, the successful capture of high-rate data has been better than 99.98 %. We also provide philosophical concepts that shaped our design of the data system and are applicable to many different types of environmental data collection.


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© Author(s) 2016. This work is distributed under the Creative Commons Attribution 3.0 License.
Except where otherwise noted, this item's license is described as © Author(s) 2016. This work is distributed under the Creative Commons Attribution 3.0 License.