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      OzFlux data: network integration from collection to curation

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      Biogeosciences
      Copernicus GmbH

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          Abstract

          Abstract. Measurement of the exchange of energy and mass between the surface and the atmospheric boundary-layer by the eddy covariance technique has undergone great change in the last 2 decades. Early studies of these exchanges were confined to brief field campaigns in carefully controlled conditions followed by months of data analysis. Current practice is to run tower-based eddy covariance systems continuously over several years due to the need for continuous monitoring as part of a global effort to develop local-, regional-, continental- and global-scale budgets of carbon, water and energy. Efficient methods of processing the increased quantities of data are needed to maximise the time available for analysis and interpretation. Standardised methods are needed to remove differences in data processing as possible contributors to observed spatial variability. Furthermore, public availability of these data sets assists with undertaking global research efforts. The OzFlux data path has been developed (i) to provide a standard set of quality control and post-processing tools across the network, thereby facilitating inter-site integration and spatial comparisons; (ii) to increase the time available to researchers for analysis and interpretation by reducing the time spent collecting and processing data; (iii) to propagate both data and metadata to the final product; and (iv) to facilitate the use of the OzFlux data by adopting a standard file format and making the data available from web-based portals. Discovery of the OzFlux data set is facilitated through incorporation in FLUXNET data syntheses and the publication of collection metadata via the RIF-CS format. This paper serves two purposes. The first is to describe the data sets, along with their quality control and post-processing, for the other papers of this Special Issue. The second is to provide an example of one solution to the data collection and curation challenges that are encountered by similar flux tower networks worldwide.

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          The ERA-Interim reanalysis: configuration and performance of the data assimilation system

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            FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem–Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities

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              Python for Scientific Computing

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                Author and article information

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                Journal
                Biogeosciences
                Biogeosciences
                Copernicus GmbH
                1726-4189
                2017
                June 19 2017
                : 14
                : 12
                : 2903-2928
                Article
                10.5194/bg-14-2903-2017
                c720d5cc-708b-4dec-9eb7-e113ef1bb333
                © 2017

                https://creativecommons.org/licenses/by/3.0/

                History

                Quantitative & Systems biology,Biophysics
                Quantitative & Systems biology, Biophysics

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