AmeriFlux BASE data pipeline to support network growth and data sharing
-
Published:2023-09-11
Issue:1
Volume:10
Page:
-
ISSN:2052-4463
-
Container-title:Scientific Data
-
language:en
-
Short-container-title:Sci Data
Author:
Chu HousenORCID, Christianson Danielle S.ORCID, Cheah You-Wei, Pastorello GilbertoORCID, O’Brien FiannaORCID, Geden Joshua, Ngo Sy-Toan, Hollowgrass Rachel, Leibowitz Karla, Beekwilder Norman F., Sandesh Megha, Dengel Sigrid, Chan Stephen W., Santos André, Delwiche Kyle, Yi KoongORCID, Buechner Christin, Baldocchi Dennis, Papale DarioORCID, Keenan Trevor F.ORCID, Biraud Sébastien C.ORCID, Agarwal Deborah A.ORCID, Torn Margaret S.
Abstract
AbstractAmeriFlux is a network of research sites that measure carbon, water, and energy fluxes between ecosystems and the atmosphere using the eddy covariance technique to study a variety of Earth science questions. AmeriFlux’s diversity of ecosystems, instruments, and data-processing routines create challenges for data standardization, quality assurance, and sharing across the network. To address these challenges, the AmeriFlux Management Project (AMP) designed and implemented the BASE data-processing pipeline. The pipeline begins with data uploaded by the site teams, followed by the AMP team’s quality assurance and quality control (QA/QC), ingestion of site metadata, and publication of the BASE data product. The semi-automated pipeline enables us to keep pace with the rapid growth of the network. As of 2022, the AmeriFlux BASE data product contains 3,130 site years of data from 444 sites, with standardized units and variable names of more than 60 common variables, representing the largest long-term data repository for flux-met data in the world. The standardized, quality-ensured data product facilitates multisite comparisons, model evaluations, and data syntheses.
Funder
DOE | Office of Science European H2020 ENVRI-FAIR project
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
Reference70 articles.
1. Novick, K. A. et al. The AmeriFlux network: A coalition of the willing. Agric. For. Meteorol. 249, 444–456 (2018). 2. Collier, N. et al. The international land model benchmarking (ILAMB) system: Design, theory, and implementation. J. Adv. Model. Earth Syst. 10, 2731–2754 (2018). 3. Chen, D. et al. Framing, Context, and Methods. in Climate Change 2021: The Physical Science Basis. in Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (ed. Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou) 147–286 (2021). 4. Heinsch, F. A. et al. Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations. IEEE Trans. Geosci. Remote Sens. 44, 1908–1925 (2006). 5. Verma, M. et al. Improving the performance of remote sensing models for capturing intra- and inter-annual variations in daily GPP: An analysis using global FLUXNET tower data. Agric. For. Meteorol. 214–215, 416–429 (2015).
|
|