This article was accepted into the corpus but its outbound wikilinks were never NER-processed — typical at the deepest BFS hop or when the run's entity cap was reached. No expansion funnel to show.
| FLUXNET2015 | |
|---|---|
| Name | FLUXNET2015 |
| Type | Global eddy covariance dataset |
| Established | 2015 |
| Managed by | FLUXNET community |
| Data types | Eddy covariance, meteorology, biometric |
FLUXNET2015 is a global synthesis dataset compiling eddy covariance measurements from a distributed network of flux tower sites. The dataset consolidates site-level observations to support research in Intergovernmental Panel on Climate Change, National Aeronautics and Space Administration, European Space Agency, United States Geological Survey, and academic programs such as Oak Ridge National Laboratory, Lawrence Berkeley National Laboratory, Max Planck Society, and University of California, Berkeley. It serves as a foundational resource for studies tied to initiatives like the Global Carbon Project, GEWEX, RAPID, and national science agencies including National Science Foundation, Natural Environment Research Council, and Deutsche Forschungsgemeinschaft.
FLUXNET2015 aggregates standardized flux observations from independent observatories such as AmeriFlux, EuroFlux, AsiaFlux, OzFlux, ChinaFlux, and CarboEurope-IP, enabling cross-site synthesis consistent with protocols from Fluxnet-Canada, NEON, ICOS, Long-Term Ecological Research Network, and regional programs. The compilation aligns with international efforts like the Global Energy and Water Exchanges Project, World Meteorological Organization, and policy-relevant assessments by the United Nations Framework Convention on Climate Change, the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services, and the Millennium Ecosystem Assessment. It was released to facilitate meta-analyses used by teams at institutions including Princeton University, Columbia University, ETH Zurich, University of Helsinki, and Peking University.
The database includes high-frequency and gap-filled flux variables derived from eddy covariance systems deployed at sites managed by organizations such as CSIRO, USDA Forest Service, INRAE, and CONICET. Core measurements comprise net ecosystem exchange, latent heat flux, sensible heat flux, and ancillary meteorological parameters recorded alongside biometric inventories and soil datasets curated by Argonne National Laboratory, CNR-ISAFOM, and university partners. Instrumentation commonly used at contributing sites includes sonic anemometers and infrared gas analyzers from manufacturers linked to projects at Tesla Science Center and instrument calibration programs associated with National Institute of Standards and Technology, Met Office, and Meteorological Service of Canada.
Data processing follows standardized workflows informed by methods developed within CarboEurope, FluxDataNet, and intercomparison exercises organized by The International Networks for Eddy Covariance community. Quality control, gap-filling, partitioning, and u* filtering use algorithms cited in literature from groups at University of Edinburgh, Wageningen University, MPI-BGC, and CSIRO Land and Water. Harmonization ensures comparability across data products used in model–data fusion efforts at NASA Goddard Institute for Space Studies, NOAA ESRL, European Centre for Medium-Range Weather Forecasts, and ecosystem-model intercomparison projects coordinated by ISIMIP and the AgMIP community.
Contributing sites span biomes monitored by programs like AmeriFlux and AsiaFlux across continents where field campaigns have been led by researchers at University of Melbourne, University of São Paulo, University of Cape Town, Tsinghua University, and University of British Columbia. Coverage includes forests, grasslands, croplands, wetlands, and urban sites associated with initiatives such as CarboAfrica, ICOS Ecosystem Thematic Centre, and national observatory networks coordinated with National Ecological Observatory Network. Spatial metadata link to georeferenced inventories maintained by Global Biodiversity Information Facility, World Resources Institute, and regional land-cover maps produced by MODIS teams, Landsat programs, and research groups at USGS.
Researchers use the dataset for carbon cycle quantification, model calibration, and validation in studies performed by groups at Lawrence Livermore National Laboratory, Jet Propulsion Laboratory, and Yale University. Applications include partitioning ecosystem respiration in publications from Nature, Science, and domain journals supported by societies like the American Geophysical Union, European Geosciences Union, and Royal Society. FLUXNET2015 underpins multi-model comparisons in projects such as CMIP-related assessments, remote sensing product validation for teams at NASA Jet Propulsion Laboratory, and policy-relevant carbon accounting used by programs under UNFCCC and national greenhouse gas inventories prepared by agencies like EPA and Environment and Climate Change Canada.
Data distribution follows data-sharing arrangements negotiated among networks including AmeriFlux Management Project, European Fluxes Database Cluster, and data nodes supported by Oak Ridge National Laboratory and ICBEC. Access tiers range from public releases to restricted-use datasets requiring data contributor agreements with institutions such as University Corporation for Atmospheric Research and national funders like NSF and NERC. Metadata and DOIs for individual site-years are cataloged in registries used by repositories including Zenodo, PANGAEA, and institutional archives at Columbia University Data Commons.
Users must consider methodological heterogeneity across contributing projects like CarboEurope-IP and regional groups, potential biases from u* threshold choices discussed in studies from MPI-BGC and INRAE, and representativeness issues relative to biome-scale extrapolations used in IPCC assessments. Uncertainties arise from instrument errors, gap-filling assumptions evaluated by research teams at ETH Zurich and Princeton University, and land-cover misclassification when linking flux observations to remote sensing products from MODIS and Sentinel missions.
Category:Datasets