Articles | Volume 17, issue 6
https://doi.org/10.5194/bg-17-1367-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-17-1367-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Mar 2020
Research article |
| 19 Mar 2020
| 19 Mar 2020
A robust data cleaning procedure for eddy covariance flux measurements
Domenico Vitale
CORRESPONDING AUTHOR
Department for Innovation in Biological, Agro-Food and Forest Systems (DIBAF), University of Tuscia, via San Camillo de Lellis, 01100 Viterbo, Italy
Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), 01100 Viterbo, Italy
Gerardo Fratini
LI-COR Biosciences Inc., Lincoln, Nebraska 68504, USA
Massimo Bilancia
Ionian Department of Law, Economics and Environment, University of Bari Aldo Moro, Via Lago Maggiore angolo Via Ancona, 74121 Taranto, Italy
Giacomo Nicolini
Department for Innovation in Biological, Agro-Food and Forest Systems (DIBAF), University of Tuscia, via San Camillo de Lellis, 01100 Viterbo, Italy
Simone Sabbatini
Department for Innovation in Biological, Agro-Food and Forest Systems (DIBAF), University of Tuscia, via San Camillo de Lellis, 01100 Viterbo, Italy
Dario Papale
Department for Innovation in Biological, Agro-Food and Forest Systems (DIBAF), University of Tuscia, via San Camillo de Lellis, 01100 Viterbo, Italy
Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), 01100 Viterbo, Italy
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- Functional ecosystem properties estimated from satellite PRISMA and Sentinel-2 data in natural European sites G. Vaglio Laurin et al. https://doi.org/10.1080/22797254.2026.2669420
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- On the nonstationary characteristics of near-surface turbulent fluxes over farmland J. Shao et al. https://doi.org/10.1016/j.aosl.2026.100854
31 citations as recorded by crossref.
- UAV-based in situ measurements of CO2 and CH4 fluxes over complex natural ecosystems A. Bolek et al. https://doi.org/10.5194/amt-17-5619-2024
- A physical full-factorial scheme for gap-filling of eddy covariance measurements of daytime evapotranspiration Y. Jiang et al. https://doi.org/10.1016/j.agrformet.2022.109087
- ReLTER: An R interface for environmental observation in long term ecological research A. Oggioni et al. https://doi.org/10.1016/j.ecoinf.2024.102915
- Daily evapotranspiration estimation in Germany through multi-source data fusion and hybrid machine learning models S. Ahmadpour et al. https://doi.org/10.1080/01431161.2026.2716391
- AmeriFlux BASE data pipeline to support network growth and data sharing H. Chu et al. https://doi.org/10.1038/s41597-023-02531-2
- Drainage effects on carbon budgets of degraded peatlands in the north of the Netherlands T. Nijman et al. https://doi.org/10.1016/j.scitotenv.2024.172882
- Estimating carbon fluxes over North America using a physics-constrained deep learning model B. Fan et al. https://doi.org/10.1016/j.isprsjprs.2025.06.033
- Global transpiration data from sap flow measurements: the SAPFLUXNET database R. Poyatos et al. https://doi.org/10.5194/essd-13-2607-2021
- Harmonized gap-filled datasets from 20 urban flux tower sites M. Lipson et al. https://doi.org/10.5194/essd-14-5157-2022
- Research on Oil Well Data Cleaning System Y. Feng & L. Zhao https://doi.org/10.2478/ijanmc-2022-0026
- GHG balance, its seasonality and response to soil type and management of northern agricultural grasslands: Eddy-covariance flux measurements from three adjacent fields in Finland N. Shurpali et al. https://doi.org/10.1016/j.agee.2025.109841
- Introducing ‘miniRECgap’ R package for simple gap-filling of missing eddy covariance CO2 flux measurements with classic nonlinear environmental response functions via GUI-supported R-scripts (case-study: In-sample gap-filling with ‘miniRECgap’ vs. MDS and an optimised shallow ANN in a ‘challenging’ peatland ecosystem) A. Premrov et al. https://doi.org/10.1016/j.envsoft.2025.106611
- El Niño-Southern Oscillation forcing on carbon and water cycling in a Bornean tropical rainforest N. Takamura et al. https://doi.org/10.1073/pnas.2301596120
- Eddy-covariance fluxes of CO2, CH4 and N2O in a drained peatland forest after clear-cutting O. Tikkasalo et al. https://doi.org/10.5194/bg-22-1277-2025
- Quantitative Evaluation of Wavelet Analysis Method for Turbulent Flux Calculation of Non‐Stationary Series Y. Li et al. https://doi.org/10.1029/2022GL101591
- Biotic and Abiotic Control Over Diurnal CH4 Fluxes in a Temperate Transitional Poor Fen Ecosystem A. Lhosmot et al. https://doi.org/10.1007/s10021-022-00809-x
- Insights from the Convolution of Emission Inventories with Flux Footprints from Tall Eddy Covariance Towers at Three European Cities B. Molinier et al. https://doi.org/10.1021/acsestair.6c00148
- Utility of Copernicus-Based Inputs for Actual Evapotranspiration Modeling in Support of Sustainable Water Use in Agriculture R. Guzinski et al. https://doi.org/10.1109/JSTARS.2021.3122573
- X-BASE: the first terrestrial carbon and water flux products from an extended data-driven scaling framework, FLUXCOM-X J. Nelson et al. https://doi.org/10.5194/bg-21-5079-2024
- Classification and properties of non-idealized coastal wind profiles – an observational study C. Hallgren et al. https://doi.org/10.5194/wes-7-1183-2022
- A gap filling method for daily evapotranspiration of global flux data sets based on deep learning L. Qian et al. https://doi.org/10.1016/j.jhydrol.2024.131787
- Cosmic-ray neutron sensors provide scale-appropriate soil water content and vegetation observations for eddy covariance stations in agricultural ecosystems C. Brogi et al. https://doi.org/10.1016/j.agrformet.2025.110731
- Functional ecosystem properties estimated from satellite PRISMA and Sentinel-2 data in natural European sites G. Vaglio Laurin et al. https://doi.org/10.1080/22797254.2026.2669420
- Technical note: Flagging inconsistencies in flux tower data M. Jung et al. https://doi.org/10.5194/bg-21-1827-2024
- Methane emissions from rice cultivation in West Africa and compensation options from nature reserve forests S. Guug et al. https://doi.org/10.1088/1748-9326/adc28c
- A performance evaluation of despiking algorithms for eddy covariance data D. Vitale https://doi.org/10.1038/s41598-021-91002-y
- Multi-year observations of BVOCs and ozone: concentrations and fluxes measured above and below the canopy in a mixed temperate forest C. Dumont et al. https://doi.org/10.5194/essd-18-617-2026
- Modelling hourly evapotranspiration in urban environments with SCOPE using open remote sensing and meteorological data A. Duarte Rocha et al. https://doi.org/10.5194/hess-26-1111-2022
- System for automated Quality Control (SaQC) to enable traceable and reproducible data streams in environmental science L. Schmidt et al. https://doi.org/10.1016/j.envsoft.2023.105809
- EVAonline: An open-source web platform for global reference evapotranspiration estimation via multi-source data fusion A. Soares et al. https://doi.org/10.1016/j.envsoft.2026.107113
- On the nonstationary characteristics of near-surface turbulent fluxes over farmland J. Shao et al. https://doi.org/10.1016/j.aosl.2026.100854
Saved (final revised paper)
Latest update: 21 Sep 2026
Short summary
This work describes a data cleaning procedure for the detection of eddy covariance fluxes affected by systematic errors. We believe that the proposed procedure can serve as a basis toward a unified quality control strategy suitable for the centralized data processing pipelines, where the use of completely data-driven and scalable procedures that guarantee high-quality standards and reproducibility of the released products constitutes an essential prerequisite.
This work describes a data cleaning procedure for the detection of eddy covariance fluxes...
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