Articles | Volume 12, issue 4
https://doi.org/10.5194/bg-12-1205-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-12-1205-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
25 Feb 2015
Research article |
| 25 Feb 2015
Uncertainty analysis of eddy covariance CO2 flux measurements for different EC tower distances using an extended two-tower approach
H. Post
CORRESPONDING AUTHOR
Agrosphere (IBG-3), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
H. J. Hendricks Franssen
Agrosphere (IBG-3), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
Agrosphere (IBG-3), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
M. Schmidt
Agrosphere (IBG-3), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
H. Vereecken
Agrosphere (IBG-3), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
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41 citations as recorded by crossref.
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- The case for increasing the statistical power of eddy covariance ecosystem studies: why, where and how? T. Hill et al. 10.1111/gcb.13547
- Evaluation and uncertainty analysis of regional-scale CLM4.5 net carbon flux estimates H. Post et al. 10.5194/bg-15-187-2018
- Comprehensive accuracy assessment of long-term geostationary SEVIRI-MSG evapotranspiration estimates across Europe B. Bayat et al. 10.1016/j.rse.2023.113875
- Prediction of Potential and Actual Evapotranspiration Fluxes Using Six Meteorological Data-Based Approaches for a Range of Climate and Land Cover Types M. Mobilia & A. Longobardi 10.3390/ijgi10030192
- Evapotranspiration, gross primary productivity and water use efficiency over a high-density olive orchard using ground and satellite based data J. Elfarkh et al. 10.1016/j.agwat.2023.108423
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- Evapotranspiration and water use efficiency in relation to climate and canopy nitrogen in U.S. forests R. Guerrieri et al. 10.1002/2016JG003415
- Modelling Actual Evapotranspiration Seasonal Variability by Meteorological Data-Based Models M. Mobilia et al. 10.3390/hydrology7030050
- A Non‐Gradient Model of Turbulent Gas Fluxes Over Land Surfaces Y. Tang et al. 10.1029/2021JD034605
- Random uncertainties of flux measurements by the eddy covariance technique Ü. Rannik et al. 10.5194/amt-9-5163-2016
- Potential of MODIS data to track the variability in ecosystem water-use efficiency of temperate deciduous forests X. Tang et al. 10.1016/j.ecoleng.2016.02.022
- Fluxes of gaseous elemental mercury (GEM) in the High Arctic during atmospheric mercury depletion events (AMDEs) J. Kamp et al. 10.5194/acp-18-6923-2018
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- Uncertainties in eddy covariance air–sea CO2 flux measurements and implications for gas transfer velocity parameterisations Y. Dong et al. 10.5194/acp-21-8089-2021
- Upscaling Net Ecosystem Exchange Over Heterogeneous Landscapes With Machine Learning O. Reitz et al. 10.1029/2020JG005814
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- Evaluation of different methods for gap filling of long‐term actual evapotranspiration time series measured by lysimeters Y. Huang et al. 10.1002/vzj2.20020
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- Quantification of water stress induced within-field variability of carbon dioxide fluxes in a sugar beet stand M. Herbst et al. 10.1016/j.agrformet.2020.108242
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- Multi-site calibration and validation of a net ecosystem carbon exchange model for croplands A. Klosterhalfen et al. 10.1016/j.ecolmodel.2017.07.028
- Estimating forest carbon fluxes using four different data-driven techniques based on long-term eddy covariance measurements: Model comparison and evaluation X. Dou & Y. Yang 10.1016/j.scitotenv.2018.01.202
- CO2 sequestration in subsurface geological formations: A review of trapping mechanisms and monitoring techniques O. Massarweh & A. Abushaikha 10.1016/j.earscirev.2024.104793
41 citations as recorded by crossref.
- On the Potential of Sentinel-2 for Estimating Gross Primary Production D. Pabon-Moreno et al. 10.1109/TGRS.2022.3152272
- The case for increasing the statistical power of eddy covariance ecosystem studies: why, where and how? T. Hill et al. 10.1111/gcb.13547
- Evaluation and uncertainty analysis of regional-scale CLM4.5 net carbon flux estimates H. Post et al. 10.5194/bg-15-187-2018
- Comprehensive accuracy assessment of long-term geostationary SEVIRI-MSG evapotranspiration estimates across Europe B. Bayat et al. 10.1016/j.rse.2023.113875
- Prediction of Potential and Actual Evapotranspiration Fluxes Using Six Meteorological Data-Based Approaches for a Range of Climate and Land Cover Types M. Mobilia & A. Longobardi 10.3390/ijgi10030192
- Evapotranspiration, gross primary productivity and water use efficiency over a high-density olive orchard using ground and satellite based data J. Elfarkh et al. 10.1016/j.agwat.2023.108423
- Analysis of scale-dependent spatial correlations of actual evapotranspiration measured by lysimeters X. Lu et al. 10.1016/j.agrformet.2024.110288
- Synthetic ozone deposition and stomatal uptake at flux tower sites J. Ducker et al. 10.5194/bg-15-5395-2018
- Dynamic spatial patterns of leaf traits affect total respiration on the crown scale X. Wang et al. 10.1038/srep26675
- Evapotranspiration and water use efficiency in relation to climate and canopy nitrogen in U.S. forests R. Guerrieri et al. 10.1002/2016JG003415
- Modelling Actual Evapotranspiration Seasonal Variability by Meteorological Data-Based Models M. Mobilia et al. 10.3390/hydrology7030050
- A Non‐Gradient Model of Turbulent Gas Fluxes Over Land Surfaces Y. Tang et al. 10.1029/2021JD034605
- Random uncertainties of flux measurements by the eddy covariance technique Ü. Rannik et al. 10.5194/amt-9-5163-2016
- Potential of MODIS data to track the variability in ecosystem water-use efficiency of temperate deciduous forests X. Tang et al. 10.1016/j.ecoleng.2016.02.022
- Fluxes of gaseous elemental mercury (GEM) in the High Arctic during atmospheric mercury depletion events (AMDEs) J. Kamp et al. 10.5194/acp-18-6923-2018
- Lake Superior evaporation: A long-term eddy covariance dataset at Stannard Rock Lighthouse (2008–2022) E. Nicholls et al. 10.1038/s41597-024-03940-7
- Examining Interactions Between and Among Predictors of Net Ecosystem Exchange: A Machine Learning Approach in a Semi-arid Landscape Q. Zhou et al. 10.1038/s41598-019-38639-y
- Direct measurement forest carbon protocol: a commercial system-of-systems to incentivize forest restoration and management B. Marino et al. 10.7717/peerj.8891
- Understanding the effect of disturbance from selective felling on the carbon dynamics of a managed woodland by combining observations with model predictions E. Pinnington et al. 10.1002/2017JG003760
- P-model v1.0: an optimality-based light use efficiency model for simulating ecosystem gross primary production B. Stocker et al. 10.5194/gmd-13-1545-2020
- Impacts of Climate Change on European Grassland Phenology: A 20-Year Analysis of MODIS Satellite Data E. Bellini et al. 10.3390/rs15010218
- On securing continuity of eddy covariance flux time-series after changing the measurement height: Correction for flux differences due to the footprint difference M. Kang et al. 10.1016/j.agrformet.2023.109339
- Uncertainties in eddy covariance air–sea CO2 flux measurements and implications for gas transfer velocity parameterisations Y. Dong et al. 10.5194/acp-21-8089-2021
- Upscaling Net Ecosystem Exchange Over Heterogeneous Landscapes With Machine Learning O. Reitz et al. 10.1029/2020JG005814
- Generating high-resolution total canopy SIF emission from TROPOMI data: Algorithm and application Z. Zhang et al. 10.1016/j.rse.2023.113699
- Evaluation of different methods for gap filling of long‐term actual evapotranspiration time series measured by lysimeters Y. Huang et al. 10.1002/vzj2.20020
- Remote Sensing of Ecosystem Water Use Efficiency: A Review of Direct and Indirect Estimation Methods W. Cai et al. 10.3390/rs13122393
- Quantification of water stress induced within-field variability of carbon dioxide fluxes in a sugar beet stand M. Herbst et al. 10.1016/j.agrformet.2020.108242
- Addressing a systematic bias in carbon dioxide flux measurements with the EC150 and the IRGASON open-path gas analyzers M. Helbig et al. 10.1016/j.agrformet.2016.07.018
- Leaf chlorophyll constraint on model simulated gross primary productivity in agricultural systems R. Houborg et al. 10.1016/j.jag.2015.03.016
- Estimation of Community Land Model parameters for an improved assessment of net carbon fluxes at European sites H. Post et al. 10.1002/2015JG003297
- Variation Patterns and Climate-Influencing Factors Affecting Maximum Light Use Efficiency in Terrestrial Ecosystem Vegetation D. Huang et al. 10.3390/f16030528
- The integrated water balance and soil data set of the Rollesbroich hydrological observatory W. Qu et al. 10.5194/essd-8-517-2016
- Exploring the merging of the global land evaporation WACMOS-ET products based on local tower measurements C. Jiménez et al. 10.5194/hess-22-4513-2018
- Uncertainty of eddy covariance flux measurements over an urban area based on two towers L. Järvi et al. 10.5194/amt-11-5421-2018
- Practical Guide to Measuring Wetland Carbon Pools and Fluxes S. Bansal et al. 10.1007/s13157-023-01722-2
- Incorporating Spatial Variations in Parameters for Improvements of an Evapotranspiration Model G. Wu et al. 10.1029/2019JG005504
- Short-term forecasting of regional biospheric CO2 fluxes in Europe using a light-use-efficiency model (VPRM, MPI-BGC version 1.2) J. Chen et al. 10.5194/gmd-13-4091-2020
- Multi-site calibration and validation of a net ecosystem carbon exchange model for croplands A. Klosterhalfen et al. 10.1016/j.ecolmodel.2017.07.028
- Estimating forest carbon fluxes using four different data-driven techniques based on long-term eddy covariance measurements: Model comparison and evaluation X. Dou & Y. Yang 10.1016/j.scitotenv.2018.01.202
- CO2 sequestration in subsurface geological formations: A review of trapping mechanisms and monitoring techniques O. Massarweh & A. Abushaikha 10.1016/j.earscirev.2024.104793
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Short summary
This study introduces an extension of the classical two-tower approach for uncertainty estimation of measured net CO2 fluxes (NEE). Because land surface properties cannot be assumed identical at two eddy covariance towers, a correction for systematic flux differences is proposed to be added to the classical weather filter. With this extension, the overestimation of NEE uncertainty due to systematic flux differences (which are assumed to increase with tower distance) can considerably be reduced.
This study introduces an extension of the classical two-tower approach for uncertainty...
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