Articles | Volume 13, issue 5
https://doi.org/10.5194/bg-13-1409-2016
© Author(s) 2016. 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-13-1409-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Mar 2016
Research article |
| 07 Mar 2016
Uncertainty analysis of gross primary production partitioned from net ecosystem exchange measurements
Rahul Raj
CORRESPONDING AUTHOR
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, 7500 AE Enschede, the Netherlands
Nicholas Alexander Samuel Hamm
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, 7500 AE Enschede, the Netherlands
Christiaan van der Tol
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, 7500 AE Enschede, the Netherlands
Alfred Stein
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, 7500 AE Enschede, the Netherlands
Viewed
Total article views: 3,475 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Aug 2015)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,882 | 1,360 | 233 | 3,475 | 480 | 111 | 118 |
- HTML: 1,882
- PDF: 1,360
- XML: 233
- Total: 3,475
- Supplement: 480
- BibTeX: 111
- EndNote: 118
Total article views: 2,728 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 07 Mar 2016)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,562 | 1,079 | 87 | 2,728 | 275 | 104 | 107 |
- HTML: 1,562
- PDF: 1,079
- XML: 87
- Total: 2,728
- Supplement: 275
- BibTeX: 104
- EndNote: 107
Total article views: 747 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Aug 2015)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 320 | 281 | 146 | 747 | 205 | 7 | 11 |
- HTML: 320
- PDF: 281
- XML: 146
- Total: 747
- Supplement: 205
- BibTeX: 7
- EndNote: 11
Cited
17 citations as recorded by crossref.
- Assessing the carbon dioxide balance of a degraded tropical peat swamp forest following multiple fire events of different intensities S. Ohkubo et al. 10.1016/j.agrformet.2021.108448
- Robust Inverse Modeling of Growing Season Net Ecosystem Exchange in a Mountainous Peatland: Influence of Distributional Assumptions on Estimated Parameters and Total Carbon Fluxes T. Weber et al. 10.1029/2017MS001044
- Aboveground and belowground contributions to ecosystem respiration in a temperate deciduous forest X. Liu et al. 10.1016/j.agrformet.2022.108807
- Predicting canopy biophysical properties and sensitivity of plant carbon uptake to water limitations with a coupled eco-hydrological framework L. Lowman & A. Barros 10.1016/j.ecolmodel.2018.01.011
- Modeling land surface processes over a mountainous rainforest in Costa Rica using CLM4.5 and CLM5 J. Song et al. 10.5194/gmd-13-5147-2020
- The Land Variational Ensemble Data Assimilation Framework: LAVENDAR v1.0.0 E. Pinnington et al. 10.5194/gmd-13-55-2020
- An Optimality-Based Spatial Explicit Ecohydrological Model at Watershed Scale: Model Description and Test in a Semiarid Grassland Ecosystem L. Chen et al. 10.3389/fenvs.2022.798336
- The potential benefit of using forest biomass data in addition to carbon and water flux measurements to constrain ecosystem model parameters: Case studies at two temperate forest sites T. Thum et al. 10.1016/j.agrformet.2016.12.004
- Improving the Capability of the SCOPE Model for Simulating Solar-Induced Fluorescence and Gross Primary Production Using Data from OCO-2 and Flux Towers H. Wang & J. Xiao 10.3390/rs13040794
- Bayesian integration of flux tower data into a process-based simulator for quantifying uncertainty in simulated output R. Raj et al. 10.5194/gmd-11-83-2018
- Residual correlation and ensemble modelling to improve crop and grassland models R. Sándor et al. 10.1016/j.envsoft.2023.105625
- Developing a common globally applicable method for optical remote sensing of ecosystem light use efficiency K. Huemmrich et al. 10.1016/j.rse.2019.05.009
- Jump around: Selecting Markov Chain Monte Carlo parameters and diagnostics for improved food web model quality and ecosystem representation G. Gerber & U. Scharler 10.1016/j.ecoinf.2024.102865
- Quantifying the Impacts of Land-Use and Climate on Carbon Fluxes Using Satellite Data across Texas, U.S. R. Ray et al. 10.3390/rs11141733
- Environmental Drivers of Gross Primary Productivity and Light Use Efficiency of a Temperate Spruce Forest O. Reitz et al. 10.1029/2022JG007197
- Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems M. Scholze et al. 10.5194/bg-14-3401-2017
- Evaluation of atmospheric and terrestrial effects in the carbon cycle for forest and grassland ecosystems using a remote sensing and modeling approach M. Umair et al. 10.1016/j.agrformet.2020.108187
17 citations as recorded by crossref.
- Assessing the carbon dioxide balance of a degraded tropical peat swamp forest following multiple fire events of different intensities S. Ohkubo et al. 10.1016/j.agrformet.2021.108448
- Robust Inverse Modeling of Growing Season Net Ecosystem Exchange in a Mountainous Peatland: Influence of Distributional Assumptions on Estimated Parameters and Total Carbon Fluxes T. Weber et al. 10.1029/2017MS001044
- Aboveground and belowground contributions to ecosystem respiration in a temperate deciduous forest X. Liu et al. 10.1016/j.agrformet.2022.108807
- Predicting canopy biophysical properties and sensitivity of plant carbon uptake to water limitations with a coupled eco-hydrological framework L. Lowman & A. Barros 10.1016/j.ecolmodel.2018.01.011
- Modeling land surface processes over a mountainous rainforest in Costa Rica using CLM4.5 and CLM5 J. Song et al. 10.5194/gmd-13-5147-2020
- The Land Variational Ensemble Data Assimilation Framework: LAVENDAR v1.0.0 E. Pinnington et al. 10.5194/gmd-13-55-2020
- An Optimality-Based Spatial Explicit Ecohydrological Model at Watershed Scale: Model Description and Test in a Semiarid Grassland Ecosystem L. Chen et al. 10.3389/fenvs.2022.798336
- The potential benefit of using forest biomass data in addition to carbon and water flux measurements to constrain ecosystem model parameters: Case studies at two temperate forest sites T. Thum et al. 10.1016/j.agrformet.2016.12.004
- Improving the Capability of the SCOPE Model for Simulating Solar-Induced Fluorescence and Gross Primary Production Using Data from OCO-2 and Flux Towers H. Wang & J. Xiao 10.3390/rs13040794
- Bayesian integration of flux tower data into a process-based simulator for quantifying uncertainty in simulated output R. Raj et al. 10.5194/gmd-11-83-2018
- Residual correlation and ensemble modelling to improve crop and grassland models R. Sándor et al. 10.1016/j.envsoft.2023.105625
- Developing a common globally applicable method for optical remote sensing of ecosystem light use efficiency K. Huemmrich et al. 10.1016/j.rse.2019.05.009
- Jump around: Selecting Markov Chain Monte Carlo parameters and diagnostics for improved food web model quality and ecosystem representation G. Gerber & U. Scharler 10.1016/j.ecoinf.2024.102865
- Quantifying the Impacts of Land-Use and Climate on Carbon Fluxes Using Satellite Data across Texas, U.S. R. Ray et al. 10.3390/rs11141733
- Environmental Drivers of Gross Primary Productivity and Light Use Efficiency of a Temperate Spruce Forest O. Reitz et al. 10.1029/2022JG007197
- Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems M. Scholze et al. 10.5194/bg-14-3401-2017
- Evaluation of atmospheric and terrestrial effects in the carbon cycle for forest and grassland ecosystems using a remote sensing and modeling approach M. Umair et al. 10.1016/j.agrformet.2020.108187
Saved (preprint)
Latest update: 02 Apr 2025
Short summary
We present a Bayesian estimation of uncertainty in half-hourly GPP partitioned from flux tower measurements of NEE. The results show that it is possible to do this at any desirable time step. This, in turn, can be used to quantify the propagated uncertainty when validating process-based simulators. We further show the importance of using non-informative priors compared to informative priors of the parameters of flux partitioning model as they speed up calculation without loss of precision.
We present a Bayesian estimation of uncertainty in half-hourly GPP partitioned from flux tower...
Altmetrics
Final-revised paper
Preprint