Articles | Volume 12, issue 8
https://doi.org/10.5194/bg-12-2311-2015
© 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-12-2311-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 Apr 2015
Research article |
| 17 Apr 2015
On the use of the post-closure methods uncertainty band to evaluate the performance of land surface models against eddy covariance flux data
J. Ingwersen
CORRESPONDING AUTHOR
Institute of Soil Science and Land Evaluation, Universität Hohenheim, 70593 Stuttgart, Germany
K. Imukova
Institute of Soil Science and Land Evaluation, Universität Hohenheim, 70593 Stuttgart, Germany
P. Högy
Institute of Landscape and Plant Ecology, Universität Hohenheim, 70593 Stuttgart, Germany
T. Streck
Institute of Soil Science and Land Evaluation, Universität Hohenheim, 70593 Stuttgart, Germany
Viewed
Total article views: 3,498 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 09 Dec 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,805 | 1,329 | 364 | 3,498 | 186 | 242 |
- HTML: 1,805
- PDF: 1,329
- XML: 364
- Total: 3,498
- BibTeX: 186
- EndNote: 242
Total article views: 2,787 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 17 Apr 2015)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,509 | 1,025 | 253 | 2,787 | 167 | 218 |
- HTML: 1,509
- PDF: 1,025
- XML: 253
- Total: 2,787
- BibTeX: 167
- EndNote: 218
Total article views: 711 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 09 Dec 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 296 | 304 | 111 | 711 | 19 | 24 |
- HTML: 296
- PDF: 304
- XML: 111
- Total: 711
- BibTeX: 19
- EndNote: 24
Cited
26 citations as recorded by crossref.
- Water requirements of short rotation poplar coppice: Experimental and modelling analyses across Europe M. Fischer et al. https://doi.org/10.1016/j.agrformet.2017.12.079
- Carbon cycle responses to climate change across China's terrestrial ecosystem: Sensitivity and driving process K. Jiao et al. https://doi.org/10.1016/j.scitotenv.2024.170053
- Estimating spatially distributed turbulent heat fluxes from high-resolution thermal imagery acquired with a UAV system C. Brenner et al. https://doi.org/10.1080/01431161.2017.1280202
- Evaluating surface fluxes in WRF using eddy-covariance flux measurements in the Western and Eastern U.S. F. Wu et al. https://doi.org/10.1016/j.agrformet.2026.111029
- Quantifying turbulent energy fluxes and evapotranspiration in agricultural field conditions: A comparison of micrometeorological methods G. Pozníková et al. https://doi.org/10.1016/j.agwat.2018.07.041
- Closing the energy balance using a canopy heat capacity and storage concept – a physically based approach for the land component JSBACHv3.11 M. Heidkamp et al. https://doi.org/10.5194/gmd-11-3465-2018
- Assessing the accuracy of OpenET satellite-based evapotranspiration data to support water resource and land management applications J. Volk et al. https://doi.org/10.1038/s44221-023-00181-7
- Improving the energy balance closure over a winter wheat field by accounting for minor storage terms R. Eshonkulov et al. https://doi.org/10.1016/j.agrformet.2018.10.012
- Coupling the land surface model Noah-MP with the generic crop growth model Gecros: Model description, calibration and validation J. Ingwersen et al. https://doi.org/10.1016/j.agrformet.2018.06.023
- Comparison of evapotranspiration estimates using the water balance and the eddy covariance methods T. Denager et al. https://doi.org/10.1002/vzj2.20032
- Exploring and closing the energy balance of eddy covariance measurements along a land use gradient in the West African Sudanian savanna L. Nadolski et al. https://doi.org/10.3389/frwa.2024.1393884
- Simulation of latent heat flux over a high altitude pasture in the tropical Andes with a coupled land surface framework J. Bendix et al. https://doi.org/10.1016/j.scitotenv.2025.179510
- Multi-site calibration and validation of a net ecosystem carbon exchange model for croplands A. Klosterhalfen et al. https://doi.org/10.1016/j.ecolmodel.2017.07.028
- Distinguishing between early- and late-covering crops in the land surface model Noah-MP: impact on simulated surface energy fluxes and temperature K. Bohm et al. https://doi.org/10.5194/bg-17-2791-2020
- ERTFM: An Effective Model to Fuse Chinese GF-1 and MODIS Reflectance Data for Terrestrial Latent Heat Flux Estimation L. Zhang et al. https://doi.org/10.3390/rs13183703
- Multi-site, multi-crop measurements in the soil–vegetation–atmosphere continuum: a comprehensive dataset from two climatically contrasting regions in southwestern Germany for the period 2009–2018 T. Weber et al. https://doi.org/10.5194/essd-14-1153-2022
- Evaluation of energy balance closure adjustment methods by independent evapotranspiration estimates from lysimeters and hydrological simulations M. Mauder et al. https://doi.org/10.1002/hyp.11397
- Connection Between Root Zone Soil Moisture and Surface Energy Flux Partitioning Using Modeling, Observations, and Data Assimilation for a Temperate Grassland Site in Germany P. Shrestha et al. https://doi.org/10.1029/2016JG003753
- High-resolution land surface fluxes from satellite and reanalysis data (HOLAPS v1.0): evaluation and uncertainty assessment A. Loew et al. https://doi.org/10.5194/gmd-9-2499-2016
- Evaluating multi-year, multi-site data on the energy balance closure of eddy-covariance flux measurements at cropland sites in southwestern Germany R. Eshonkulov et al. https://doi.org/10.5194/bg-16-521-2019
- Biases in Model-Simulated Surface Energy Fluxes During the Indian Monsoon Onset Period T. Chakraborty et al. https://doi.org/10.1007/s10546-018-0395-x
- Investigation of PBL schemes combining the WRF model simulations with scanning water vapor differential absorption lidar measurements J. Milovac et al. https://doi.org/10.1002/2015JD023927
- Eddy covariance based surface‐atmosphere exchange and crop coefficient determination in a mountainous peatland L. Gerling et al. https://doi.org/10.1002/eco.2047
- The land–atmosphere feedback observatory: a new observational approach for characterizing land–atmosphere feedback F. Späth et al. https://doi.org/10.5194/gi-12-25-2023
- A comprehensive analysis of interseasonal and interannual energy and water balance dynamics in semiarid shrubland and forest ecosystems P. Valayamkunnath et al. https://doi.org/10.1016/j.scitotenv.2018.09.130
- Grid-based calibration of the WRF-Hydro with Noah-MP model with improved groundwater and transpiration process equations I. Sofokleous et al. https://doi.org/10.1016/j.jhydrol.2022.128991
26 citations as recorded by crossref.
- Water requirements of short rotation poplar coppice: Experimental and modelling analyses across Europe M. Fischer et al. https://doi.org/10.1016/j.agrformet.2017.12.079
- Carbon cycle responses to climate change across China's terrestrial ecosystem: Sensitivity and driving process K. Jiao et al. https://doi.org/10.1016/j.scitotenv.2024.170053
- Estimating spatially distributed turbulent heat fluxes from high-resolution thermal imagery acquired with a UAV system C. Brenner et al. https://doi.org/10.1080/01431161.2017.1280202
- Evaluating surface fluxes in WRF using eddy-covariance flux measurements in the Western and Eastern U.S. F. Wu et al. https://doi.org/10.1016/j.agrformet.2026.111029
- Quantifying turbulent energy fluxes and evapotranspiration in agricultural field conditions: A comparison of micrometeorological methods G. Pozníková et al. https://doi.org/10.1016/j.agwat.2018.07.041
- Closing the energy balance using a canopy heat capacity and storage concept – a physically based approach for the land component JSBACHv3.11 M. Heidkamp et al. https://doi.org/10.5194/gmd-11-3465-2018
- Assessing the accuracy of OpenET satellite-based evapotranspiration data to support water resource and land management applications J. Volk et al. https://doi.org/10.1038/s44221-023-00181-7
- Improving the energy balance closure over a winter wheat field by accounting for minor storage terms R. Eshonkulov et al. https://doi.org/10.1016/j.agrformet.2018.10.012
- Coupling the land surface model Noah-MP with the generic crop growth model Gecros: Model description, calibration and validation J. Ingwersen et al. https://doi.org/10.1016/j.agrformet.2018.06.023
- Comparison of evapotranspiration estimates using the water balance and the eddy covariance methods T. Denager et al. https://doi.org/10.1002/vzj2.20032
- Exploring and closing the energy balance of eddy covariance measurements along a land use gradient in the West African Sudanian savanna L. Nadolski et al. https://doi.org/10.3389/frwa.2024.1393884
- Simulation of latent heat flux over a high altitude pasture in the tropical Andes with a coupled land surface framework J. Bendix et al. https://doi.org/10.1016/j.scitotenv.2025.179510
- Multi-site calibration and validation of a net ecosystem carbon exchange model for croplands A. Klosterhalfen et al. https://doi.org/10.1016/j.ecolmodel.2017.07.028
- Distinguishing between early- and late-covering crops in the land surface model Noah-MP: impact on simulated surface energy fluxes and temperature K. Bohm et al. https://doi.org/10.5194/bg-17-2791-2020
- ERTFM: An Effective Model to Fuse Chinese GF-1 and MODIS Reflectance Data for Terrestrial Latent Heat Flux Estimation L. Zhang et al. https://doi.org/10.3390/rs13183703
- Multi-site, multi-crop measurements in the soil–vegetation–atmosphere continuum: a comprehensive dataset from two climatically contrasting regions in southwestern Germany for the period 2009–2018 T. Weber et al. https://doi.org/10.5194/essd-14-1153-2022
- Evaluation of energy balance closure adjustment methods by independent evapotranspiration estimates from lysimeters and hydrological simulations M. Mauder et al. https://doi.org/10.1002/hyp.11397
- Connection Between Root Zone Soil Moisture and Surface Energy Flux Partitioning Using Modeling, Observations, and Data Assimilation for a Temperate Grassland Site in Germany P. Shrestha et al. https://doi.org/10.1029/2016JG003753
- High-resolution land surface fluxes from satellite and reanalysis data (HOLAPS v1.0): evaluation and uncertainty assessment A. Loew et al. https://doi.org/10.5194/gmd-9-2499-2016
- Evaluating multi-year, multi-site data on the energy balance closure of eddy-covariance flux measurements at cropland sites in southwestern Germany R. Eshonkulov et al. https://doi.org/10.5194/bg-16-521-2019
- Biases in Model-Simulated Surface Energy Fluxes During the Indian Monsoon Onset Period T. Chakraborty et al. https://doi.org/10.1007/s10546-018-0395-x
- Investigation of PBL schemes combining the WRF model simulations with scanning water vapor differential absorption lidar measurements J. Milovac et al. https://doi.org/10.1002/2015JD023927
- Eddy covariance based surface‐atmosphere exchange and crop coefficient determination in a mountainous peatland L. Gerling et al. https://doi.org/10.1002/eco.2047
- The land–atmosphere feedback observatory: a new observational approach for characterizing land–atmosphere feedback F. Späth et al. https://doi.org/10.5194/gi-12-25-2023
- A comprehensive analysis of interseasonal and interannual energy and water balance dynamics in semiarid shrubland and forest ecosystems P. Valayamkunnath et al. https://doi.org/10.1016/j.scitotenv.2018.09.130
- Grid-based calibration of the WRF-Hydro with Noah-MP model with improved groundwater and transpiration process equations I. Sofokleous et al. https://doi.org/10.1016/j.jhydrol.2022.128991
Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
The energy balance of eddy covariance (EC) flux data is normally not closed. Therefore, EC flux data are usually post-closed, i.e. the measured turbulent fluxes are adjusted so as to close the energy balance. We propose to use in model evaluation the post-closure method uncertainty band (PUB) to account for the uncertainty in EC data originating from lacking energy balance closure. Working with only a single post-closing method might result in severe misinterpretations in model-data comparison.
The energy balance of eddy covariance (EC) flux data is normally not closed. Therefore, EC flux...
Altmetrics
Final-revised paper
Preprint