Articles | Volume 14, issue 6
https://doi.org/10.5194/bg-14-1457-2017
© Author(s) 2017. 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-14-1457-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Technical note: Dynamic INtegrated Gap-filling and partitioning for OzFlux (DINGO)
School of Earth and Environment (SEE), The University of Western
Australia, Crawley WA, 6009, Australia
Ian McHugh
School of Earth, Atmosphere and Environment, Monash University,
Clayton, 3800, Australia
Lindsay B. Hutley
School of Environment, Research Institute for the Environment and
Livelihoods, Charles Darwin University, NT 0909, Australia
Peter Isaac
School of Earth, Atmosphere and Environment, Monash University,
Clayton, 3800, Australia
Natascha Kljun
Department of Geography, Swansea University, Singleton Park, Swansea,
Wales SA2 8PP, UK
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31 citations as recorded by crossref.
- Productivity of an Australian mountain grassland is limited by temperature and dryness despite long growing seasons R. Marchin et al. 10.1016/j.agrformet.2018.02.030
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- Thermal optima of gross primary productivity are closely aligned with mean air temperatures across Australian wooded ecosystems A. Bennett et al. 10.1111/gcb.15760
- Carbon, water and energy fluxes in agricultural systems of Australia and New Zealand J. Cleverly et al. 10.1016/j.agrformet.2020.107934
- Does maximization of net carbon profit enable the prediction of vegetation behaviour in savanna sites along a precipitation gradient? R. Nijzink et al. 10.5194/hess-26-525-2022
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- Net landscape carbon balance of a tropical savanna: Relative importance of fire and aquatic export in offsetting terrestrial production C. Duvert et al. 10.1111/gcb.15287
- A comparison of gap-filling algorithms for eddy covariance fluxes and their drivers A. Mahabbati et al. 10.5194/gi-10-123-2021
- Bridge to the future: Important lessons from 20 years of ecosystem observations made by the OzFlux network J. Beringer et al. 10.1111/gcb.16141
- Net ecosystem carbon exchange of a dry temperate eucalypt forest N. Hinko-Najera et al. 10.5194/bg-14-3781-2017
- Gap Filling Method and Estimation of Net Ecosystem CO2 Exchange in Alpine Wetland of Qinghai–Tibet Plateau X. Wang et al. 10.3390/su15054652
- Challenges and opportunities in land surface modelling of savanna ecosystems R. Whitley et al. 10.5194/bg-14-4711-2017
- Seasonal, interannual and decadal drivers of tree and grass productivity in an Australian tropical savanna C. Moore et al. 10.1111/gcb.14072
- Representing Grasslands Using Dynamic Prognostic Phenology Based on Biological Growth Stages: Part 2. Carbon Cycling K. Haynes et al. 10.1029/2018MS001541
- Modelling Within-Season Variation in Light Use Efficiency Enhances Productivity Estimates for Cropland M. Wellington et al. 10.3390/rs14061495
- Influence of modifications (from AoB2015 to v0.5) in the Vegetation Optimality Model R. Nijzink et al. 10.5194/gmd-15-883-2022
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- Evaluating the Effectiveness of Using Vegetation Indices Based on Red-Edge Reflectance from Sentinel-2 to Estimate Gross Primary Productivity S. Lin et al. 10.3390/rs11111303
- Gap filling of turbulent heat fluxes over rice–wheat rotation croplands using the random forest model J. Zhang et al. 10.5194/amt-16-2197-2023
- Preface: OzFlux: a network for the study of ecosystem carbon and water dynamics across Australia and New Zealand E. van Gorsel et al. 10.5194/bg-15-349-2018
- Estimating actual evapotranspiration at field-to-continent scales by calibrating the CMRSET algorithm with MODIS, VIIRS, Landsat and Sentinel-2 data J. Guerschman et al. 10.1016/j.jhydrol.2021.127318
- Bigleaf—An R package for the calculation of physical and physiological ecosystem properties from eddy covariance data J. Knauer et al. 10.1371/journal.pone.0201114
- Towards more realistic runoff projections by removing limits on simulated soil moisture deficit K. Fowler et al. 10.1016/j.jhydrol.2021.126505
- Spatial pattern and seasonal dynamics of the photosynthesis activity across Australian rainfed croplands J. Shen et al. 10.1016/j.ecolind.2019.105669
- Improving Estimation of Seasonal Evapotranspiration in Australian Tropical Savannas using a Flexible Drought Index W. Zhuang et al. 10.1016/j.agrformet.2020.108203
- Quantifying the relative importance of greenhouse gas emissions from current and future savanna land use change across northern Australia M. Bristow et al. 10.5194/bg-13-6285-2016
- OzFlux data: network integration from collection to curation P. Isaac et al. 10.5194/bg-14-2903-2017
- Tree–grass phenology information improves light use efficiency modelling of gross primary productivity for an Australian tropical savanna C. Moore et al. 10.5194/bg-14-111-2017
- An introduction to the Australian and New Zealand flux tower network – OzFlux J. Beringer et al. 10.5194/bg-13-5895-2016
- Interannual variability in Australia's terrestrial carbon cycle constrained by multiple observation types C. Trudinger et al. 10.5194/bg-13-6363-2016
26 citations as recorded by crossref.
- Productivity of an Australian mountain grassland is limited by temperature and dryness despite long growing seasons R. Marchin et al. 10.1016/j.agrformet.2018.02.030
- Phenology Dynamics of Dryland Ecosystems Along the North Australian Tropical Transect Revealed by Satellite Solar‐Induced Chlorophyll Fluorescence C. Wang et al. 10.1029/2019GL082716
- Thermal optima of gross primary productivity are closely aligned with mean air temperatures across Australian wooded ecosystems A. Bennett et al. 10.1111/gcb.15760
- Carbon, water and energy fluxes in agricultural systems of Australia and New Zealand J. Cleverly et al. 10.1016/j.agrformet.2020.107934
- Does maximization of net carbon profit enable the prediction of vegetation behaviour in savanna sites along a precipitation gradient? R. Nijzink et al. 10.5194/hess-26-525-2022
- Land surface phenology retrievals for arid and semi-arid ecosystems Q. Xie et al. 10.1016/j.isprsjprs.2022.01.017
- Partitioning of Precipitation Into Terrestrial Water Balance Components Under a Drying Climate H. Gardiya Weligamage et al. 10.1029/2022WR033538
- Net landscape carbon balance of a tropical savanna: Relative importance of fire and aquatic export in offsetting terrestrial production C. Duvert et al. 10.1111/gcb.15287
- A comparison of gap-filling algorithms for eddy covariance fluxes and their drivers A. Mahabbati et al. 10.5194/gi-10-123-2021
- Bridge to the future: Important lessons from 20 years of ecosystem observations made by the OzFlux network J. Beringer et al. 10.1111/gcb.16141
- Net ecosystem carbon exchange of a dry temperate eucalypt forest N. Hinko-Najera et al. 10.5194/bg-14-3781-2017
- Gap Filling Method and Estimation of Net Ecosystem CO2 Exchange in Alpine Wetland of Qinghai–Tibet Plateau X. Wang et al. 10.3390/su15054652
- Challenges and opportunities in land surface modelling of savanna ecosystems R. Whitley et al. 10.5194/bg-14-4711-2017
- Seasonal, interannual and decadal drivers of tree and grass productivity in an Australian tropical savanna C. Moore et al. 10.1111/gcb.14072
- Representing Grasslands Using Dynamic Prognostic Phenology Based on Biological Growth Stages: Part 2. Carbon Cycling K. Haynes et al. 10.1029/2018MS001541
- Modelling Within-Season Variation in Light Use Efficiency Enhances Productivity Estimates for Cropland M. Wellington et al. 10.3390/rs14061495
- Influence of modifications (from AoB2015 to v0.5) in the Vegetation Optimality Model R. Nijzink et al. 10.5194/gmd-15-883-2022
- Soil carbon density can increase when Australian savanna is converted to pasture, but may not change under intense cropping systems S. Livesley et al. 10.1016/j.agee.2021.107527
- Evaluating the Effectiveness of Using Vegetation Indices Based on Red-Edge Reflectance from Sentinel-2 to Estimate Gross Primary Productivity S. Lin et al. 10.3390/rs11111303
- Gap filling of turbulent heat fluxes over rice–wheat rotation croplands using the random forest model J. Zhang et al. 10.5194/amt-16-2197-2023
- Preface: OzFlux: a network for the study of ecosystem carbon and water dynamics across Australia and New Zealand E. van Gorsel et al. 10.5194/bg-15-349-2018
- Estimating actual evapotranspiration at field-to-continent scales by calibrating the CMRSET algorithm with MODIS, VIIRS, Landsat and Sentinel-2 data J. Guerschman et al. 10.1016/j.jhydrol.2021.127318
- Bigleaf—An R package for the calculation of physical and physiological ecosystem properties from eddy covariance data J. Knauer et al. 10.1371/journal.pone.0201114
- Towards more realistic runoff projections by removing limits on simulated soil moisture deficit K. Fowler et al. 10.1016/j.jhydrol.2021.126505
- Spatial pattern and seasonal dynamics of the photosynthesis activity across Australian rainfed croplands J. Shen et al. 10.1016/j.ecolind.2019.105669
- Improving Estimation of Seasonal Evapotranspiration in Australian Tropical Savannas using a Flexible Drought Index W. Zhuang et al. 10.1016/j.agrformet.2020.108203
5 citations as recorded by crossref.
- Quantifying the relative importance of greenhouse gas emissions from current and future savanna land use change across northern Australia M. Bristow et al. 10.5194/bg-13-6285-2016
- OzFlux data: network integration from collection to curation P. Isaac et al. 10.5194/bg-14-2903-2017
- Tree–grass phenology information improves light use efficiency modelling of gross primary productivity for an Australian tropical savanna C. Moore et al. 10.5194/bg-14-111-2017
- An introduction to the Australian and New Zealand flux tower network – OzFlux J. Beringer et al. 10.5194/bg-13-5895-2016
- Interannual variability in Australia's terrestrial carbon cycle constrained by multiple observation types C. Trudinger et al. 10.5194/bg-13-6363-2016
Saved (preprint)
Latest update: 20 Nov 2024
Short summary
Standardised, quality-controlled and robust data from flux networks underpin the understanding of ecosystem processes and tools to manage our natural resources. The Dynamic INtegrated Gap-filling and partitioning for OzFlux (DINGO) system enables gap-filling and partitioning of fluxes and subsequently provides diagnostics and results. Quality data from robust systems like DINGO ensure the utility and uptake of flux data and facilitates synergies between flux, remote sensing and modelling.
Standardised, quality-controlled and robust data from flux networks underpin the understanding...
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