Brief description
This release consists of flux tower measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer using eddy covariance techniques. Data were processed using PyFluxPro (v3.4.21) as described by Isaac et al. (2017) for the quality control and post-processing steps. The final, gap-filled product containing Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER) has been produced using the ONEFlux software as described in Pastorello et al (2020). This data set has been produced as part of the FLUXNET Shuttle project. The Adelaide River flux station was was established in November 2007 and decommissioned in May 2009. It was located approximately 10.5km south east of Bachelor, Northern Territory, coordinated by Prof Jason Beringer and Prof Lindsay Hutley. The flux tower site was classified as Savanna dominated by Eucalyptus tectifica and Planchonia careya. Elevation of the site was close to 90m and mean annual precipitation at a nearby Bureau of Meteorology site is 1730mm. Maximum temperatures range from 31.4°C (in June) to 36.8°C (in October) while minimum temperatures range from 16.2°C (in July) to 25.1°C (in December). Maximum temperature vary seasonally by approximately 5.4°C and minimum temperatures vary by approximately 8.9°C. The instrument mast was 15 meters tall. Heat, water vapour and carbon dioxide measurements were taken using the open-path eddy flux technique. Temperature, humidity, wind speed, wind direction, rainfall, incoming and reflected shortwave radiation and net radiation were measured above the canopy. Soil heat fluxes are measured and soil moisture content was gathered using time domain reflectometry.
Lineage
Data collected using standard eddy covariance and meteorological instrumentation on a 15m tower at the Adelaide River site. The data were quality controlled using the PyFluxPro software package, see Isaac et al (2017), which is available at https://github.com/OzFlux/PyFluxPro. Gap filling and partitioning has been done using the ONEFlux software package, see Pastorello et al 2020, which is available at https://github.com/fluxnet/ONEFlux.Data Creation
Data is measured using standard micro-meteorological instrumentation on a flux tower.
Data is recorded on a data logger and is collected by the site PI.
Data quality control including removal of data outside plausible ranges, removal of spikes, exclusion of particular date ranges and removal of data based on the dependence of one variable on another is done using PyFluxPro.
Filtering for low-ustar conditions, gap filling and partitioning of NEE into GPP and ER are done using ONEFlux.
Notes
CreditWe at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.
The purpose of the Adelaide River Flux Station is to:
- Provide information as part of a larger network of flux towers established along the North Australian Tropical Transect (NATT) gradient, which extends ~1000km south from Darwin 12.5S. The towers provide flux data across the savanna’s heterogeneous ‘top end’ ecosystems including open forest savanna, open savanna woodland and seasonally inundated floodplains.
- Examine spatial patterns and processes of land-surface-atmosphere exchanges (radiation, heat, moisture, CO2 and other trace gasses) across scales from leaf to landscape scales within Australian savannas.
- Determine the climate and ecosystem characteristics (physical structure, species composition, physiological function) that drive spatial and temporal variations of carbon, water and energy fluxes from north Australian savanna.
- Determine if fluxes of carbon, water vapor and heat over the various ecosystems as derived from the various measurement techniques can be combined to form a comprehensive and consistent estimate of the regional fluxes and budgets across the landscape.
- Provide longer term measurements for future projects.
Data Quality Assessment Scope
local :
dataset
The data have been quality controlled using the PyFluxPro software. Quality control checks applied to the data include:<ul style="list-style-type: disc;">
<li>range checks for plausible limits</li>
<li>spike detection and removal</li>
<li>dependency on other variables</li>
<li>manual rejection of date ranges</li></ul>
<br>
Specific checks applied to the sonic and IRGA data including rejection of points based on the sonic and IRGA diagnostic values and on either automatic gain control (AGC) or CO2 and H2O signal strength, depending upon the configuration of the IRGA.</br>
<br>If the data quality is poor, the meteorological data is filled from ERA5 reanalysis data and fluxes are filled using the Marginal Distribution Sampling method. Filled data can be identified by the Quality Controls flags in the dataset. </br>
<br>The ONEFlux software used to gap fill and partition this data set also applies a Median Absolute Deviation (MAD) filter to the carbon dioxide, latent heat and sensible heat before the gap filling step.</br>
Isaac P., Cleverly J., McHugh I., van Gorsel E., Ewenz C. and Beringer, J. (2017). OzFlux data: network integration from collection to curation, Biogeosciences, 14: 2903-2928
doi :
https://doi.org/10.5194/bg-14-2903-2017
Data Quality Assessment Result
local :
Quality Result
No anomalous data detected after quality control.
Created: 2025-12-11
Issued: 2026-03-25
Modified: 2026-03-25
Data time period: 2007-10-17 to 2009-05-24
text: The Adelaide River flux tower was located approximately 10.5km south east of Bachelor, Northern Territory.
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Point-of-truth metadata URL
Isaac P., Cleverly J., McHugh I., van Gorsel E., Ewenz C. and Beringer, J. (2017). OzFlux data: network integration from collection to curation, Biogeosciences, 14: 2903-2928
doi :
https://doi.org/10.5194/bg-14-2903-2017
PyFluxPro
uri :
https://github.com/OzFlux/PyFluxPro
ONEFlux
uri :
https://github.com/fluxnet/ONEFlux
Pastorello, G., Trotta, C., Canfora, E. et al. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Sci Data 7, 225 (2020).
- URI : geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/15a1c3f3-32d0-47a4-9e00-b5809c5bc1b3
- global : 15a1c3f3-32d0-47a4-9e00-b5809c5bc1b3
