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Dry River FLUXNET Release 2026_r1 

Ver: 2026_r1
Status of Data: completed
Update Frequency: annually
Security Classification: unclassified
Record Last Modified: 2026-04-02
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Dataset Created: 2026-03-13
Dataset Published: 2026-04-02
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLOPeNDAP2026_r1 FLUXNET Dry RiverHTTPro-crate-metadata.json
How to cite this collection:
Beringer, J., Hutley, L. & Northwood, M. (2026). Dry River FLUXNET Release 2026_r1. Version 2026_r1. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/mt7s-d941 
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 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 Dry River flux station is located approximately 89km south of Katherine, Northern Territory (GPS coordinates: -15.2588, 132.3706).
It was established in September 2008 and is managed by The University of Western Australia (http://www.uwa.edu.au/) and Charles Darwin University (https://www.cdu.edu.au).
The flux tower site is classified as open forest savanna site. The overstory is co-dominated by tree species E. tetrodonta, E. dichromophloia, C. terminalis, Sorghum intrans, S. plumosum, Themeda triandra and Chrysopogon fallax, with canopy height averaging 12.3m.
Elevation of the site is close to 175m and mean annual precipitation from a nearby Bureau of Meteorology site measures 895.3mm.
Maximum temperatures range from 29.1°C (in June) to 37.6°C (in July), while minimum temperatures range from 14.6°C (in July) to 24.8°C (in November). Maximum temperatures vary seasonally by 8.5°C and minimum by 10.2°C.
The instrument mast is 15 meters tall. Heat, water vapour and carbon dioxide measurements are taken using the open-path eddy flux technique. Temperature, humidity, wind speed, wind direction, rainfall, incoming and reflected shortwave radiation and net radiation are measured above the canopy. Soil heat fluxes are measured and soil moisture content is gathered using time domain reflectometry.
Ancillary measurements taken at the site include LAI, leaf-scale physiological properties (gas exchange, leaf isotope ratios, N and chlorophyll concentrations), vegetation optical properties and soil physical properties. Airborne based remote sensing (Lidar and hyperspectral measurements) was carried out across the transect in September 2008. 
Credit
We 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. 
Purpose
The purpose of the Dry River Flux Station is to:
1) Provide information as part of a larger network of flux stations established along the North Australian Tropical Transect (NATT) gradient, which extends ~1000 km south from Darwin 12.5°S.
2) 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.
3) 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.
4) Determine if fluxes of carbon, water vapour and heat over the various ecosystems as derived from the various measurement techniques can be to form a comprehensive and consistent estimate of the regional fluxes and budgets across the landscape. 
Lineage
Data collected using standard eddy covariance and meteorological instrumentation on a 15m tower at the Dry 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. 
Method DocumentationPastorello, G., Trotta, C., Canfora, E. et al. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Sci Data 7, 225 (2020).Isaac P., Cleverly J., McHugh I., van Gorsel E., Ewenz C. and Beringer, J. (2017). OzFlux data: network integration from collection to curation,PyFluxProONEFlux
Procedure Steps

1. 

Data is measured using standard micro-meteorological instrumentation on a flux tower. 

2. 

Data is recorded on a data logger and is collected by the site PI. 

3. 

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. 

4. 

Filtering for low-ustar conditions, gap filling and partitioning of NEE into GPP and ER are done using ONEFlux. 

Spatial Description
The Dry River flux tower is located pproximately 89km south of Katherine, Northern Territory. 
Temporal Coverage
From 2009-01-01 to 2026-01-01 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

Data Quality Assessment Scope
The data have been quality controlled using the PyFluxPro software. Quality control checks applied to the data include:
  • range checks for plausible limits
  • spike detection and removal
  • dependency on other variables
  • manual rejection of date ranges

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.

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.

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. 
Isaac P., Cleverly J., McHugh I., van Gorsel E., Ewenz C. and Beringer, J. (2017). Oz
Data Quality Assessment Outcome
No anomalous data detected after quality control. 
ANZSRC - FOR
Atmospheric sciences
Carbon sequestration science
Climate change impacts and adaptation
Climatology
Ecosystem function
GCMD Sciences
ATMOSPHERE - AIR TEMPERATURE
ATMOSPHERE - EVAPOTRANSPIRATION
ATMOSPHERE - HUMIDITY
ATMOSPHERE - LATENT HEAT FLUX
ATMOSPHERE - LONGWAVE RADIATION
ATMOSPHERE - RAIN
ATMOSPHERE - SHORTWAVE RADIATION
ATMOSPHERE - VERTICAL WIND VELOCITY/SPEED
ATMOSPHERE - WATER VAPOR PROCESSES
ATMOSPHERE - WIND DIRECTION PROFILES
BIOSPHERE - RESPIRATION RATE
CLIMATE INDICATORS - CARBON FLUX
LAND SURFACE - GROSS PRIMARY PRODUCTION (GPP)
LAND SURFACE - NET ECOSYSTEM CO2 EXCHANGE (NEE)
LAND SURFACE - SENSIBLE HEAT FLUX
LAND SURFACE - SOILS
Horizontal Resolution
250 meters - < 500 meters
Parameters
air temperature
downward heat flux at ground level in soil
ecosystem respiration
gross primary productivity
lateral component of wind speed
longitudinal component of wind speed
magnitude of surface downward stress
mass concentration of water vapor in air
mole fraction of carbon monoxide in dry air
mole fraction of water vapor in air
Monin-Obukhov length
net ecosystem exchange
net ecosystem productivity
net primary productivity of biomass expressed as carbon accumulated in miscellaneous living matter
relative humidity
soil temperature
surface air pressure
surface downwelling longwave flux in air
surface downwelling shortwave flux in air
surface friction velocity
surface net downward radiative flux
surface upward latent heat flux
surface upward mole flux of carbon dioxide
surface upward sensible heat flux
surface upwelling longwave flux in air
surface upwelling shortwave flux in air
thickness of rainfall amount
volume fraction of condensed water in soil
wind from direction
wind speed
Platforms
Dry River Flux Station
Temporal Resolution
1 minute - < 1 hour
Topic
climatologyMeteorologyAtmosphere
environment
User Defined
AU-Dry
FLUXNET ID
Author
Beringer, Jason
Hutley, Lindsay
Co-Author
Northwood, Matthew
Contact Point
Beringer, Jason
Hutley, Lindsay
Principal Investigator
Beringer, Jason
Hutley, Lindsay
Publisher
Terrestrial Ecosystem Research Network
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Terrestrial Ecosystem Research Network
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Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. 
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Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting 

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