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Dry River Flux Data Release 2025_v1 

Ver: 2025_v1
Status of Data: completed
Update Frequency: biannually
Security Classification: unclassified
Record Last Modified: 2025-03-24
Viewed 8 times
Accessed 7 times
Dataset Created: 2025-03-13
Dataset Published: 2025-03-24
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLOPeNDAPNetCDF files (2025_v1)HTTPro-crate-metadata.json
How to cite this collection:
Beringer, J., Hutley, L. & Northwood, M. (2025). Dry River Flux Data Release 2025_v1. Version 2025_v1. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/q5r2-zc46 
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 (v3.4.18) as described by Isaac et al. (2017). PyFluxPro produces a final, gap-filled product with Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER).

The site is classified as open forest savanna. The overstory is co-dominated by tree species Eucalyptus tetrodonta, Eucalyptus dichromophloia, Corymbia terminalis, Sorghum intrans, Sorghum plumosum, Themeda triandra and Chrysopogon fallax, with canopy height averaging 12.3 m. Elevation of the site is close to 175 m and mean annual precipitation from a nearby Bureau of Meteorology site measures 895.3 mm. 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 m 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, nitrogen and chlorophyll concentrations), vegetation optical properties and soil physical properties. Airborne based remote sensing (Lidar and hyperspectral measurements) was carried out across the site 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.
The site is managed by the University of Western Australia and Charles Darwin University. The flux station is part of the Australia OzFlux Network and the international FLUXNET Network. 
Purpose
The purpose of the Dry River Flux Station is to:
  • 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
  • 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 vapour and heat over the various ecosystems as derived from the various measurement techniques can be used to form a comprehensive and consistent estimate of the regional fluxes and budgets across the landscape.
 
Lineage
All flux raw data is subject to the quality control process OzFlux QA/QC to generate data from L1 to L6. Levels 3 to 6 are available for re-use. Datasets contain Quality Controls flags which will indicate when data quality is poor and has been filled from alternative sources. For more details, refer to Isaac et al. (2017). 
Method DocumentationIsaac 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
Procedure StepsData not provided.
Approximately 89 km south of Katherine, Northern Territory.
Temporal Coverage
From 2009-10-25 to 2025-02-02 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

Data Quality Assessment Scope
Processing levels

Under each of the data release directories, the netcdf files are organised by processing levels (L3, L4, L5 and L6):
  • L3 (Level 3) processing applies a range of quality assurance/quality control measures (QA/QC) to the L1 data. The variable names are mapped to the standard variable names (CF 1.8) as part of this step. The L3 netCDF file is then the starting point for all further processing stages.
  • L4 (Level 4) processing fills gaps in the radiation, meteorological and soil quantities utilising AWS (automated weather station), ACCESS-G (Australian Community Climate and Earth-System Simulator) and ERA5 (the fifth generation ECMWF atmospheric reanalysis of the global climate).
  • L5 (Level 5) processing fills gaps in the flux data employing the artificial neural network SOLO (self-organising linear output map).
  • L6 (Level 6) processing partitions the gap-filled NEE into GPP and ER.
Each processing level has two sub-folders ‘default’ and ‘site_pi’:
  • default: contains files processed using PyFluxPro
  • site_pi: contains files processed by the principal investigators of the site.
If the data quality is poor, the data is filled from alternative sources. Filled data can be identified by the Quality Controls flags in the dataset. Quality control checks include:
  • range checks for plausible limits
  • spike detection
  • dependency on other variables
  • manual rejection of date ranges
Specific checks applied to the sonic and IRGA data include 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.

Dry River Flux Tower was established in 2009 and is currently active. The processed data release is currently ongoing, biannually. 
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
Data Quality Assessment Outcome
Data not provided. 
ANZSRC - FOR
Atmospheric sciences
Climate change impacts and adaptation
Ecosystem function
Environmental management
Soil sciences
GCMD Sciences
LAND SURFACE - SOIL TEMPERATURE
ATMOSPHERE - TURBULENCE
ATMOSPHERE - EVAPOTRANSPIRATION
LAND SURFACE - LAND PRODUCTIVITY
ATMOSPHERE - HUMIDITY
ATMOSPHERE - HEAT FLUX
ATMOSPHERE - TRACE GASES/TRACE SPECIES
ATMOSPHERE - LONGWAVE RADIATION
ATMOSPHERE - INCOMING SOLAR RADIATION
BIOSPHERE - TERRESTRIAL ECOSYSTEMS
ATMOSPHERE - ATMOSPHERIC PRESSURE MEASUREMENTS
ATMOSPHERE - SHORTWAVE RADIATION
ATMOSPHERE - WIND SPEED
SOLID EARTH - BIOGEOCHEMICAL PROCESSES
LAND SURFACE - SOIL MOISTURE/WATER CONTENT
ATMOSPHERE - ATMOSPHERIC CARBON DIOXIDE
ATMOSPHERE - PRECIPITATION AMOUNT
BIOSPHERE - PHOTOSYNTHETICALLY ACTIVE RADIATION
ATMOSPHERE - WIND DIRECTION
ATMOSPHERE - AIR TEMPERATURE
Horizontal Resolution
Point Resolution
Instruments
Campbell Scientific CSAT3
Kipp&Zonen CNR4
Vaisala HMP45C
HyQuest Solutions CS700
LI-COR LI-7500
Kipp&Zonen NR Lite
Campbell Scientific TCAV Averaging Soil Thermocouple Probe
Campbell Scientific CS616
Parameters
wind speed
vertical wind
magnitude of surface downward stress
Monin-Obukhov length
net ecosystem productivity
gross primary productivity
surface friction velocity
ecosystem respiration
lateral component of wind speed
net ecosystem exchange
specific humidity saturation deficit in air
longitudinal component of wind speed
surface upward flux of available energy
enhanced vegetation index
downward heat flux at ground level in soil
volume fraction of condensed water in soil
surface upwelling longwave flux in air
thickness of rainfall amount
mole fraction of water vapor in air
water vapor partial pressure in air
wind from direction
surface upward mole flux of carbon dioxide
specific humidity
air temperature
surface net downward radiative flux
surface upward sensible heat flux
surface upward latent heat flux
mass concentration of water vapor in air
water evapotranspiration flux
water vapor saturation deficit in air
surface air pressure
surface upwelling shortwave flux in air
surface downwelling longwave flux in air
soil temperature
mole fraction of carbon dioxide in air
surface downwelling shortwave flux in air
relative humidity
Platforms
Dry River Flux Station
Temporal Resolution
1 minute - < 1 hour
Topic
climatologyMeteorologyAtmosphere
User Defined
AU-Dry
Eddy Covariance
open forest savanna
Author
Beringer, Jason
Hutley, Lindsay
Co-Author
Northwood, Matthew
Contact Point
Hutley, Lindsay
Beringer, Jason
Publisher
Terrestrial Ecosystem Research Network
Beringer J., Hutley L. B., McHugh I., Arndt S. K., Campbell D., Cleugh H. A., Cleverly J., Resco de Dios V., Eamus D., Evans B., Ewenz C., Grace P., Griebel A., Haverd V., Hinko-Najera N., Huete A., Isaac P., Kanniah K., Leuning R., Liddell M. J., Macfarlane C., Meyer W., Moore C., Pendall E., Phillips A., Phillips R. L., Prober S. M., Restrepo-Coupe N., Rutledge S., Schroder I., Silberstein R., Southall P., Yee M. S., Tapper N. J., van Gorsel E., Vote C., Walker J. and Wardlaw T. (2016). An introduction to the Australian and New Zealand flux tower network - OzFlux, Biogeosciences, 13: 5895-5916
Supplemental Information
Data not provided. 
Resource Specific Usage
Data not provided. 
Environment Description
File naming convention

The NetCDF files follow the naming convention below:

SiteName_ProcessingLevel_FromDate_ToDate_Type.nc
  • SiteName: short name of the site
  • ProcessingLevel: file processing level (L3, L4, L5, L6)
  • FromDate: temporal interval (start), YYYYMMDD
  • ToDate: temporal interval (end), YYYYMMDD
  • Type (Level 6 only): Summary, Monthly, Daily, Cumulative, Annual
For the NetCDF files at Level 6 (L6), there are several additional 'aggregated' files. For example:
  • Summary: This file is a summary of the L6 data for daily, monthly, annual and cumulative data. The files Monthly to Annual below are combined together in one file.
  • Monthly: This file shows L6 monthly averages of the respective variables, e.g. AH, Fc, NEE, etc.
  • Daily: same as Monthly but with daily averages.
  • Cumulative: File showing cumulative values for ecosystem respiration, evapo-transpiration, gross primary product, net ecosystem exchange and production as well as precipitation.
  • Annual: same as Monthly but with annual averages.
 
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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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Version:6.2.11