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Ti Tree East Flux Data Collection 

Ver: 1.0
Status of Data: onGoing
Update Frequency: biannually
Security Classification: unclassified
Record Last Modified: 2026-03-17
Viewed 912 times
Accessed 94 times
Dataset Created: 2012-07-18
Dataset Published: 2025-12-10
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLHTTPro-crate-metadata.jsonOPeNDAPCatalog for NetCDF files
How to cite this collection:
Griebel, A., Lieff, N. & Cleverly, J. (2025). Ti Tree East Flux Data Collection. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://portal.tern.org.au/metadata/0596cb85-3bfa-4495-ad88-cc7be60a31d5 
This dataset consists of measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer at Pine Hill cattle station in the Northern Territory using eddy covariance techniques.
The Ti Tree East flux station is located on Pine Hill cattle station, approx. 170 km north of Alice Springs in the Northern Territory. The woodland is characterized by an Acacia aneura canopy, with very isolated Corymbia sp. present. The total standing biomass in the TERN core hectare plot is 27.5 t/ha, and the median canopy height is 4.3 m (Corymbia opaca reach 12.3 m height). Elevation of the site is 553 m above sea level, and the terrain is flat. Mean annual precipitation at the nearby (45 km distant) Bureau of Meteorology station is 311-140 mm (1986-2025), but has ranged between 33 mm in the hydrological years of 2018/2019 to 712 mm in 2016/2017 since the tower is operational. Predominant wind directions are from the southeast and east. The footprint of the flux tower is heterogeneous, with over 80% of the measured fluxes sourced from a small mulga woodland east of the tower and the remainder contributed by an open grassland with widely spaced Corymbia opaca to the west. The soil is characterised as a red kandosol (91:8:1 sand:silt:clay) overlying an approx. 8 m deep water table. Pine Hill Station is a functioning cattle station that has been in operation for longer than 50 years. Fluxes of heat, water vapour and carbon are measured using the open-path eddy covariance technique at 9.8 m. Supplementary measurements above the canopy include temperature and humidity (9.8 m), downwelling and upwelling shortwave and longwave radiation (9.8 m). Precipitation is monitored in a canopy gap near the tower (1.3 m). Supplementary measurements below the canopy include barometric pressure (1 m) and temperature and humidity (2 m). Below ground soil measurements are made in bare soil and include ground heat flux (0.16 m depth), soil temperature (0.02 m – 0.16 m depth) and soil moisture (0.02 – 0.16 m, 0.35 m, 0.60 m and 0.85 m depth).

For additional site information, see http://ozflux.org.au/siteOfTheMonth/2020-09Alice-and-TiTree/2020-09Alice-and-TiTree.html.
This data is also available at http://data.ozflux.org.au.
 
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 Ti Tree East flux station is managed by the University of Technology Sydney (UTS) and is funded by the Terrestrial Ecosystem Research Network (TERN), an Australian Government National Collaborative Research Infrastructure Strategy (NCRIS) project. The site was managed by UTS from 2012-2019, James Cook University from 2019-2023, and UTS from 2024 onwards. We acknowledge contributions from Jamie Cleverly, Ralph Faux and Derek Eamus, who established and managed the site prior to 2024. 
Purpose
The purpose of the Ti Tree East flux station is to :
  • Measure the exchange of carbon dioxide, water vapour and energy between a semi-arid mulga (Acacia sp.) ecosystem and the atmosphere
  • Compare water use efficiency, GPP and ecosystem respiration between adjacent semi-arid ecosystems
  • Compare hydrological and ecophysiological responses to rainfall variability and heat stress between adjacent semi-arid ecosystems
  • Utilise the observations for parameterising and validating remote sensing data and land-surface models over semi-arid ecosystems
 
Lineage
All flux raw data is subject to the quality control process PyFluxPro 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) in the Publications section. 
Method DocumentationData not provided.
Procedure StepsData not provided.
Spatial Description
Pine Hill cattle station, Northern Territory. 
Temporal Coverage
From 2012-07-18 to on going 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

Data Quality Assessment Scope
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 (i) range checks for plausible limits, (ii) spike detection, (iii) dependency on other variables and (iv) 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. For more details, refer to Isaac et al. (2017) in the Publications section.
For further information about the software (PyFluxPro) used to process and quality control the flux data, see https://github.com/OzFlux/PyFluxPro/wiki. 
Data Quality Report
Data not provided. 
Data Quality Assessment Outcome
Data not provided. 
ANZSRC - FOR
Atmospheric sciences
Climate change impacts and adaptation
Ecosystem function
Environmental management
Soil sciences
GCMD Sciences
AGRICULTURE - SOIL MOISTURE/WATER CONTENT
ATMOSPHERE - AIR TEMPERATURE
ATMOSPHERE - ATMOSPHERIC CARBON DIOXIDE
ATMOSPHERE - ATMOSPHERIC PRESSURE MEASUREMENTS
ATMOSPHERE - EVAPOTRANSPIRATION
ATMOSPHERE - HEAT FLUX
ATMOSPHERE - HUMIDITY
ATMOSPHERE - INCOMING SOLAR RADIATION
ATMOSPHERE - LONGWAVE RADIATION
ATMOSPHERE - PRECIPITATION AMOUNT
ATMOSPHERE - SHORTWAVE RADIATION
ATMOSPHERE - TRACE GASES/TRACE SPECIES
ATMOSPHERE - TURBULENCE
ATMOSPHERE - WIND DIRECTION
ATMOSPHERE - WIND SPEED
BIOSPHERE - PHOTOSYNTHETICALLY ACTIVE RADIATION
BIOSPHERE - TERRESTRIAL ECOSYSTEMS
LAND SURFACE - LAND PRODUCTIVITY
LAND SURFACE - SOIL TEMPERATURE
SOLID EARTH - BIOGEOCHEMICAL PROCESSES
Horizontal Resolution
Point Resolution
Instruments
Kipp&Zonen CNR1
Parameters
air temperature
downward heat flux at ground level in soil
eastward wind
ecosystem respiration
gross primary productivity of biomass expressed as carbon
magnitude of surface downward stress
mass concentration of carbon dioxide in air
mass concentration of water vapor in air
mole concentration of water vapor in air
Monin-Obukhov length
net ecosystem exchange
net ecosystem productivity
northward wind
relative humidity
soil moisture content
soil temperature
specific humidity
specific humidity saturation deficit in air
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 flux of available energy
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
upward mole flux of carbon dioxide due inferred from storage
vertical wind
water evapotranspiration flux
water vapor partial pressure in air
water vapor saturation deficit in air
wind from direction
wind speed
Platforms
Ti Tree East Flux Station
Temporal Resolution
1 minute - < 1 hour
Topic
climatologyMeteorologyAtmosphere
User Defined
AU-TTE
mulga woodland
Author
Griebel, Anne
Co-Author
Lieff, Nicola
Cleverly, Jamie
Contributor
Eamus, Derek
Grant, Nicole M
Faux, Ralph
Contact Point
Griebel, Anne
Principal Investigator
Griebel, Anne
Publisher
Terrestrial Ecosystem Research Network
Beringer, Jason et al., 2016. An introduction to the Australian and New Zealand flux tower network – OzFlux. Biogeosciences, 13(21). doi:10.5194/bg-13-5895-2016
Isaac, Peter et al., 2017. OzFlux data: network integration from collection to curation. Biogeosciences, 14(12). doi:10.5194/bg-14-2903-2017
By Child records
Ti Tree East Flux Data Release 2022_v1Ti Tree East Flux Data Release 2022_v2Ti Tree East Flux Data Release 2023_v1Ti Tree East Flux Data Release 2023_v2Ti Tree East Flux Data Release 2024_v1Ti Tree East Flux Data Release 2024_v2
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https://creativecommons.org/licenses/by/4.0/
TERN services are provided on an "as-is" and "as available" basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure.
Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN.

Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting 
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. 

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