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Litchfield FLUXNET Release 2026_r1 

Ver: 2026_r1
Status of Data: completed
Update Frequency: annually
Security Classification: unclassified
Record Last Modified: 2026-04-02
Viewed 0 times
Accessed 0 times
Dataset Created: 2026-03-11
Dataset Published: 2026-04-01
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLOPeNDAP2026_r1 FLUXNET LitchfieldHTTPro-crate-metadata.json
How to cite this collection:
Beringer, J., Hutley, L. & Northwood, M. (2026). Litchfield FLUXNET Release 2026_r1. Version 2026_r1. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/4vb1-tr22 
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 Litchfield flux station is located within Litchfield National Park in the Northern Territory.

It was established in 2015 and is managed by Charles Darwin University and The University of Western Australia.

The station is a research and monitoring site representative of high rainfall, frequently burnt tropical savanna. The site is a 5 km x 5 km block of relatively uniform open-forest savanna inside the park about 80 km south of Darwin.

Measurements of carbon sequestration and remote sensing properties of vegetation through time are being achieved via a 40 m guyed tower equipped with instrumentation capable of directly measuring CO2, water use and surface energy properties (energy balance, reflectance). The Litchfield flux station is located within Litchfield National Park in the Northern Territory. 
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 Litchfield flux station is to:
    The Litchfield flux station will provide nationally consistent observations of vegetation dynamics, faunal biodiversity, micrometeorology (climate, radiation, fluxes of carbon and water), hydrology and biogeochemistry to examine the impacts of fire regime, climate on carbon stocks and GHG emissions, and impacts on habitat quality via ongoing monitoring of vegetation structure and fauna. A wide range of ground based observations of vegetation structure and floristics is planned and all will link to remote sensing of fire and vegetation change over time. Co-location of Flux observations and remote sensing systems will be co-located to provide TERN with a ground-/air-/space based remote sensing observation stream. This will enable the development of tools describing fire occurrence, severity and associated greenhouse gas emissions, evapotranspiration and carbon sequestration.
    On-going fauna and flora monitoring will be undertaken at 5 sites within the SSS footprint that are component sites of the '3 Parks' data base, a long-term (15 years+) monitoring program across the 3 major national parks of the NT (Kakadu, Nitmiluk and Litchfield National Parks) that is examining the effects of fire frequency on vegetation structure and woody growth rates. Fire management, both protective and experimental burning regimes will be implemented across the SSS to assess impacts of fire on flora, fauna and biogeochemical cycles in savanna. The tower will provide long-term measurements as part of the Ozflux network.
    Key research questions
    - What are the impacts of prevailing fire regimes (primarily frequency, but also intensity, extent, heterogeneity) on vegetation structure and composition, habitat quality, fragmentation and vertebrate faunal biodiversity?
 
Lineage
Data collected using standard eddy covariance and meteorological instrumentation on a 40m tower at the Litchfield 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, Biogeosciences, 14: 2903-2928PyFluxProONEFlux
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 Litchfield flux tower is located within Litchfield National Park in the Northern Territory. 
Temporal Coverage
From 2015-06-23 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). OzFlux data: network integration from collection to curation, Biogeosciences, 14: 2903-2928
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
Meteorology
Soil sciences
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
ATMOSPHERE - WATER VAPOR PROCESSES
ATMOSPHERE - WIND DIRECTION PROFILES
BIOSPHERE - RESPIRATION RATE
CLIMATE INDICATORS - CARBON FLUX
CRYOSPHERE - SENSIBLE HEAT 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
Litchfield Flux Station
Temporal Resolution
1 minute - < 1 hour
Topic
climatologyMeteorologyAtmosphere
environment
User Defined
AU-Lit
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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