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Yarramundi Control Flux Data Release 2023_v2 

Ver: 2023_v2
Status of Data: completed
Update Frequency: biannually
Security Classification: unclassified
Record Last Modified: 2025-12-02
Viewed 46 times
Accessed 4 times
Dataset Created: 2023-10-06
Dataset Published: 2023-12-19
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLOPeNDAPNetCDF files (2023_v2)HTTPro-crate-metadata.json
How to cite this collection:
Pendall, E. (2023). Yarramundi Control Flux Data Release 2023_v2. Version 2023_v2. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/pgkv-fp35 
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 (v3.4.15) 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 Yarramundi Control Paddock site is located near Richmond, NSW (GPS coordinates -33.613469, 150.734864). The site is about 1 km east of the Cumberland Plain Woodland flux tower. The climate is warm-temperate, with annual rainfall averaging 728 mm, mean maximum temperature in January of 30.4°C and mean minimum temperature in July of 3.6°C (BOM station 067105). The elevation of the site is about 20 m asl and the topography is flat. The soil is sandy loam in texture, organic carbon content is <1% nutrient availability is very low in the top 10 cm; iron concretions below 50 cm indicate poor drainage at times. The vegetation canopy is less than 1 m tall, and the plant community is dominated by exotic herbaceous perennials, including Conyza sumatrensis, Setaria parviflora, Cynodon dactylon, Commelina cyanea, Senecio madagascariensis, and Eragrostis curvula.

Fluxes of water vapour, carbon dioxide and heat are quantified with the open-path eddy flux technique from a 2.5 m tall mast. Additional measurements above the canopy include temperature, humidity, rainfall and net radiation, and photographs are taken several times per day to track canopy greenness. 
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. Yarramundi Control Flux Tower station is managed by Western Sydney University. Infrastructure at the site was funded by the Terrestrial Ecosystem Research Network (TERN), a project of the Commonwealth’s National Collaborative Research Infrastructure Strategy (NCRIS). This site is part of OzFlux Australia. 
Purpose
The purpose of Yarramundi Control Paddock flux station is to:
  • measure the exchange of carbon dioxide, water vapour and energy between an unmanaged pasture ecosystem and the atmosphere using micrometeorological techniques
  • support an understanding of forage dynamics on an active cattle station
  • support an understanding of environmental variability on ecosystem processes (such as photosynthesis, respiration or changes in plant structure and function)
  • utilise the measurements for parameterising forage and grazing models
  • utilise the measurements for parameterising and validating remote sensing measurements over semi-arid savanna ecosystems
  • utilise the measurements for parameterising and validating the Earth System models to better understand the effects of climate change.

 
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: 2903-2928PyFluxPro
Procedure StepsData not provided.
Near Richmond, NSW, Australia.
Temporal Coverage
From 2019-11-01 to 2023-07-28 
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.

Yarramundi Control Flux Tower was established in 2019, 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
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 - BIOGEOCHEMICAL CYCLES
BIOSPHERE - PHOTOSYNTHETICALLY ACTIVE RADIATION
BIOSPHERE - TERRESTRIAL ECOSYSTEMS
LAND SURFACE - LAND PRODUCTIVITY
LAND SURFACE - SOIL MOISTURE/WATER CONTENT
LAND SURFACE - SOIL TEMPERATURE
SOLID EARTH - BIOGEOCHEMICAL PROCESSES
Horizontal Resolution
Point Resolution
Instruments
Campbell Scientific CS616
Campbell Scientific CSAT3
Campbell Scientific TCAV Averaging Soil Thermocouple Probe
Hukseflux HFP01
Kipp&Zonen CNR4
Kipp&Zonen NR Lite
LI-COR LI-7500
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 dioxide in air
mole fraction of water vapor in air
Monin-Obukhov length
net ecosystem exchange
net ecosystem productivity
relative humidity
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
vertical wind
volume fraction of condensed water in soil
water evapotranspiration flux
water vapor partial pressure in air
water vapor saturation deficit in air
wind from direction
wind speed
Platforms
Yarramundi Control Flux Station
Temporal Resolution
1 minute - < 1 hour
Topic
climatologyMeteorologyAtmosphere
Author
Pendall, Elise
Contact Point
Pendall, Elise
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.
 
By Parent record
Yarramundi Control Flux Data Collection
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Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.
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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}. 
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 

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Version:6.2.22