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Whroo Flux Data Release 2024_v1 

Ver: 2024_v1
Status of Data: completed
Update Frequency: biannually
Security Classification: unclassified
Record Last Modified: 2025-12-02
Viewed 68 times
Accessed 4 times
Dataset Created: 2024-03-13
Dataset Published: 2024-04-18
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLOPeNDAPNetCDF files (2024_v1)HTTPro-crate-metadata.json
How to cite this collection:
Arndt, S., Beringer, J., Hinko-Najera, N. & McHugh, I. (2024). Whroo Flux Data Release 2024_v1. Version 2024_v1. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/zm05-ss34 
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 (v3.4.17) 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 box woodland, dominated by two main eucalypt species: Eucalyptus microcarpa (grey box) and Eucalyptus leucoxylon (yellow gum). The site has an elevation of 165 m. Mean annual precipitation measured by the nearby Bureau of Meteorology site is 558 mm. Maximum temperatures range from 12.6 °C (in July) to 29.8 °C (in January), while minimum temperatures range from 3.2 °C (in July) to 14.2 °C (in February). Maximum temperatures vary on a seasonal basis by approximately 17.2 °C and minimum temperatures by 11.0 °C.

The instrument mast is 36 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. 
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.

Whroo flux station was originally established by the University of Western Australia in October 2011 as part of an ARC Linkage project "More bang for your carbon buck: carbon, biodiversity and water balance consequences of whole-catchment carbon farming" (LP0990038) Dr Ross Michael Thompson, A/Prof Jason Beringer, Dr Timothy Richard Cavagnaro, Prof Ralph Charles MacNally, Dr Patrick John Baker, Mr Mark Eigenraam, Mr Leon Metzeling. The site is affiliated to TERN and is now managed by the University of Melbourne. 
Purpose
The purpose of the Whroo site is to:
  • assess how revegetation affects the interaction among carbon dynamics, water regimes (quality, quantity and frequency) and biodiversity across the landscape (above- and below-ground terrestrial, and aquatic ecosystems)
  • develop a robust observational and modelling platform for soil-plant-atmosphere carbon and water fluxes for a range of land-use practices, including carbon farming, in these landscapes
  • assess how carbon farming can be modified to increase biodiversity conservation.
 
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.
Approximately 45km south west of Shepparton, Victoria.
Temporal Coverage
From 2011-12-01 to 2023-12-31 
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.

Whroo Flux Tower was established in 2011, 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 - 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
Delta-T Devices SPN1
Hukseflux HFP01
HyQuest Solutions CS700
Kipp&Zonen CNR4
LI-COR LI-7500
LI-COR LI-840
Vaisala HMP45C
Parameters
air temperature
downward heat flux at ground level in soil
ecosystem respiration
enhanced vegetation index
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
Whroo Flux Station
Temporal Resolution
1 minute - < 1 hour
Topic
climatologyMeteorologyAtmosphere
User Defined
AU-Whr
dry sclerophyll woodland
eddy covariance
Author
Arndt, Stefan
Beringer, Jason
Co-Author
Hinko-Najera, Nina
McHugh, Ian
Contact Point
Arndt, Stefan
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 productivity, net ecosystem exchange and production as well as precipitation.
  • Annual: same as Monthly but with annual averages.
 
By Parent record
Whroo Flux Data Collection
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Terrestrial Ecosystem Research Network
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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 
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. 

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