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Whroo Flux Data Release 2022_v1 

Ver: 1.0
Status of Data: completed
Update Frequency: notPlanned
Security Classification: unclassified
Record Last Modified: 2025-01-28
Viewed 134 times
Accessed 4 times
Dataset Created: 2022-03-17
Dataset Published: 2022-03-28
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLHTTPNetCDF files (2022_v1)HTTPro-crate-metadata.json
How to cite this collection:
Arndt, S., Beringer, J., Hinko-Najera, N. & McHugh, I. (2022). Whroo Flux Data Release 2022_v1. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/b4kk-5w95 
This data release consists of flux tower measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer in semi-arid eucalypt woodland using eddy covariance techniques. It been processed using PyFluxPro (v3.3.3) as described in Isaac et al. (2017), https://doi.org/10.5194/bg-14-2903-2017. PyFluxPro takes data recorded at the flux tower and process this data to a final, gap-filled product with Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER). For more information about the processing levels, see https://github.com/OzFlux/PyFluxPro/wiki.

The site was classified as box woodland, dominated by two main Eucalypt species:Eucalyptus microcarpa (Grey Box) and Eucalyptus leucoxylon (Yellow Gum).
Elevation of the site is close to 165 m and mean annual precipitation from a nearby Bureau of Meteorology site measured 558 mm. Maximum temperatures ranged from 29.8°C (in January) to 12.6°C (in July), while minimum temperatures ranged from 14.2°C (in February) to 3.2°C (in July). Maximum temperatures varied on a seasonal basis by approximately 17.2°C and minimum temperatures by 11.0°C.

The instrument mast is 36m 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 were measured above the canopy. Soil heat fluxes were measured and soil moisture content was 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. The 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 was 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) in the Publications section, https://doi.org/10.5194/bg-14-2903-2017 . 
Method DocumentationData not provided.
Procedure StepsData not provided.
Approximately 45km south west of Shepparton, Victoria.
Temporal Coverage
From 2011-12-01 to 2022-02-18 
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, https://doi.org/10.5194/bg-14-2903-2017. 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
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
Delta-T Devices SPN1
Campbell Scientific CSAT3
Kipp&Zonen CNR4
Vaisala HMP45C
HyQuest Solutions CS700
Hukseflux HFP01
LI-COR LI-7500
Campbell Scientific TCAV Averaging Soil Thermocouple Probe
Campbell Scientific CS616
LI-COR LI-840
Parameters
wind speed
vertical wind
magnitude of surface downward stress
Monin-Obukhov length
upward mole flux of carbon dioxide due inferred from storage
net ecosystem productivity
surface friction velocity
ecosystem respiration
net ecosystem exchange
specific humidity saturation deficit in air
surface upward flux of available energy
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
northward wind
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
gross primary productivity of biomass expressed as carbon
surface upward latent heat flux
eastward wind
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
mass concentration of carbon dioxide in air
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, 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
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