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Gingin Flux Data Release 2021_v1 

Ver: 1.0
Status of Data: completed
Update Frequency: biannually
Security Classification: unclassified
Record Last Modified: 2025-12-02
Viewed 210 times
Accessed 12 times
Dataset Created: 2021-08-06
Dataset Published: 2021-09-19
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLHTTPNetCDF files (2021_v1)HTTPro-crate-metadata.json
How to cite this collection:
Silberstein, R., Lambert, P., Lardner, T. & Macfarlane, C. (2021). Gingin Flux Data Release 2021_v1. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/knzn-3g98 
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 (v3.3.0) 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 Gingin site was established in June 2011 by CSIRO and is now managed by Edith Cowan University Centre for Ecosystem Management. The site is a natural woodland of high species diversity. The overstorey is dominated by Banksia spp. mainly B. menziesii, B. attenuata, and B. grandis with a height of around 7m and leaf area index of about 0.8. There are occasional stands of eucalypts and acacia that reach to 10m and have a denser foliage cover. There are many former wetlands dotted around the woodland, most of which were inundated all winter and some had permanent water 30 years ago. The watertable has now fallen below the base of these systems and they are disconnected and are no longer permanently wet. The fine sediments, sometimes diatomaceous, hold water and they have perched watertables each winter. There is a natural progression of species accompanying this process as they gradually become more dominated by more xeric species. The soils are mainly Podosol sands, with low moisture holding capacity. Field capacity typically about 8 to 10%, and in summer these generally hold less than 2% moisture. The water tabl is at about 8.5 m below the surface, and a WA Dept of water long-term monitoring piezometer is near the base of the tower. The instrument mast is 14m tall, with the eddy covariance instruments mounted at 14.8m. Fluxes of carbon dioxide, water vapour and heat are quantified with open-path eddy covariance instrumentation. Ancillary measurements include temperature, air humidity, wind speed and direction, precipitation, incoming and outgoing shortwave radiation, incoming and outgoing long wave radiation, incoming total and diffuse PAR and reflected PAR. Soil water content and temperature are measured at six soil depths. Surface soil heat fluxes are also measured. A COSMOS Cosmic ray soil moisture instrument is installed, along with a logged piezometer, and nested piezometers installed with short screens for groundwater profile sampling. To monitor the watertable gradient, piezometers will be installed 500 m esat and west of the tower.
For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/gingin-banksia-woodland-supersite/. 
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 Gingin Banksia Woodland Site is funded by TERN. It was established by CSIRO and is currently managed by the Edith Cowan University (Centre for Ecosystem Management). The site is co-located with the Land Ecosystem Atmosphere Program (LEAP) – Gingin.
The Gingin flux station is sited on land traditionally owned by the Yued group of the Noongar people. 
Purpose
The purpose of the Gingin flux station is to :
quantify recharge to Gnangara groundwater mound, Perth’s most important water resource
Monitor ecophysiological responses to long-term variation in climate and water table drawdown
quantify landscape-scale exchange of carbon dioxide, water vapour and energy in a coastal heath environment
further understand groundwater recharge under changing climate
provide ecophysiological and micrometeorological data representative of an important biome within Australia subject to drying climate, falling watertables, fire and encroachment of feral species
provide enhanced datasets of landscape-scale exchange of carbon dioxide, water vapour and energy along with ecophysiological characteristics and drivers in a semi-arid temperate ecosystems in Australia. 
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.
The Gingin flux station is located on the Swan Coastal Plain 70km north of Perth, Western Australia, and 2km south of the University of Western Australia International Gravity Wave Observatory.
Temporal Coverage
From 2011-10-13 to 2020-12-31 
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
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 108
Campbell Scientific CS616
Campbell Scientific CS650
Campbell Scientific CSAT3
Campbell Scientific TCAV Averaging Soil Thermocouple Probe
Gill Windsonic4
HyQuest Solutions CS700
Kipp&Zonen CNR1
LI-COR LI-7500
Middleton CN3
Vaisala HMP155
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 fraction of carbon dioxide in air
mole fraction of water vapor in air
Monin-Obukhov length
net ecosystem exchange
net ecosystem productivity
northward wind
relative humidity
soil electrical conductivity
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
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
Gingin Flux Station
Temporal Resolution
1 minute - < 1 hour
Topic
climatologyMeteorologyAtmosphere
User Defined
AU-Gin
banksia heath woodland
Author
Silberstein, Richard
Co-Author
Lambert, Patricia
Lardner, Tim
Macfarlane, Craig Kenneth
Contact Point
Silberstein, Richard
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
Gingin Banksia Woodland SuperSite
Export to DCATExport to BibTeXExport to EndNote/Zotero
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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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