Brief description
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 (v3.3.1) 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 Alice Springs Mulga flux station is located on Pine Hill cattle station, near Alice Springs in the Northern Territory. The woodland is characterized by the Acacia aneura canopy, which is 6.5m tall on average. Elevation of the site is 606m above sea level, and the terrain is flat. Mean annual precipitation at the nearby (45km distant) Bureau of Meteorology station is 305.9mm but ranges between 100mm in 2009 to 750mm in 2010. Predominant wind directions are from the southeast and east.The extent of the woodland is 11km to the east of the flux station and 16km to the south. The soil is red sandy clay (50:50 sand:clay) overlying a 49m deep water table. Pine Hill Station is a functioning cattle station that has been in operation for longer than 50 years.The instrument mast is 13.7m tall. Fluxes of heat, water vapour and carbon are measured using the open-path eddy covariance technique at 11.6m. Supplementary measurements above the canopy include temperature and humidity (11.6m), windspeed and wind direction (9.25m), downwelling and upwelling shortwave and longwave radiation (12.2m). Precipitation is monitored in a canopy gap (2.5m). Supplementary measurements within and below the canopy include barometric pressure (1m), wind speed (2m, 4.25m and 6.5m), and temperature and humidity (2m, 4.25m and 6m). Below ground soil measurements are made in bare soil, mulga, and understory habitats and include ground heat flux (0.08m), soil temperature (0.02m – 0.06m) and soil moisture (0 – 0.1m, 0.1 – 0.3m, 0.6 – 0.8m and 1.0 – 1.2m). Ancillary measurements include soil water and carbon fluxes, leaf water potential, leaf gas exchange, stem basal area, stem growth, litter production, leaf area index, stem hydraulic conductance, and carbon and water stable isotope ratios. The site was established in September 2010 in conjunction with the Woodforde River NGCRT Superscience Site and is managed by the University of Technology Sydney.
For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/alice-mulga-supersite/
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 .
Notes
CreditWe 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 TERN Alice Springs Mulga site is managed by the University of Technology Sydney, and is funded by TERN.
The purpose of the Alice Springs Mulga flux station is to :
measure the exchanges of carbon dioxide, water vapour and energy between a semi-arid mulga (Acacia aneura) ecosystem and the atmosphere using micrometeorological techniques
study ecosystem, hydrologic and ecophysiologic responses to rainfall variability
evaluate the evapotranspiratory cost of assimilation
study the partitioning of ecosystem metabolism between the mulga canopy, a seasonal mixed understory (C3 and C4, grass and shrub) and soil components
utilise the measurements for paramterising a Soil-Vegetation-Atmosphere Transfer (SVAT) model to evaluate climate change scenarios in North-Central Australia
utilise the measurements for parameterising and validating remote sensing measurements over semi-arid mulga ecosystems
utilise the measurements for parmaterising and validating the Community Atmosphere-Biosphere Land Exchange (CABLE) model
Data Quality Assessment Scope
local :
dataset
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.<br>
For further information about the software (PyFluxPro) used to process and quality control the flux data, see https://github.com/OzFlux/PyFluxPro/wiki.
Created: 2022-01-21
Issued: 2022-01-21
Modified: 2024-05-03
Data time period: 2010-09-03 to 2021-08-03
text: Pine Hill cattle station, near Alice Springs in the Northern Territory.
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- URI : geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/0db9a22f-0c65-4349-876c-63fc5b38d358
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