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Alice Springs Mulga Flux Data Release 2023_v2 

Ver: 2023_v2
Status of Data: completed
Update Frequency: biannually
Security Classification: unclassified
Record Last Modified: 2025-01-28
Viewed 45 times
Accessed 3 times
Dataset Created: 2023-10-06
Dataset Published: 2024-01-02
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:
Cleverly, J., Eamus, D., Faux, R., Grant, N. & Li, Z. (2024). Alice Springs Mulga Flux Data Release 2023_v2. Version 2023_v2. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/2jwh-qq50 
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).

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 6.5 m tall on average. Elevation of the site is 606 m above sea level, and the terrain is flat. Mean annual precipitation at the nearby (45 km distant) Bureau of Meteorology station is 305.9 mm but ranges between 100 mm in 2009 to 750 mm in 2010. Predominant wind directions are from the southeast and east. The extent of the woodland is 11 km to the east of the flux station and 16 km to the south. The soil is red sandy clay (50:50 sand:clay) overlying a 49 m 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 13.7 m tall. Fluxes of heat, water vapour and carbon are measured using the open-path eddy covariance technique at 11.6 m. Supplementary measurements above the canopy include temperature and humidity (11.6 m), windspeed and wind direction (9.25 m), downwelling and upwelling shortwave and longwave radiation (12.2 m). Precipitation is monitored in a canopy gap (2.5 m). Supplementary measurements within and below the canopy include barometric pressure (1 m), wind speed (2 m, 4.25 m and 6.5 m), and temperature and humidity (2 m, 4.25 m and 6 m). Below ground soil measurements are made in bare soil, mulga, and understory habitats and include ground heat flux (0.08 m), soil temperature (0.02 m – 0.06 m) and soil moisture (0 – 0.1 m, 0.1 – 0.3 m, 0.6 – 0.8 m and 1.0 – 1.2 m). 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. 
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 TERN Alice Springs Mulga site is managed by the University of Technology Sydney, and is funded by TERN. 
Purpose
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.
 
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: 2903-2928
Procedure StepsData not provided.
Pine Hill cattle station, near Alice Springs in the Northern Territory.
Temporal Coverage
From 2010-09-03 to 2023-03-08 
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.

Alice Springs Mulga Flux Tower was established in 2010, 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
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
Kipp&Zonen CNR4
Kipp&Zonen CNR1
Parameters
wind speed
vertical wind
magnitude of surface downward stress
Monin-Obukhov length
net ecosystem productivity
gross primary productivity
surface friction velocity
ecosystem respiration
lateral component of wind speed
net ecosystem exchange
specific humidity saturation deficit in air
longitudinal component of wind speed
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
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
surface upward latent heat flux
mass concentration of water vapor in air
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
Platforms
Alice Springs Mulga Flux Station
Temporal Resolution
1 minute - < 1 hour
Topic
climatologyMeteorologyAtmosphere
User Defined
AU-ASM
Mulga woodlands
Author
Cleverly, Jamie
Co-Author
Eamus, Derek
Faux, Ralph
Grant, Nicole M
Li, Zheng
Contact Point
Cleverly, Jamie
Publisher
Terrestrial Ecosystem Research Network
Cleverly J., Boulain N., Villalobos-Vega R., Grant N., Faux R., Wood C., Cook P. G., Yu Q., Leigh A. and Eamus D. (2013). Dynamics of component carbon fluxes in a semi-arid Acacia woodland, central Australia. J. Geophys. Res.-Biogeosci., 118: 1168-1185
Eamus D., Cleverly J., Boulain N., Grant N., Faux R. and Villalobos-Vega R. (2013). Carbon and water fluxes in an arid-zone Acacia savanna woodland: An analyses of seasonal patterns and responses to rainfall events. Agric. For. Meteor., 182-183: 225-238
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.
 
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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}. 
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