Alice Springs Mulga Flux Data Release 2023_v2
<br>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).</br>
<br>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 <i>Acacia aneura</i> 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. <br />
Simple
Identification info
- Date (Creation)
- 2023-10-06
- Date (Publication)
- 2024-01-02
- Date (Revision)
- 2024-05-12
- Edition
- 2023_v2
Identifier
Publisher
Author
James Cook University - Cleverly, Jamie ()
14-88 McGregor Road, Smithfield, 4878, Queensland, Australia
Smithfield
Queensland
4878
Australia
Co-author
University of Technology Sydney - Eamus, Derek ()
15 Broadway, Ultimo, 2007, New South Wales, Australia
Ultimo
New South Wales
2007
Australia
Co-author
University of Technology Sydney - Faux, Ralph (Technical Officer)
15 Broadway, Ultimo, 2007, New South Wales, Australia
Ultimo
New South Wales
2007
Australia
Co-author
University of Technology Sydney - Grant, Nicole M (Site Technician)
15 Broadway, Ultimo, 2007, New South Wales, Australia
Ultimo
New South Wales
2007
Australia
Co-author
University of Technology Sydney - Li, Zheng ()
15 Broadway, Ultimo, 2007, New South Wales, Australia
Ultimo
New South Wales
2007
Australia
- Website
- https://www.tern.org.au/
- Purpose
- The purpose of the Alice Springs Mulga flux station is to: <ul style="list-style-type: disc;"> <li>measure the exchanges of carbon dioxide, water vapour and energy between a semi-arid mulga (<i>Acacia aneura</i>) ecosystem and the atmosphere using micrometeorological techniques</li> <li>study ecosystem, hydrologic and ecophysiologic responses to rainfall variability</li> <li>evaluate the evapotranspiratory cost of assimilation</li> <li>study the partitioning of ecosystem metabolism between the mulga canopy, a seasonal mixed understory (C<sub>3</sub> and C<sub>4</sub>, grass and shrub) and soil components</li> <li>utilise the measurements for paramterising a Soil-Vegetation-Atmosphere Transfer (SVAT) model to evaluate climate change scenarios in North-Central Australia</li> <li>utilise the measurements for parameterising and validating remote sensing measurements over semi-arid mulga ecosystems</li> <li>utilise the measurements for parmaterising and validating the Community Atmosphere-Biosphere Land Exchange (CABLE) model.</li>
- 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.
- Credit
- The TERN Alice Springs Mulga site is managed by the University of Technology Sydney, and is funded by TERN.
- Status
- Completed
Point of contact
James Cook University - Cleverly, Jamie ()
14-88 McGregor Road, Smithfield, 4878, Queensland, Australia
14-88 McGregor Road
Smithfield
Queensland
4878
Australia
- Topic category
-
- Climatology, meteorology, atmosphere
Extent
- Description
- Pine Hill cattle station, near Alice Springs in the Northern Territory.
N
S
E
W
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Temporal extent
- Time period
- 2010-09-03 2023-03-08
- Title
- 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
- Title
- 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
- Website
-
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
Related documentation
- Title
- 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
- Website
-
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
Related documentation
- Maintenance and update frequency
- Biannually
- GCMD Science Keywords
-
- BIOGEOCHEMICAL PROCESSES
- LAND PRODUCTIVITY
- EVAPOTRANSPIRATION
- TERRESTRIAL ECOSYSTEMS
- ATMOSPHERIC PRESSURE MEASUREMENTS
- TURBULENCE
- WIND SPEED
- WIND DIRECTION
- TRACE GASES/TRACE SPECIES
- ATMOSPHERIC CARBON DIOXIDE
- PHOTOSYNTHETICALLY ACTIVE RADIATION
- LONGWAVE RADIATION
- SHORTWAVE RADIATION
- INCOMING SOLAR RADIATION
- HEAT FLUX
- AIR TEMPERATURE
- PRECIPITATION AMOUNT
- HUMIDITY
- SOIL MOISTURE/WATER CONTENT
- SOIL TEMPERATURE
- ANZSRC Fields of Research
- TERN Platform Vocabulary
- TERN Instrument Vocabulary
- TERN Parameter Vocabulary
-
- net ecosystem productivity
- Micromoles per square metre second
- water vapor partial pressure in air
- Kilopascal
- vertical wind
- Meter per Second
- surface upward flux of available energy
- Watt per Square Meter
- longitudinal component of wind speed
- Meter per Second
- gross primary productivity
- Micromoles per square metre second
- surface downwelling shortwave flux in air
- Watt per Square Meter
- surface friction velocity
- Meter per Second
- water vapor saturation deficit in air
- Kilopascal
- mole fraction of carbon dioxide in air
- Micromoles per mole
- specific humidity
- Kilogram per Kilogram
- surface upward mole flux of carbon dioxide
- Micromoles per square metre second
- mole fraction of water vapor in air
- Millimoles per mole
- thickness of rainfall amount
- Millimetre
- lateral component of wind speed
- Meter per Second
- surface upward sensible heat flux
- Watt per Square Meter
- mass concentration of water vapor in air
- Gram per Cubic Meter
- surface downwelling longwave flux in air
- Watt per Square Meter
- wind from direction
- Degree
- air temperature
- degree Celsius
- ecosystem respiration
- Micromoles per square metre second
- volume fraction of condensed water in soil
- Cubic Meter per Cubic Meter
- downward heat flux at ground level in soil
- Watt per Square Meter
- surface net downward radiative flux
- Watt per Square Meter
- Monin-Obukhov length
- Meter
- soil temperature
- degree Celsius
- water evapotranspiration flux
- Unitless
- surface upwelling longwave flux in air
- Watt per Square Meter
- surface upwelling shortwave flux in air
- Watt per Square Meter
- wind speed
- Meter per Second
- specific humidity saturation deficit in air
- Kilogram per Kilogram
- net ecosystem exchange
- Micromoles per square metre second
- surface upward latent heat flux
- Watt per Square Meter
- surface air pressure
- Kilopascal
- relative humidity
- Percent
- magnitude of surface downward stress
- Kilograms per metre per square second
- QUDT Units of Measure
-
- Micromoles per square metre second
- Kilopascal
- Meter per Second
- Watt per Square Meter
- Meter per Second
- Micromoles per square metre second
- Watt per Square Meter
- Meter per Second
- Kilopascal
- Micromoles per mole
- Kilogram per Kilogram
- Micromoles per square metre second
- Millimoles per mole
- Millimetre
- Meter per Second
- Watt per Square Meter
- Gram per Cubic Meter
- Watt per Square Meter
- Degree
- degree Celsius
- Micromoles per square metre second
- Cubic Meter per Cubic Meter
- Watt per Square Meter
- Watt per Square Meter
- Meter
- degree Celsius
- Unitless
- Watt per Square Meter
- Watt per Square Meter
- Meter per Second
- Kilogram per Kilogram
- Micromoles per square metre second
- Watt per Square Meter
- Kilopascal
- Percent
- Kilograms per metre per square second
- GCMD Horizontal Resolution Ranges
- GCMD Temporal Resolution Ranges
- Keywords (Discipline)
-
- AU-ASM
- Mulga woodlands
Resource constraints
- Use limitation
- The Creative Commons Attribution 4.0 International (CC BY 4.0) license allows others to copy, distribute, display, and create derivative works provided that they credit the original source and any other nominated parties. Details are provided at https://creativecommons.org/licenses/by/4.0/
- File name
- 88x31.png
- File description
- CCBy Logo from creativecommons.org
- File type
- png
- Title
- Creative Commons Attribution 4.0 International Licence
- Alternate title
- CC-BY
- Edition
- 4.0
- Access constraints
- License
- Use constraints
- Other restrictions
- Other constraints
- 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. <br /><br />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.<br /><br />Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting
- Other constraints
- Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.
Resource constraints
- Classification
- Unclassified
- Environment description
- <br>File naming convention</br> <br>The NetCDF files follow the naming convention below:</br> <br>SiteName_ProcessingLevel_FromDate_ToDate_Type.nc<ul style="list-style-type: disc;"> <li>SiteName: short name of the site</li> <li>ProcessingLevel: file processing level (L3, L4, L5, L6) </li> <li>FromDate: temporal interval (start), YYYYMMDD</li> <li>ToDate: temporal interval (end), YYYYMMDD</li> <li>Type (Level 6 only): Summary, Monthly, Daily, Cumulative, Annual</li></ul> For the NetCDF files at Level 6 (L6), there are several additional 'aggregated' files. For example: <ul style="list-style-type: disc;"> <li>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.</li> <li>Monthly: This file shows L6 monthly averages of the respective variables, e.g. AH, Fc, NEE, <em>etc.</em></li> <li>Daily: same as Monthly but with daily averages.</li> <li>Cumulative: File showing cumulative values for ecosystem respiration, evapo-transpiration, gross primary productivity, net ecosystem exchange and production as well as precipitation.</li> <li>Annual: same as Monthly but with annual averages.</li></ul>
Distribution Information
Distributor
Distributor
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia
Indooroopilly
Queensland
4068
Australia
- Distribution format
-
- OnLine resource
- NetCDF files (2023_v2)
- OnLine resource
- ro-crate-metadata.json
Data quality info
- Hierarchy level
- Dataset
- Other
- <br>Processing levels</br> <br>Under each of the data release directories, the netcdf files are organised by processing levels (L3, L4, L5 and L6):<ul style="list-style-type: disc;"> <li>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.</li> <li>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).</li> <li>L5 (Level 5) processing fills gaps in the flux data employing the artificial neural network SOLO (self-organising linear output map).</li> <li>L6 (Level 6) processing partitions the gap-filled NEE into GPP and ER.</li></ul> Each processing level has two sub-folders ‘default’ and ‘site_pi’:<ul style="list-style-type: disc;"> <li>default: contains files processed using PyFluxPro</li> <li>site_pi: contains files processed by the principal investigators of the site.</li></ul> 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: <ul style="list-style-type: disc;"> <li>range checks for plausible limits</li> <li>spike detection</li> <li>dependency on other variables</li> <li>manual rejection of date ranges</li></ul> 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 CO<sub>2</sub> and H<sub>2</sub>O signal strength, depending upon the configuration of the IRGA.</br> <br>Alice Springs Mulga Flux Tower was established in 2010, and is currently active. The processed data release is currently ongoing, biannually.</br> <br></br>
- Title
- 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
- Abstract
- 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
Resource lineage
- Statement
- 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).
- Hierarchy level
- Dataset
- Title
- 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
- Website
-
https://doi.org/10.5194/bg-14-2903-2017
Method documentation
- Title
- PyFluxPro
- Website
-
https://github.com/OzFlux/PyFluxPro/wiki
Method documentation
Reference System Information
- Reference system identifier
- EPSG/EPSG:4326
- Reference system type
- Geodetic Geographic 2D
Metadata
- Metadata identifier
-
urn:uuid/c47bce69-75e3-45e0-a61f-0038df68f33b
- Title
- TERN GeoNetwork UUID
- Language
- English
- Character encoding
- UTF8
Point of contact
- Title
- Alice Springs Mulga Flux Data Collection
Identifier
- Codespace
- https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/
- Description
- Parent Metadata Record
Type of resource
- Resource scope
- Dataset
- Metadata linkage
-
https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/c47bce69-75e3-45e0-a61f-0038df68f33b
Point-of-truth metadata URL
- Date info (Creation)
- 2022-03-17T00:00:00
- Date info (Revision)
- 2024-05-12T00:00:00
Metadata standard
- Title
- ISO 19115-1:2014/AMD 1:2018 Geographic information - Metadata - Fundamentals
- Edition
- 1
Metadata standard
- Title
- ISO/TS 19115-3:2016
- Edition
- 1.0
Metadata standard
- Title
- ISO/TS 19157-2:2016
- Edition
- 1.0
- Title
- Terrestrial Ecosystem Research Network (TERN) Metadata Profile of ISO 19115-3:2016 and ISO 19157-2:2016
- Date (published)
- 2021
- Edition
- 1.0
Identifier
Overviews
Spatial extent
N
S
E
W
Provided by
Associated resources
Not available