Calperum Chowilla Flux Data Release 2023_v1
<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 (v3.5.0) 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> The Calperum Chowilla site was established in July 2010 and is managed by the University of Adelaide, coordinated by Prof Wayne Meyer and Prof David Chittleborough of the Landscape Futures Program as part of the Environment Institute. This is a former sheep grazing property that has been destocked and is being managed as a conservation area in this type of ecosystem. The landscape is flat with a series of low east–west sand dunes. The dunes are remnants of a previous dry era and are mostly now stabilized by mallee (multi-stemmed Eucalypt trees) and various shrubs. It is a semi-arid environment fringing the River Murray floodplains of the Riverland. <br>
Simple
Identification info
- Date (Creation)
- 2023-03-31
- Date (Publication)
- 2024-05-04
- Date (Revision)
- 2024-12-16
- Edition
- 2023_v1
Identifier
Publisher
Author
Co-author
Co-author
Co-author
- Website
- https://www.tern.org.au/
- Purpose
- The purpose of the Calperum Chowilla flux station is to:<ul style="list-style-type: disc;"> <li>measure the energy, CO<sub>2</sub> and H<sub>2</sub>O balance of mallee shrub land for short term (days) and long term (years)</li> <li>link vegetation and ecosystem response to soil, atmosphere and local management conditions to explain daily and seasonal variation in exchange processes</li> <li>use the site data to broaden environmental monitoring data for Ozflux and climate interpretation at the continental scale</li> <li>use the measured data to develop and test predictive models of vegetation and related ecosystems that can be used to improve restorative actions in conservation of this type of ecosystem.</li></ul>
- 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
- <br>Calperum Mallee site is managed by the University of Adelaide (UA) and is funded by TERN. Calperum is a reserve managed by the Australian Landscape Trust, for the Australian Government.</br>
- Status
- On going
Point of contact
- Topic category
-
- Climatology, meteorology, atmosphere
Extent
- Description
- The flux station is located north of Renmark in the South Australian Riverland.
Temporal extent
- Time period
- 2010-07-30
- 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
- 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 exchange
- Micromoles per square metre second
- mole fraction of carbon dioxide in air
- Micromoles per mole
- air temperature
- degree Celsius
- specific humidity
- Kilogram per Kilogram
- Monin-Obukhov length
- Meter
- net ecosystem productivity
- Micromoles per square metre second
- mass concentration of water vapor in air
- Gram per Cubic Meter
- wind speed
- Meter per Second
- soil temperature
- degree Celsius
- mole fraction of water vapor in air
- Millimoles per mole
- water vapor saturation deficit in air
- Kilopascal
- thickness of rainfall amount
- Millimetre
- wind from direction
- Degree
- surface upwelling shortwave flux in air
- Watt per Square Meter
- 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 upward sensible heat flux
- Watt per Square Meter
- surface friction velocity
- Meter per Second
- surface upwelling longwave flux in air
- Watt per Square Meter
- relative humidity
- Percent
- specific humidity saturation deficit in air
- Kilogram per Kilogram
- water vapor partial pressure in air
- Kilopascal
- water evapotranspiration flux
- Kilograms per square metre per second
- surface downwelling longwave flux in air
- Watt per Square Meter
- longitudinal component of wind speed
- Square metres per square second
- surface air pressure
- Kilopascal
- surface net downward radiative flux
- Watt per Square Meter
- magnitude of surface downward stress
- Kilograms per metre per square second
- ecosystem respiration
- Micromoles per square metre second
- surface downwelling shortwave flux in air
- Watt per Square Meter
- lateral component of wind speed
- Meter per Second
- surface upward latent heat flux
- Watt per Square Meter
- vertical wind
- Meter per Second
- gross primary productivity
- Micromoles per square metre second
- surface upward flux of available energy
- Watt per Square Meter
- surface upward mole flux of carbon dioxide
- Micromoles per square metre second
- QUDT Units of Measure
-
- Micromoles per square metre second
- Micromoles per mole
- degree Celsius
- Kilogram per Kilogram
- Meter
- Micromoles per square metre second
- Gram per Cubic Meter
- Meter per Second
- degree Celsius
- Millimoles per mole
- Kilopascal
- Millimetre
- Degree
- Watt per Square Meter
- Cubic Meter per Cubic Meter
- Watt per Square Meter
- Watt per Square Meter
- Meter per Second
- Watt per Square Meter
- Percent
- Kilogram per Kilogram
- Kilopascal
- Kilograms per square metre per second
- Watt per Square Meter
- Square metres per square second
- Kilopascal
- Watt per Square Meter
- Kilograms per metre per square second
- Micromoles per square metre second
- Watt per Square Meter
- Meter per Second
- Watt per Square Meter
- Meter per Second
- Micromoles per square metre second
- Watt per Square Meter
- Micromoles per square metre second
- GCMD Horizontal Resolution Ranges
- GCMD Temporal Resolution Ranges
- Keywords (Discipline)
-
- AU-Cpr
- mallee woodland
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
- <br>Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. </br>
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
- Distribution format
-
Distributor
Distributor
- OnLine resource
- NetCDF files (2023_v1)
- 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>
- 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/52135270-dc4d-44f2-b7fe-e2dd91e6cea2
- Title
- TERN GeoNetwork UUID
- Language
- English
- Character encoding
- UTF8
Point of contact
- Title
- Calperum Chowilla 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/52135270-dc4d-44f2-b7fe-e2dd91e6cea2
Point-of-truth metadata URL
- Date info (Creation)
- 2022-03-17T00:00:00
- Date info (Revision)
- 2024-12-16T00:00:00
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