Gatum Pasture 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>
The Gatum Pasture flux station, established in February 2015, was located on private farmland in southwestern Victoria, approximately 300 km west of Melbourne. The pasture is composed of winter-active perennial grasses (<em>Phalaris aquatica</em> L. and <em>Trifolium subteraneum</em> L.) and is used for sheep and, sporadically, cattle grazing.</br>
Simple
Identification info
- Date (Creation)
- 2023-10-06
- Date (Publication)
- 2023-12-21
- Date (Revision)
- 2024-12-16
- Edition
- 2023_v2
Identifier
Publisher
Author
Author
Author
- Website
- https://www.tern.org.au/
- Purpose
- The main aim of the Gatum Flux station was to quantify the fluxes in a winter-active perennial pasture that is minimally managed. The complete dataset can be used to relate the inter- and intra-annual variability of environmental variables with fluxes variability.
- 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>The research was supported by the Australian Research Council (grants no. LP140100871 and DP180101229). Rob Lawrance and Georgie Luckock are thankfully acknowledged for providing access to their farm.</br>
- Status
- Completed
Point of contact
- Topic category
-
- Climatology, meteorology, atmosphere
Extent
- Description
- The Gatum Pasture flux station is located on private farmland in southwestern Victoria, approximately 300 km west of Melbourne.
Temporal extent
- Time period
- 2015-02-09 2021-12-31
- 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
- Peixoto Neto A. M. L., Cartwright I., Silva M. R. F., McHugh I., Dresel P. E., Teodosio B., Jovanovic D., McCaskill M. R., Webb J., and Daly E. (2022). Linking evapotranspiration seasonal cycles to the water balance of headwater catchments with contrasting land uses. Hydrological Processes, 36(12): e14784.
- 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
- LONGWAVE RADIATION
- SHORTWAVE RADIATION
- INCOMING SOLAR RADIATION
- HEAT FLUX
- AIR TEMPERATURE
- HUMIDITY
- SOIL MOISTURE/WATER CONTENT
- SOIL TEMPERATURE
- ANZSRC Fields of Research
- TERN Platform Vocabulary
- TERN Instrument Vocabulary
- TERN Parameter Vocabulary
-
- surface upward mole flux of carbon dioxide
- Micromoles per square metre second
- surface upward sensible heat flux
- Watt per Square Meter
- soil temperature
- degree Celsius
- wind speed
- Meter per Second
- gross primary productivity
- Micromoles per square metre second
- specific humidity
- Kilogram per Kilogram
- water vapor partial pressure in air
- Kilopascal
- wind from direction
- Degree
- Monin-Obukhov length
- Meter
- surface friction velocity
- Meter per Second
- ecosystem respiration
- Micromoles per square metre second
- mole fraction of water vapor in air
- Millimoles per mole
- downward heat flux at ground level in soil
- Watt per Square Meter
- surface upward flux of available energy
- Watt per Square Meter
- volume fraction of condensed water in soil
- Cubic Meter per Cubic Meter
- water evapotranspiration flux
- Unitless
- mass concentration of water vapor in air
- Gram per Cubic Meter
- surface upward latent heat flux
- Watt per Square Meter
- water vapor saturation deficit in air
- Kilopascal
- net ecosystem productivity
- Micromoles per square metre second
- surface upwelling longwave flux in air
- Watt per Square Meter
- surface downwelling shortwave flux in air
- Watt per Square Meter
- surface upwelling shortwave flux in air
- Watt per Square Meter
- surface net downward radiative flux
- Watt per Square Meter
- thickness of rainfall amount
- Millimetre
- mole fraction of carbon dioxide in air
- Micromoles per mole
- air temperature
- degree Celsius
- vertical wind
- Meter per Second
- surface downwelling longwave flux in air
- Watt per Square Meter
- net ecosystem exchange
- Micromoles per square metre second
- magnitude of surface downward stress
- Kilograms per metre per square second
- longitudinal component of wind speed
- Meter per Second
- relative humidity
- Percent
- surface air pressure
- Kilopascal
- lateral component of wind speed
- Meter per Second
- specific humidity saturation deficit in air
- Kilogram per Kilogram
- QUDT Units of Measure
-
- Micromoles per square metre second
- Watt per Square Meter
- degree Celsius
- Meter per Second
- Micromoles per square metre second
- Kilogram per Kilogram
- Kilopascal
- Degree
- Meter
- Meter per Second
- Micromoles per square metre second
- Millimoles per mole
- Watt per Square Meter
- Watt per Square Meter
- Cubic Meter per Cubic Meter
- Unitless
- Gram per Cubic Meter
- Watt per Square Meter
- Kilopascal
- Micromoles per square metre second
- Watt per Square Meter
- Watt per Square Meter
- Watt per Square Meter
- Watt per Square Meter
- Millimetre
- Micromoles per mole
- degree Celsius
- Meter per Second
- Watt per Square Meter
- Micromoles per square metre second
- Kilograms per metre per square second
- Meter per Second
- Percent
- Kilopascal
- Meter per Second
- Kilogram per Kilogram
- GCMD Horizontal Resolution Ranges
- GCMD Temporal Resolution Ranges
- Keywords (Discipline)
-
- Pasture
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 product, 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_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>Gatum Pasture Flux Tower was established in February 2015, and was decommissioned in February 2022. 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/18cf8d9b-3e10-47f0-b77e-0cf32db76dc4
- Title
- TERN GeoNetwork UUID
- Language
- English
- Character encoding
- UTF8
Point of contact
- Title
- Gatum Pasture 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/18cf8d9b-3e10-47f0-b77e-0cf32db76dc4
Point-of-truth metadata URL
- Date info (Creation)
- 2021-08-06T00:00:00
- 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