Fletcherview Tropical Rangeland 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>
Fletcherview Tropical Rangeland SuperSite was established in 2021 at James Cook University’s Fletcherview Research Station, a fully operational outback cattle station located 50 km west of Townsville, Queensland. The site is used for cattle grazing and is characterised by tall open savanna. The vegetation is dominated by native grasses such as blackspear and kangaroo grasses, as well as introduced species like buffel grass, signal grass and leucaena. Fletcherview typically experiences a dry and wet season, with most rainfall occurring between January and April.<br />
Simple
Identification info
- Date (Creation)
- 2023-03-31
- Date (Publication)
- 2023-05-04
- Date (Revision)
- 2024-05-12
- Edition
- 2023_v1
Identifier
Publisher
Author
James Cook University - Cleverly, Jamie ()
14-88 McGregor Road, Smithfield, 4878, Queensland, Australia
Smithfield
Queensland
4878
Australia
Co-author
University of Southern Queensland - Owens, Jo ()
487-535 West Street, Toowoomba, Queensland, 4350, Australia
Toowoomba
Queensland
4350
Australia
- Website
- https://www.tern.org.au/
- Purpose
- <p>The purpose of Fletcherview Tropical Rangeland flux station is to:</p> <ul style="list-style-type: disc;"> <li>measure the exchange of carbon dioxide, water vapour and energy between a tropical, semi-arid savanna ecosystem and the atmosphere using micrometeorological techniques</li> <li>support an understanding of forage dynamics on an active cattle station</li> <li>support critical zone science, specifically those related to soil processes, hydrology and evaporation</li> <li>support an understanding of environmental variability on ecosystem processes (such as photosynthesis, respiration or changes in plant structure and function)</li> <li>provide a contextual basis for understanding patterns of plant and animal biodiversity (e.g. abiotic factors)</li> <li>utilise the measurements for parameterising forage and grazing models</li> <li>utilise the measurements for parameterising and validating remote sensing measurements over semi-arid savanna ecosystems</li> <li>utilise the measurements for parameterising and validating the Earth System models to better understand the effects of climate change.</li></u> <br>
- 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><p>Fletcherview Tropical Rangeland SuperSite is managed by James Cook University. Infrastructure at the site was funded under the Queensland Government’s Research Infrastructure Co-Investment Fund (RICF) for co-investment to the Terrestrial Ecosystem Research Network (TERN), a project of the Commonwealth’s National Collaborative Research Infrastructure Strategy (NCRIS). This site is part of OzFlux Australia.</p>
- Status
- On going
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
- Fletcherview Tropical Rangeland SuperSite and flux station is located on JCU’s Fletcherview Cattle Station near Charters Towers in North Queensland.
N
S
E
W
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Temporal extent
- Time period
- 2022-01-22
- 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
-
- wind speed
- Meter per Second
- mass concentration of water vapor in air
- Gram per Cubic Meter
- surface upwelling shortwave flux in air
- Watt per Square Meter
- surface net downward radiative flux
- Watt per Square Meter
- magnitude of surface downward stress
- Kilograms per metre per square second
- surface friction velocity
- Meter per Second
- surface upwelling longwave flux in air
- Watt per Square Meter
- longitudinal component of wind speed
- Square metres per square second
- net ecosystem productivity
- Micromoles per square metre second
- specific humidity saturation deficit in air
- Kilogram per Kilogram
- surface upward mole flux of carbon dioxide
- Micromoles per square metre second
- volume fraction of condensed water in soil
- Cubic Meter per Cubic Meter
- specific humidity
- Kilogram per Kilogram
- downward heat flux at ground level in soil
- Watt per Square Meter
- vertical wind
- Meter per Second
- surface air pressure
- Kilopascal
- mole fraction of water vapor in air
- Millimoles per mole
- mole fraction of carbon dioxide in air
- Micromoles per mole
- air temperature
- degree Celsius
- ecosystem respiration
- Micromoles per square metre second
- surface upward flux of available energy
- Watt per Square Meter
- net ecosystem exchange
- Micromoles per square metre second
- thickness of rainfall amount
- Millimetre
- surface upward sensible heat flux
- Watt per Square Meter
- water vapor partial pressure in air
- Kilopascal
- lateral component of wind speed
- Meter per Second
- water evapotranspiration flux
- Kilograms per square metre per second
- soil electrical conductivity
- decisiemens per metre
- wind from direction
- Degree
- surface upward latent heat flux
- Watt per Square Meter
- surface downwelling longwave flux in air
- Watt per Square Meter
- water vapor saturation deficit in air
- Kilopascal
- relative humidity
- Percent
- gross primary productivity
- Micromoles per square metre second
- surface downwelling shortwave flux in air
- Watt per Square Meter
- soil temperature
- degree Celsius
- Monin-Obukhov length
- Meter
- QUDT Units of Measure
-
- Meter per Second
- Gram per Cubic Meter
- Watt per Square Meter
- Watt per Square Meter
- Kilograms per metre per square second
- Meter per Second
- Watt per Square Meter
- Square metres per square second
- Micromoles per square metre second
- Kilogram per Kilogram
- Micromoles per square metre second
- Cubic Meter per Cubic Meter
- Kilogram per Kilogram
- Watt per Square Meter
- Meter per Second
- Kilopascal
- Millimoles per mole
- Micromoles per mole
- degree Celsius
- Micromoles per square metre second
- Watt per Square Meter
- Micromoles per square metre second
- Millimetre
- Watt per Square Meter
- Kilopascal
- Meter per Second
- Kilograms per square metre per second
- decisiemens per metre
- Degree
- Watt per Square Meter
- Watt per Square Meter
- Kilopascal
- Percent
- Micromoles per square metre second
- Watt per Square Meter
- degree Celsius
- Meter
- GCMD Horizontal Resolution Ranges
- GCMD Temporal Resolution Ranges
- Keywords (Discipline)
-
- fletch
- tropical rangeland
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
Distributor
Distributor
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia
Indooroopilly
Queensland
4068
Australia
- Distribution format
-
- 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/e40b5199-3363-49dc-bbf2-9e014e96b469
- Title
- TERN GeoNetwork UUID
- Language
- English
- Character encoding
- UTF8
Point of contact
- Title
- Fletcherview Tropical Rangeland 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/e40b5199-3363-49dc-bbf2-9e014e96b469
Point-of-truth metadata URL
- Date info (Creation)
- 2021-08-06T00:00:00
- 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