Daly 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 site was identified as tropical pasture dominated by species <em>Chamaecrista rotundifolia</em> (round-leaf cassia cv. Wynn), <em>Digitaria milijiana</em> (Jarra grass) and <em>Aristida sp.</em> standing at approximately 0.3 m tall. The soil at the site was a mixture of red kandosol and deep sand. Elevation of the site was close to 70 m and mean annual precipitation at a nearby Bureau of Meteorology site was 1250 mm. Maximum temperatures ranged from 37.5°C (in October) to 31.2°C (in June), while minimum temperatures ranged from 12.6°C (in July) to 23.8°C (in January). Maximum temperatures varied on a seasonal basis between 6.3°C while minimum temperatures varied by 11.2°C. <br /> <br /> The instrument mast was 15 meters tall. Heat, water vapour and carbon dioxide measurements were taken using the open-path eddy flux technique. Temperature, humidity, wind speed, wind direction, rainfall, incoming and reflected shortwave radiation and net radiation were measured. <br />Ancillary measurements taken at the site included LAI, leaf-scale physiological properties (gas exchange, leaf isotope ratios, N and chlorophyll concentrations), vegetation optical properties and soil physical properties. Airborne based remote sensing (Lidar and hyperspectral measurements) was carried out across the transect in September 2008. <br /> The site was destroyed by fire in September 2013.</br>
Simple
Identification info
- Date (Creation)
- 2023-10-06
- Date (Publication)
- 2022-03-27
- Date (Revision)
- 2024-12-16
- Edition
- 2023_v2
Identifier
Publisher
Author
Author
Co-author
- Website
- https://www.tern.org.au/
- Purpose
- The purpose of the Daly River Pasture Flux station was to::<ul style="list-style-type: disc;"> <li>Provide information as part of a larger network of flux stations established along the North Australian Tropical Transect (NATT) gradient, which extends ~1000 km south from Darwin 12.5°S.</li> <li>Examine spatial patterns and processes of land-surface-atmosphere exchanges (radiation, heat, moisture, CO<sub>2</sub> and other trace gasses) across scales from leaf to landscape scales within Australian savannas.</li> <li>Determine the climate and ecosystem characteristics (physical structure, species composition, physiological function) that drive spatial and temporal variations of carbon, water and energy fluxes from north Australian savanna.</li> <li>Quantify fluxes over land use which includes grazing, introduced pastures and low stock density.</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 site was managed by Monash University and Charles Darwin University. The flux station was part of the Australia OzFlux Network and contributed to the international FLUXNET Network.
- Status
- Completed
Point of contact
Point of contact
Point of contact
- Topic category
-
- Climatology, meteorology, atmosphere
Extent
- Description
- Approximately 62 km South West of Pine Creek, Northern Territory.
Temporal extent
- Time period
- 2008-01-01 2013-09-08
- Title
- Beringer, Jason et al., 2016. An introduction to the Australian and New Zealand flux tower network – OzFlux. Biogeosciences, 13(21). doi:10.5194/bg-13-5895-2016
- Website
-
Beringer, Jason et al., 2016. An introduction to the Australian and New Zealand flux tower network – OzFlux. Biogeosciences, 13(21). doi:10.5194/bg-13-5895-2016
Related documentation
- Title
- Isaac, Peter et al., 2017. OzFlux data: network integration from collection to curation. Biogeosciences, 14(12). doi:10.5194/bg-14-2903-2017
- Website
-
Isaac, Peter et al., 2017. OzFlux data: network integration from collection to curation. Biogeosciences, 14(12). doi:10.5194/bg-14-2903-2017
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
-
- surface air pressure
- Kilopascal
- soil temperature
- degree Celsius
- specific humidity saturation deficit in air
- Kilogram per Kilogram
- surface friction velocity
- Meter per Second
- thickness of rainfall amount
- Millimetre
- mole fraction of carbon dioxide in air
- Micromoles per mole
- surface upward mole flux of carbon dioxide
- Micromoles per square metre second
- longitudinal component of wind speed
- Meter per Second
- mole fraction of water vapor in air
- Millimoles per mole
- lateral component of wind speed
- Meter per Second
- air temperature
- degree Celsius
- surface net downward radiative flux
- Watt per Square Meter
- water vapor saturation deficit in air
- Kilopascal
- wind from direction
- Degree
- wind speed
- Meter per Second
- surface downwelling longwave flux in air
- Watt per Square Meter
- volume fraction of condensed water in soil
- Cubic Meter per Cubic Meter
- surface upward latent heat flux
- Watt per Square Meter
- downward heat flux at ground level in soil
- Watt per Square Meter
- surface upwelling shortwave flux in air
- Watt per Square Meter
- water vapor partial pressure in air
- Kilopascal
- specific humidity
- Kilogram per Kilogram
- surface upward sensible heat flux
- Watt per Square Meter
- gross primary productivity
- Micromoles per square metre second
- mass concentration of water vapor in air
- Gram per Cubic Meter
- Monin-Obukhov length
- Meter
- net ecosystem exchange
- Micromoles per square metre second
- surface downwelling shortwave flux in air
- Watt per Square Meter
- surface upwelling longwave flux in air
- Watt per Square Meter
- vertical wind
- Meter per Second
- magnitude of surface downward stress
- Kilograms per metre per square second
- surface upward flux of available energy
- Watt per Square Meter
- ecosystem respiration
- Micromoles per square metre second
- relative humidity
- Percent
- net ecosystem productivity
- Micromoles per square metre second
- water evapotranspiration flux
- Unitless
- QUDT Units of Measure
-
- Kilopascal
- degree Celsius
- Kilogram per Kilogram
- Meter per Second
- Millimetre
- Micromoles per mole
- Micromoles per square metre second
- Meter per Second
- Millimoles per mole
- Meter per Second
- degree Celsius
- Watt per Square Meter
- Kilopascal
- Degree
- Meter per Second
- Watt per Square Meter
- Cubic Meter per Cubic Meter
- Watt per Square Meter
- Watt per Square Meter
- Watt per Square Meter
- Kilopascal
- Kilogram per Kilogram
- Watt per Square Meter
- Micromoles per square metre second
- Gram per Cubic Meter
- Meter
- Micromoles per square metre second
- Watt per Square Meter
- Watt per Square Meter
- Meter per Second
- Kilograms per metre per square second
- Watt per Square Meter
- Micromoles per square metre second
- Percent
- Micromoles per square metre second
- Unitless
- GCMD Horizontal Resolution Ranges
- GCMD Temporal Resolution Ranges
- Keywords (Discipline)
-
- Eddy Covariance
- AU-DaP
- tropical 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
- <br>Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.</br>
Resource constraints
- Classification
- Unclassified
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> Collie Flux Tower was established in August 2017, and stopped measuring in November 2019. 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
Reference System Information
- Reference system identifier
- EPSG/EPSG:4326
- Reference system type
- Geodetic Geographic 2D
Metadata
- Metadata identifier
-
urn:uuid/4734cc1a-bd3b-4601-818f-87d405d1bfde
- Title
- TERN GeoNetwork UUID
- Language
- English
- Character encoding
- UTF8
Point of contact
- Title
- Daly 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/4734cc1a-bd3b-4601-818f-87d405d1bfde
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