Litchfield Flux Data Release 2022_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 (v3.4.7) 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).
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Located in a 5 km<sup>2</sup> block of relatively uniform open-forest savanna, the site is representative of high rainfall, frequently burnt tropical savanna.
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Tropical savanna in Australia occupies 1.9 million km<sup>2</sup> across the north and given the extent of this biome, understanding biogeochemical cycles, impacts of fire on sequestration, vegetation and fauna is a national priority. In the NT, savanna ecosystems are largely intact in terms of tree cover, with only modest levels of land use change. Despite this, there is evidence of a loss of biodiversity, most likely due to shifts in fire regimes and a loss of patchiness in the landscape. Approximately 40 % of the savanna burn every year and understanding fire impacts on fauna and flora is essential for effective land management.
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Simple
Identification info
- Date (Creation)
- 2015-06-23
- Date (Publication)
- 2024-05-04
- Date (Revision)
- 2024-05-04
- Edition
- 2022_v2
Identifier
Publisher
Author
University of Western Australia - Beringer, Jason (Professor)
35 Stirling Highway, Crawley, Western Australia, 6009, Australia
Crawley
Western Australia
6009
Australia
Author
Charles Darwin University - Hutley, Lindsay (Professor - Environmental Science)
Ellengowan Drive, Casuarina, Northern Territory, 0810, Australia
Casuarina
Northern Territory
0810
Australia
Co-author
Charles Darwin University - Northwood, Matthew (Research Officer Land-Atmosphere Program)
Ellengowan Drive, Casuarina, Northern Territory, 0810, Australia
Casuarina
Northern Territory
0810
Australia
- Website
- https://www.tern.org.au/
- Purpose
- <p>Litchfield flux station will provide:</p> <ul style="list-style-type: disc;"> <li>nationally consistent observations of vegetation dynamics, faunal biodiversity, micrometeorology (climate, radiation, fluxes of carbon and water), hydrology and biogeochemistry to examine the impacts of fire regime, climate on carbon stocks and GHG emissions, and impacts on habitat quality via ongoing monitoring of vegetation structure and fauna</li> <li>a wide range of ground based observations of vegetation structure and floristics is planned and all will link to remote sensing of fire and vegetation change over time.</li> <li>co-location of Flux observations and remote sensing systems will be co-located to provide TERN with a ground-/air-/space based remote sensing observation stream which will enable the development of tools describing fire occurrence, severity and associated greenhouse gas emissions, evapotranspiration and carbon sequestration.</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>The site is managed by The University of Western Australia and Charles Darwin University. Stakeholders of the site include: Charles Darwin University, Maitec (Stefan Maier), CSIRO (Shaun Levick), Darwin Centre for Bushfire Research, Northern Territory Department of Natural Resources, Environment, The Arts and Sport (NRETAS) and the University of Western Australia. Flux data collection is funded by TERN. The flux station is part of the Australian OzFlux Network and contributes to the international FLUXNET Network.
- Status
- On going
Point of contact
University of Western Australia - Beringer, Jason (Professor)
35 Stirling Highway, Crawley, Western Australia, 6009, Australia
35 Stirling Highway
Crawley
Western Australia
6009
Australia
Point of contact
Charles Darwin University - Hutley, Lindsay (Professor - Environmental Science)
Ellengowan Drive, Casuarina, Northern Territory, 0810, Australia
Ellengowan Drive
Casuarina
Northern Territory
0810
Australia
Point of contact
Charles Darwin University - Northwood, Matthew (Research Officer Land-Atmosphere Program)
Ellengowan Drive, Casuarina, Northern Territory, 0810, Australia
Ellengowan Drive
Casuarina
Northern Territory
0810
Australia
- Topic category
-
- Climatology, meteorology, atmosphere
Extent
- Description
- In Litchfield National Park, Northern Territory.
N
S
E
W
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Temporal extent
- Time period
- 2015-06-23
- 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
-
- volume fraction of condensed water in soil
- Cubic Meter per Cubic Meter
- longitudinal component of wind speed
- Square metres per square second
- relative humidity
- Percent
- surface downwelling shortwave flux in air
- Watt per Square Meter
- air temperature
- degree Celsius
- surface net downward radiative flux
- Watt per Square Meter
- water vapor partial pressure in air
- Kilopascal
- net ecosystem exchange
- Micromoles per square metre second
- thickness of rainfall amount
- Millimetre
- magnitude of surface downward stress
- Kilograms per metre per square second
- surface upward sensible heat flux
- Watt per Square Meter
- gross primary productivity
- Micromoles per square metre second
- surface downwelling longwave flux in air
- Watt per Square Meter
- ecosystem respiration
- Micromoles per square metre second
- mole fraction of carbon dioxide in air
- Micromoles per mole
- specific humidity saturation deficit in air
- Kilogram per Kilogram
- Monin-Obukhov length
- Meter
- mass concentration of water vapor in air
- Gram per Cubic Meter
- surface air pressure
- Kilopascal
- surface upwelling shortwave flux in air
- Watt per Square Meter
- wind speed
- Meter per Second
- surface upward latent heat flux
- Watt per Square Meter
- wind from direction
- Degree
- specific humidity
- Kilogram per Kilogram
- downward heat flux at ground level in soil
- Watt per Square Meter
- surface upwelling longwave flux in air
- Watt per Square Meter
- soil temperature
- degree Celsius
- lateral component of wind speed
- Meter per Second
- net ecosystem productivity
- Micromoles per square metre second
- surface upward mole flux of carbon dioxide
- Micromoles per square metre second
- water vapor saturation deficit in air
- Kilopascal
- surface upward flux of available energy
- Watt per Square Meter
- mole fraction of water vapor in air
- Millimoles per mole
- water evapotranspiration flux
- Kilograms per square metre per second
- surface friction velocity
- Meter per Second
- vertical wind
- Meter per Second
- QUDT Units of Measure
-
- Cubic Meter per Cubic Meter
- Square metres per square second
- Percent
- Watt per Square Meter
- degree Celsius
- Watt per Square Meter
- Kilopascal
- Micromoles per square metre second
- Millimetre
- Kilograms per metre per square second
- Watt per Square Meter
- Micromoles per square metre second
- Watt per Square Meter
- Micromoles per square metre second
- Micromoles per mole
- Kilogram per Kilogram
- Meter
- Gram per Cubic Meter
- Kilopascal
- Watt per Square Meter
- Meter per Second
- Watt per Square Meter
- Degree
- Kilogram per Kilogram
- Watt per Square Meter
- Watt per Square Meter
- degree Celsius
- Meter per Second
- Micromoles per square metre second
- Micromoles per square metre second
- Kilopascal
- Watt per Square Meter
- Millimoles per mole
- Kilograms per square metre per second
- Meter per Second
- Meter per Second
- GCMD Horizontal Resolution Ranges
- GCMD Temporal Resolution Ranges
- Keywords (Discipline)
-
- Eddy Covariance
- open-forest savanna
- AU-Lit
- tropical savanna
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 (2022_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>
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/1fc7d653-446e-4742-b5e2-6053d8b52bde
- Title
- TERN GeoNetwork UUID
- Language
- English
- Character encoding
- UTF8
Point of contact
- Title
- Litchfield 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/1fc7d653-446e-4742-b5e2-6053d8b52bde
Point-of-truth metadata URL
- Date info (Creation)
- 2022-03-17T00:00:00
- Date info (Revision)
- 2024-05-04T00:00:00
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