Dry River 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).</br><br>
The site is classified as open forest savanna. The overstory is co-dominated by tree species <em>Eucalyptus tetrodonta</em>, <em>Eucalyptus dichromophloia</em>, <em>Corymbia terminalis</em>, <em>Sorghum intrans</em>, <em>Sorghum plumosum</em>, <em>Themeda triandra</em> and <em>Chrysopogon fallax</em>, with canopy height averaging 12.3 m. Elevation of the site is close to 175 m and mean annual precipitation from a nearby Bureau of Meteorology site measures 895.3 mm. Maximum temperatures range from 29.1 °C (in June) to 37.6 °C (in July), while minimum temperatures range from 14.6 °C (in July) to 24.8 °C (in November). Maximum temperatures vary seasonally by 8.5 °C and minimum by 10.2 °C. <br /><br /> The instrument mast is 15 m tall. Heat, water vapour and carbon dioxide measurements are taken using the open-path eddy flux technique. Temperature, humidity, wind speed, wind direction, rainfall, incoming and reflected shortwave radiation and net radiation are measured above the canopy. Soil heat fluxes are measured and soil moisture content is gathered using time domain reflectometry. <br /> Ancillary measurements taken at the site include LAI, leaf-scale physiological properties (gas exchange, leaf isotope ratios, nitrogen and chlorophyll concentrations), vegetation optical properties and soil physical properties. Airborne based remote sensing (Lidar and hyperspectral measurements) was carried out across the site in September 2008. <br /><br />
Simple
Identification info
- Date (Creation)
- 2009-10-25
- 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
- The purpose of the Dry River Flux Station is to: <br /> <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>determine if fluxes of carbon, water vapour and heat over the various ecosystems as derived from the various measurement techniques can be used to form a comprehensive and consistent estimate of the regional fluxes and budgets across the landscape.</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. The flux station is part of the Australia OzFlux Network and 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
- Topic category
-
- Climatology, meteorology, atmosphere
Extent
- Description
- Approximately 89 km south of Katherine, Northern Territory.
N
S
E
W
))
Temporal extent
- Time period
- 2009-10-25
- 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
-
- water vapor saturation deficit in air
- Kilopascal
- surface upward flux of available energy
- Watt per Square Meter
- vertical wind
- Meter per Second
- surface air pressure
- Kilopascal
- mole fraction of water vapor in air
- Millimoles per mole
- longitudinal component of wind speed
- Square metres per square second
- air temperature
- degree Celsius
- surface downwelling shortwave flux in air
- Watt per Square Meter
- gross primary productivity
- Micromoles per square metre second
- surface upward latent heat flux
- Watt per Square Meter
- lateral component of wind speed
- Meter per Second
- magnitude of surface downward stress
- Kilograms per metre per square second
- surface upwelling shortwave flux in air
- Watt per Square Meter
- wind from direction
- Degree
- net ecosystem exchange
- Micromoles per square metre second
- net ecosystem productivity
- Micromoles per square metre second
- ecosystem respiration
- Micromoles per square metre second
- relative humidity
- Percent
- wind speed
- Meter per Second
- specific humidity
- Kilogram per Kilogram
- surface net downward radiative flux
- Watt per Square Meter
- mass concentration of water vapor in air
- Gram per Cubic Meter
- Monin-Obukhov length
- Meter
- specific humidity saturation deficit in air
- Kilogram per Kilogram
- volume fraction of condensed water in soil
- Cubic Meter per Cubic Meter
- soil temperature
- degree Celsius
- surface friction velocity
- Meter per Second
- surface downwelling longwave flux in air
- Watt per Square Meter
- surface upward mole flux of carbon dioxide
- Micromoles per square metre second
- downward heat flux at ground level in soil
- Watt per Square Meter
- thickness of rainfall amount
- Millimetre
- mole fraction of carbon dioxide in air
- Micromoles per mole
- surface upwelling longwave flux in air
- Watt per Square Meter
- water vapor partial pressure in air
- Kilopascal
- water evapotranspiration flux
- Kilograms per square metre per second
- surface upward sensible heat flux
- Watt per Square Meter
- QUDT Units of Measure
-
- Kilopascal
- Watt per Square Meter
- Meter per Second
- Kilopascal
- Millimoles per mole
- Square metres per square second
- degree Celsius
- Watt per Square Meter
- Micromoles per square metre second
- Watt per Square Meter
- Meter per Second
- Kilograms per metre per square second
- Watt per Square Meter
- Degree
- Micromoles per square metre second
- Micromoles per square metre second
- Micromoles per square metre second
- Percent
- Meter per Second
- Kilogram per Kilogram
- Watt per Square Meter
- Gram per Cubic Meter
- Meter
- Kilogram per Kilogram
- Cubic Meter per Cubic Meter
- degree Celsius
- Meter per Second
- Watt per Square Meter
- Micromoles per square metre second
- Watt per Square Meter
- Millimetre
- Micromoles per mole
- Watt per Square Meter
- Kilopascal
- Kilograms per square metre per second
- Watt per Square Meter
- GCMD Horizontal Resolution Ranges
- GCMD Temporal Resolution Ranges
- Keywords (Discipline)
-
- Eddy Covariance
- open forest savanna
- AU-Dry
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/a24c9db0-52ed-455a-8d15-53ba097008e7
- Title
- TERN GeoNetwork UUID
- Language
- English
- Character encoding
- UTF8
Point of contact
- Title
- Dry River 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/a24c9db0-52ed-455a-8d15-53ba097008e7
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