Cow Bay Flux Data Release 2024_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 (v3.4.17) 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 Cow Bay flux station was established in December 2008 and managed by James Cook University. The forest is classified as complex mesophyll vine forest, there are 94 species in the core 1 Ha, and average tree height is 22 m. Elevation of the site is 90 m and mean annual precipitation is 3935 mm. The Daintree Rainforest is one of the most biodiverse forests in Australia. The instruments are mounted on a walk-up tourist tower at 35 m. Fluxes of heat, water vapour and carbon dioxide are measured using the open-path eddy flux technique. Supplementary measurements above the canopy include temperature, humidity, windspeed, wind direction, rainfall, incoming and reflected shortwave radiation and net radiation.The early years 2009 - 12 had several data gaps. Shadowing of the radiometric equipment continues to cause artifacts on the radiometers - these can be seen as reduction in downwelling radiation with solar inclination. The site is part of the FNQ Rainforest SuperSite - associated with the Daintree node, which is part of the TERN, Australia. <br/>
Simple
Identification info
- Date (Creation)
- 2024-09-09
- Date (Publication)
- 2024-10-04
- Date (Revision)
- 2024-10-04
- Edition
- 2024_v2
Identifier
Publisher
Author
James Cook University - Liddell, Michael (Associate Professor)
14-88 McGregor Road, Smithfield, Queensland, 4878, Australia
Smithfield
Queensland
4878
Australia
Co-author
James Cook University - Weigand, Nico (Research Worker)
14-88 McGregor Road, Smithfield, Queensland, 4878, Australia
Smithfield
Queensland
4878
Australia
- Website
- https://www.tern.org.au/
- Purpose
- The purpose of the Cow Bay flux station is to:<ul style="list-style-type: disc;"> <li>measure exchanges of carbon dioxide, water vapour and energy between the tropical lowland rainforest in Far North Queensland and the atmosphere using micrometeorological techniques </li> <li>quantify the changes in carbon and water balances of an Australian tropical rainforest on a long term basis in the face of climate change </li> <li>present the results from the study in real time to the public and inform the public on what these results mean.</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 Cow Bay flux station is managed by James Cook University in a collaboration with the Daintree Discovery Centre. The site was co-funded by the Daintree Discovery Centre and the Terrestrial Ecosystem Research Network (TERN). </br> Past support was from the Department of Environment and Heritage - Marine and Tropical Sciences Research Facility Project 5ii.2. Climate Change: Scaling from trees to ecosystems.
- Status
- Completed
Point of contact
James Cook University - Liddell, Michael (Associate Professor)
14-88 McGregor Road, Smithfield, Queensland, 4878, Australia
14-88 McGregor Road
Smithfield
Queensland
4878
Australia
- Topic category
-
- Climatology, meteorology, atmosphere
Extent
- Description
- The flux station is mounted at the 23 m level viewing platform on the visitor tower at the Daintree Discovery Centre at Cow Bay, 100 km from Cairns in Far North Queensland.
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Temporal extent
- Time period
- 2009-01-01 2024-07-27
- 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
-
- Hukseflux HFP01
- Hukseflux NR01
- Observator RIM-8000 series rain gauge
- Rotronic HC2(A)-S, HC2(A)-S3(H), HC2(A)-S-HH, HC2-S3CO3(-PT15), HC2(A)-SM and HC2-S and HC2A-S series
- Campbell Scientific CS616
- Vaisala HMP45C
- Campbell Scientific TCAV Averaging Soil Thermocouple Probe
- Campbell Scientific CSAT3
- Vaisala WXT520
- Environdata WeatherMaster 2000
- LI-COR LI-190 (SA, SZ, and SL versions)
- LI-COR LI-7500
- TERN Parameter Vocabulary
-
- wind speed
- Meter per Second
- enhanced vegetation index
- Unitless
- net ecosystem productivity
- Micromoles per square metre second
- surface net downward radiative flux
- Watt per Square Meter
- magnitude of surface downward stress
- Kilograms per metre per square second
- wind from direction
- Degree
- surface upward flux of available energy
- Watt per Square Meter
- surface upwelling longwave flux in air
- Watt per Square Meter
- volume fraction of condensed water in soil
- Cubic Meter per Cubic Meter
- water vapor partial pressure in air
- Kilopascal
- air temperature
- degree Celsius
- Monin-Obukhov length
- Meter
- soil temperature
- degree Celsius
- surface upward mole flux of carbon dioxide
- Micromoles per square metre second
- vertical wind
- Meter per Second
- surface upwelling shortwave flux in air
- Watt per Square Meter
- specific humidity saturation deficit in air
- Kilogram per Kilogram
- mole fraction of carbon dioxide in air
- Micromoles per mole
- specific humidity
- Kilogram per Kilogram
- downward heat flux at ground level in soil
- Watt per Square Meter
- surface downwelling longwave flux in air
- Watt per Square Meter
- net ecosystem exchange
- Micromoles per square metre second
- longitudinal component of wind speed
- Meter per Second
- water vapor saturation deficit in air
- Kilopascal
- surface friction velocity
- Meter per Second
- relative humidity
- Percent
- surface upward sensible heat flux
- Watt per Square Meter
- water evapotranspiration flux
- Kilograms per square metre per second
- surface upward latent heat flux
- Watt per Square Meter
- lateral component of wind speed
- Meter per Second
- gross primary productivity
- Micromoles per square metre second
- mole fraction of water vapor in air
- Millimoles per mole
- surface downwelling photosynthetic photon flux in air
- Millimoles per square metre second
- ecosystem respiration
- Micromoles per square metre second
- surface downwelling shortwave flux in air
- Watt per Square Meter
- mass concentration of water vapor in air
- Gram per Cubic Meter
- surface air pressure
- Kilopascal
- thickness of rainfall amount
- Millimetre
- QUDT Units of Measure
-
- Meter per Second
- Unitless
- Micromoles per square metre second
- Watt per Square Meter
- Kilograms per metre per square second
- Degree
- Watt per Square Meter
- Watt per Square Meter
- Cubic Meter per Cubic Meter
- Kilopascal
- degree Celsius
- Meter
- degree Celsius
- Micromoles per square metre second
- Meter per Second
- Watt per Square Meter
- Kilogram per Kilogram
- Micromoles per mole
- Kilogram per Kilogram
- Watt per Square Meter
- Watt per Square Meter
- Micromoles per square metre second
- Meter per Second
- Kilopascal
- Meter per Second
- Percent
- Watt per Square Meter
- Kilograms per square metre per second
- Watt per Square Meter
- Meter per Second
- Micromoles per square metre second
- Millimoles per mole
- Millimoles per square metre second
- Micromoles per square metre second
- Watt per Square Meter
- Gram per Cubic Meter
- Kilopascal
- Millimetre
- GCMD Horizontal Resolution Ranges
- GCMD Temporal Resolution Ranges
- Keywords (Discipline)
-
- mesophyll vine forest
- Au-Cow
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
- 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 productivity, 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 (2024_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>Cow Bay Flux Tower was established in 2008, and is currently active. 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/89211d6f-1732-49c9-b082-94cc9013c4b7
- Title
- TERN GeoNetwork UUID
- Language
- English
- Character encoding
- UTF8
Point of contact
- Title
- Cow Bay 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/89211d6f-1732-49c9-b082-94cc9013c4b7
Point-of-truth metadata URL
- Date info (Creation)
- 2022-03-17T00:00:00
- Date info (Revision)
- 2024-10-04T00:00:00
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
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W
Provided by
Associated resources
Not available