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145.42715,-16.238189

145.42715,-16.238189

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TERN/0fc73d53-ecae-4427-bf9b-7746f000ce73 23462
METADATA

Cow Bay Flux Data Release 2022_v1

Description

This data release consists of flux tower measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer in semi-arid eucalypt woodland using eddy covariance techniques. It been processed using PyFluxPro (v3.3.3) as described in Isaac et al. (2017), https://doi.org/10.5194/bg-14-2903-2017. PyFluxPro takes data recorded at the flux tower and process this data to a final, gap-filled product with Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER). For more information about the processing levels, see https://github.com/OzFlux/PyFluxPro/wiki.

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 1Ha, and average tree height is 22m. Elevation of the site is 90m and mean annual precipitation is 3935mm. The Daintree Rainforest is one of the most biodiverse forests in Australia.The instruments are mounted on a walk-up tourist tower at 35m. 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 Australian SuperSite Network (ASN).
For additional site information, see https://supersites.tern.org.au/supersites/fnqr-daintree .

Credit
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).
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.

Purpose
The purpose of the Cow Bay flux station is to :
measure exchanges of carbon dioxide, water vapour and energy between the tropical lowland rainforest in Far North Queensland and the atmosphere using micrometeorological techniques
quantify the changes in carbon and water balances of an Australian tropical rainforest on a long term basis in the face of climate change
present the results from the study in real time to the public and inform the public on what these results mean

Lineage

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) in the Publications section, https://doi.org/10.5194/bg-14-2903-2017 .

Temporal coverage

From 2009-01-01 To 2021-12-31

Dates

  • Date modified

    14/06/2022

Citation information

How to cite this collection:

Liddell, M., Weigand, N. (2022): Cow Bay Flux Data Release 2022_v1. Terrestrial Ecosystem Research Network. (Dataset). https://doi.org/10.25901/6zen-a723

Access data

This data can be accessed from the following websites

Access metadata

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Rights and Licensing

Creative Commons Attribution 4.0 International Licence

http://creativecommons.org/licenses/by/4.0

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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.

Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting

Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.

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