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 (v3.4.18) 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).
The Aqueduct Snow Gum Flux station is part of the Australian Mountain Research Facility (AMRF), located at an elevation of 1616 meters asl, Kosciuszko National Park, NSW. The site is characterised by Alpine vegetation. Long term climate of the site recorded by the Bureau of Meteorology, Perisher Valley AWS (station no. 071075) shows an annual mean of 11.1° C, with annual mean maximum of 12.2° C and annual mean minimum of 9.7° C
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. The site is managed by the University of Western Australia. The flux station is part of the Australian OzFlux Network and contributes to the international FLUXNET Network.
Purpose
The primary purpose is to investigate the exchange of CO2 and water vapor between the atmosphere and land surface (vegetation, soil, vadose zone and groundwater), in an Alpine region of NSW. The water, energy and carbon dioxide fluxes form essential boundary conditions for environmental models and must be measured. The purpose of the Aqueduct SnowGum flux station is to :
measure the exchanges of carbon dioxide, water vapour and energy between a healthy snowgum (Eucalyptus pauciflora) ecosystem and the atmosphere using micrometeorological techniques.
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 .