Brief description
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 (v3.4.15) 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 Alpine Peatland flux station was established in 2017 at Heathy Spur I, an alpine sphagnum bog on the Bogong High Plains recognised by Parks Victoria as a reference ecosystem for this endangered ecological community. The vegetation is dominated by the peat-forming moss Sphagnum cristatum, as well as typical peatland species including candle heath (Richea continentis), alpine baeckea (Baeckea gunniana) and rope rush (Empodisma minus). The Alpine Peatland tower typically experiences a mild growing season from October to June and 2-3 months of snow cover from July to September.
Notes
Data ProcessingFile naming convention
The NetCDF files follow the naming convention below:
SiteName_ProcessingLevel_FromDate_ToDate_Type.nc
- SiteName: short name of the site
- ProcessingLevel: file processing level (L3, L4, L5, L6)
- FromDate: temporal interval (start), YYYYMMDD
- ToDate: temporal interval (end), YYYYMMDD
- Type (Level 6 only): Summary, Monthly, Daily, Cumulative, Annual
- 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.
- Monthly: This file shows L6 monthly averages of the respective variables, e.g. AH, Fc, NEE, etc.
- Daily: same as Monthly but with daily averages.
- Cumulative: File showing cumulative values for ecosystem respiration, evapo-transpiration, gross primary product, net ecosystem exchange and production as well as precipitation.
- Annual: same as Monthly but with annual averages.
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).
Notes
CreditWe 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 Alpine Peatland Flux site is managed collaboratively by RMIT University and La Trobe University. Infrastructure at the site is on loan from CSIRO and was installed with assistance from Eva van Gorsel, Steve Zegelin and Parks Victoria staff. This site is part of OzFlux Australia.
The purpose of the Alpine Peatland flux station is to:
- measure the exchange of carbon dioxide, water vapour and energy between an alpine peatland ecosystem and the atmosphere using micrometeorological techniques
- support an understanding of the ecohydrology of a little-studied wetland ecosystem
- support national parks land managers to better understand peatland ecosystem function, specifically in relation to soil carbon sequestration processes, catchment hydrology and evaporation
- support an understanding of the impacts of global warming on ecosystem processes (such as photosynthesis, respiration or changes in ecohydrology)
- provide a contextual basis for understanding patterns of alpine plant and animal biodiversity (e.g. abiotic factors)
- utilise the measurements for parameterising and validating remote sensing measurements over mountain ecosystems
- utilise the measurements for parameterising and validating the Earth System models to better understand the effects of climate change.
Data Quality Assessment Scope
local :
dataset
<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>Alpine Peatland Flux Tower was established in 2017, and is currently active. The processed data release is currently ongoing, biannually.</br>
<br></br>
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
doi :
https://doi.org/10.5194/bg-14-2903-2017
Created: 2023-10-06
Issued: 2024-01-02
Modified: 2024-05-03
Data time period: 2017-04-12 to 2022-06-20
text: Bogong High Plains near Falls Creek in Alpine National Park, Victoria.
User Contributed Tags
Login to tag this record with meaningful keywords to make it easier to discover
Point-of-truth metadata URL
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
doi :
https://doi.org/10.5194/bg-14-2903-2017
PyFluxPro
- URI : geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/4e7c2432-de2d-439b-ac6b-64fa82058168
- global : 4e7c2432-de2d-439b-ac6b-64fa82058168
