logo
Data
METADATA

Wombat State Forest Flux Data Release 2023_v2

Parent Dataset: Wombat State Forest Flux Data Collection
Ver: 2023_v2
Status of Data: completed
Update Frequency: biannually
Security Classification: unclassified
Viewed: 0
Accessed: 0

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).

Wombat State Forest site is a secondary re-growth forest that was last harvested in 1980. Dominant tree species are Eucalyptus obliqua (messmate stringybark), Eucalyptus radiata (narrow leaf peppermint) and Eucalyptus rubida (candlebark) with an average canopy height of 25 m. The understorey consists mainly of patchy grasses and the soil is a silty-clay overlying clay. The forest is managed by the Department of Sustainability and Environment and management includes selective harvesting and prescribed burning regimes. The climate of the study area is classified as cool-temperate to Mediterranean with cold and wet winters (May-August) and warm and dry summers (December-February) with temperatures between 1 and 30 °C and mean annual air temperature of 12.1 °C. Annual rainfall is approximately 871 mm (142 year long-term average). Coherent automated measurements of soil greenhouse gas fluxes (CO2, CH4 and N2O) were collected using a trailer-mounted mobile laboratory - Fourier transform infra-red (FTIR) spectrometer from 2010 to 2016. Measurement height was originally 30 m but increased to 33 m in January 2017.

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 Melbourne in collaboration with Monash University and the Department of Sustainability and Environment of Victoria. Data collection is funded by TERN.

Purpose
Wombat Forest research site facilitates the investigation of complex ecosystem processes of carbon, water and nutrient cycles in a dry-sclerophyll forest that are commonly found in Australia. This research will help to assess the impact of future environmental change on forest ecosystems in Australia. The Wombat Forest research site will:
  • quantify the carbon sink/source strength of a dry sclerophyll forest and identify the contribution of such forests to the Australia's National Carbon Inventory
  • quantify the emission and/or uptake of non-CO2 greenhouse gases, such as nitrous oxide and methane of the forest
  • assess the role of climate variability and drought on ecosystem processes
  • assess the impact of disturbances (such as fire) on ecosystem processes
  • provide a database of microclimate and ecological parameters for use in carbon and water modelling projects.

Data Processing

File 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
For the NetCDF files at Level 6 (L6), there are several additional 'aggregated' files. For example:
  • 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 productivity, 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).

Temporal coverage

From 1/20/2010 to 5/29/2021

Dates

Creation date

10/6/2023

Publication date

5/4/2024

Revision date

12/16/2024

Citation information

How to cite this collection:

Arndt, S., Hinko-Najera, N. & Griebel, A. (2024): Wombat State Forest Flux Data Release 2023_v2. Version 2023_v2. Terrestrial Ecosystem Research Network. (Dataset). https://doi.org/10.25901/32jz-2j52

Access data

These data can be accessed from following links:

Rights and Licensing

CC-BY

Creative Commons Attribution 4.0 International Licence
http://creativecommons.org/licenses/by/4.0

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.

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}.

Keywords

Parameters
Platforms
Instruments
GCMD Science
ANZSRC - FOR
Horizontal Resolution
Temporal Resolution
Topic Categories
User Defined
  • AU-Wom
  • dry sclerophyll forest
  • eddy covariance

People and Organisation

AuthorsAuthors
Co-authorsCo-authors
Point of ContactPoint of Contact
PublisherPublisher
Distributor's OrganisationDistributor's Organisation

Publications

PublicationsPublications

Data Quality

Data QualityData Quality
  • Data Quality Assessment Scope:

    Processing levels

    Under each of the data release directories, the netcdf files are organised by processing levels (L3, L4, L5 and L6):
    • 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.
    • 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).
    • L5 (Level 5) processing fills gaps in the flux data employing the artificial neural network SOLO (self-organising linear output map).
    • L6 (Level 6) processing partitions the gap-filled NEE into GPP and ER.
    Each processing level has two sub-folders ‘default’ and ‘site_pi’:
    • default: contains files processed using PyFluxPro
    • site_pi: contains files processed by the principal investigators of the site.
    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:
    • range checks for plausible limits
    • spike detection
    • dependency on other variables
    • manual rejection of date ranges
    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 CO2 and H2O signal strength, depending upon the configuration of the IRGA.

    Wombat State Forest Flux Tower was established in 2010, and is currently active. The processed data release is currently ongoing, biannually.


  • 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

Additional information

Method DocumentationMethod Documentation
CollectionsCollections

Related datasets

with matching subjects

Access data
Contacts
  • Terrestrial Ecosystem Research Network
  • Building 1019, 80 Meiers Rd
  • QLD 4068
  • Australia
Spatial coverage
Spatial description
Within the Wombat State Forest, between Ballarat and Daylesford in Central Victoria, 100km west of Melbourne.