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Warra Flux Data Release 2021_v1 

Ver: 1.0
Status of Data: completed
Update Frequency: biannually
Security Classification: unclassified
Record Last Modified: 2025-12-02
Viewed 323 times
Accessed 20 times
Dataset Created: 2013-03-05
Dataset Published: 2021-11-29
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLHTTPNetCDF files (2021_v1)HTTPro-crate-metadata.json
How to cite this collection:
Wardlaw, T. & Phillips, A. (2021). Warra Flux Data Release 2021_v1. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/45we-hc33 
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 (v3.3.0) 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.

Eucalyptus obliqua forests dominate the vegetation below 650 m where they exist as fire-maintained communities. On fertile soils these forests attain mature heights in excess of 55m: the tallest E. obliquareaches a height of 90m. The flux station is installed in a stand of tall, mixed-aged E. obliqua forest (77 and >250 years-old) with a rainforest understorey and a dense man-fern (Dicksonia antarctica) ground-layer, on a small flat of elevation 100 m adjacent to the Huon River. The understorey vegetation progresses from wet sclerophyll (dominated by Pomaderris apatala and Acacia dealbata) to rainforest (dominated by Nothofagus cunninghamii, Atherosperma moschatum, Eucryphia lucida and Phyllocladus aspleniifolius) with increasing time intervals between fire events. The site supports prodigous quantities of coarse woody debris as is characteristic of these fire-maintained eucalypt forests on fertile sites in southern Tasmania.
The soil at the flux site is derived from Permian mudstone and has a gradational profile with a dark brown organic clayey silt topsoil overlying a yellow brown clay.
The climate of Warra is classified as temperate with a mild summer and no dry season. Mean annual precipitation is 1700 mm with a relatively uniform seasonal distribution. Summer temperatures peak in January (min. 8.4°C – max 19.2°C) with winter temperatures reaching their lowest in July (min 2.6°C – max 8.4°C).

The instruments are mounted at the top of an 80m tall guyed steel lattice tower. Supplementary measurements above the canopy include temperature, humidity, windspeed, wind direction, rainfall, incoming and reflected shortwave radiation and net radiation. An open-path gas analyser (EC150) was replaced by a closed-path gas analyser (EC155) at the end of Jan 2015.Soil moisture content is measured using Time Domain Reflectometry, while soil heat fluxes and temperature are also measured. Micro-meteorology (CO2, H2O, energy fluxes), meteorology (temp, humidity, wind speed and direction, rainfall) taken from the Warra Flux Site from 2013 to late 2016. Data incomplete due to ongoing problems since changing the open-path IRGA to a closed path system (CPEC200) during 2015. Soil data (moisture, heat flux, temp) complete for time period. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/warra-tall-eucalypt-supersite/ . 
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 Tasmania and funded by TERN. 
Purpose
The purpose of the Warra flux station is:
to study the ecophysiological processes and rates of C accumulation and decomposition in a mixed-aged, tall, wet Eucalyptus obliqua forest originating from past natual wildfires
to measure the exchanges of carbon dioxide, water vapour and energy between the forest and the atmosphere using micrometeorological techniques
to link ecophysiological processes and rates of C accumulations and decomposition with the biota.
to utilize the measurements in combination with remote sensing data and land surface models to upscale estimate the net exchanges of carbon and water at regional scale. 
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 . 
Method DocumentationData not provided.
Procedure StepsData not provided.
Adjacent to the Huon River in South Western Tasmania.
Temporal Coverage
From 2013-03-05 to 2021-06-08 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

Data Quality Assessment Scope
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 (i) range checks for plausible limits, (ii) spike detection, (iii) dependency on other variables and (iv) 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. For more details, refer to Isaac et al (2017) in the Publications section, https://doi.org/10.5194/bg-14-2903-2017. For further information about the software (PyFluxPro) used to process and quality control the flux data, see https://github.com/OzFlux/PyFluxPro/wiki . 
Data Quality Report
Data not provided. 
Data Quality Assessment Outcome
Data not provided. 
ANZSRC - FOR
Atmospheric sciences
Climate change impacts and adaptation
Ecosystem function
Environmental management
Soil sciences
GCMD Sciences
ATMOSPHERE - AIR TEMPERATURE
ATMOSPHERE - ATMOSPHERIC CARBON DIOXIDE
ATMOSPHERE - ATMOSPHERIC PRESSURE MEASUREMENTS
ATMOSPHERE - EVAPOTRANSPIRATION
ATMOSPHERE - HEAT FLUX
ATMOSPHERE - HUMIDITY
ATMOSPHERE - INCOMING SOLAR RADIATION
ATMOSPHERE - LONGWAVE RADIATION
ATMOSPHERE - PRECIPITATION AMOUNT
ATMOSPHERE - SHORTWAVE RADIATION
ATMOSPHERE - TRACE GASES/TRACE SPECIES
ATMOSPHERE - TURBULENCE
ATMOSPHERE - WIND DIRECTION
ATMOSPHERE - WIND SPEED
BIOSPHERE - PHOTOSYNTHETICALLY ACTIVE RADIATION
BIOSPHERE - TERRESTRIAL ECOSYSTEMS
LAND SURFACE - LAND PRODUCTIVITY
LAND SURFACE - SOIL MOISTURE/WATER CONTENT
LAND SURFACE - SOIL TEMPERATURE
SOLID EARTH - BIOGEOCHEMICAL PROCESSES
Horizontal Resolution
Point Resolution
Instruments
Campbell Scientific AP200
Campbell Scientific CS616
Campbell Scientific EC155
Campbell Scientific TCAV Averaging Soil Thermocouple Probe
Gill Windsonic4
Hukseflux HFP01
Kipp&Zonen CNR4
LI-COR LI-7500
Observator RIM-8000 series rain gauge
Parameters
air temperature
downward heat flux at ground level in soil
eastward wind
ecosystem respiration
gross primary productivity of biomass expressed as carbon
magnitude of surface downward stress
mass concentration of carbon dioxide in air
mass concentration of water vapor in air
mole fraction of carbon dioxide in air
mole fraction of water vapor in air
Monin-Obukhov length
net ecosystem exchange
net ecosystem productivity
northward wind
relative humidity
soil temperature
specific humidity
specific humidity saturation deficit in air
surface air pressure
surface downwelling longwave flux in air
surface downwelling shortwave flux in air
surface friction velocity
surface net downward radiative flux
surface upward flux of available energy
surface upward latent heat flux
surface upward mole flux of carbon dioxide
surface upward sensible heat flux
surface upwelling longwave flux in air
surface upwelling shortwave flux in air
thickness of rainfall amount
upward mole flux of carbon dioxide due inferred from storage
vertical wind
volume fraction of condensed water in soil
water evapotranspiration flux
water vapor partial pressure in air
water vapor saturation deficit in air
wind from direction
wind speed
Platforms
Warra Flux Station
Temporal Resolution
1 minute - < 1 hour
Topic
climatologyMeteorologyAtmosphere
User Defined
AU-Wrr
eddy covariance
sclerophyll forest
Author
Wardlaw, Tim
Co-Author
Phillips, Alison
Contact Point
Wardlaw, Tim
Publisher
Terrestrial Ecosystem Research Network
Beringer, Jason et al., 2016. An introduction to the Australian and New Zealand flux tower network – OzFlux. Biogeosciences, 13(21). doi:10.5194/bg-13-5895-2016
Isaac, Peter et al., 2017. OzFlux data: network integration from collection to curation. Biogeosciences, 14(12). doi:10.5194/bg-14-2903-2017
Warra Tall Eucalypt SuperSite
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Terrestrial Ecosystem Research Network
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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.

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

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