Brief 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 (v3.3.0) 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/ .
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 .
Progress Code: completed
Maintenance and Update Frequency: biannually
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 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.
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.
Data Quality Information
Data Quality Assessment Scope
local :
dataset
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 .
Created: 2013-03-05
Issued: 2021-11-29
Modified: 2024-05-12
Data time period: 2013-03-05 to 2021-06-08
text: Adjacent to the Huon River in South Western Tasmania.
Subjects
1 minute - < 1 hour |
AIR TEMPERATURE |
ATMOSPHERE |
ATMOSPHERIC CARBON DIOXIDE |
ATMOSPHERIC CHEMISTRY |
ATMOSPHERIC PRESSURE |
ATMOSPHERIC PRESSURE MEASUREMENTS |
ATMOSPHERIC RADIATION |
Atmospheric Sciences |
ATMOSPHERIC TEMPERATURE |
ATMOSPHERIC WATER VAPOR |
AU-Wrr |
BIOGEOCHEMICAL PROCESSES |
BIOSPHERE |
Campbell Scientific AP200 |
Campbell Scientific CS616 |
Campbell Scientific EC155 |
Campbell Scientific TCAV Averaging Soil Thermocouple Probe |
Cubic Meter per Cubic Meter |
Degree |
EARTH SCIENCE |
Earth Sciences |
Ecological Applications |
Environmental Science and Management |
Environmental Sciences |
EVAPOTRANSPIRATION |
Ecosystem Function |
Environmental Monitoring |
GEOCHEMISTRY |
Gill Windsonic4 |
Gram per Cubic Meter |
HEAT FLUX |
HUMIDITY |
Hukseflux HFP01 |
INCOMING SOLAR RADIATION |
Kilogram per Kilogram |
Kilograms per metre per square second |
Kilograms per square metre per second |
Kilopascal |
Kipp&Zonen CNR4 |
LAND PRODUCTIVITY |
LAND SURFACE |
LAND USE/LAND COVER |
LI-COR LI-7500 |
LONGWAVE RADIATION |
Meter |
Meter per Second |
Micromoles per mole |
Micromoles per square metre second |
Milligram per Cubic Meter |
Millimetre |
Millimoles per mole |
Monin-Obukhov length (Meter) |
Observator RIM-8000 series rain gauge |
PHOTOSYNTHETICALLY ACTIVE RADIATION |
PRECIPITATION |
PRECIPITATION AMOUNT |
Percent |
Point Resolution |
SHORTWAVE RADIATION |
SOIL MOISTURE/WATER CONTENT |
Soil Sciences |
SOIL TEMPERATURE |
SOLID EARTH |
SURFACE TEMPERATURE |
TERRESTRIAL ECOSYSTEMS |
TRACE GASES/TRACE SPECIES |
TURBULENCE |
WIND DIRECTION |
WIND SPEED |
Warra Flux Station |
Watt per Square Meter |
air temperature (degree Celsius) |
climatologyMeteorologyAtmosphere |
degree Celsius |
downward heat flux at ground level in soil (Watt per Square Meter) |
eastward wind (Meter per Second) |
ecosystem respiration (Micromoles per square metre second) |
eddy covariance |
gross primary productivity of biomass expressed as carbon (Micromoles per square metre second) |
magnitude of surface downward stress (Kilograms per metre per square second) |
mass concentration of carbon dioxide in air (Milligram per Cubic Meter) |
mass concentration of water vapor in air (Gram per Cubic Meter) |
mole fraction of carbon dioxide in air (Micromoles per mole) |
mole fraction of water vapor in air (Millimoles per mole) |
net ecosystem exchange (Micromoles per square metre second) |
net ecosystem productivity (Micromoles per square metre second) |
northward wind (Meter per Second) |
relative humidity (Percent) |
sclerophyll forest |
soil temperature (degree Celsius) |
specific humidity (Kilogram per Kilogram) |
specific humidity saturation deficit in air (Kilogram per Kilogram) |
surface air pressure (Kilopascal) |
surface downwelling longwave flux in air (Watt per Square Meter) |
surface downwelling shortwave flux in air (Watt per Square Meter) |
surface friction velocity (Meter per Second) |
surface net downward radiative flux (Watt per Square Meter) |
surface upward flux of available energy (Watt per Square Meter) |
surface upward latent heat flux (Watt per Square Meter) |
surface upward mole flux of carbon dioxide (Micromoles per square metre second) |
surface upward sensible heat flux (Watt per Square Meter) |
surface upwelling longwave flux in air (Watt per Square Meter) |
surface upwelling shortwave flux in air (Watt per Square Meter) |
thickness of rainfall amount (Millimetre) |
upward mole flux of carbon dioxide due inferred from storage (Micromoles per square metre second) |
vertical wind (Meter per Second) |
volume fraction of condensed water in soil (Cubic Meter per Cubic Meter) |
water evapotranspiration flux (Kilograms per square metre per second) |
water vapor partial pressure in air (Kilopascal) |
water vapor saturation deficit in air (Kilopascal) |
wind from direction (Degree) |
wind speed (Meter per Second) |
User Contributed Tags
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Point-of-truth metadata URL Identifiers
- URI : geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/9d8e8a1f-778f-4e44-996e-f03dd8697e84
- global : 9d8e8a1f-778f-4e44-996e-f03dd8697e84
