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.The Tumbarumba flux station is located in the Bago State Forest in south eastern New South Wales. It was established in 2000 and is managed by CSIRO Marine and Atmospheric Research. The forest is classified as wet sclerophyll, the dominant species is Eucalyptus delegatensis, and average tree height is 40m. Elevation of the site is 1200m and mean annual precipitation is 1000mm. The Bago and Maragle State Forests are adjacent to the south west slopes of southern New South Wales and the 48,400 ha of native forest have been managed for wood production for over 100 years. The instrument mast is 70m tall. Fluxes of heat, water vapour and carbon dioxide are measured using the open-path eddy flux technique. Supplementary measurements above the canopy include temperature, humidity, wind speed, wind direction, rainfall, incoming and reflected shortwave radiation and net radiation. Profiles of temperature, humidity and CO2 are measured at seven levels within the canopy. Soil moisture content is measured using Time Domain reflectometry, while soil heat fluxes and temperature are also measured. Hyper-spectral radiometric measurements are being used to determine canopy leaf-level properties. The Tumbarumba flux station is supported by TERN and the DCCEE through the ACCSP.
For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/tumbarumba-wet-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 Tumbarumba site is managed by CSIRO Land and Water (Canberra) and is funded by TERN.
Purpose
The purpose of the Tumbarumba flux station is to :
study the ecophysiological processes and rates of C accumulation of a commercially important, high-productivity forest
measure the exchanges of carbon dioxide, water vapour and energy between the forest and the atmosphere using micrometeorological techniques
develop new data analysis and interpretation methods for micrometeorology in complex terrain. This work will contribute significantly to the discipline of micrometeorology since much of the world's forests are located in complex terrain, where classical techniques may not be suitable
utilize the ecophysiological and micrometeorological measurements to test models of plant and canopy function, such as the acclimation of photosynthetic capacity to temperature variations with season and the response of stomata to drought
utilize the measurements to test land surface models such as the Community Atmosphere Biosphere Land Exchange model CA
The purpose of the Tumbarumba flux station is to :
study the ecophysiological processes and rates of C accumulation of a commercially important, high-productivity forest
measure the exchanges of carbon dioxide, water vapour and energy between the forest and the atmosphere using micrometeorological techniques
develop new data analysis and interpretation methods for micrometeorology in complex terrain. This work will contribute significantly to the discipline of micrometeorology since much of the world's forests are located in complex terrain, where classical techniques may not be suitable
utilize the ecophysiological and micrometeorological measurements to test models of plant and canopy function, such as the acclimation of photosynthetic capacity to temperature variations with season and the response of stomata to drought
utilize the measurements to test land surface models such as the Community Atmosphere Biosphere Land Exchange model CA
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. <br>
For further information about the software (PyFluxPro) used to process and quality control the flux data, see https://github.com/OzFlux/PyFluxPro/wiki.
Created: 2021-08-06
Issued: 2021-09-19
Modified: 2024-05-07
Data time period: 2002-01-07 to 2019-12-31
text: Bago State forest, south eastern New South Wales, Australia.
Subjects
AIR TEMPERATURE |
ATMOSPHERE |
ATMOSPHERIC CARBON DIOXIDE |
ATMOSPHERIC CHEMISTRY |
ATMOSPHERIC PRESSURE |
ATMOSPHERIC PRESSURE MEASUREMENTS |
ATMOSPHERIC RADIATION |
Atmospheric Sciences |
ATMOSPHERIC TEMPERATURE |
ATMOSPHERIC WATER VAPOR |
AU-Tum |
BIOGEOCHEMICAL PROCESSES |
BIOSPHERE |
Campbell Scientific CS616 |
Campbell Scientific CSAT3 |
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 WindMaster HS |
Gill Windsonic |
Gram per Cubic Meter |
HEAT FLUX |
HUMIDITY |
Hourly - < Daily |
HyQuest Solutions CS700 |
INCOMING SOLAR RADIATION |
Kilogram per Kilogram |
Kilograms per metre per square second |
Kilograms per square metre per second |
Kilopascal |
Kipp&Zonen CNR1 |
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) |
PHOTOSYNTHETICALLY ACTIVE RADIATION |
PRECIPITATION |
PRECIPITATION AMOUNT |
Percent |
Point Resolution |
REBS HFT3 Soil Heat Flux Plate |
RS Components Thermocouple - type K |
SHORTWAVE RADIATION |
SOIL MOISTURE/WATER CONTENT |
Soil Sciences |
SOIL TEMPERATURE |
SOLID EARTH |
SURFACE TEMPERATURE |
TERRESTRIAL ECOSYSTEMS |
TRACE GASES/TRACE SPECIES |
TURBULENCE |
Tumbarumba Flux Station |
Vaisala HMP45C |
Vaisala PTB101B |
WIND DIRECTION |
WIND SPEED |
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) |
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) |
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) |
wet sclerophyll |
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/b448fc02-2f0e-4a27-8d0f-8542e0fc6dc9
- global : b448fc02-2f0e-4a27-8d0f-8542e0fc6dc9
