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. The dataset has been processed using PyFluxPro (v3.3.3) 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 Cumberland Plain flux station is located in a dry sclerophyll forest. The Cumberland Plain Woodland is now an endangered ecological community that encompasses distinct groupings of plants growing on clayey soils. The canopy is dominated by Eucalyptus moluccana and Eucalyptus fibrosa, which host an expanding population of mistletoe. Average canopy height is 23m, the elevation of the site is 20m and mean annual precipitation is 800mm.
Fluxes of water vapour, carbon dioxide and heat are quantified with the open-path eddy flux technique from a 30 m tall mast. Additional measurements above the canopy include temperature, humidity, wind speed and direction, rainfall, incoming and reflected shortwave and longwave radiation and net, diffuse and direct radiation and the photochemical reflectance index. In addition, profiles of humidity and CO2 are measured at eight levels within the canopy, as well as measurements of soil moisture content, soil heat fluxes, soil temperature, and 10-hr fuel moisture dynamics. In addition, regular monitoring of understory species abundance, mistletoe infection, leaf area index and litterfall are also performed.
For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/cumberland-plain-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: notPlanned
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 flux station is managed by the Hawkesbury Institute for the Environment at Western Sydney University and was funded by the Education Investment Fund and TERN.
Purpose
The purpose of the Cumberland Plain flux station is:
to quantify the exchanges of carbon dioxide, water vapour and energy in a dry sclerophyll forest.
to characterize the functional behaviour and sensitivity of the different components contributing to the ecosystem carbon balance from sub-daily to multi-annual temporal scales and under climatic variability.
to identify the role of hydraulic limitations on constraining ecosystem productivity.
to quantify the impact of mistletoe on plant physiological processes and whole ecosystem water vapour and carbon dioxide exchange.
to validate remote sensing estimates of different radiation components to obtain accurate regional predictions of fuel moisture.
to understand how wood traits and microbial diversity interact to determine rates of wood decay.
The purpose of the Cumberland Plain flux station is:
to quantify the exchanges of carbon dioxide, water vapour and energy in a dry sclerophyll forest.
to characterize the functional behaviour and sensitivity of the different components contributing to the ecosystem carbon balance from sub-daily to multi-annual temporal scales and under climatic variability.
to identify the role of hydraulic limitations on constraining ecosystem productivity.
to quantify the impact of mistletoe on plant physiological processes and whole ecosystem water vapour and carbon dioxide exchange.
to validate remote sensing estimates of different radiation components to obtain accurate regional predictions of fuel moisture.
to understand how wood traits and microbial diversity interact to determine rates of wood decay.
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: 2022-03-17
Issued: 2022-03-27
Modified: 2024-05-07
Data time period: 2014-01-01 to 2022-01-01
text: In the Hawkesbury Valley in central New South Wales.
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-Cum |
BIOGEOCHEMICAL PROCESSES |
BIOSPHERE |
Campbell Scientific CS616 |
Campbell Scientific TCAV Averaging Soil Thermocouple Probe |
Cubic Meter per Cubic Meter |
Cumberland Plain Flux Station |
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 |
HyQuest Solutions CS700 |
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-190SB |
LI-COR LI-7500 |
LI-COR LI-840 |
LONGWAVE RADIATION |
Meter |
Meter per Second |
Micromoles per mole |
Micromoles per square metre second |
Millimetre |
Millimoles per mole |
Millimoles per square metre second |
Monin-Obukhov length (Meter) |
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 |
Watt per Square Meter |
air temperature (degree Celsius) |
climatologyMeteorologyAtmosphere |
degree Celsius |
downward heat flux at ground level in soil (Watt per Square Meter) |
dry sclerophyll forest |
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 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 photosynthetic photon flux in air (Millimoles per square metre second) |
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/c53448bd-c8c2-4d02-a5f1-3fcdc01652eb
- global : c53448bd-c8c2-4d02-a5f1-3fcdc01652eb
