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 (v3.3.3) 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 ecosystem was dominated by Eucalyptus tectifica and Planchonia careya .
Elevation of the site was close to 90m and mean annual precipitation at a nearby Bureau of Meteorology site was 1730mm. Maximum temperatures ranged from 31.4°C (in June) to 36.8°C (in October) while minimum temperatures range from 16.2°C (in July) to 25.1°C (in December). Maximum temperature varied seasonally by approximately 5.4°C and minimum temperatures varied by approximately 8.9°C.The instrument mast was 15 meters tall. Heat, water vapour and carbon dioxide measurements were taken using the open-path eddy flux technique. Temperature, humidity, wind speed, wind direction, rainfall, incoming and reflected shortwave radiation and net radiation were measured above the canopy. Soil heat fluxes are measured and soil moisture content was gathered using time domain reflectometry.
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 site was established in November 2007 and was managed by Monash University and Charles Darwin University until it was decommissioned in May 2009. The station was part of OzFlux, the Australia Flux Network and contributed data to the international FLUXNET Network.
Purpose
The purpose of the Adelaide River Flux Station was to:
Provide information as part of a larger network of flux stations established along the North Australian Tropical Transect (NATT) gradient, which extends ~1000km south from Darwin 12.5°S.
Examine spatial patterns and processes of land-surface-atmosphere exchanges (radiation, heat, moisture, CO2 and other trace gasses) across scales from leaf to landscape scales within Australian savannas.
Determine the climate and ecosystem characteristics (physical structure, species composition, physiological function) that drive spatial and temporal variations of carbon, water and energy fluxes from north Australian savanna.
Determine if fluxes of carbon, water vapour and heat over the various ecosystems as derived from the various measurement techniques can be combined to form a comprehensive and consistent estimate of the regional fluxes and budgets across the landscape.
The purpose of the Adelaide River Flux Station was to:
Provide information as part of a larger network of flux stations established along the North Australian Tropical Transect (NATT) gradient, which extends ~1000km south from Darwin 12.5°S.
Examine spatial patterns and processes of land-surface-atmosphere exchanges (radiation, heat, moisture, CO2 and other trace gasses) across scales from leaf to landscape scales within Australian savannas.
Determine the climate and ecosystem characteristics (physical structure, species composition, physiological function) that drive spatial and temporal variations of carbon, water and energy fluxes from north Australian savanna.
Determine if fluxes of carbon, water vapour and heat over the various ecosystems as derived from the various measurement techniques can be combined to form a comprehensive and consistent estimate of the regional fluxes and budgets across the landscape.
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: 2021-08-06
Issued: 2022-03-25
Modified: 2024-05-07
Data time period: 2007-10-17 to 2009-05-24
text: Approximately 10.5km south east of Bachelor, Northern Territory
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-Ade |
Adelaide River Flux Station |
BIOGEOCHEMICAL PROCESSES |
BIOSPHERE |
Campbell Scientific CSAT3 |
Cubic Meter per Cubic Meter |
Degree |
EARTH SCIENCE |
Earth Sciences |
Ecological Applications |
Environmental Science and Management |
Environmental Sciences |
EVAPOTRANSPIRATION |
Ecosystem Function |
Eddy Covariance |
Environmental Monitoring |
GEOCHEMISTRY |
Gram per Cubic Meter |
HEAT FLUX |
HUMIDITY |
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-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 |
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) |
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) |
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) |
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) |
woody savanna |
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Point-of-truth metadata URL Identifiers
- URI : geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/161ae1cb-4362-4923-8fdd-7822dee75559
- global : 161ae1cb-4362-4923-8fdd-7822dee75559
