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Silver Plains Flux Data Release 2022_v1 

Ver: 1.0
Status of Data: completed
Update Frequency: notPlanned
Security Classification: unclassified
Record Last Modified: 2025-12-02
Viewed 32 times
Accessed 3 times
Dataset Created: 2020-01-01
Dataset Published: 2022-11-17
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLHTTPNetCDF files (2022_v1)HTTPRead meHTTPro-crate-metadata.json
How to cite this collection:
Hovenden, M. & Nyberg, M. (2022). Silver Plains Flux Data Release 2022_v1. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/xbzc-fg62 
This data release consists of flux tower measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer in high-altitude grassy peatland ecosystem using eddy covariance techniques. It been processed using PyFluxPro (v3.4.4) 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.

Silver Plains Flux Station was established in 2019 in Interlaken, on the Tasmanian Central Plateau, on land owned and managed by the Tasmanian Land Conservancy.

This data is also available at http://data.ozflux.org.au 
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. Silver Plains flux station is part of the Australian Mountain Research Facility and ves grants from the Australian Rese. This site is part of OzFlux Australia. 
Purpose
The purpose of the Silver Plains flux tower is to:
  • Monitor exchanges of carbon dioxide, water vapour and energy in a high-altitude grassy peatland ecosystem on the Tasmanian Central Plateau
  • Quantify the carbon balance of the ecosystem, along with the key components of net ecosystem exchange, gross primary productivity and ecosystem respiration
  • Identify key environmental and climatic drivers of carbon, water and energy fluxes
  • Complement manual chamber measurements of net ecosystem CO2 exchange in an adjacent climate change experiment
  • Utilize measurements alongside manual chamber measurements and ancillary environmental variables to model ecosystem carbon dynamics under a future climate
  • utilise the measurements for parameterising forage and grazing models
  • utilise the measurements for parameterising and validating remote sensing measurements over semi-arid savanna ecosystems
  • utilise the measurements for parameterising and validating the Earth System models to better understand the effects of climate change
 
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.
Silver Plains flux tower is located at Interlaken, on the Tasmanian Central Plateau.
Temporal Coverage
From 2020-01-01 to 2021-12-31 
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 CS650
Campbell Scientific CSAT3
Campbell Scientific TCAV Averaging Soil Thermocouple Probe
Hukseflux HFP01
Kipp&Zonen CNR4
LI-COR LI-7500RS
Observator RIM-7499-BOM
Vaisala HMP155A
Parameters
air temperature
downward heat flux at ground level in soil
eastward wind
ecosystem respiration
gross primary productivity
magnitude of surface downward stress
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
scaling temperature
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
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
Silver Plain Flux Station
Temporal Resolution
1 minute - < 1 hour
Topic
climatologyMeteorologyAtmosphere
User Defined
Silver Plains
Author
Hovenden, Mark
Nyberg, Marion
Contact Point
Hovenden, Mark
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
By Parent record
Silver Plains Flux Data Collection
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Terrestrial Ecosystem Research Network
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Creative Commons Attribution 4.0 International Licence
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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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Version:6.2.22