Data

Howard Springs Flux Data Release 2023_v1

Terrestrial Ecosystem Research Network
Beringer, Jason ; Hutley, Lindsay ; Northwood, Matthew
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25901/2txx-gt37&rft.title=Howard Springs Flux Data Release 2023_v1&rft.identifier=10.25901/2txx-gt37&rft.publisher=Terrestrial Ecosystem Research Network&rft.description=This release consists of flux tower measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer using eddy covariance techniques. Data were processed using PyFluxPro (v3.5.0) as described by Isaac et al. (2017). PyFluxPro produces a final, gap-filled product with Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER). The site is classified as an open woodland savanna. The overstory is co-dominated by tree species Eucalyptus miniata and Eucalyptus tentrodonata, and average tree height is 14-16 m. Elevation of the site is close to 64 m and mean annual precipitation is 1750 mm. Maximum temperatures range from 30.4 °C (in July) to 33.2 °C (in November), while minimum temperatures range from 19.3 °C (in July) to 25.4 °C (in November). Therefore, the maximum and minimum range varies from 7 °C (wet season) to 11 °C (dry season). The instrument mast is 23 m tall. Heat, water vapour and carbon dioxide measurements are taken using the open-path eddy flux technique. Temperature, humidity, wind speed, wind direction, rainfall, incoming and reflected shortwave radiation and net radiation are measured above the canopy. Soil heat fluxes are measured and soil moisture content is gathered using time domain reflectometry.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).Progress Code: onGoingMaintenance and Update Frequency: biannually&rft.creator=Beringer, Jason &rft.creator=Hutley, Lindsay &rft.creator=Northwood, Matthew &rft.date=2023&rft.edition=2023_v1&rft.relation=https://doi.org/10.5194/bg-13-5895-2016&rft.coverage=In the Black Jungle Conservation Reserve, South East of Darwin, Northern Territory.&rft.coverage=northlimit=-12.943; southlimit=-12.943; westlimit=131.1523; eastLimit=131.1523; projection=EPSG:4326&rft_rights=Creative Commons Attribution 4.0 International Licence http://creativecommons.org/licenses/by/4.0&rft_rights=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. <br />Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN. <br /><br />Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting&rft_rights=Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.&rft_subject=climatologyMeteorologyAtmosphere&rft_subject=BIOGEOCHEMICAL PROCESSES&rft_subject=EARTH SCIENCE&rft_subject=SOLID EARTH&rft_subject=GEOCHEMISTRY&rft_subject=LAND PRODUCTIVITY&rft_subject=LAND SURFACE&rft_subject=LAND USE/LAND COVER&rft_subject=EVAPOTRANSPIRATION&rft_subject=ATMOSPHERE&rft_subject=ATMOSPHERIC WATER VAPOR&rft_subject=TERRESTRIAL ECOSYSTEMS&rft_subject=BIOSPHERE&rft_subject=ATMOSPHERIC PRESSURE MEASUREMENTS&rft_subject=ATMOSPHERIC PRESSURE&rft_subject=TURBULENCE&rft_subject=WIND SPEED&rft_subject=WIND DIRECTION&rft_subject=TRACE GASES/TRACE SPECIES&rft_subject=ATMOSPHERIC CHEMISTRY&rft_subject=CARBON DIOXIDE&rft_subject=PHOTOSYNTHETICALLY ACTIVE RADIATION&rft_subject=LONGWAVE RADIATION&rft_subject=SHORTWAVE RADIATION&rft_subject=INCOMING SOLAR RADIATION&rft_subject=ATMOSPHERIC RADIATION&rft_subject=HEAT FLUX&rft_subject=AIR TEMPERATURE&rft_subject=ATMOSPHERIC TEMPERATURE&rft_subject=SURFACE TEMPERATURE&rft_subject=PRECIPITATION AMOUNT&rft_subject=PRECIPITATION&rft_subject=HUMIDITY&rft_subject=SOIL MOISTURE/WATER CONTENT&rft_subject=SOIL TEMPERATURE&rft_subject=ATMOSPHERIC SCIENCES&rft_subject=EARTH SCIENCES&rft_subject=ECOLOGICAL APPLICATIONS&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=Ecosystem Function&rft_subject=ENVIRONMENTAL SCIENCE AND MANAGEMENT&rft_subject=Environmental Monitoring&rft_subject=SOIL SCIENCES&rft_subject=Howard Springs Flux Station&rft_subject=Hukseflux HFP01&rft_subject=Campbell Scientific TCAV Averaging Soil Thermocouple Probe&rft_subject=LI-COR LI-7500&rft_subject=HyQuest Solutions CS700&rft_subject=Campbell Scientific CS616&rft_subject=Campbell Scientific CSAT3&rft_subject=soil temperature&rft_subject=water evapotranspiration flux&rft_subject=mole fraction of carbon dioxide in air&rft_subject=magnitude of surface downward stress&rft_subject=ecosystem respiration&rft_subject=thickness of rainfall amount&rft_subject=volume fraction of condensed water in soil&rft_subject=surface downwelling longwave flux in air&rft_subject=surface upward mole flux of carbon dioxide&rft_subject=surface air pressure&rft_subject=surface upward latent heat flux&rft_subject=Monin-Obukhov length&rft_subject=net ecosystem exchange&rft_subject=surface upwelling shortwave flux in air&rft_subject=surface upward flux of available energy&rft_subject=surface upwelling longwave flux in air&rft_subject=lateral component of wind speed&rft_subject=longitudinal component of wind speed&rft_subject=surface net downward radiative flux&rft_subject=surface upward sensible heat flux&rft_subject=wind speed&rft_subject=surface friction velocity&rft_subject=gross primary productivity&rft_subject=water vapor saturation deficit in air&rft_subject=water vapor partial pressure in air&rft_subject=relative humidity&rft_subject=wind from direction&rft_subject=specific humidity&rft_subject=specific humidity saturation deficit in air&rft_subject=vertical wind&rft_subject=mass concentration of water vapor in air&rft_subject=downward heat flux at ground level in soil&rft_subject=surface downwelling shortwave flux in air&rft_subject=mole fraction of water vapor in air&rft_subject=air temperature&rft_subject=net ecosystem productivity&rft_subject=Point Resolution&rft_subject=1 minute - < 1 hour&rft_subject=Eddy Covariance&rft_subject=AU-How&rft_subject=open woodland savanna&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution 4.0 International Licence
http://creativecommons.org/licenses/by/4.0

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.
Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN.

Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting

Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.

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Contact Information

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Building 1019, 80 Meiers Rd
QLD 4068
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Brief description


This release consists of flux tower measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer using eddy covariance techniques. Data were processed using PyFluxPro (v3.5.0) as described by Isaac et al. (2017). PyFluxPro produces a final, gap-filled product with Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER).

The site is classified as an open woodland savanna. The overstory is co-dominated by tree species Eucalyptus miniata and Eucalyptus tentrodonata, and average tree height is 14-16 m. Elevation of the site is close to 64 m and mean annual precipitation is 1750 mm. Maximum temperatures range from 30.4 °C (in July) to 33.2 °C (in November), while minimum temperatures range from 19.3 °C (in July) to 25.4 °C (in November). Therefore, the maximum and minimum range varies from 7 °C (wet season) to 11 °C (dry season).

The instrument mast is 23 m tall. Heat, water vapour and carbon dioxide measurements are taken using the open-path eddy flux technique. Temperature, humidity, wind speed, wind direction, rainfall, incoming and reflected shortwave radiation and net radiation are measured above the canopy. Soil heat fluxes are measured and soil moisture content is gathered using time domain reflectometry.

Notes

Data Processing

File naming convention

The NetCDF files follow the naming convention below:

SiteName_ProcessingLevel_FromDate_ToDate_Type.nc
  • SiteName: short name of the site
  • ProcessingLevel: file processing level (L3, L4, L5, L6)
  • FromDate: temporal interval (start), YYYYMMDD
  • ToDate: temporal interval (end), YYYYMMDD
  • Type (Level 6 only): Summary, Monthly, Daily, Cumulative, Annual
For the NetCDF files at Level 6 (L6), there are several additional 'aggregated' files. For example:
  • Summary: This file is a summary of the L6 data for daily, monthly, annual and cumulative data. The files Monthly to Annual below are combined together in one file.
  • Monthly: This file shows L6 monthly averages of the respective variables, e.g. AH, Fc, NEE, etc.
  • Daily: same as Monthly but with daily averages.
  • Cumulative: File showing cumulative values for ecosystem respiration, evapo-transpiration, gross primary product, net ecosystem exchange and production as well as precipitation.
  • Annual: same as Monthly but with annual averages.

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).

Progress Code: onGoing
Maintenance and Update Frequency: biannually

Notes

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.

The site is managed by the University of Western Australia and Charles Darwin University and supported by TERN. The flux station is part of the Australian OzFlux Network and contributes to the international FLUXNET Network.
Purpose
The primary purpose of Howard Springs Flux Station is to understand the effects of fire on heat, moisture and carbon dioxide fluxes in Australia's tropical savannas. Other aims include:
  • to examine the water and carbon exchanges of tropical savannas
  • understand the process of carbon cycling and storage in tropical savannas
  • provide longer term measurements for future projects.
Data Quality Information

Data Quality Assessment Scope
local : dataset
<br>Processing levels</br> <br>Under each of the data release directories, the netcdf files are organised by processing levels (L3, L4, L5 and L6):<ul style="list-style-type: disc;"> <li>L3 (Level 3) processing applies a range of quality assurance/quality control measures (QA/QC) to the L1 data. The variable names are mapped to the standard variable names (CF 1.8) as part of this step. The L3 netCDF file is then the starting point for all further processing stages.</li> <li>L4 (Level 4) processing fills gaps in the radiation, meteorological and soil quantities utilising AWS (automated weather station), ACCESS-G (Australian Community Climate and Earth-System Simulator) and ERA5 (the fifth generation ECMWF atmospheric reanalysis of the global climate).</li> <li>L5 (Level 5) processing fills gaps in the flux data employing the artificial neural network SOLO (self-organising linear output map).</li> <li>L6 (Level 6) processing partitions the gap-filled NEE into GPP and ER.</li></ul> Each processing level has two sub-folders ‘default’ and ‘site_pi’:<ul style="list-style-type: disc;"> <li>default: contains files processed using PyFluxPro</li> <li>site_pi: contains files processed by the principal investigators of the site.</li></ul> 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: <ul style="list-style-type: disc;"> <li>range checks for plausible limits</li> <li>spike detection</li> <li>dependency on other variables</li> <li>manual rejection of date ranges</li></ul> 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 CO<sub>2</sub> and H<sub>2</sub>O signal strength, depending upon the configuration of the IRGA.</br>

Isaac P., Cleverly J., McHugh I., van Gorsel E., Ewenz C. and Beringer, J. (2017). OzFlux data: network integration from collection to curation, Biogeosciences, 14: 2903-2928
doi : https://doi.org/10.5194/bg-14-2903-2017

Created: 2023-03-31

Issued: 2023-05-04

Modified: 2014-07-14

Data time period: 2002-01-01

This dataset is part of a larger collection

Click to explore relationships graph

131.1523,-12.943

131.1523,-12.943

text: In the Black Jungle Conservation Reserve, South East of Darwin, Northern Territory.

Subjects
1 minute - < 1 hour | AIR TEMPERATURE | ATMOSPHERE | ATMOSPHERIC CHEMISTRY | ATMOSPHERIC PRESSURE | ATMOSPHERIC PRESSURE MEASUREMENTS | ATMOSPHERIC RADIATION | Atmospheric Sciences | ATMOSPHERIC TEMPERATURE | ATMOSPHERIC WATER VAPOR | AU-How | BIOGEOCHEMICAL PROCESSES | BIOSPHERE | CARBON DIOXIDE | Campbell Scientific CS616 | Campbell Scientific CSAT3 | Campbell Scientific TCAV Averaging Soil Thermocouple Probe | EARTH SCIENCE | Earth Sciences | Ecological Applications | Environmental Science and Management | Environmental Sciences | EVAPOTRANSPIRATION | Ecosystem Function | Eddy Covariance | Environmental Monitoring | GEOCHEMISTRY | HEAT FLUX | HUMIDITY | Howard Springs Flux Station | Hukseflux HFP01 | HyQuest Solutions CS700 | INCOMING SOLAR RADIATION | LAND PRODUCTIVITY | LAND SURFACE | LAND USE/LAND COVER | LI-COR LI-7500 | LONGWAVE RADIATION | Monin-Obukhov length | PHOTOSYNTHETICALLY ACTIVE RADIATION | PRECIPITATION | PRECIPITATION AMOUNT | 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 | air temperature | climatologyMeteorologyAtmosphere | downward heat flux at ground level in soil | ecosystem respiration | gross primary productivity | lateral component of wind speed | longitudinal component of wind speed | 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 | net ecosystem exchange | net ecosystem productivity | open woodland savanna | relative humidity | 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 |

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Other Information
Point-of-truth metadata URL

uri : https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/d23fb025-b995-4c04-bcc3-9827b648cb91

Isaac P., Cleverly J., McHugh I., van Gorsel E., Ewenz C. and Beringer, J. (2017). OzFlux data: network integration from collection to curation, Biogeosciences, 14: 2903-2928

doi : https://doi.org/10.5194/bg-14-2903-2017

PyFluxPro

uri : https://github.com/OzFlux/PyFluxPro/wiki