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SOIL MOISTURE/WATER CONTENT

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    This dataset includes volumetric soil water content measured across soil pits in the lowland rainforest of Cape Tribulation. Data were acquired using time-domain reflectometry (TDR) probes recording at soil surface (10 cm) and at depths (50, 100 and 150 cm) at 4 control points - PB1 and PB8 are in the SW quadrant of the crane plot, PB2 and PB5 are in the NW quadrant of the crane plot.

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    The Soil Moisture Integration and Prediction System (SMIPS) produces national extent daily estimates of volumetric soil moisture at a resolution of approximately 1km or 0.01 decimal degrees. SMIPS also generates an index of between 0-1 which approximates how full the 90cm metre soil moisture store is at a particular location and time. The SMIPS model itself consists of two linked soil moisture stores, a shallow quick responding 10cm upper store and a deeper, slower responding 80cm store. SMIPS is parameterised using physical properties from the <a href ='https://www.clw.csiro.au/aclep/soilandlandscapegrid/'>Soil and Landscape Grid of Australia </a>and takes a data model fusion approach for model forcing. Version 1.0 of the SMIPS model uses precipitation and potential evapotranspiration data from the Bureau of Meteorology’s <a href="http://www.bom.gov.au/water/landscape/assets/static/publications/AWRALv6_Model_Description_Report.pdf">AWRA Model</a>. In addition to version 1.0 of the model, an experimental version of the model is available for user testing. This version of the model uses precipitation data supplied by an experimental CSIRO daily rainfall surface generated using spatial data from the NASA Global Precipitation Mission as a base and enhanced using rainfall observations from the Bureau of Meteorology (BoM) rainfall gauge network, and various landscape covariates, processed using a machine learning approach. <br> To help increase model accuracy, the internal SMIPS model states are adjusted or ‘bumped’ by daily observational data from the European Space Agency’s Soil Moisture and Ocean Salinity (SMOS) satellite mission.

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    The Australian cosmic-ray soil moisture monitoring network was first established in 2010 to provide Australian and global researchers with spatially distributed intermediate scale soil moisture observations. A cosmic-ray sensor (CRS) provides continuous estimates of soil moisture over an area of approximately 30 hectares by measuring naturally generated fast neutrons (energy 10–1000 eV) that are produced by cosmic rays passing through the Earth’s atmosphere. The neutron intensity above the land surface is inversely correlated with soil moisture as it responds to the hydrogen contained in the soil and to a lesser degree to plant and soil carbon compounds. The cosmic-ray technique is also passive, non-contact, and is largely insensitive to bulk density, surface roughness, the physical state of water, and soil texture. The scale of CRS measurements fills the void between point scale sensor measurements and large scale satellite observations. The depth of measurements varies with the moisture content of the soil but is typically between 10-30 cm. The depth of observations is reported as ‘effective depth’. <br> The CosmOz network is expanding as new sensors are added over time. The initial network was funded by CSIRO Land and Water but more recently TERN has funded work to maintain the network add new sensors and deliver data more efficiently. The standard CRS installation includes; a cosmic-ray neutron tube, a rain gauge (2m high), temperature and humidity sensors, and an atmospheric pressure sensor. Measures of all parameters are reported at an hourly interval. Each CRS requires an in-field calibration across the footprint of measurements to convert neutron counts to soil moisture content. The calibration includes collection of soil samples for bulk density, lattice water content and soil organic carbon.<br> The Australia CosmOz network consists of <a href="https://cosmoz.csiro.au/sites">19 stations</a>. The extent of the network and available data can be seen at the CosmOz network web page: <a href="https://cosmoz.csiro.au/">https://cosmoz.csiro.au</a>. The data is also accessible from the <a href="https://landscapes-cosmoz-api.tern.org.au/rest/doc">TERN Cosmoz REST API</a>.<br> The calibration and correction procedures used by the network are described by <a href="https://doi.org/10.1002/2013WR015138">Hawdon et al. 2014 </a>.

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    The far north Queensland microclimate (FNQ-microclim) is an ongoing long-term microclimate monitoring project from across five tropical rainforest sites (Daintree Rainforest SuperSite, Cape Tribulation; Daintree Rainforest SuperSite, Cow Bay; Rex Range; Mt. Lewis National Park; Mt. Bellenden Ker), located within an elevation range of 40 - 1550 m a.s.l. Microclimatic parameters measured include: a) air temperature (about 15 cm above ground), b) near surface temperature at the interface between soil and air (less than 1 cm above ground), c) top soil temperature (about 10 cm below ground), and d) top soil moisture. Data are recorded every 15 minutes using the TMS-4 sensors (Temperature Moisture Sensor, T.M.O.S.T s.r.o, Prague, Czech Republic).

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    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), <a href="https://doi.org/10.5194/bg-14-2903-2017">https://doi.org/10.5194/bg-14-2903-2017</a>. 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 <a href="https://github.com/OzFlux/PyFluxPro/wiki">https://github.com/OzFlux</a>.<br /> <br />The Ti Tree East site was established in July 2012 and is managed by the University of Technology Sydney. Pine Hill Station is a functioning cattle station that has been in operation for longer than 50 years. However, the east side has not been stocked in over three years. The site is a mosaic of the primary semi-arid biomes of central Australia: grassy mulga woodland and Corymbia/Triodia savanna.The woodland is characterised by a mulga (Acacia aneura) canopy, which is 4.85 m tall on average. The soil is red sand overlying an 8 m deep water table. Elevation of the site is 553 m above sea level, and the terrain is flat. Mean annual precipitation at the nearby (30 km to the south) Bureau of Meteorology station is 305.9 mm but ranges between 100 mm in 2009 to 750 mm in 2010. Predominant wind directions are from the southeast and east. The instrument mast is 10 m tall. Fluxes of heat, water vapour and carbon are measured using the open-path eddy covariance technique at 9.81m. Supplementary measurements above the canopy include temperature and humidity (9.81 m), windspeed and wind direction (8.28 m), downwelling and upwelling shortwave and longwave radiation (9.9 m). Precipitation is monitored in the savanna (2.5m). Supplementary measurements within and below the canopy include barometric pressure (2 m). Below ground soil measurements are made beneath Triodia, mulga and grassy understorey and include ground heat flux (0.08 m), soil temperature (0.02 m – 0.06 m) and soil moisture (0 – 0.1m, 0.1 – 0.3m, 0.6 – 0.8m and 1.0 – 1.2m). <br />For additional site information, see http://ozflux.org.au/siteOfTheMonth/2020-09Alice-and-TiTree/2020-09Alice-and-TiTree.html . <br /><br />

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    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), <a href="https://doi.org/10.5194/bg-14-2903-2017">https://doi.org/10.5194/bg-14-2903-2017</a>. 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 <a href="https://github.com/OzFlux/PyFluxPro/wiki">https://github.com/OzFlux/PyFluxPro/wiki</a>. <br /> <br /> The flux station was established in 2017 in Wandoo Woodland, which is surrounded by broadacre farming. About 80% of the overstorey cover is <em>Eucalyptus accedens</em> Climate information comes from the nearby Pingelly BoM AWS station 010626 (1991 to 2016) and shows mean annual precipitation is approximately 445 mm with highest rainfall in June and July of 81 mm each month. Maximumum and minuimum annual rainfall is 775 and 217 mm, respectively. Maximum temperatures range from 31.9°C (in Jan) to 15.4°C (in July), while minimum temperatures range from 5.5°C (in July) to 16.0 °C (in Feb). The Noongar people are the traditional owners at Boyagin. <br />For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/boyagin-wandoo-woodland-supersite/ . <br /><br />

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    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), <a href="https://doi.org/10.5194/bg-14-2903-2017">https://doi.org/10.5194/bg-14-2903-2017</a>. 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 <a href="https://github.com/OzFlux/PyFluxPro/wiki">https://github.com/OzFlux/PyFluxPro/wiki</a>. <br /> <br /> The flux station is located within an area of dryland agriculture. The surrounding area is dominated by broadacre farming practices. The vegetation cover is predominantly pasture. Elevation of the site is close to 330 m. Climate information comes from the nearby Pingelly BoM AWS station 010626 (1991 to 2016) and shows mean annual precipitation is approximately 445 mm with highest rainfall in June and July of 81 mm each month. Maximumum and minuimum annual rainfall is 775 and 217 mm, respectively. Maximum temperatures range from 31.9°C (in Jan) to 15.4°C (in July), while minimum temperatures range from 5.5°C (in July) to 16.0 °C (in Feb).<br /><br />

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    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 (v3.4.7) as described in Isaac et al. (2017), <a href="https://doi.org/10.5194/bg-14-2903-2017">https://doi.org/10.5194/bg-14-2903-2017</a>. 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 <a href="https://github.com/OzFlux/PyFluxPro/wiki">https://github.com/OzFlux/PyFluxPro/wiki</a>. <br /> <br /> The ecosystem was dominated by <em>Eucalyptus tectifica</em> and <em>Planchonia careya </em>.<br /> <br /> 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. <br /><br />

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    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), <a href="https://doi.org/10.5194/bg-14-2903-2017">https://doi.org/10.5194/bg-14-2903-2017</a>. 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 <a href="https://github.com/OzFlux/PyFluxPro/wiki">https://github.com/OzFlux/PyFluxPro/wiki</a>. <br /> <br /> The flux station was established in August 2011 while the site supported tropical savanna. The site was part of a deforestation experiment measuring greenhouse gas exchange during conversion of forest to farmland. The land was being cultivated for watermelon production from 2013.<br /><br />

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    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 (v3.4.7) as described in Isaac et al. (2017), <a href="https://doi.org/10.5194/bg-14-2903-2017">https://doi.org/10.5194/bg-14-2903-2017</a>. 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 <a href="https://github.com/OzFlux/PyFluxPro/wiki">https://github.com/OzFlux/PyFluxPro/wiki</a>.<br /> <br />The Alice Springs Mulga flux station is located on Pine Hill cattle station, near Alice Springs in the Northern Territory. The woodland is characterized by the Acacia aneura canopy, which is 6.5m tall on average. Elevation of the site is 606m above sea level, and the terrain is flat. Mean annual precipitation at the nearby (45km distant) Bureau of Meteorology station is 305.9mm but ranges between 100mm in 2009 to 750mm in 2010. Predominant wind directions are from the southeast and east.The extent of the woodland is 11km to the east of the flux station and 16km to the south. The soil is red sandy clay (50:50 sand:clay) overlying a 49m deep water table. Pine Hill Station is a functioning cattle station that has been in operation for longer than 50 years.The instrument mast is 13.7m tall. Fluxes of heat, water vapour and carbon are measured using the open-path eddy covariance technique at 11.6m. Supplementary measurements above the canopy include temperature and humidity (11.6m), windspeed and wind direction (9.25m), downwelling and upwelling shortwave and longwave radiation (12.2m). Precipitation is monitored in a canopy gap (2.5m). Supplementary measurements within and below the canopy include barometric pressure (1m), wind speed (2m, 4.25m and 6.5m), and temperature and humidity (2m, 4.25m and 6m). Below ground soil measurements are made in bare soil, mulga, and understory habitats and include ground heat flux (0.08m), soil temperature (0.02m – 0.06m) and soil moisture (0 – 0.1m, 0.1 – 0.3m, 0.6 – 0.8m and 1.0 – 1.2m). Ancillary measurements include soil water and carbon fluxes, leaf water potential, leaf gas exchange, stem basal area, stem growth, litter production, leaf area index, stem hydraulic conductance, and carbon and water stable isotope ratios. The site was established in September 2010 in conjunction with the Woodforde River NGCRT Superscience Site and is managed by the University of Technology Sydney.<br />For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/alice-mulga-supersite/ <br /><br />