A collection of high-resolution climate grid surfaces for land areas in Tasmania. There are 76 climate products available that delineate temperature and rainfall parameters specific to crop growing requirements that form part of the enterprise suitability mapping program (refer here: https://dpipwe.tas.gov.au/agriculture/investing-in-irrigation/enterprise-suitability-toolkit/enterprise-suitability-maps). Broadly speaking these products include climate risk parameters including frost risk, heat risk and extreme rainfall risk as well as crop related indices including growing degree days and chill hours. Furthermore, mean monthly climate variables including mean monthly maximum/minimum air temperature and rainfall products are also produced. Refer here for dataset inventory: https://nrmdatalibrary.dpipwe.tas.gov.au/FactSheets/WfW/ListMapUserNotes/Inventory_DCM_Tas.pdf The grids were made by using high resolution spatial modelling techniques with spatial resolution set at 30m grid spacings. All products can be accessed via Web Map Service: https://spatial.dpipwe.tas.gov.au/naturalassets/Climate/wms Or viewed in the following Web Map application: https://arcg.is/vaHDG

These wind statistics data are collected continuously at the Tasmanian Earth Resources Satellite Station (TERSS) facility on Droughty Hill near Hobart on Tasmania's south east coast. Data collection began in September 1995 and continued to Dec 2011. Instrument Details: Location: latitude -42.9256, longitude 147.4206, ground elevation 150m, instrument 7 metres above ground. Manufacturer: R.M. Young Company. Traverse City, Michigan 49686 U.S.A. 616-946-3980 (http://www.youngusa.com) Model: Wind Monitor, model 05103V (See link to brochure). Data: Each line of data gives values reduced from samples collected every second over the preceding 10 minutes. Parameters include: Date; Time (UTC); Mean wind speed; Minimum wind speed; Maximum wind speed; Mean direction; Standard deviation of the previous 10 1-minute direction averages; Vector averaged wind speed; Vector averaged wind direction; Vector averaged "stress" in (m/s)**2; Vector averaged stress direction. The code that takes the one second readings and produces the 10 minute averages in the data files is available via the documentation links section). NOTE: This data is collected in order to assist in the daily management of the satellite dish. The instrument is located at a site to suit this particular purpose, not at a location that would provide the best statistics for other purposes.

The aridity index, also known as the Budyko radiative index of dryness, is a dimensionless parameter that represents the long-term balance between net radiation and precipitation. The method used to generate the high-resolution aridity index layer across New South Wales was developed by Nyman et al., 2014. To create the high-resolution (30 m) aridity index layer for New South Wales, the following parameters were used: 1 arc second monthly net radiation and shortwave radiation ratio, 30 years of historical data encompassing precipitation and surface temperature from the period 1992 to 2021, 30-meter Shuttle Radar Topography Mission digital elevation model, and 30-meter Leaf Area Index layer which provides insights into the density and distribution of vegetation across the region. The aridity index layer is a high-resolution dataset that allows identification of finer-scale variations in local moisture balance related to aspect unlike existing aridity index layers. This dataset serves as a valuable tool for understanding and managing water resources, assessing environmental conditions, and informing decision-making in a wide range of applications related to water management, land use, and climate change adaptation. The Aridity Index factsheet provides more information about the method and some potential application of the layer.

A statewide grid surface (80m spatial resolution) delineating recent accumulated rainfall (millimetres since 9am) across Tasmania is produced in near real-time. The outputs are dynamic with maps updated at hourly intervals (there is a production time lag where outputs typically take 30 minutes to be produced from the true observation time). Refer to the following link for details of the latest map updates: https://sdi.tas-hires-weather.cloud.edu.au/shiny/ Map outputs are based on records produced from Bureau of Meteorology (BoM) Automatic Weather Station and Rain Gauge sites, in addition to Tasmanian government rain gauge and thrid party weather station sites. For operational real-time application, the mapping was fully automated in the R programming language and hosted on a cloud-based computing platform - via the high performance computing cluster provided by the Tasmanian Partnership of Advanced Computing (TPAC) of the University of Tasmania.

Daily total precipitation for Australian continent between 1970-2014. Daily rainfall totals are useful for estimation of soil moisture for plant growth and surface runoff via soil water balance modelling. Modelled by expressing each daily value, including zero rainfall, as a normalised anomaly with respect to the gridded 1976-2005 mean for each month, as provided by ANUClimate_v1-0_rain_monthly-mean_0-01deg_1976-2005. The daily anomalies were interpolated by trivariate thin plate smoothing spline functions of longitude, latitude and vertically exaggerated elevation using ANUSPLIN Version 4.5. Station elevations were 0.05 degree local averages of grid values from the GEODATA 9 second DEM version 3 as provided by ANUClimate_v1-0_dem05_terrain_0-01deg. There was an average of 6384 Bureau of Meteorology data points per day between 1970 and 2014. The mean absolute value of all individual cross validation residuals provided by the spline analysis is 0.95 mm (50% of the overall mean). Extreme studentised residuals clearly identified data errors associated with unrecognised missing values, unrecognised accumulated values, and values recorded on the wrong (usually preceding) day. There were on average around 5 such extreme residuals per day. The rainfall occurrence of the individual cross validated days agrees with the rainfall occurrence of 91% of all days of record, where daily rainfall occurrence is defined as daily rainfall exceeding 0.2 mm. A comprehensive assessment of the analysis and the factors contributing to the quality of the final interpolated monthly rainfall grids is in preparation.

A collection of high-resolution soil attribute grid surfaces for land areas in Tasmania. There are 17 soil attribute products available that delineate specific soil properties at standardized soil depths (0-5cm, 0-15cm, 5-15cm, 15-30cm, 30-60cm, 60-100cm & 100-200cm) and grid resolutions (30m and 80m grid resolutions). Soil attributes available include Available Water Capacity (AWC, %), Bulk Density (BD, Mg/m3), Soil Texture (Clay; Sand; Silt, %), Coarse Fragments (CF, %), Soil Depth (cm), Soil Drainage, Electrical Conductivity (EC/ECse, dS/m), Field Capacity (FC), Soil Organic Carbon (SOC, %), Soil Permeability, pH, Exchangeable Calcium (ExCa, ppm), Exchangeable Magnesium (ExMg, ppm) and Depth to Sodic layer (Sodic Depth, cm). A document that describes each dataset and associated nomenclature can be accessed here: https://nrmdatalibrary.dpipwe.tas.gov.au/FactSheets/WfW/ListMapUserNotes/Inventory_DSM_Tas.pdf Note that these products were developed using datasets held by the Tasmanian Department of Primary Industries Parks Water & Environment (DPIPWE) Soils Database, hosted on the Tasmanian Natural Values Atlas (https://www.naturalvaluesatlas.tas.gov.au/). The mapping was made by using spatial modelling and digital soil mapping (DSM) techniques with the outputs available via a Web Map Service (WMS): https://spatial.dpipwe.tas.gov.au/naturalassets/Soil/wms Or viewed in the following Web Map application: https://arcg.is/4PaT8

Point data collected by sub-meter differential GPS for long term reference/ soil condition monitoring sites in Tasmania. The SCEAM project supports the needs of NRM strategies across all three NRM regions in Tasmania. The project sets out to gather baseline soil data for 300 sites identified within key soil/land use combinations across the State, through the compilation of a network of reference sites. When compared with future monitoring at the same sites the data will enable identification of changes and trends in soil condition. The soil/land use combinations targeted have been identified on the basis of importance to the respective regions.

These are products of the Soil and Landscape Grid of Australia Facility generated through disaggregation of the Western Australian soil mapping. There are 9 soil attribute products available from the Soil Facility: Available Water Holding Capacity - Volumetric (AWC); Bulk Density - Whole Earth (BDw); Bulk Density - Fine Earth (BDf); Clay (CLY); Course Fragments (CFG); Electrical Conductivity (ECD); pH Water (pHw); Sand (SND); Silt (SLT). Each soil attribute product is a collection of 6 depth slices. Each depth raster has an upper and lower uncertainty limit raster associated with it. The depths provided are 0-5cm, 5-15cm, 15-30cm, 30-60cm, 60-100cm & 100-200cm, consistent with the Specifications of the GlobalSoilMap. The DSMART tool (Odgers et al. 2014) tool was used in a downscaling process to translate legacy soil landscape mapping to 3” resolution (approx. 100m cell size) raster predictions of soil classes (Holmes et al. Submitted). The soil class maps were then used to produce corresponding soil property surfaces using the PROPR tool (Odgers et al. 2015; Odgers et al. Submitted). Legacy mapping was compiled for the state of WA from surveys ranging in map scale from 1:20,000 to 1:2,000,000 (Schoknecht et al., 2004). The polygons are attributed with the soils and proportions of soils within polygons however individual soils were not explicitly spatially defined. These new disaggregated map products aim to incorporate expert soil surveyor knowledge embodied in legacy polygon soil maps, while providing re-interpreted soil spatial information at a scale that is more suited to on-ground decision making. Note: The DSMART-derived dissagregated legacy soil mapping products provide different spatial predictions of soil properties to the national TERN Soil Grid products derived by Cubist (data mining) and kriging based on site data by Viscarra Rossel et al. (Submitted). Where they overlap, the national prediction layers and DSMART products can be considered complementary predictions. They will offer varying spatial reliability (/ uncertainty) depending on the availability of representative site data (for national predictions) and the scale and expertise of legacy mapping. The national predictions and DSMART disaggregated layers have also been merged as a means to present the best available (lowest statistical uncertainty) data from both products (Clifford et al. In Prep). Previous versions of this collection contained Depths layers. These have been removed as the units do not comply with Global Soil Map specifications.

These are products of the Soil and Landscape Grid of Australia Facility generated through disaggregation of the Western Australian soil mapping. There are 9 soil attribute products available from the Soil Facility: Available Water Holding Capacity - Volumetric (AWC); Bulk Density - Whole Earth (BDw); Bulk Density - Fine Earth (BDf); Clay (CLY); Course Fragments (CFG); Electrical Conductivity (ECD); pH Water (pHw); Sand (SND); Silt (SLT). Each soil attribute product is a collection of 6 depth slices. Each depth raster has an upper and lower uncertainty limit raster associated with it. The depths provided are 0-5cm, 5-15cm, 15-30cm, 30-60cm, 60-100cm & 100-200cm, consistent with the Specifications of the GlobalSoilMap. The DSMART tool (Odgers et al. 2014) tool was used in a downscaling process to translate legacy soil landscape mapping to 3” resolution (approx. 100m cell size) raster predictions of soil classes (Holmes et al. Submitted). The soil class maps were then used to produce corresponding soil property surfaces using the PROPR tool (Odgers et al. 2015; Odgers et al. Submitted). Legacy mapping was compiled for the state of WA from surveys ranging in map scale from 1:20,000 to 1:2,000,000 (Schoknecht et al., 2004). The polygons are attributed with the soils and proportions of soils within polygons however individual soils were not explicitly spatially defined. These new disaggregated map products aim to incorporate expert soil surveyor knowledge embodied in legacy polygon soil maps, while providing re-interpreted soil spatial information at a scale that is more suited to on-ground decision making. Note: The DSMART-derived dissagregated legacy soil mapping products provide different spatial predictions of soil properties to the national TERN Soil Grid products derived by Cubist (data mining) and kriging based on site data by Viscarra Rossel et al. (Submitted). Where they overlap, the national prediction layers and DSMART products can be considered complementary predictions. They will offer varying spatial reliability (/ uncertainty) depending on the availability of representative site data (for national predictions) and the scale and expertise of legacy mapping. The national predictions and DSMART disaggregated layers have also been merged as a means to present the best available (lowest statistical uncertainty) data from both products (Clifford et al. In Prep). Previous versions of this collection contained Depths layers. These have been removed as the units do not comply with Global Soil Map specifications.