This dataset comprises a collection of high resolution climate grid surfaces for land areas across Tasmania, generated at a 30m spatial resolution. There are 76 climate products that describe temperature and rainfall parameters tailored to crop growing requirements as part of the Enterprise Suitability Mapping Program (link: https://dpipwe.tas.gov.au/agriculture/investing-in-irrigation/enterprise-suitability-toolkit/enterprise-suitability-maps). The products include climate risk indicators such as frost risk, heat risk, and extreme rainfall risk, as well as crop related indices including growing degree days and chill hours. In addition, mean monthly climate surfaces are provided for maximum and minimum air temperature and rainfall. These grids represent modelled climate observations for the baseline period 1998-2017 and are designed to complement CMIP6.0 climate projection outputs available through The LIST (link: https://www.thelist.tas.gov.au/app/content/data/geo-meta-data-search?profileType=&groupName=&bboxNorth=&bboxWest=&bboxSouth=&bboxEast=&titleSearch=true&query=digital+climate&_keywordCategory=-1&isTasmania=true&custodian=&sortBy=Title%3AASC&matches=10). A detailed inventory and description of each dataset are provided in the Inventory of Digital Climate Mapping for Tasmania (link: https://nrmdatalibrary.dpipwe.tas.gov.au/FactSheets/WfW/ListMapUserNotes/Inventory_DCM_Tas.pdf). All climate products are accessible via the Natural Assets Web Map Service (WMS) at https://spatial.dpipwe.tas.gov.au/naturalassets/Climate/wms. They can also be viewed interactively through the Tasmanian Climate Map web application at https://arcg.is/vaHDG.

The climate maps are generated using spatial modelling techniques based on Bureau of Meteorology (BoM) climate station data and temperature logger records produced from the Tasmanian Department of Natural Resources & Environment (NRE) enterprise suitability mapping program (refer here: https://nre.tas.gov.au/agriculture/investing-in-irrigation/enterprise-suitability-toolkit). Air temperature-based climate maps were produced by harmonising the temperature logger data (comprising of over 600 sites with at least 1yr hourly recordings) to the long-term recordings of 57 BoM climate station sites. This was done to derive a high-density dataset representing contiguous daily recordings for the 20-year period between 1998 and 2017 (refer to Webb et al. 2015 for detailed methodology). From this, climate parameters such as frost risk, heat risk, growing degree days, chill hours, mean maximum/minimum monthly temperatures were determined for each site. This data then underwent Regression Tree or Thin-plate-spline interpolation to produce a continuous raster grid surface saved as geoTIFF files. Regarding rainfall-based climate maps, these were produced directly from data derived from the BoM climate stations. Climate parameters such as extreme rainfall risk and mean monthly rainfall were determined for each site from which Thin-plate-spline interpolation was used produce the corresponding raster grid products. A document that describes each dataset can be accessed here: https://nrmdatalibrary.dpipwe.tas.gov.au/FactSheets/WfW/ListMapUserNotes/Inventory_DCM_Tas.pdf All outputs produced from this modelling are available for use in a GIS via a Web Map Service (WMS): https://spatial.dpipwe.tas.gov.au/naturalassets/Climate/wms Further reading: Webb, M., Hall, A., Kidd, D. & Minasny, B. (2015) Local-scale spatial modelling for interpolating climatic temperature variables to predict agricultural plant suitability. Theoretical and Applied Climatology, 124, 1145-1165. Webb, M., Pirie, A., Kidd, D. & Minasny, B. (2018) Spatial analysis of frost risk to determine viticulture suitability in Tasmania, Australia. Australian Journal of Grape and Wine Research, 24, 219-233.

Position Accuracy: 30m. Attribute Accuracy: Uncertainty assessment of the grid surfaces was conducted and involved running a K-fold cross validation procedure (the result of which can be requested from the custodian). In general, however, the assessment for most surfaces resulted in acceptable prediction accuracies with the Root Mean Square Error (RMSE), R2 and concordance coefficient within acceptable ranges. It should be noted that attribute accuracy is expected to be optimal in the Meander irrigation scheme area of 45,000 ha, Flinders Island area of 10,000 ha and 27,000 ha in the Midlands where a greater temperature logger reconnaissance effort was conducted during the pilot phase of the Wealth from Water project in 2011-2012 and in the extension phase in 2012-2014. (refer to: http://dpipwe.tas.gov.au/agriculture/investing-in-irrigation/enterprise-suitability-toolkit). During the Water for Profit project in 2015-2017 an additional 100 temperature logger sites were deployed to the Midlands area representing over 400,000 ha of improved mapping detail for the area. Logical Consistency: Each raster cell data is attributed with climate parameter attribute data (as detailed above). There are no duplicates. Completeness: The spatial layers cover the entire state of Tasmania, excluding Macquarie Island.