A series of grid surfaces delineating mean minimum or maximum temperatures (Degree Celsius, C) is calculated for individual months for land areas across Tasmania at a spatial resolution of 30m. Seventy-two datasets are available for this parameter representing recent climate to: 2018 (min_avg_jan, min_avg_feb, min_avg_mar, min_avg_apr, min_avg_may, min_avg_jun, min_avg_jul, min_avg_aug, min_avg_sep, min_avg_oct, min_avg_nov, min_avg_dec, max_avg_jan, max_avg_feb, max_avg_mar, max_avg_apr, max_avg_may, max_avg_jun, max_avg_jul, max_avg_aug, max_avg_sep, max_avg_oct, max_avg_nov, max_avg_dec) and projected climate - based on Climate Futures for Tasmania (CFT) modelling at: 2030 (min_avg_jan_2030, min_avg_feb_2030, min_avg_mar_2030, min_avg_apr_2030, min_avg_may_2030, min_avg_jun_2030, min_avg_jul_2030, min_avg_aug_2030, min_avg_sep_2030, min_avg_oct_2030, min_avg_nov_2030, min_avg_dec_2030, max_avg_jan_2030, max_avg_feb_2030, max_avg_mar_2030, max_avg_apr_2030, max_avg_may_2030, max_avg_jun_2030, max_avg_jul_2030, max_avg_aug_2030, max_avg_sep_2030, max_avg_oct_2030, max_avg_nov_2030, max_avg_dec_2030); 2050 (min_avg_jan_2050, min_avg_feb_2050, min_avg_mar_2050, min_avg_apr_2050, min_avg_may_2050, min_avg_jun_2050, min_avg_jul_2050, min_avg_aug_2050, min_avg_sep_2050, min_avg_oct_2050, min_avg_nov_2050, min_avg_dec_2050, max_avg_jan_2050, max_avg_feb_2050, max_avg_mar_2050, max_avg_apr_2050, max_avg_may_2050, max_avg_jun_2050, max_avg_jul_2050, max_avg_aug_2050, max_avg_sep_2050, max_avg_oct_2050, max_avg_nov_2050, max_avg_dec_2050). For definitions relating to the dataset names (listed in brackets above) refer to the dataset inventory: https://nrmdatalibminry.dpipwe.tas.gov.au/FactSheets/WfW/ListMapUserNotes/Inventory_DCM_Tas.pdf

Monthly mean total precipitation for the Australian continent between 1976-2005. Modelled by fitting a trivariate thin plate smoothing spline function of longitude, latitude and vertically exaggerated elevation to the square roots of observed and estimated monthly 1976-2005 rainfall means at 11,697 Bureau of Meteorology stations. Missing monthly precipitation values were estimated by regression with the long term station that provided estimates of the 1976-2005 monthly means with with the least standard error. This was applied to each station with at least 10 years of record between 1931 and 2012. Automated quality controls were applied to the regression process to remove poor quality data. Thus, an average of 66 values per month were removed, giving an average of 11631 data points for each month. These were commonly associated with stations with an old or short period of record, or with an imprecise location. Station elevations were 0.05 degree local averages of grid values from the GEODATA 9 second DEM version 3 as provided by eMAST_ANUClimate_fx_el05_v1m0. The mean absolute error of individual cross validation residuals provided by the spline analysis at 3518 stations with near complete records, of at least 28 years, is 3.9 mm (6.6% of the mean). A comprehensive assessment of the analysis and the factors contributing to the quality of the final interpolated monthly mean precipitation grids is in preparation.

## **Abstract** This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. Mean monthly and mean annual evaporation grids. The grids show evaporation values across Australia in the form of two-dimensional array data. The mean data are based on all available stations with at least ten years of records between 1975 and 2005. ## **Purpose** To demonstrate distribution of evaporation values over Arckaringa subregion. ## **Dataset History** Gridded data were generated using the Barnes 2-D meteorological analysis. Approximately 270 stations were used in the analysis. All input station data underwent a high degree of quality control before analysis. Most of the stations used in the analysis have at least 10 years of records, with at least 80% complete data over the recorded period. The evaporation data that were used in producing the grids are from the Bureau of Meteorologys class A pan evaporimeters. ## **Dataset Citation** SA Department of Environment, Water and Natural Resources (2015) Average monthly and average annual evaporation data - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/1b2b7967-e011-44d2-b8f3-595d57fc8653.