NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~50km resolution for 1990-2009 period using CCCMA3.1 and R2 ensemble member using the WRF 3.3 model. This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.

NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~10km resolution for 2060-2079 period using CCCMA3.1 and R1 ensemble member using the WRF 3.3 model. This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.

NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~10km resolution for 2060-2079 period using CSIRO-MK3.0 and R3 ensemble member using the WRF 3.3 model. This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.

NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~10km resolution for 2020-2039 period using CSIRO-MK3.0 and R2 ensemble member using the WRF 3.3 model. This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.

Mean daily minimum temperature of each month, for the Australian continent between 1970-2016. Daily temperature regulates rates of plant growth and determines critical conditions such as frost on flowering and fruiting. Modelled by expressing each monthly value as a difference anomaly with respect to the gridded 1976-2005 mean daily minimum temperature for each month as provided by ANUClimate_v1-0_temperature-min_monthly-mean_0-01deg_1976-2005. The monthly anomalies were interpolated by trivariate thin plate smoothing spline functions of longitude, latitude and vertically exaggerated elevation using ANUSPLIN Version 4.5. Monthly data values were calculated from Bureau of Meteorology daily data at stations where there were at least 25 days of record, giving an average of 634 data points per month between 1970 and 2016. Automated quality assessment rejected on average 2 data values per month with extreme studentised residuals. The root mean square of all individual cross validation residuals provided by the spline analysis is 0.73 degrees Centigrade. A comprehensive assessment of the analysis and the factors contributing to the quality of the final interpolated grids is in preparation.

Monthly mean daily minimum temperature for the Australian continent between 1976-2005. Daily minimum temperature regulates rates of plant growth. Modelled by fitting trivariate thin plate smoothing spline functions of longitude, latitude and vertically exaggerated elevation to observed and estimated monthly 1976-2005 daily minimum temperature means at 1541 Bureau of Meteorology stations. Missing monthly temperature 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 5 years of record between 1921 and 2012. Quality controls were applied to the regression and the surface fitting processes to remove poor quality data. Thus, of 1597 stations with at least 5 years of record, 38 stations had poor regressions with long term stations and a further 18 stations had extreme studentised residuals from initial spline analyses. These were commonly stations with an old or short period of record, or with an imprecise location. The spline analysis also incorporated the impact of distance from the coast as provided by eMAST_ANUClimate_fx_dist_v1m0. The root mean square error of individual cross validation residuals provided by the spline analysis at 225 stations with near complete records, of at least 28 years, is 0.47 degrees Celsius. The incorporation of distance from the coast reduced overall cross validation errors by around 10%. A comprehensive assessment of the analysis and the factors contributing to the quality of the final interpolated monthly mean daily minimum temperature grids is in preparation.

Daily maximum temperature for the Australian continent between 1970-2014. Daily maximum temperature regulates rates of plant growth and crop yield. Modelled by expressing each daily value as a difference anomaly with respect to the gridded 1976-2005 monthly mean daily maximum temperatures as provided by ANUClimate_v1-0_temperature-max_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. There was an average of 675 Bureau of Meteorology data points available for each day between 1970 and 2014. Automated quality assessment rejected on average 2.6 data values per day with extreme studentised residuals. These were commonly associated with days following missing observations. Cross validation residuals for all accepted data points had a mean absolute value of 0.76 degrees Celsius and a root mean square value of 1.06 degrees Celsius. A comprehensive assessment of the analysis and the factors contributing to the quality of the final interpolated daily maximum temperature grids is in preparation.

NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~10km resolution for 2020-2039 period using CCCMA3.1 and R3 ensemble member using the WRF 3.3 model. This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.

NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~50km resolution for 1990-2009 period using MIROC3.2 and R1 ensemble member using the WRF 3.3 model. This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.

NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~10km resolution for 2060-2079 period using CSIRO-MK3.0 and R2 ensemble member using the WRF 3.3 model. This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.