NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~50km resolution for 1990-2009 period using NNRP 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 ~50km resolution for 2020-2039 period using CSIRO-MK3.0 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.

OEH-NARCliM collection is the NSW Office of Environment and Heritage Macarthur Forest Fire Danger index.

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 ~50km resolution for 1950-1969 period using NNRP 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.

Mean daily vapour pressure for the Australian continent between 1970-2014. Daily vapour pressure regulates evaporation rates and water need and use. Modelled by expressing each daily value as a difference anomaly with respect to the gridded 1976-2005 monthly mean daily vapour pressures as provided by eMAST_ANUClimate_mmn_vp_v1m0_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 382 Bureau of Meteorology data points available for each day between 1970 and 2014. Automated quality assessment rejected on average 4 data values per day with extreme studentised residuals. Cross validation residuals for all accepted data points had a mean absolute value of 0.51 HPa and a root mean square value of 1.02 HPa. These corresponded to relative errors of around 7% and 11% respectively. A comprehensive assessment of the analysis and the factors contributing to the quality of the final interpolated daily vapour pressure grids is in preparation.

NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~50km 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.

Daily top-layer (~ 0-2 cm) soil moisture derived from ASCAT sensor aboard Metop-A. The data are from the TUW (Technical University of Vienna) and derived using the time series approach of Wagner, Wolfgang; Lemoine, Guido; Rott, Helmut (1999): A method for estimating soil moisture from ERS scatterometer and soil data. Remote Sensing of Environment, 70(2), 191-207, doi:10.1016/S0034-4257(99)00036-X. The daily product is generated for Australia using the average of ascending and descending passes. The data are resampled using nearest neighbour resampling to 0.05 degree resolution for the whole country.

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.