Mean climate variables for all subregions

## **Abstract** \n\nThe dataset was derived by the Bioregional Assessment Programme. This dataset was derived from BILO Gridded Climate Data data provided by the CSIRO. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.\n\n\n\nVarious climate variable summary for all 15 subregions. Including:\n\n1. Time series mean annual Bureau of Meteorology Australian Water Availability Project (BAWAP) rainfall from 1900 - 2012.\n\n2. Long term average BAWAP rainfall and Penman Potential Evapotranspiration (PET) from Jan 1981 - Dec 2012 for each month\n\n3. Values calculated over the years 1981 - 2012 (inclusive), for 17 time periods (i.e., annual, 4 seasons and 12 months) for the following 8 meteorological variables: (i) BAWAP_P; (ii) Penman ETp; (iii) Tavg (average temperature); (iv) Tmax (maximum temperature); (v) Tmin (minimum temperature); (vi) VPD (Vapour Pressure Deficit); (vii) Rn (net Radiation); and (viii) Wind speed. For each of the 17 time periods for each of the 8 meteorological variables have calculated the: (a) average; (b) maximum; (c) minimum; (d) average plus standard deviation (stddev); (e) average minus stddev; (f) stddev; and (g) trend.\n\n4. Correlation coefficients (-1 to 1) between rainfall and 4 remote rainfall drivers between 1957-2006 for the four seasons. The data and methodology are described in Risbey et al. (2009). All data used in this analysis came directly from James Risbey, CSIRO Marine and Atmospheric Research (CMAR), Hobart. As described in the Risbey et al. (2009) paper, the rainfall was from 0.05 degree gridded data described in Jeffrey et al. (2001 - known as the SILO datasets); sea surface temperature was from the Hadley Centre Sea Ice and Sea Surface Temperature dataset (HadISST) on a 1 degree grid. BLK=Blocking; DMI=Dipole Mode Index; SAM=Southern Annular Mode; SOI=Southern Oscillation Index; DJF=December, January, February; MAM=March, April, May; JJA=June, July, August; SON=September, October, November. The analysis is a summary of Fig. 15 of Risbey et al. (2009).\n\n## **Dataset History** \n\nDataset was generated using various source data:\n\n\n\n1. annual BAWAP rainfall \n\nannual BAWAPrainfall \n\n\n\n2. long term average BAWAP rainfall and Penman PET for each month\n\nMonthly BAWAP rainfall \n\nMonthly Penman PET \n\n\n\n3. climate varaible trends\n\nMonthly BAWAP rainfall \n\nMonthly Penman PET\n\nMonthly BAWAP Tair \n\nMonthly BAWAP Tmax \n\nMonthly BAWAP Tmin \n\nMonthly VPD \n\nActual vapour measured at 9:00am, the saturated vapour is calculated from Tmax and Tmin.\n\nMonthly Rn \n\n\n\nMonthly Wind \n\nThis dataset is created by CLW Ecohydrological Time Series Remote Sensing Team. See http://www-data.iwis.csiro.au/ts/climate/wind/mcvicar_etal_grl2008/.\n\n\n\n4. Correlation coefficients (-1 to 1) between rainfall and 4 remote rainfall drivers\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2013) Mean climate variables for all subregions. Bioregional Assessment Derived Dataset. Viewed 12 March 2019, http://data.bioregionalassessments.gov.au/dataset/3f568840-0c77-4f74-bbf3-6f82d189a1fc.\n\n## **Dataset Ancestors** \n\n* **Derived From** [BILO Gridded Climate Data: Daily Climate Data for each year from 1900 to 2012](https://data.gov.au/data/dataset/7aaf0621-a0e5-4b01-9333-53ebcb1f1c14)\n\n