HUN future climate rainfall v01

## **Abstract** \n\nThe dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.\n\n\n\nThis is HUN rainfall data including the period 1953 to 2102 in netCDF format. This dataset was used as climate forcing to drive surface and groundwater modelling.\n\n\n\nThe seasonal scaling factors associated with CSIRO-Mk3.0 that are +4.5%, -2.1%, -4.5% and -2.8% for summer, autumn, winter and spring are used to generate trended climate inputs for the years 2013 to 2102. The trends assume global warming of 1-degree for the period 2013 to 2042, compared to 1983 to 2012. The global warming for 2043 to 2072 is assumed to be 1.5 degrees and the corresponding scaling factors for this period are therefore multiplied by 1.5. The global warming for 2073 to 2102 is assumed to be 2 degrees.\n\n## **Dataset History** \n\nThe future climate rainfall data were obtained using the historical rainfall (1983-2012) multiplied by seasonal scaling factors.\n\n\n\nThe seasonal scaling factors associated with a global climate model- MRI (from the Meteorological Research Institute, Japan) are +5.4%, -3.4%, -8.1% and -1.8% for summer, autumn, winter and spring, respectively, and were used to generate trended climate inputs for the years 2013 to 2102. The trends assume global warming of 1-degree for the period 2013 to 2042, compared to 1983 to 2012. The global warming for 2043 to 2072 is assumed to be 1.5 degrees and the corresponding scaling factors for this period are therefore multiplied by 1.5. The global warming for 2073 to 2102 is assumed to be 2 degrees.\n\n\n\nThe scaling factors are applied to scale the daily precipitation in the climate input series that is generated for 2013 to 2102 (Zhang et al., 2016).\n\n\n\nReference:\n\nZhang YQ, Pena-Arancibia J, Viney N, Herron NF, Peeters L, Yang A, Wang W, Marvanek SP, Rachakonda PK and Ramage A (2016) Surface water numerical modelling for the Hunter subregion. Product 2.6.1 for the Hunter subregion from the Northern Sydney Basin Bioregional Assessment. Department of the Environment, Bureau of Meteorology, CSIRO and Geoscience Australia, Australia. http://data.bioregionalassessments.gov.au/product/NSB/HUN/2.6.1.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2016) HUN future climate rainfall v01. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/4e4420e8-7d42-43bc-a63d-6ca3f07d8036.\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