{"help": "https://data.gov.au/data/api/3/action/help_show?name=package_show", "success": true, "result": {"author_email": null, "contact_point": "bioregionalassessments@environment.gov.au", "creator_user_id": "2846d45e-3969-4419-a085-84f5716ede91", "duplicate_score": 1, "geospatial_topic": [], "id": "afb68281-d2d3-427e-9b1f-d9e4cc5026f2", "isopen": false, "language": "eng", "license_id": "Limited access. Requests to the Bioregional Assesment Programme http://www.bioregionalassessments.gov.au/data", "license_title": "Limited access. Requests to the Bioregional Assesment Programme http://www.bioregionalassessments.gov.au/data", "maintainer": null, "maintainer_email": null, "metadata_created": "2018-07-17T23:15:32.845407", "metadata_modified": "2023-08-09T05:16:47.405996", "name": "82b95cec-50cb-4811-94f9-23e75cb3d9ce", "notes": "## **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 GLO rainfall data including the period 1970 to 2102 in netCDF format. This dataset was used as climate forcing to drive surface and ground water 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 rainfall data were obtained using the historical rainfall multiplied by seasonal scaling factors.\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\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\n\n\nZhang YQ, Viney NR, Peeters LJM, Wang B, Yang A, Li LT, McVicar TR, Marvanek SP, Rachakonda PK, Shi XG, Pagendam DE and Singh RM (2016) Surface water numerical modelling for the Gloucester subregion. Product 2.6.1 for the Gloucester subregion from the Northern Sydney Basin Bioregional Assessment. Department of the Environment and Energy, Bureau of Meteorology, CSIRO and Geoscience Australia, Australia. http://data.bioregionalassessments.gov.au/product/NSB/GLO/2.6.1.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2016) GLO Future climate rainfall v01. Bioregional Assessment Derived Dataset. Viewed 18 July 2018, http://data.bioregionalassessments.gov.au/dataset/82b95cec-50cb-4811-94f9-23e75cb3d9ce.\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", "num_resources": 0, "num_tags": 4, "organization": {"id": "69f37b4c-bdf0-4c85-bd56-82fa6d6b087a", "name": "bioregional-assessment-program", "title": "Bioregional Assessment Program", "type": "organization", "description": "The Australian Government's bioregional assessments programs are a collaboration between the Department of Agriculture, Water and the Environment, the Bureau of Meteorology, CSIRO and Geoscience Australia. There are two separate programs of bioregional assessments.\r\n\r\nThe Bioregional Assessment Program (2012 - 2017) seeks to better understand the potential impacts of coal seam gas and large coal mining developments on water resources and water-related assets. It is one of a number of actions undertaken by the Australian Government to strengthen the science underpinning decision making on coal seam gas and large coal mining developments.\r\n\r\nThe Geological and Bioregional Assessment Program (2017 - 2021) assessed the potential impacts of shale and tight gas development on water and the environment. The Program assessed three priority geological basins: the Cooper Basin in Queensland and South Australia, the Isa Superbasin in Queensland and the Beetaloo Sub-basin in the Northern Territory (referred to as GBA regions", "image_url": "2015-10-30-051742.096388Bioregional-assessments-logo-800.jpg", "created": "2015-10-30T05:17:42.164347", "is_organization": true, "approval_status": "approved", "state": "active"}, "original_harvest_source": {"site_url": "https://data.gov.au/data/dataset/", "href": "https://data.gov.au/data/dataset/82b95cec-50cb-4811-94f9-23e75cb3d9ce", "title": "data.gov.au"}, "owner_org": "69f37b4c-bdf0-4c85-bd56-82fa6d6b087a", "private": false, "spatial_coverage": "POLYGON ((0 0, 0 0, 0 0, 0 0))", "state": "active", "temporal_coverage_from": "2018-07-17 23:15:32", "title": "GLO Future climate rainfall v01", "type": "dataset", "unpublished": false, "url": null, "version": null, "extras": [{"key": "contact_info", "value": "false"}, {"key": "data_state", "value": "active"}, {"key": "field_of_research", "value": "[]"}, {"key": "jurisdiction", "value": "New South Wales"}, {"key": "update_freq", "value": "never"}], "tags": [{"display_name": "Gloucester subregion", "id": "32341543-27d4-497d-9ac3-7099d3931857", "name": "Gloucester subregion", "state": "active", "vocabulary_id": null}, {"display_name": "New South Wales", "id": "e767d4c4-dcfe-4939-81a4-20cafa72d96e", "name": "New South Wales", "state": "active", "vocabulary_id": null}, {"display_name": "climatologyMeteorologyAtmosphere", "id": "11def81f-1309-4baf-9740-1e8e9fe40045", "name": "climatologyMeteorologyAtmosphere", "state": "active", "vocabulary_id": null}, {"display_name": "inlandWaters", "id": "2931df3f-cb9f-4005-932f-bda4624e55b5", "name": "inlandWaters", "state": "active", "vocabulary_id": null}], "resources": [], "groups": [], "relationships_as_subject": [], "relationships_as_object": []}}