CLM Modelled rainfall predictions

## **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 dataset contains the 30-year totals of modelled rainfall predictions, accumulated up to the catchment areas, above each of the model nodes in the Richmond river basin. This summary is derived from the rainfall modelling predictions for CLM.\n\n## **Purpose** \n\nTo provide rainfall totals at each model node for a water balance calculation.\n\n## **Dataset History** \n\n30-year totals of modelled rainfall from the BILO gridded dataset have been edited.\n\n\n\nThis dataset accumulates this gridded data to provide rainfall totals from the catchment areas above each of the 16 surface water modelling nodes in the Richmond river basin.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2016) CLM Modelled rainfall predictions. Bioregional Assessment Derived Dataset. Viewed 09 October 2017, http://data.bioregionalassessments.gov.au/dataset/75ab5801-cb68-4d90-a13b-9df1cdba10cc.\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* **Derived From** [Mean Annual Climate Data of Australia 1981 to 2012](https://data.gov.au/data/dataset/02418c67-f8bb-48a8-88a3-2a5c6b485f78)\n\n* **Derived From** [CLM Richmond River basin surface water modelling domain](https://data.gov.au/data/dataset/c44f400a-5f44-4f5f-a22f-533e90afd8c5)\n\n* **Derived From** [GEODATA 9 second DEM and D8: Digital Elevation Model Version 3 and Flow Direction Grid 2008](https://data.gov.au/data/dataset/ebcf6ca2-513a-4ec7-9323-73508c5d7b93)\n\n* **Derived From** [Climate model 0.05x0.05 cells and cell centroids](https://data.gov.au/data/dataset/3df5188b-f027-4d51-99a8-45e2800f29c8)\n\n