Data

CLM Modelled rainfall predictions

data.gov.au
Bioregional Assessment Program (Owned by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://data.gov.au/data/dataset/38bfa415-3c90-40a8-9dec-8437a32d2b3e&rft.title=CLM Modelled rainfall predictions&rft.identifier=75ab5801-cb68-4d90-a13b-9df1cdba10cc&rft.publisher=data.gov.au&rft.description=CLM Modelled rainfall predictions - Data File## **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&rft.creator=Bioregional Assessment Program&rft.date=2022&rft.coverage=POLYGON ((0 0, 0 0, 0 0, 0 0))&rft_rights=Creative Commons Attribution 4.0 International, http://creativecommons.org/licenses/by/4.0/, (c) Commonwealth of Australia (Bioregional Assessment Programme http://www.bioregionalassessments.gov.au), (c) Commonwealth of Australia (Bureau of Meteorology) 2014, (c) Commonwealth of Australia (Geoscience Australia) 2014&rft_subject=Clarence-Moreton bioregion&rft_subject=inlandWaters&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Other view details
Creative Commons Attribution 4.0 International, Http://creativecommons.org/licenses/by/4.0/, (c) Commonwealth of Australia (bioregional Assessment Programme Http://www.bioregionalassessments.gov.au), (c) Commonwealth of Australia (bureau of Meteorology) 2014, (c) Commonwealth of Australia (geoscience Australia) 2014

Creative Commons Attribution 4.0 International, http://creativecommons.org/licenses/by/4.0/, (c) Commonwealth of Australia (Bioregional Assessment Programme http://www.bioregionalassessments.gov.au), (c) Commonwealth of Australia (Bureau of Meteorology) 2014, (c) Commonwealth of Australia (Geoscience Australia) 2014

Brief description

## **Abstract**

The 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.



This 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.

## **Purpose**

To provide rainfall totals at each model node for a water balance calculation.

## **Dataset History**

30-year totals of modelled rainfall from the BILO gridded dataset have been edited.



This 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.

## **Dataset Citation**

Bioregional 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.

## **Dataset Ancestors**

* **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)

* **Derived From** [Mean Annual Climate Data of Australia 1981 to 2012](https://data.gov.au/data/dataset/02418c67-f8bb-48a8-88a3-2a5c6b485f78)

* **Derived From** [CLM Richmond River basin surface water modelling domain](https://data.gov.au/data/dataset/c44f400a-5f44-4f5f-a22f-533e90afd8c5)

* **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)

* **Derived From** [Climate model 0.05x0.05 cells and cell centroids](https://data.gov.au/data/dataset/3df5188b-f027-4d51-99a8-45e2800f29c8)

Full description

CLM Modelled rainfall predictions - Data File

This dataset is part of a larger collection

Click to explore relationships graph

Spatial Coverage And Location

text: POLYGON ((0 0, 0 0, 0 0, 0 0))

Subjects

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers