Data

CLM - Unified streamflow data (mm) for 9 catchments in NSW

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/3c26df32-ed03-43c3-aa22-d94d5703391b&rft.title=CLM - Unified streamflow data (mm) for 9 catchments in NSW&rft.identifier=4d10e50a-8ff5-4319-999e-8294f6600781&rft.publisher=data.gov.au&rft.description=CLM - Unified streamflow data (mm) for 9 catchments in NSW - 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\nStream gauging station daily time-series for 9 gauges in the Tweed, Richmond and Clarence catchments in NSW presented as millimetres over gauged area.\n\n## **Purpose** \n\nFor AWRA-L calibration\n\n## **Dataset History** \n\nStarted with the measured gauging station flows (volume in ML) for nine gauging stations.\n\n\n\nThis gauged stream flow volume was converted into a depth (in mm) over each catchment area (km^2) - which is the unit that AWRA-L requires.\n\n\n\ni.e. ML / km^2 = mm\n\n\n\nThis provides time-series of measured streamflow at nine catchments for use in the calibration of the AWRA-L surface water model.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2015) CLM - Unified streamflow data (mm) for 9 catchments in NSW. Bioregional Assessment Derived Dataset. Viewed 09 October 2017, http://data.bioregionalassessments.gov.au/dataset/4d10e50a-8ff5-4319-999e-8294f6600781.\n\n## **Dataset Ancestors** \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** [CLM - AWRA Calibration Gauges SubCatchments](https://data.gov.au/data/dataset/af6476a5-02e7-4916-8151-504896729ce6)\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** [CLM - NSW Office of Water Gauge Data for Tweed, Richmond & Clarence rivers. Extract 20140901](https://data.gov.au/data/dataset/a4b5b711-57c4-4b02-bd8b-a05d7379f319)\n\n* **Derived From** [CLM16swg Surface water gauging station data within the Clarence Moreton Basin](https://data.gov.au/data/dataset/1e4cdb84-10cf-4772-91fc-820688dc9aef)\n\n* **Derived From** [CLM - NSW River Gauge pdf documents.](https://data.gov.au/data/dataset/ffc17844-006c-40e8-adcd-53e75efb530f)\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* **Derived From** [CLM - Streamflow unified NSW](https://data.gov.au/data/dataset/1e848ee6-4f79-469d-90c9-34596828b364)\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&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) State of New South Wales (Office of Water), (c) Commonwealth of Australia (Bureau of Meteorology) 2014, (c) Commonwealth of Australia (Geoscience Australia) 2014, (c) Commonwealth of Australia (Bureau of Meteorology)&rft_subject=Clarence-Moreton bioregion&rft_subject=New South Wales&rft_subject=inlandWaters&rft.type=dataset&rft.language=English Access the data

Access data via landing page
http://data.gov.au/dat...

Cite Saved to MyRDA Save to MyRDA

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) State of New South Wales (office of Water), (c) Commonwealth of Australia (bureau of Meteorology) 2014, (c) Commonwealth of Australia (geoscience Australia) 2014, (c) Commonwealth of Australia (bureau of Meteorology)

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) State of New South Wales (Office of Water), (c) Commonwealth of Australia (Bureau of Meteorology) 2014, (c) Commonwealth of Australia (Geoscience Australia) 2014, (c) Commonwealth of Australia (Bureau of Meteorology)

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.

Stream gauging station daily time-series for 9 gauges in the Tweed, Richmond and Clarence catchments in NSW presented as millimetres over gauged area.

## **Purpose**

For AWRA-L calibration

## **Dataset History**

Started with the measured gauging station flows (volume in ML) for nine gauging stations.

This gauged stream flow volume was converted into a depth (in mm) over each catchment area (km^2) - which is the unit that AWRA-L requires.

i.e. ML / km^2 = mm

This provides time-series of measured streamflow at nine catchments for use in the calibration of the AWRA-L surface water model.

## **Dataset Citation**

Bioregional Assessment Programme (2015) CLM - Unified streamflow data (mm) for 9 catchments in NSW. Bioregional Assessment Derived Dataset. Viewed 09 October 2017, http://data.bioregionalassessments.gov.au/dataset/4d10e50a-8ff5-4319-999e-8294f6600781.

## **Dataset Ancestors**

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

* **Derived From** [CLM - AWRA Calibration Gauges SubCatchments](https://data.gov.au/data/dataset/af6476a5-02e7-4916-8151-504896729ce6)

* **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** [CLM - NSW Office of Water Gauge Data for Tweed, Richmond & Clarence rivers. Extract 20140901](https://data.gov.au/data/dataset/a4b5b711-57c4-4b02-bd8b-a05d7379f319)

* **Derived From** [CLM16swg Surface water gauging station data within the Clarence Moreton Basin](https://data.gov.au/data/dataset/1e4cdb84-10cf-4772-91fc-820688dc9aef)

* **Derived From** [CLM - NSW River Gauge pdf documents.](https://data.gov.au/data/dataset/ffc17844-006c-40e8-adcd-53e75efb530f)

* **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)

* **Derived From** [CLM - Streamflow unified NSW](https://data.gov.au/data/dataset/1e848ee6-4f79-469d-90c9-34596828b364)

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

Full description

CLM - Unified streamflow data (mm) for 9 catchments in NSW - 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

Clarence-Moreton bioregion | New South Wales | inlandWaters |

User Contributed Tags

Identifiers

Local : 4d10e50a-8ff5-4319-999e-8294f6600781
URI : data.gov.au/data/dataset/3c26df32-ed03-43c3-aa22-d94d5703391b