Data

Gippsland climate station zones

data.gov.au
Bioregional Assessment Program (Owned by)
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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/7032d78f-5638-418a-9066-84c441309373&rft.title=Gippsland climate station zones&rft.identifier=cf8bfe31-bd59-4d82-b5d5-4d1b5d39df42&rft.publisher=data.gov.au&rft.description=Gippsland climate station zones - Data File## **Abstract** \n\nThe dataset was derived by the Bioregional Assessment Programme from the national SILO data sets of climate station records. The parent dataset(s) is 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\nGippsland Product 2.1 Climate Data Geodatabase v01 \n\nThis geodatabase contains the climate data used in the Gippsland Basin bioregion. The data was extracted from the national SILO data sets for 199 climate stations in the Gippsland region. The geodatabase includes the following datasets (average daily values): climate zones, evaporation, radiation, rainfall, evapotranspiration, maximum temperature and minimum temperature. \n\n\n\nThe layer spatially represents the zones of influence attributed to climate stations for all 199 climate stations in in Gippsland areas, with meteorological data for the period 1957-2013.\n\n## **Purpose** \n\nTo spatially represent the zones of influence attributed to climate stations for all 199 climate stations in in Gippsland areas ,with meteorological data for the period 1957-2013.\n\n## **Dataset History** \n\nThe data was produced using ANUClim software (Hutchinson, 2001), using the interpolation methods discussed in Jeffery et al., 2001.\n\n\n\nFor a given climate station daily climate data is a combination of original measurements and rectified data to remove any gaps in the record using interpolation methods discussed in Jeffery et al. (2001). \\[Jeffrey S, Carter J, Moodie K and Beswick A (2001) Using spatial interpolation to construct a comprehensive archive of Australian climate data. Environmental Modelling and Software 16, 309 330.\\]\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (XXXX) Gippsland climate station zones. Bioregional Assessment Derived Dataset. Viewed 05 October 2018, http://data.bioregionalassessments.gov.au/dataset/cf8bfe31-bd59-4d82-b5d5-4d1b5d39df42.\n\n## **Dataset Ancestors** \n\n* **Derived From** [Gippsland Product 2.1 climate data geodatabase v01](https://data.gov.au/data/dataset/aa6108b8-a1d8-464c-9562-7d6a69304685)\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 Victoria (Department of Environment, Land, Water and Planning)&rft_subject=CLIMATE-AND-WEATHER&rft_subject=Gippsland Basin bioregion&rft_subject=Victoria&rft_subject=climatologyMeteorologyAtmosphere&rft.type=dataset&rft.language=English Access the data

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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 Victoria (department of Environment, Land, Water and Planning)

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 Victoria (Department of Environment, Land, Water and Planning)

Brief description

## **Abstract**

The dataset was derived by the Bioregional Assessment Programme from the national SILO data sets of climate station records. The parent dataset(s) is 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.



Gippsland Product 2.1 Climate Data Geodatabase v01

This geodatabase contains the climate data used in the Gippsland Basin bioregion. The data was extracted from the national SILO data sets for 199 climate stations in the Gippsland region. The geodatabase includes the following datasets (average daily values): climate zones, evaporation, radiation, rainfall, evapotranspiration, maximum temperature and minimum temperature.



The layer spatially represents the zones of influence attributed to climate stations for all 199 climate stations in in Gippsland areas, with meteorological data for the period 1957-2013.

## **Purpose**

To spatially represent the zones of influence attributed to climate stations for all 199 climate stations in in Gippsland areas ,with meteorological data for the period 1957-2013.

## **Dataset History**

The data was produced using ANUClim software (Hutchinson, 2001), using the interpolation methods discussed in Jeffery et al., 2001.



For a given climate station daily climate data is a combination of original measurements and rectified data to remove any gaps in the record using interpolation methods discussed in Jeffery et al. (2001). \\[Jeffrey S, Carter J, Moodie K and Beswick A (2001) Using spatial interpolation to construct a comprehensive archive of Australian climate data. Environmental Modelling and Software 16, 309 330.\\]

## **Dataset Citation**

Bioregional Assessment Programme (XXXX) Gippsland climate station zones. Bioregional Assessment Derived Dataset. Viewed 05 October 2018, http://data.bioregionalassessments.gov.au/dataset/cf8bfe31-bd59-4d82-b5d5-4d1b5d39df42.

## **Dataset Ancestors**

* **Derived From** [Gippsland Product 2.1 climate data geodatabase v01](https://data.gov.au/data/dataset/aa6108b8-a1d8-464c-9562-7d6a69304685)

Full description

Gippsland climate station zones - Data File

This dataset is part of a larger collection

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Spatial Coverage And Location

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

Subjects

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Identifiers
ACN 633 798 857