2 datasets found
  1. d

    Gippsland potential mean annual evaporation

    • data.gov.au
    • researchdata.edu.au
    • +1more
    zip
    Updated Nov 20, 2019
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    Bioregional Assessment Program (2019). Gippsland potential mean annual evaporation [Dataset]. https://data.gov.au/data/dataset/activity/33dc8c50-9eb8-41af-9b4b-a7ea7b3c908e
    Explore at:
    zip(4867208)Available download formats
    Dataset updated
    Nov 20, 2019
    Dataset provided by
    Bioregional Assessment Program
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

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

    Purpose

    To spatially represent interpolated potential mean annual evaporation (mm/yr) for the period 1957-2012- in Gippsland

    Dataset History

    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).

    To account for sparsely located climate stations within Gippsland, mean annual evaporation, were scaled to each solution point within the study area, according to interpolated the mean annual evaporation spatial layer, created using the ANUClim software (Hutchinson 2001).

    Dataset Citation

    Bioregional Assessment Programme (XXXX) Gippsland potential mean annual evaporation. Bioregional Assessment Derived Dataset. Viewed 05 October 2018, http://data.bioregionalassessments.gov.au/dataset/33dc8c50-9eb8-41af-9b4b-a7ea7b3c908e.

    Dataset Ancestors

  2. D

    Data from: WATER MODELLING

    • data.nsw.gov.au
    • researchdata.edu.au
    pdf, txt
    Updated Jun 19, 2024
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    NSW Department of Climate Change, Energy, the Environment and Water (2024). WATER MODELLING [Dataset]. https://www.data.nsw.gov.au/data/dataset/water-modelling
    Explore at:
    pdf, txtAvailable download formats
    Dataset updated
    Jun 19, 2024
    Dataset provided by
    Department of Climate Change, Energy, the Environment and Water of New South Waleshttps://www.nsw.gov.au/departments-and-agencies/dcceew
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    The Department of Planning and Environment – Water is working to make models and data publicly available. These can be grouped into three high level categories:

    1) Climate Data: The fundamental input for Water models is climate data in the form of daily rainfall and potential evapotranspiration. This data is input to water models of varying types, purposes, and complexity. The water models transform this input data to produce a range of water related modelled data. There are three sub-categories of climate data used in our water models:

    • observed data: The observed data is downloaded from the Silo database https://www.longpaddock.qld.gov.au/silo/ which has data from 1889-present based on recorded rainfall at thousands of locations, and derived data for various evapotranspiration data sets. We use patched-point rainfall, Morton’s wet area potential evapotranspiration, and Morton’s lake evaporation from Silo

    • stochastic data: The stochastic data are 10,000-year daily data sets of rainfall and potential evapotranspiration generated using observed data sets combined with palaeo-logical climate data. This work has been undertaken by researchers at University of Adelaide and University of Newcastle and used in Regional Water Strategies.

    • stochastic data perturbed by results from climate models for projected greenhouse gas emission scenarios. The climate change perturbed data (1c) are 10,000-year daily data sets of rainfall and potential evapo-transpiration developed by combining the stochastic data with results reductions changes in climate based on results of the NARCliM climate models that show the greatest reductions in rainfall. Note: The Department does not own the IP of NARClim products to release any climate data (such as stochastic data perturbed) with NARClim climate projection. NARClim data is available on public domain for users to download directly such as https://climatedata-beta.environment.nsw.gov.au/

    2) Water Models: (Not yet released) There are three subcategories of water models that we develop and maintain with catchment models the fundamental unit. These can be linked to form pre-development models of river systems, which are further developed by adding water infrastructure, demands, and management arrangements to form a full unregulated or regulated river system model.

    3) Modelled Data: (Partially released) The dataset comprises the outcomes generated by water models, encompassing a comprehensive array of findings pertaining to various aspects of the water balance. These findings encompass, but are not restricted to, factors such as flow, diversions, water storage, and allocations, with an initial emphasis on flow.

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Click to copy link
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Bioregional Assessment Program (2019). Gippsland potential mean annual evaporation [Dataset]. https://data.gov.au/data/dataset/activity/33dc8c50-9eb8-41af-9b4b-a7ea7b3c908e

Gippsland potential mean annual evaporation

Explore at:
zip(4867208)Available download formats
Dataset updated
Nov 20, 2019
Dataset provided by
Bioregional Assessment Program
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

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

Purpose

To spatially represent interpolated potential mean annual evaporation (mm/yr) for the period 1957-2012- in Gippsland

Dataset History

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).

To account for sparsely located climate stations within Gippsland, mean annual evaporation, were scaled to each solution point within the study area, according to interpolated the mean annual evaporation spatial layer, created using the ANUClim software (Hutchinson 2001).

Dataset Citation

Bioregional Assessment Programme (XXXX) Gippsland potential mean annual evaporation. Bioregional Assessment Derived Dataset. Viewed 05 October 2018, http://data.bioregionalassessments.gov.au/dataset/33dc8c50-9eb8-41af-9b4b-a7ea7b3c908e.

Dataset Ancestors

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