Namoi AWRA-R (restricted input data implementation)

Abstract

The dataset was compiled by the Bioregional Assessment Programme from multiple sources referenced within the dataset and/or metadata. The processes undertaken to compile this dataset are described in the History field in this metadata statement.

Namoi AWRA-R (restricted input data implementation)

This dataset was supplied to the Bioregional Assessment Programme by DPI Water (NSW Government). Metadata was not provided and has been compiled by the Bioregional Assessment Programme based on known details at the time of acquisition. The metadata within the dataset contains the restricted input data to implement the Namoi AWRA-R model for model calibration or simulation. The restricted input contains simulated time-series extracted from the Namoi Integrated Quantity and Quality Model (IQQM) including: irrigation and other diversions (town water supply, mining), reservoir information (volumes, inflows, releases) and allocation information.

Each sub-folder in the associated data has a readme file indicating folder contents and providing general instructions about the use of the data and how it was sourced.

Detailed documentation of the AWRA-R model, is provided in: https://publications.csiro.au/rpr/download?pid=csiro:EP154523&dsid=DS2

Documentation about the implementation of AWRA-R in the Namoi bioregion is provided in BA NAM 2.6.1.3 and 2.6.1.4 products.

Purpose

The resource is used in the development of river system models.

Dataset History

This dataset was supplied to the Bioregional Assessment Programme by DPI Water (NSW Government). The data was extracted from the IQQM interface and formatted accordingly. It is considered a source dataset because the IQQM model cannot be registered as it was provided under a formal agreement between CSIRO and DPI Water with confidentiality clauses.

Dataset Citation

Bioregional Assessment Programme (2017) Namoi AWRA-R (restricted input data implementation). Bioregional Assessment Source Dataset. Viewed 12 March 2019, http://data.bioregionalassessments.gov.au/dataset/04fc0b56-ba1d-4981-aaf2-ca6c8eaae609.