Galilee Hydrological Response Variable (HRV) model

## **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.\n\nThe processes undertaken to produce this derived dataset are described in the History field in this metadata statement. \n\n\n\nThis dataset contains the scripts and files for the uncertainty analysis presented in product 262 Groundwater modelling for the Galilee subregion (Peeters et al. 2016)\n\n## **Purpose** \n\nBelow is a description of the various files in the dataset; for csv files the content is described, for python scripts the purpose, input and output is described.\n\n\n\n'GAL_AEM_dmax_Parameters.csv' describes the parameters used in the modelling, their transformation, minimum, maximum, distribution and corresponding mean and standard deviation of the distribution.\n\n'GAL_AEM_dmax_Posterior_Parameters.csv' has the parameter combinations that form the posterior parameter ensemble.\n\n\n\n'GAL_AEM_postprocess.py' reads and collates the model output from GAL_AEM_Model and results in following files:\n\n\n\n'GAL_AEM_dmax_Predictions.csv' describes the maximum drawdwon at the receptors (min,max,median)\n\n'GAL_AEM_dmax_PosteriorPredictions.csv' contains the posterior predictions for all receptors of maximum drawdown\n\n'GAL_AEM_tmax_Predictions.csv' describes the time to maximum drawdwon at the receptors (min,max,median)\n\n'GAL_AEM_tmax_PosteriorPredictions.csv' contains the posterior predictions for all rec\n\n## **Dataset History** \n\nThis dataset contains all the files and scripts of the uncertainty analysis reported in product 262 for the Galilee subregion (Peeters et al. 2016). The custom-made python scripts read and collate the simulated drawdown time series at the prediction nodes and the change in surface water groundwater flux computed by the Galilee Analytic Element model (dataset Galilee groundwater numerical modelling AEM models). The drawdown timeseries are summarised in maximum drawdown (dmax) and time to maximum drawdown (tmax). A total of 10,000 different parameter combinations are randomly sampled from the posterior probability distributions described in Peeters et al. (2016). The dmax and tmax values corresponding to these parameter combinations are further summarised in percentiles of dmax and tmax for each node. This is the information that is used to visualise the results in Peeters et al. (2016) and compute the sensitivity indices of the predictions to the parameters.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2016) Galilee Hydrological Response Variable (HRV) model. Bioregional Assessment Derived Dataset. Viewed 12 December 2018, http://data.bioregionalassessments.gov.au/dataset/facb2291-249c-4903-93ce-d9c3f83e7640.\n\n## **Dataset Ancestors** \n\n* **Derived From** [Surface Geology of Australia, 1:2 500 000 scale, 2012 edition](https://data.gov.au/data/dataset/4a91fff8-ed51-4994-b358-066497e25c8c)\n\n* **Derived From** [Geoscience Australia GEODATA TOPO series - 1:1 Million to 1:10 Million scale](https://data.gov.au/data/dataset/310c5d07-5a56-4cf7-a5c8-63bdb001cd1a)\n\n* **Derived From** [Galilee model HRV receptors gdb](https://data.gov.au/data/dataset/ee766aad-3849-4a5a-92b7-ff4098bd874e)\n\n* **Derived From** [Galilee groundwater numerical modelling AEM models](https://data.gov.au/data/dataset/2698f3c2-b8d4-4b4e-899c-d50e0e1aac1f)\n\n