From data.gov.au
JSON format icon JSON RDF format icon RDF ISO19115-3 XML

Pilot points for prediction interpolation of layer 1 in CLM groundwater model

Created 10/07/2017

Updated 13/04/2022

JSON format icon JSON RDF format icon RDF ISO19115-3 XML

Abstract

This dataset was created within the Bioregional Assessment Programme for modelling purposes. Data has not been derived from any source datasets. Metadata has been compiled by the Bioregional Assessment Programme.

This dataset contains pilot points for prediction interpolation in the CLM groundwater model.

Dataset History

For the receptors in the uppermost layer of the model, emulators were only trained for 982 pilot points. These pilot points were selected using a bivariate normal distribution with mean centered on the CSG development with slightly manual adjustment. Predictions at other locations were interpolated based on the prediction at these pilot points.

Processing steps:

  1. 1200 Pilot points were generated using a bivariate normal distribution with mean centered on the centre of CSG development.

  2. Remove redundant pilot points so that there are no multiple points within the same grid cell.

Dataset Citation

Bioregional Assessment Programme (2015) Pilot points for prediction interpolation of layer 1 in CLM groundwater model. Bioregional Assessment Source Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/e5d7d69a-629a-467d-87db-dd792808fca4.

Files and APIs

Tags

Additional Info

Field Value
Title Pilot points for prediction interpolation of layer 1 in CLM groundwater model
Language eng
Licence Not Specified
Landing Page https://data.gov.au/data/en/dataset/4a2bdffc-6010-4100-9d95-ac0d7cfe8f5b
Contact Point
Bioregional Assessment Program
bioregionalassessments@environment.gov.au
Reference Period 10/07/2017
Geospatial Coverage POLYGON ((0 0, 0 0, 0 0, 0 0))
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Pilot points for prediction interpolation of layer 1 in CLM groundwater model". Please visit the source to access the original metadata of the dataset:
https://data.gov.au/data/dataset/e5d7d69a-629a-467d-87db-dd792808fca4