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Method of last resort (MOLR) long term average annual recharge estimates across Australia

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Created 20/01/2025

Updated 20/01/2025

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This dataset (and the derivative 95% confidence interval for upper and lower datasets) were created by CSIRO and provides a spatial coverage of estimates of the long term average annual recharge estimates across Australia. It is based upon regression equations between soil order, vegetation type and long term average annual rainfall. More details on the method used to estimate this dataset are provided in the report: Leaney et al (2011) Recharge and discharge estimation in data poor areas: Scientific reference guide. CSIRO: Water for a Healthy Country National Research Flagship

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Title Method of last resort (MOLR) long term average annual recharge estimates across Australia
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/4f085c84-2b83-43ee-8a41-5ca8469f806a
Contact Point
Geoscience Australia
clientservices@ga.gov.au
Reference Period 22/04/2018
Geospatial Coverage {"type": "Polygon", "coordinates": [[[96.0, -44.0], [168.0, -44.0], [168.0, -9.0], [96.0, -9.0], [96.0, -44.0]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Method of last resort (MOLR) long term average annual recharge estimates across Australia". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/method-of-last-resort-molr-long-term-average-annual-recharge-estimates-across-australia

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