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

Created 17/10/2025

Updated 17/10/2025

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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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Additional Info

Field Value
Title Method of last resort (MOLR) long term average annual recharge estimates across Australia
Language eng
Licence Not Specified
Landing Page https://data.gov.au/data/dataset/1debb517-1f94-44d1-8f6e-f860e0bf60c0
Contact Point
Geoscience Australia Data
clientservices@ga.gov.au
Reference Period 22/04/2018
Geospatial Coverage
Map data © OpenStreetMap contributors
{
  "coordinates": [
    [
      [
        96.0,
        -44.0
      ],
      [
        168.0,
        -44.0
      ],
      [
        168.0,
        -9.0
      ],
      [
        96.0,
        -9.0
      ],
      [
        96.0,
        -44.0
      ]
    ]
  ],
  "type": "Polygon"
}
Data Portal Geoscience Australia

Data Source

This dataset was originally found on Geoscience Australia "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://ecat.ga.gov.au/geonetwork/srv/eng/csw/dataset/method-of-last-resort-molr-long-term-average-annual-recharge-estimates-across-australia