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NAM GCM ranking


The 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. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

A table showing GCM (Global climate models) rankings for the Namoi subregion.


The ranking of GCM was created to select the model that produced median changes in precipitation. The selected model was used to predict future rainfall for the years 2013 to 2102.

Dataset History

A total of 15 global climate model (GCM) was tested to identify the best GCM to predict future climate data for the Namoi subregion. The objective in developing a future climate series was to choose the set of GCM's seasonal scaling factors that give the median change in mean annual precipitation. Four seasonal scaling factors for the seasons: summer (December-February), autumn (March-May), winter (June-August) and spring (September-November) were used to predict changes in precipitation in the Namoi subregion under future climate. For each GCM the change in mean seasonal precipitation for 1 degree global warming was calculated. These seasonal changes were summed to get the change in mean annual precipitation. Based on resulting changes in mean annual precipitation for a 1 degree global warming the GCMs were ranked in ascending order. The GCM that produced median change in annual mean precipitation was selected to predict the future precipitation in the Namoi subregion for the years 2013 to 2102.

Dataset Citation

Bioregional Assessment Programme (2016) NAM GCM ranking. Bioregional Assessment Derived Dataset. Viewed 12 March 2019, http://data.bioregionalassessments.gov.au/dataset/1dcf1b27-9a58-47ed-ac20-3b988391ea84.

Dataset Ancestors

Data and Resources

Additional Info

Field Value
Title NAM GCM ranking
Type Dataset
Language eng
Licence Creative Commons Attribution 4.0 International, http://creativecommons.org/licenses/by/4.0/, (c) Commonwealth of Australia (Bioregional Assessment Programme http://www.bioregionalassessments.gov.au)
Data Status active
Update Frequency never
Landing Page https://data.gov.au/data/dataset/4c8883c6-ed7b-4cad-afd4-7f2bbda01d97
Date Published 2019-03-12
Date Updated 2022-04-13
Contact Point
Bioregional Assessment Program
Temporal Coverage 2019-03-12 00:00:00
Geospatial Coverage POLYGON ((0 0, 0 0, 0 0, 0 0))
Jurisdiction New South Wales
Data Portal data.gov.au
Publisher/Agency Bioregional Assessment Program