Stochastic Climate Data for Water Modelling in Greater Sydney

10,000 replicates of 130-year daily rainfall and potential evapotranspiration data generated by University of Newcastle researchers. This data was used for modelling in the Greater Sydney Water Strategy. The dataset covers 12 specific Silo Station locations, including Bannaby, Bungonia, and Goulburn.

Use Cases

• Generate probabilistic water supply forecasts based on stochastic rainfall replicates.
• Assess long-term drought risk for Greater Sydney based on 130-year daily climate sequences.
• Calibrate hydrological models using potential evapotranspiration data.
• Perform climate stress-testing for water infrastructure using 10,000 different climate realizations.

Strengths

• Contains 10,000 distinct stochastic replicates, enabling robust probabilistic analysis.
• Covers a long 130-year daily time series for each replicate.
• Includes data for 12 specific station locations listed in the description.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to the selected Silo Station locations.

Provenance

Source

NSW Department of Climate Change, Energy, the Environment and Water

Collection Method

Generated using observed climate data sets by researchers at the University of Newcastle.

Time Range

130-year daily sequences (specific calendar years not stated).

Freshness

Last updated 2026-05-13 05:08:10.725614; freshness should be verified.

Geography

Greater Sydney region, specifically 12 listed Silo Station locations in New South Wales, Australia.