Water Modelling-Stochastic Climate Data: 10,000 Replicates for Greater Sydney

Stochastic climate data from the University of Newcastle includes 10,000 replicates of 130-year daily datasets for rainfall and potential evapotranspiration. This work was used in modelling for the Greater Sydney Water Strategy and is provided by the NSW Department of Climate Change, Energy, the Environment and Water. The data was last updated on 2026-05-13.

Use Cases

• Assess long-term water supply reliability based on stochastic rainfall replicates.
• Model hydrological impacts of climate variability using potential evapotranspiration data.
• Stress-test water infrastructure planning with 10,000 synthetic climate scenarios.
• Calibrate catchment models for specific Silo Station locations in Greater Sydney.

Strengths

• Contains 10,000 replicates, providing a large ensemble for uncertainty analysis.
• Covers a 130-year daily time series for long-term trend assessment.
• Includes data for eight specific Silo Station locations in Greater Sydney.

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

University of Newcastle researchers, NSW Department of Climate Change, Energy, the Environment and Water.

Collection Method

Generated using observed data sets without and with combined climate data.

Time Range

130-year daily time series (specific years not stated).

Freshness

Last updated 2026-05-13 01:22:35.811459; freshness should be verified.

Geography

Greater Sydney, Australia, specifically eight listed Silo Station locations.