Stochastic Climate Data for Greater Sydney Water Modelling

10,000 replicates of 130-year daily rainfall and potential evapotranspiration data generated from observed climate records. This stochastic dataset was created by researchers at the University of Newcastle for the Greater Sydney Water Strategy. It covers specific SILO station locations such as Yerrinbool, Camden Airport, and Jamberoo.

Use Cases

• Assessing long-term water supply reliability based on 10,000 stochastic replicates of daily climate data.
• Modelling catchment hydrology using daily rainfall and potential evapotranspiration inputs.
• Performing climate risk analysis for water infrastructure planning in Greater Sydney.
• Calibrating and validating hydrological models with synthetic, statistically consistent climate sequences.

Strengths

• Contains 10,000 stochastic replicates, enabling robust probabilistic analysis.
• Each replicate provides 130 years of daily data for two key climate variables.
• Data is explicitly linked to 10 named SILO weather stations in the Greater Sydney region.

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 network.

Provenance

Source

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

Collection Method

Generated stochastically from observed climate data sets by University of Newcastle researchers.

Time Range

130-year synthetic daily sequences.

Freshness

Last updated 2026-05-13 01:54:07.058890; freshness should be verified.

Geography

Greater Sydney, Australia (specific SILO stations listed).