Water Modelling-Stochastic Climate Data-Greater Sydney-Silo Station (ii of xi) ID 063001-0

10,000 replicates of 130-year daily rainfall and potential evapotranspiration data for the Greater Sydney region. This stochastic climate data was generated by researchers at the University of Newcastle using observed data sets with and without combined climate data. It was used in modelling for the Greater Sydney Water Strategy.

Use Cases

• Stochastic water resource modelling based on 10,000 replicates of daily climate data.
• Assessing long-term drought and flood risks based on 130-year synthetic daily rainfall sequences.
• Calibrating hydrological models for Greater Sydney based on potential evapotranspiration data.
• Evaluating climate change impacts on water supply based on combined climate data scenarios.

Strengths

• 10,000 stochastic replicates provide a robust basis for probabilistic analysis.
• 130-year daily time series offer long-term climate perspectives.
• Data is explicitly tied to modelling for a major urban water strategy.

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 specific Silo Station locations listed.

Provenance

Source

NSW Department of Climate Change, Energy, the Environment and Water, with research by the University of Newcastle.

Collection Method

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

Time Range

130-year synthetic daily sequences.

Freshness

Last updated 2026-05-12 22:32:37.555663; freshness should be verified.

Geography

Greater Sydney region, specifically at listed Silo Station locations (e.g., Blackheath, Oberon, Lithgow).