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

130-year daily replicates of rainfall and potential evapotranspiration generated using observed and palaeo climate data. The dataset includes 10,000 stochastic replicates and was created by researchers at the University of Newcastle for the Greater Sydney Water Strategy. It was last updated on May 13, 2026, by the NSW Department of Climate Change, Energy, the Environment and Water.

Use Cases

• Stress-testing water supply models based on 10,000 stochastic climate replicates
• Assessing long-term drought and flood risks based on 130-year daily rainfall sequences
• Calibrating hydrological models using combined observed and palaeoclimate data
• Planning water infrastructure resilience based on potential evapotranspiration projections

Strengths

• Includes 10,000 stochastic replicates for robust probabilistic analysis
• Covers a long synthetic period of 130 years of daily data
• Integrates both observed historical data and palaeoclimate reconstructions
• Specifically developed for a major urban water strategy (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 seven listed Silo stations in the Greater Sydney region

Provenance

Source

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

Collection Method

Stochastic generation using observed and combined palaeoclimate data by University of Newcastle researchers

Time Range

130-year synthetic daily sequences

Freshness

Last updated 2026-05-13 07:55:36.081900

Geography

Greater Sydney region, specifically seven listed Silo stations (e.g., Braidwood, Milton, Nerriga)