Water Modelling-Palaeo Stochastic Climate Data: Greater Sydney Silo Stations

Palaeo stochastic climate data from the University of Newcastle includes 10,000 replicates of 130-year daily rainfall and potential evapotranspiration datasets for Greater Sydney. The data was generated using observed data with and without combined palaeo climate data and used for modelling in the Greater Sydney Water Strategy. This asset covers 15 specific SILO station IDs, such as Portland (Jamieson St) and Lithgow (Kylie Park).

Use Cases

• Stochastic water supply modelling based on 10,000 replicates of 130-year daily climate sequences.
• Assessing long-term hydrological risk based on palaeo-informed rainfall and evapotranspiration data.
• Calibrating water resource models for specific Greater Sydney locations based on the listed SILO station data.

Strengths

• Includes 10,000 stochastic replicates for robust probabilistic analysis.
• Covers a long synthetic period of 130 years of daily data.
• Data is informed by combined observed and palaeo climate records.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data freshness should be verified as the last update timestamp is in the future (2026-05-12).

Provenance

Source

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

Collection Method

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

Time Range

Synthetic 130-year daily sequences.

Freshness

Last updated 2026-05-12 18:35:41.213503

Geography

Greater Sydney region, specifically 15 listed SILO station locations.