Water Modelling-Stochastic Climate Data-Greater Sydney-Silo Station (i of xi) ID 061001-06

Greater Sydney stochastic climate data includes 10,000 replicates of 130-year daily rainfall and potential evapotranspiration datasets. This work was undertaken by researchers at the University of Newcastle and used in modelling for the Greater Sydney Water Strategy. The data covers specific Silo Station IDs, including HOWES VALLEY (KINDARUN) and WISEMANS FERRY (OLD PO).

Use Cases

• Generate stochastic climate scenarios for water security planning based on the 10,000 replicates of daily data.
• Model long-term hydrological impacts based on 130-year daily rainfall and evapotranspiration sequences.
• Assess water availability under climate uncertainty based on combined observed and generated climate data.
• Calibrate water system models for Greater Sydney based on station-specific data from listed Silo Stations.

Strengths

• Contains 10,000 stochastic replicates, providing a broad range of possible climate sequences.
• Covers a long-term period of 130 years of daily data for robust trend analysis.
• Generated using observed data sets, providing a foundation in real-world measurements.
• Specific station IDs are listed, allowing for geographically precise analysis.

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 Stations in Greater Sydney.

Provenance

Source

NSW Department of Climate Change, Energy, the Environment and Water; data generated by researchers at the University of Newcastle.

Collection Method

Stochastic generation using observed data sets without and with combined climate data.

Time Range

130-year daily sequences (specific calendar years not stated).

Freshness

Last updated 2026-05-13 04:51:51.395945; freshness should be verified.

Geography

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