Far North Coast Stochastic Climate Data for Water Modeling

10,000-year daily datasets of rainfall and potential evapotranspiration combine observed and palaeo-climatic data. Researchers at the University of Adelaide and University of Newcastle generated this data for Regional Water Strategies. Climate variables include rainfall, Morton's evapotranspiration variants, Penman-Monteith FAO56, and maximum/minimum temperature.

Use Cases

• Long-term water availability modeling based on stochastic rainfall and evapotranspiration data
• Climate risk assessment for water infrastructure based on 10,000-year daily simulations
• Calibrating hydrological models using Morton's wet area, lake, and point potential evapotranspiration variants
• Evaluating drought and flood probabilities using palaeo-climate informed stochastic sequences

Strengths

• 10,000-year daily time series provides extensive stochastic scenarios for extreme event analysis
• Includes multiple evapotranspiration calculation methods (Morton's variants and FAO56 Penman-Monteith)
• Each data file is accompanied by metadata and quality assurance PDF documents

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 Far North Coast region

Provenance

Source

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

Collection Method

Generated by researchers at the University of Adelaide and University of Newcastle using observed datasets combined with palaeo-climatic data.

Time Range

10,000-year simulated daily time series.

Freshness

Last updated 2026-03-18 04:05:20.593110

Geography

Far North Coast region.