Dataset
NSW Department of Climate Change, Energy, the Environment and Water
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Water Modelling-Stochastic Climate Data-Greater Sydney-Silo Station (v of xi) ID 067021-068000

The stochastic climate data include 10,000 replicates of 130-yr daily data sets of rainfall and potential evapotranspiration generated using observed data sets without and with combined climate data. This work has been undertaken by researchers at the University of Newcastle and used in modelling for Greater Sydney Water Strategy.

This particular Asset (067021-068000) houses Silo Station IDs:

  • 067021 - RICHMOND - UWS HAWKESBURY
  • 067024 - ST MARYS BOWLING CLUB
  • 067026 - SEVEN HILLS (COLLINS ST)
  • 067029 - WALLACIA POST OFFICE
  • 067076 - QUAKERS HILL TREATMENT WORKS
  • 067084 - ORCHARD HILLS TREATMENT WORKS
  • 067086 - DURAL (OLD NORTHERN ROAD)
  • 067089 - WEST PENNANT HILLS (CUMBERLAND)

Note: If you would like to ask a question, make any suggestions, or tell us how you are using this dataset, please visit the NSW Water Hub which has an online forum you can join.

Data and Resources

Metadata Summary What is metadata?

Field Value
Language English
Edition 1.0
Purpose Climate data is a fundamental input dataset required for water modelling. The stochastic climate data is 10,000 years of daily data representing the variability of the long-term climate at a location generated. The primary purpose of the stochastic climate data is to be used as input data for water modelling to analysis water related outcomes of river basins under long-term climate and inform the development of water policies, planning and strategies for water management. Climate data is a fundamental input dataset required for water modelling. Rainfall and potential evapotranspiration are the two main types of climate required for the types of water models used for water planning. Temperature data is used in some of the water models (in particular for snowmelt modelling, water demand modelling). Climate data in daily temporal resolution is used as input data to water models of varying types, purposes, and complexity. The water models transform this input data to produce a range of water related modelled data. Stochastic climate data has been generated based on observed climate dataset combined with paleo-climatic information. The observed data is downloaded from the SILO data-base of Australian climate data (https://www.longpaddock.qld.gov.au/silo/), which has climate data from 1889-present based on instrumental records at thousands of climate stations. The stochastic data are 10,000-year daily data sets of each climate data at different climate stations.
Frequency of change As needed
Keywords WATER
Metadata Date 2023-10-06
Date of Asset Creation 2020-01-01
License Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Geospatial Topic Climatology meteorology atmosphere
NSW Place Name Greater Sydney
Extent

Dataset extent
Temporal Coverage From 0001-01-01 - 9999-12-31
Datum GDA94 Geographic (Lat\Long)
Legal Disclaimer Read
Attribution NSW Department of Climate Change, Energy, the Environment and Water asserts the right to be attributed as author of the original material in the following manner: "© State Government of NSW and NSW Department of Climate Change, Energy, the Environment and Water 2024"
Groups Department of Planning and Environment—Water