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Water Modelling-Stochastic Climate Data-Murray

This stochastic climate dataset relates to the Murray region.

The stochastic data are 10,000-year daily data sets of rainfall and potential evapotranspiration generated using observed data sets combined with palaeo-logical climate data. This work has been undertaken by researchers at University of Adelaide and University of Newcastle and used in Regional Water Strategies.

The climate for each climate variable is uploaded as a single ZIP file, which includes three files:

  1. a .csv file of daily climate data of 10,000 years (format: date, data; filename starts with station ID)
  2. a pdf file of the meta data of the climate data describing the geographic location of the climate station, data type, period of observed data used for generating stochastic data, a location map.
  3. a pdf file of the quality assurance information.

The climate variables include one or more of the following: rainfall, evapotranspiration (Mwet: Morton’s wet area potential evapotranspiration, Mlake: Morton’s lake evaporation, Penman-Monteith reference evapotranspiration (FAO56)), Maximum temperature, Minimum temperature.

Note: Within each ZIP file, the number seen within the filename i.e. 9093_SILO_Rain.zip represents the Station ID Number 59093.

Data and Resources

    Water Modelling-Stochastic Climate Data

  • The fundamental input data of work undertaken by Water Modelling Team is climate data in the form of daily rainfall and potential evapotranspiration. This data is input to water...
    • SEED Web Map
    • PDF
    • PDF
    • Climatology meteorology atmosphere,
    • Climate Change perturbed,
    • Climate Data,
    • DPE - Water,
    • DPE - Water Analytics,
    • Observed Climate,
    • Stochastic Climate,
    • Water-Modelling,
    • modelling
    View Dataset Show on SEED Map
  • This stochastic climate dataset relates to the Western region. The stochastic data are 10,000-year daily data sets of rainfall and potential evapotranspiration generated using...
    • PDF
    • ZIP
    • Climatology meteorology atmosphere,
    • Climate Change perturbed,
    • Climate Data,
    • DPE - Water,
    • DPE - Water Analytics,
    • Observed Climate,
    • Stochastic Climate,
    • Water-Modelling,
    • modelling
    View Dataset
  • This stochastic climate dataset relates to the Murrumbidgee region. The stochastic data are 10,000-year daily data sets of rainfall and potential evapotranspiration generated...
    • PDF
    • ZIP
    • Climatology meteorology atmosphere,
    • Climate Change perturbed,
    • Climate Data,
    • DPE - Water,
    • DPE - Water Analytics,
    • Observed Climate,
    • Stochastic Climate,
    • Water-Modelling,
    • modelling
    View Dataset
  • This stochastic climate dataset relates to the Border Rivers region. The stochastic data are 10,000-year daily data sets of rainfall and potential evapotranspiration generated...
    • PDF
    • ZIP
    • Climatology meteorology atmosphere,
    • Climate Change perturbed,
    • Climate Data,
    • DPE - Water,
    • DPE - Water Analytics,
    • Observed Climate,
    • Stochastic Climate,
    • Water-Modelling,
    • modelling
    View Dataset
  • This stochastic climate dataset relates to the Gwydir region. The stochastic data are 10,000-year daily data sets of rainfall and potential evapotranspiration generated using...
    • PDF
    • ZIP
    • Climatology meteorology atmosphere,
    • Climate Change perturbed,
    • Climate Data,
    • DPE - Water,
    • DPE - Water Analytics,
    • Observed Climate,
    • Stochastic Climate,
    • Water-Modelling,
    • modelling
    View Dataset
  • This stochastic climate dataset relates to the Macquarie region. The stochastic data are 10,000-year daily data sets of rainfall and potential evapotranspiration generated using...
    • PDF
    • ZIP
    • Climatology meteorology atmosphere,
    • Climate Change perturbed,
    • Climate Data,
    • DPE - Water,
    • DPE - Water Analytics,
    • Observed Climate,
    • Stochastic Climate,
    • Water-Modelling,
    • modelling
    View Dataset
  • This stochastic climate dataset relates to the Far North Coast region. The stochastic data are 10,000-year daily data sets of rainfall and potential evapotranspiration generated...
    • PDF
    • ZIP
    • Climatology meteorology atmosphere,
    • Climate Change perturbed,
    • Climate Data,
    • DPE - Water,
    • DPE - Water Analytics,
    • Observed Climate,
    • Stochastic Climate,
    • Water-Modelling,
    • modelling
    View Dataset
  • This stochastic climate dataset relates to the Lachlan region. The stochastic data are 10,000-year daily data sets of rainfall and potential evapotranspiration generated using...
    • PDF
    • ZIP
    • Climatology meteorology atmosphere,
    • Climate Change perturbed,
    • Climate Data,
    • DPE - Water,
    • DPE - Water Analytics,
    • Observed Climate,
    • Stochastic Climate,
    • Water-Modelling,
    • modelling
    View Dataset
  • This stochastic climate dataset relates to the North Coast region. The stochastic data are 10,000-year daily data sets of rainfall and potential evapotranspiration generated...
    • PDF
    • ZIP
    • Climatology meteorology atmosphere,
    • Climate Change perturbed,
    • Climate Data,
    • DPE - Water,
    • DPE - Water Analytics,
    • Observed Climate,
    • Stochastic Climate,
    • Water-Modelling,
    • modelling
    View Dataset
  • This stochastic climate dataset relates to the South Coast region. The stochastic data are 10,000-year daily data sets of rainfall and potential evapotranspiration generated...
    • PDF
    • ZIP
    • Climatology meteorology atmosphere,
    • Climate Change perturbed,
    • Climate Data,
    • DPE - Water,
    • DPE - Water Analytics,
    • Observed Climate,
    • Stochastic Climate,
    • Water-Modelling,
    • modelling
    View Dataset
  • This stochastic climate dataset relates to the Namoi region. The stochastic data are 10,000-year daily data sets of rainfall and potential evapotranspiration generated using...
    • PDF
    • ZIP
    • Climatology meteorology atmosphere,
    • Climate Change perturbed,
    • Climate Data,
    • DPE - Water,
    • DPE - Water Analytics,
    • Observed Climate,
    • Stochastic Climate,
    • Water-Modelling,
    • modelling
    View Dataset
  • Data Quality StatementPDF

    Data quality statement

  • Murray zip filesZIP

    Contains all of the Stochastic Climate Data files within the Murray region....

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 2022-06-16
Date of Asset Creation 2022-10-25
Date of Asset Publication 2022-10-28
License Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Geospatial Topic Climatology meteorology atmosphere
NSW Place Name Murray
Extent

Dataset extent

Temporal Coverage From 0001-01-01 - 9999-12-31
Datum GDA94 Geographic (Lat\Long)
Legal Disclaimer Read
Attribution Department of Planning and Environment asserts the right to be attributed as author of the original material in the following manner: "© State Government of NSW and Department of Planning and Environment 2022"
Groups Department of Planning and Environment—Water