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WATER MODELLING
The Department of Planning and Environment – Water is working to make models and data publicly available. These can be grouped into three high level categories: 1) Climate Data: The fundamental input for Water models is climate data in the form of daily rainfall and potential evapotranspiration. This data is input 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. There are three sub-categories of climate data used in our water models: observed data: The observed data is downloaded from the Silo database https://www.longpaddock.qld.gov.au/silo/ which has data from 1889-present based on recorded rainfall at thousands of locations, and derived data for various evapotranspiration data sets. We use patched-point rainfall, Morton’s wet area potential evapotranspiration, and Morton’s lake evaporation from Silo stochastic data: 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. stochastic data perturbed by results from climate models for projected greenhouse gas emission scenarios. The climate change perturbed data (1c) are 10,000-year daily data sets of rainfall and potential evapo-transpiration developed by combining the stochastic data with results reductions changes in climate based on results of the NARCliM climate models that show the greatest reductions in rainfall. Note: The Department does not own the IP of NARClim products to release any climate data (such as stochastic data perturbed) with NARClim climate projection. NARClim data is available on public domain for users to download directly such as https://climatedata-beta.environment.nsw.gov.au/ 2) Water Models: (Not yet released) There are three subcategories of water models that we develop and maintain with catchment models the fundamental unit. These can be linked to form pre-development models of river systems, which are further developed by adding water infrastructure, demands, and management arrangements to form a full unregulated or regulated river system model. 3) Modelled Data: (Partially released) The dataset comprises the outcomes generated by water models, encompassing a comprehensive array of findings pertaining to various aspects of the water balance. These findings encompass, but are not restricted to, factors such as flow, diversions, water storage, and allocations, with an initial emphasis on flow.
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Water Modelling-Palaeo Stochastic Climate Data
공공데이터포털
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 models of varying types, purposes, and complexity. The water models transform this input data to produce a range of water related modelled data. The stochastic data are 10,000-year daily data sets of rainfall and potential evapotranspiration generated using observed data sets combined with Palaeo climate data. This work has been undertaken by researchers at University of Adelaide and University of Newcastle and used in modelling for Regional Water Strategies. Stochastic Climate data is available to download at the Region level from the Related Datasets section below.
Water Modelling-Greater Sydney Stochastic and Palaeo Stochastic Climate Data
공공데이터포털
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 models of varying types, purposes, and complexity. The water models transform this input data to produce a range of water related modelled data. The stochastic climate data and palaeo 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 palaeo climate data. This work has been undertaken by researchers at the University of Newcastle and used in modelling for Greater Sydney Water Strategy. Stochastic Climate data and palaeo stochastic climate data are available to download for Greater Sydney region from the Related Datasets section below. 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.
Water Modelling-Palaeo Stochastic Climate Data-Murray
공공데이터포털
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: a .csv file of daily climate data of 10,000 years (format: date, data; filename starts with station ID) 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. 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.
Water Modelling-Palaeo Stochastic Climate Data-Gwydir
공공데이터포털
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 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: a .csv file of daily climate data of 10,000 years (format: date, data; filename starts with station ID) 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. 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.
Water Modelling-Palaeo Stochastic Climate Data-Gwydir
공공데이터포털
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 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:,
Water Modelling-Palaeo Stochastic Climate Data-Murrumbidgee
공공데이터포털
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 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: a .csv file of daily climate data of 10,000 years (format: date, data; filename starts with station ID) 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. 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.
Water Modelling-Stochastic Climate Data-Greater Sydney
공공데이터포털
The stochastic climate data and palaeo 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 palaeo climate data. This work has been undertaken by researchers at the University of Newcastle and used in modelling for Greater Sydney Water Strategy. 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.
Water Modelling-Palaeo Stochastic Climate Data-Namoi
공공데이터포털
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 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: a .csv file of daily climate data of 10,000 years (format: date, data; filename starts with station ID) 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. 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.
Water Modelling-Palaeo Stochastic Climate Data-Lachlan
공공데이터포털
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 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: a .csv file of daily climate data of 10,000 years (format: date, data; filename starts with station ID) 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. 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.
Water Modelling-Palaeo Stochastic Climate Data-Macquarie
공공데이터포털
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 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: a .csv file of daily climate data of 10,000 years (format: date, data; filename starts with station ID) 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. 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.