Export DataAccess API Metadata Portal Metadata Information Content TitleWater Modelling Palaeo Stochastic ClimateContent TypeOtherDescriptionWater Modelling Palaeo Stochastic ClimateInitial Publication Date28/08/2024Data Currency28/08/2024Data Update FrequencyAPIContent SourceAPIFile TypeImagery LayerAttributionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)GDA94Spatial Reference System (web service)OtherWGS84 Equivalent ToGDA94Spatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonStandard and SpecificationData CustodianNSW Department of Climate Change Energy, Environment and WaterPoint of ContactNSW Department of Climate Change Energy, Environment and WaterData AggregatorData DistributorAdditional Supporting InformationTRIM Number

Export DataAccess API Metadata Portal Metadata Information Content TitleWater Modelling RegionsContent TypeOtherDescriptionWater Modelling RegionsInitial Publication Date28/08/2024Data Currency28/08/2024Data Update FrequencyAPIContent SourceAPIFile TypeImagery LayerAttributionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)GDA94Spatial Reference System (web service)OtherWGS84 Equivalent ToGDA94Spatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonStandard and SpecificationData CustodianNSW Department of Climate Change Energy, Environment and WaterPoint of ContactNSW Department of Climate Change Energy, Environment and WaterData AggregatorData DistributorAdditional Supporting InformationTRIM Number

Export DataAccess API Metadata Portal Metadata Information Content TitleWater Modelling Modelled Data Without DevelopmentContent TypeOtherDescriptionData was updated by FME at 15:43 on 15/11/2023Initial Publication Date28/08/2024Data Currency28/08/2024Data Update FrequencyAPIContent SourceAPIFile TypeImagery LayerAttributionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)GDA94Spatial Reference System (web service)OtherWGS84 Equivalent ToGDA94Spatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonStandard and SpecificationData CustodianNSW Department of Climate Change Energy, Environment and WaterPoint of ContactNSW Department of Climate Change Energy, Environment and WaterData AggregatorData DistributorAdditional Supporting InformationTRIM Number

Export Data Water sharing plans (WSP) are established under the Water Management Act 2000 (the Act) and are prepared for all water sources in NSW. These plans are also a component of Water Resources Plans prepared as a requirement of the Basin Plan 2012, covering water sources in the Murray-Darling Basin.WSP's are reviewed and replaced periodically (usually every ten years) to ensure the long-term health of ecosystems and communities in specific WSP areas. The review of a WSP includes a formal evaluation to assess appropriateness, efficiency of implementation, effectiveness in meeting plan objectives, and alignment with the Act's requirements.The evaluation follows a step-by-step process which includes a model scenario to represent the effects of Planned Environmental Water (PEW) rules in the WSP.This high-level ("No PEW") scenario enables a comparison of modelled flows at key locations within the river system between scenarios WITH and WITHOUT plan environmental rules to inform an assessment of the effectiveness of the PEW rules in the WSP.For information about this feature class please see WATER MODELLING-ModelledData-NoPEW page in SEED website. Previous SEED service moved from 10.7 to 11. 1 Portal. Waiting for Metadata from DPIE. Metadata Portal Metadata Information Content TitleWater Modelling No Plan Environmental WaterContent TypeOtherDescriptionData was updated by FME at 10:23 on 11/07/2024Initial Publication Date28/08/2024Data Currency28/08/2024Data Update Frequency APIContent Source APIFile TypeImagery LayerAttributionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)GDA94Spatial Reference System (web service)OtherWGS84 Equivalent ToGDA94Spatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonStandard and SpecificationData CustodianNSW Department of Climate Change, Energy, Environment and WaterPoint of ContactNSW Department of Climate Change, Energy, Environment and WaterData AggregatorData DistributorAdditional Supporting InformationTRIM Number

Export Data Previous SEED service moved from 10.7 to 11. 1 Portal. Waiting for Metadata from DPIE. Access API Metadata Portal Metadata Information Content TitleWater Modelling Modelled Data Annual Permitted TakeContent TypeOtherDescriptionWater Modelling Modelled Data Annual Permitted TakeInitial Publication Date28/08/2024Data Currency28/08/2024Data Update Frequency APIContent Source APIFile TypeImagery LayerAttributionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)GDA94Spatial Reference System (web service)OtherWGS84 Equivalent ToGDA94Spatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonStandard and SpecificationData CustodianNSW Department of Climate Change, Energy, Environment and WaterPoint of ContactNSW Department of Climate Change, Energy, Environment and WaterData AggregatorData DistributorAdditional Supporting InformationTRIM Number

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.

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.

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 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.

Export DataAccess APIMetadata Portal Metadata InformationContent TitleWater Modelling Palaeo Stochastic ClimateContent TypeOtherDescriptionWater Modelling Palaeo Stochastic ClimateInitial Publication Date28/08/2024Data Currency28/08/2024Data Update FrequencyAPIContent SourceAPIFile TypeImagery LayerAttributionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)GDA94Spatial Reference System (web service)OtherWGS84 Equivalent ToGDA94Spatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonStandard and SpecificationData CustodianNSW Department of Climate Change Energy, Environment and WaterPoint of ContactNSW Department of Climate Change Energy, Environment and WaterData AggregatorData DistributorAdditional Supporting InformationTRIM Number

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.