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Water Modelling-Modelled Data-Annual Permitted Take (APT)-Macquarie
NSW Department of Climate Change, Energy, the Environment and Water
Annual permitted take (APT) is a critical component of sustainable resource management, balancing the need for water resource utilisation with the preservation of ecosystems. It... -
Water Modelling-Palaeo Stochastic Climate Data-Lachlan
NSW Department of Climate Change, Energy, the Environment and Water
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... -
Customised ABS Census Data by Water Sharing Plan (WSP) regions
NSW Department of Climate Change, Energy, the Environment and Water
Secondary data are not available from ABS Agricultural and Population censuses for economic indicators and measures at a scale matching the NSW water sharing plan (WSP) regions.... -
Water Modelling-Modelled Data-Without Development
NSW Department of Climate Change, Energy, the Environment and Water
A without development model scenario is created by starting with a current conditions model scenario and switching off as much development in the model as possible. Typically... -
Water Modelling-Modelled Data-No Plan Environmental Water (No PEW) - Macquarie
NSW Department of Climate Change, Energy, the Environment and Water
To construct a high-level evaluation scenario for the Water Sharing Plan (the Plan) for the Macquarie and Cudgegong Regulated River Water Source all account-based Plan... -
NSW Combined Drought Indicator
The NSW Combined Drought Indicator (CDI) is used by the Department of Primary Industries and Regional Development (DPIRD) to classify drought in New South Wales. It integrates... -
Water Modelling-Palaeo Stochastic Climate Data-Greater Sydney-Silo Station...
NSW Department of Climate Change, Energy, the Environment and Water
The 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... -
Water Modelling-Modelled Data-Annual Permitted Take (APT)-Lachlan
NSW Department of Climate Change, Energy, the Environment and Water
Annual permitted take (APT) is a critical component of sustainable resource management, balancing the need for water resource utilisation with the preservation of ecosystems. It... -
Water Modelling-Modelled Data-Without Development-Castlereagh
NSW Department of Climate Change, Energy, the Environment and Water
Time series of modelled daily flow rates in megalitres per day across the NSW river systems – Castlereagh Valley. Individual for each available river gauge data sets are... -
Water Modelling-Modelled Data-Long-term average annual extraction limit...
NSW Department of Climate Change, Energy, the Environment and Water
Long-term average annual extraction limit (LTAAEL) is a regulatory limit set on annual water extractions from a river system. It ensures that average extractions over the long... -
Water Modelling-Water Models-Without Development-Macquarie
NSW Department of Climate Change, Energy, the Environment and Water
The Macquarie Without Development model covers the headwater catchments and river reaches of the Macquarie River basin. This includes the Macquarie River and explicit... -
Water Modelling-Modelled Data-Long-term average annual extraction limit...
NSW Department of Climate Change, Energy, the Environment and Water
Long-term average annual extraction limit (LTAAEL) is a regulatory limit set on annual water extractions from a river system. It ensures that average extractions over the long... -
Water Modelling-Stochastic Climate Data-Greater Sydney-Silo Station (viii of...
NSW Department of Climate Change, Energy, the Environment and Water
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... -
Water Modelling-Stochastic Climate Data-Greater Sydney
NSW Department of Climate Change, Energy, the Environment and Water
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... -
Water Modelling-Stochastic Climate Data-Greater Sydney-Silo Station (v of...
NSW Department of Climate Change, Energy, the Environment and Water
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... -
Water Modelling-Modelled Data-Without Development-Paterson
NSW Department of Climate Change, Energy, the Environment and Water
Time series of modelled daily flow rates in megalitres per day across the NSW river systems – Paterson Valley. Individual for each available river gauge data sets are attained... -
Water Modelling-Water Models-Without Development-Gwydir
NSW Department of Climate Change, Energy, the Environment and Water
The Gwydir River 'without development' model is a hydrological model of the Gwydir River system that does not represent river system infrastructure, extractions or water... -
Water Modelling-Modelled Data-Long-term average annual extraction limit...
NSW Department of Climate Change, Energy, the Environment and Water
Long-term average annual extraction limit (LTAAEL) is a regulatory limit set on annual water extractions from a river system. It ensures that average extractions over the long... -
Water Modelling-Palaeo Stochastic Climate Data-South Coast
NSW Department of Climate Change, Energy, the Environment and Water
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... -
Water Modelling-Stochastic Climate Data-Greater Sydney-Silo Station (iii of...
NSW Department of Climate Change, Energy, the Environment and Water
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...