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.

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 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 Lower North Coast and Hunter 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 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 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.

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.

This Palaeo 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 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 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:,

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.

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.