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 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 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 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 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 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.

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.

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 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. This particular Asset (068021-068070) houses Silo Station IDs: 068022 - DAPTO BOWLING CLUB 068024 - DARKES FOREST (KINTYRE) 068030 - MITTAGONG (HIGH RANGE) 068033 - MITTAGONG (KIA ORA) 068036 - KANGAROO VALLEY (MAIN RD) 068044 - MITTAGONG (ALFRED STREET) 068045 - MOSS VALE (HOSKINS STREET) 068052 - PICTON COUNCIL DEPOT 068054 - ROBERTSON (CAALONG STREET) 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.

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.

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 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. This particular Asset (069001-070000) houses Silo Station IDs: 069006 - BETTOWYND (CONDRY) 069010 - BRAIDWOOD (WALLACE STREET) 069016 - MILTON (SARAH CLAYDON VILLAGE) 069041 - CHARLEYONG 069049 - NERRIGA COMPOSITE 069062 - SNOWBALL 069132 - BRAIDWOOD RACECOURSE 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.

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 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. This particular Asset (066001-067020) houses Silo Station IDs: 066047 - PENNANT HILLS (YARRARA ROAD) 066063 - WAHROONGA RESERVOIR 066124 - PARRAMATTA NORTH (MASONS DRIVE) 066129 - BEECROFT 067002 - CASTLEREAGH (CASTLEREAGH ROAD) 067010 - GLENORIE (OLD NORTHERN RD) 067014 - MAROOTA (OLD TELEGRAPH ROAD) 067015 - BRINGELLY (MARYLAND) 067019 - PROSPECT RESERVOIR 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.