Data

Water Modelling-Stochastic Climate Data-Greater Sydney-Silo Station (ix of xi) ID 069001-070000

data.nsw.gov.au
NSW Department of Climate Change, Energy, the Environment and Water (Owner)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://data.nsw.gov.au/data/dataset/water-modelling-stochasticdata-greatersydney-069001-070000&rft.title=Water Modelling-Stochastic Climate Data-Greater Sydney-Silo Station (ix of xi) ID 069001-070000&rft.identifier=http://data.nsw.gov.au/data/dataset/water-modelling-stochasticdata-greatersydney-069001-070000&rft.publisher=data.nsw.gov.au&rft.description=Data Quality Statement069006_BETTOWYND (CONDRY)_Rain069010_BRAIDWOOD (WALLACE STREET)_FAO56069010_BRAIDWOOD (WALLACE STREET)_Mlake069010_BRAIDWOOD (WALLACE STREET)_Mwet069010_BRAIDWOOD (WALLACE STREET)_Rain069016_MILTON (SARAH CLAYDON VILLAGE)_Rain069041_CHARLEYONG_FAO56069041_CHARLEYONG_Mlake069041_CHARLEYONG_Rain069041_CHARLEYONG_Mwet069049_NERRIGA COMPOSITE_FAO56069049_NERRIGA COMPOSITE_Mlake069049_NERRIGA COMPOSITE_Rain069049_NERRIGA COMPOSITE_Mwet069062_SNOWBALL_Rain069132_BRAIDWOOD RACECOURSE AWS_RainMap View for data downloadThe 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 climate data. This work has been undertaken by researchers at the University of Newcastle and used in modelling for Greater Sydney Water Strategy.\r\n\r\nThis particular Asset (069001-070000) houses Silo Station IDs:\r\n\r\n-\t069006 - BETTOWYND (CONDRY)\r\n-\t069010 - BRAIDWOOD (WALLACE STREET)\r\n-\t069016 - MILTON (SARAH CLAYDON VILLAGE)\r\n-\t069041 - CHARLEYONG\r\n-\t069049 - NERRIGA COMPOSITE\r\n-\t069062 - SNOWBALL\r\n-\t069132 - BRAIDWOOD RACECOURSE\r\n\r\n-----------------------------------\r\n\r\nNote: 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.&rft.creator=Anonymous&rft.date=2024&rft.coverage=150.2,-34.23 150.2,-33.35 151.5,-33.35 151.5,-34.23 150.2,-34.23&rft_rights=cc-by-nc-nd-4.0&rft_subject=Climate Change perturbed&rft_subject=Climate Data&rft_subject=DCCEEW - Water&rft_subject=DCCEEW - Water Analytics&rft_subject=Observed Climate&rft_subject=Stochastic Climate&rft_subject=Water-Modelling&rft_subject=modelling&rft.type=dataset&rft.language=English Access the data
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Brief description

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 combined climate data. This work has been undertaken by researchers at the University of Newcastle and used in modelling for Greater Sydney Water Strategy.\r\n\r\nThis particular Asset (069001-070000) houses Silo Station IDs:\r\n\r\n-\t069006 - BETTOWYND (CONDRY)\r\n-\t069010 - BRAIDWOOD (WALLACE STREET)\r\n-\t069016 - MILTON (SARAH CLAYDON VILLAGE)\r\n-\t069041 - CHARLEYONG\r\n-\t069049 - NERRIGA COMPOSITE\r\n-\t069062 - SNOWBALL\r\n-\t069132 - BRAIDWOOD RACECOURSE\r\n\r\n-----------------------------------\r\n\r\nNote: 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.

Full description

Data Quality Statement
069006_BETTOWYND (CONDRY)_Rain
069010_BRAIDWOOD (WALLACE STREET)_FAO56
069010_BRAIDWOOD (WALLACE STREET)_Mlake
069010_BRAIDWOOD (WALLACE STREET)_Mwet
069010_BRAIDWOOD (WALLACE STREET)_Rain
069016_MILTON (SARAH CLAYDON VILLAGE)_Rain
069041_CHARLEYONG_FAO56
069041_CHARLEYONG_Mlake
069041_CHARLEYONG_Rain
069041_CHARLEYONG_Mwet
069049_NERRIGA COMPOSITE_FAO56
069049_NERRIGA COMPOSITE_Mlake
069049_NERRIGA COMPOSITE_Rain
069049_NERRIGA COMPOSITE_Mwet
069062_SNOWBALL_Rain
069132_BRAIDWOOD RACECOURSE AWS_Rain
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150.2,-34.23 150.2,-33.35 151.5,-33.35 151.5,-34.23 150.2,-34.23

150.85,-33.79

Subjects
Climate Change perturbed | Climate Data | DCCEEW - Water | DCCEEW - Water Analytics | Observed Climate | Stochastic Climate | Water-Modelling | modelling |

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