Water Modelling-Palaeo Stochastic Climate Data-Greater Sydney-Silo Station (ix of xi) ID 069001-070000
Data and Resources
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Data Quality Statement
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Data quality statement
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069006_BETTOWYND (CONDRY)_Rain
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Paleo-Stochastic Rain data for 3250 replicates for 069006 (BETTOWYND...
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069010_BRAIDWOOD (WALLACE STREET)_FAO56
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Paleo-Stochastic FAO56 data for 3250 replicates for 069010 (BRAIDWOOD...
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069010_BRAIDWOOD (WALLACE STREET)_Mlake
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Paleo-Stochastic Mlake data for 3250 replicates for 069010 (BRAIDWOOD...
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069010_BRAIDWOOD (WALLACE STREET)_Rain
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Paleo-Stochastic Rain data for 3250 replicates for 069010 (BRAIDWOOD (WALLACE...
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069010_BRAIDWOOD (WALLACE STREET)_Mwet
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Paleo-Stochastic Mwet data for 3250 replicates for 069010 (BRAIDWOOD (WALLACE...
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069016_MILTON (SARAH CLAYDON VILLAGE)_Rain
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Paleo-Stochastic Rain data for 3250 replicates for 069016 (MILTON (SARAH...
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069041_CHARLEYONG_FAO56
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Paleo-Stochastic FAO56 data for 3250 replicates for 069041 (CHARLEYONG); each...
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069041_CHARLEYONG_Mlake
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Paleo-Stochastic Mlake data for 3250 replicates for 069041 (CHARLEYONG); each...
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069041_CHARLEYONG_Rain
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Paleo-Stochastic Rain data for 3250 replicates for 069041 (CHARLEYONG); each...
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069041_CHARLEYONG_Mwet
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Paleo-Stochastic Mwet data for 3250 replicates for 069041 (CHARLEYONG); each...
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069049_NERRIGA COMPOSITE_FAO56
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Paleo-Stochastic FAO56 data for 3250 replicates for 069049 (NERRIGA...
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069049_NERRIGA COMPOSITE_Rain
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Paleo-Stochastic Rain data for 3250 replicates for 069049 (NERRIGA...
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069049_NERRIGA COMPOSITE_Mlake
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Paleo-Stochastic Mlake data for 3250 replicates for 069049 (NERRIGA...
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069049_NERRIGA COMPOSITE_Mwet
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Paleo-Stochastic Mwet data for 3250 replicates for 069049 (NERRIGA...
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069062_SNOWBALL_Rain
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Paleo-Stochastic Rain data for 3250 replicates for 069062 (SNOWBALL); each...
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069132_BRAIDWOOD RACECOURSE AWS_Rain
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Paleo-Stochastic Rain data for 3250 replicates for 069132 (BRAIDWOOD...
Additional Info
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Description | 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 - MIL |
S3 object key | |
Data Custodian | NSW Department of Climate Change, Energy, the Environment and Water |
Point of Contact | water.dataproducts@dpie.nsw.gov.au |
Access Rights | Open |
Security Classification | UNOFFICIAL |
Date Modified | 2024-02-26T13:33:43.820863 |
Access URL | https://datasets.seed.nsw.gov.au/dataset/water-modelling-palaeostochasticdata-greatersydney-069001-070000 |
Sensitive Data | |
File size | |
Legal Authority | |
Disposal | |
Publisher | NSW Department of Climate Change, Energy, the Environment and Water |
Keyword | WATER |
Resource Type | Dataset |
Temporal coverage from | 0001-01-01 |
Temporal coverage to | 9999-12-31 |
Update Frequency | Irregular |
Publish Date | Missing |
Purpose | Climate data is a fundamental input dataset required for water modelling. The stochastic climate data is 10,000 years of daily data representing the variability of the long-term climate at a location generated. The primary purpose of the stochastic climate data is to be used as input data for water modelling to analysis water related outcomes of river basins under long-term climate and inform the development of water policies, planning and strategies for water management. Climate data is a fund |
Location | textTable |
Language | English |
Licence | Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International |
Data Status | |
Data Source | https://datasets.seed.nsw.gov.au/dataset/water-modelling-palaeostochasticdata-greatersydney-069001-070000 |
Dataset DOI | |
Spatial Coverage |
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harvest_object_id | 7820a03b-7240-498e-a952-d9a4881dd178 |
harvest_source_id | 9028607c-05cb-4546-a451-a32cb42ee98f |
harvest_source_title | seed-harvester |
syndicated_id | fe3afc98-f816-4fe3-80d3-e8493ee1e5ff |