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Water Modelling-Palaeo Stochastic Climate Data-Greater Sydney-Silo Station (x of xi) ID 070001-070100

Data and Resources

Additional Info

Identifier
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 (070001-070100) houses Silo Station IDs: - 070002 - BANNABY (HILLASMOUNT) - 070012 - BUNGONIA (INVERARY PARK) - 070016 - CA
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 2024-02-26T13:24:18.660278
Access URL https://datasets.seed.nsw.gov.au/dataset/water-modelling-palaeostochasticdata-greatersydney-070001-070100
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-070001-070100
Dataset DOI
Spatial Coverage
harvest_object_id 9b602a64-7eb6-49ab-af52-e59ac0220580
harvest_source_id 9028607c-05cb-4546-a451-a32cb42ee98f
harvest_source_title seed-harvester
syndicated_id 08be22cc-ad88-4f05-8ef6-6fcd55b1e358