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Water Modelling-Stochastic Climate Data-Greater Sydney-Silo Station (x of xi) ID 070001-070100
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Data quality statement
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Stochastic FAO56 data for 3250 replicates for 070002 (BANNABY (HILLASMOUNT));...
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Stochastic Mlake data for 3250 replicates for 070002 (BANNABY (HILLASMOUNT));...
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Stochastic Mwet data for 3250 replicates for 070002 (BANNABY (HILLASMOUNT));...
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Stochastic Rain data for 3250 replicates for 070002 (BANNABY (HILLASMOUNT));...
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Stochastic Rain data for 3250 replicates for 070012 (BUNGONIA (INVERARY...
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Stochastic Mwet data for 3250 replicates for 070012 (BUNGONIA (INVERARY...
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Stochastic Rain data for 3250 replicates for 070016 (CAPTAINS FLAT (FOXLOW...
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Stochastic Rain data for 3250 replicates for 070036 (LAKE BATHURST...
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Stochastic Mwet data for 3250 replicates for 070036 (LAKE BATHURST...
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Stochastic Rain data for 3250 replicates for 070040 (GOULBURN (CHERRYTON));...
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Stochastic Rain data for 3250 replicates for 070057 (BRAIDWOOD (KRAWARREE));...
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Stochastic Mwet data for 3250 replicates for 070057 (BRAIDWOOD (KRAWARREE));...
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Stochastic Rain data for 3250 replicates for 070060 (LOWER BORO...
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Stochastic Rain data for 3250 replicates for 070061 (MAJORS CREEK (THE OLD...
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Stochastic Rain data for 3250 replicates for 070063 (MARULAN (GEORGE ST));...
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Stochastic FAO56 data for 3250 replicates for 070071 (GOULBURN (POMEROY));...
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Stochastic Rain data for 3250 replicates for 070071 (GOULBURN (POMEROY));...
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Stochastic Mlake data for 3250 replicates for 070071 (GOULBURN (POMEROY));...
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Stochastic Mwet data for 3250 replicates for 070071 (GOULBURN (POMEROY));...
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Stochastic Rain data for 3250 replicates for 070077 (GOULBURN (SPRINGFIELD));...
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Stochastic Mwet data for 3250 replicates for 070077 (GOULBURN (SPRINGFIELD));...
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Stochastic Rain data for 3250 replicates for 070080 (TARALGA POST OFFICE);...
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All the stations in Greater Sydney area are shown in this State level map...
Data Quality Statement
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Metadata Summary What is metadata?
Field | Value |
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Language | English |
Edition | 1.0 |
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 fundamental input dataset required for water modelling. Rainfall and potential evapotranspiration are the two main types of climate required for the types of water models used for water planning. Temperature data is used in some of the water models (in particular for snowmelt modelling, water demand modelling). Climate data in daily temporal resolution is used as input data to water models of varying types, purposes, and complexity. The water models transform this input data to produce a range of water related modelled data. Stochastic climate data has been generated based on observed climate dataset combined with paleo-climatic information. The observed data is downloaded from the SILO data-base of Australian climate data (https://www.longpaddock.qld.gov.au/silo/), which has climate data from 1889-present based on instrumental records at thousands of climate stations. The stochastic data are 10,000-year daily data sets of each climate data at different climate stations. |
Frequency of change | As needed |
Keywords | WATER |
Metadata Date | 2023-10-06 |
Date of Asset Creation | 2020-01-01 |
License | Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International |
Geospatial Topic | Climatology meteorology atmosphere |
NSW Place Name | Greater Sydney |
Extent |
Dataset extent |
Temporal Coverage From | 0001-01-01 - 9999-12-31 |
Datum | GDA94 Geographic (Lat\Long) |
Legal Disclaimer | Read |
Attribution | NSW Department of Climate Change, Energy, the Environment and Water asserts the right to be attributed as author of the original material in the following manner: "© State Government of NSW and NSW Department of Climate Change, Energy, the Environment and Water 2024" |
Groups |
Department of Planning and Environment—Water
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