Water Modelling-Modelled Data
Data and Resources
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Data Quality Statement
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Data quality statement for Water Modelling-Modelled Data
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Metadata Statement - Questionnaire - Modelled Data
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Metadata Statement - Modelled Data - Applies to all included valley files
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Quality control of streamflow data FINAL
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This document outlines quality control processes for Streamflow data. Our...
Additional Info
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Description | Time series of modelled daily flow rates in megalitres per day across the NSW river systems. Individual data sets are for each available river gauge data sets are attained via best available at the time of publishing hydrologic model/s and over the historic climate period (usually from early to mid-1890s to a water year previous to the date of publishing). Specific scenario data sets are expected to be updated annually and subject to quality requirements may be used in relevant studies. The n |
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 | 2024-02-26T12:58:37.765982 |
Access URL | https://datasets.seed.nsw.gov.au/dataset/water-modelling-modelled-data |
Sensitive Data | |
File size | |
Legal Authority | |
Disposal | |
Publisher | NSW Department of Climate Change, Energy, the Environment and Water |
Keyword | WATER,WATER-Surface |
Resource Type | Dataset |
Temporal coverage from | 1895-01-01 |
Temporal coverage to | 2022-06-30 |
Update Frequency | Irregular |
Publish Date | Missing |
Purpose | Water Modelling and Analysis |
Location | non_geospatial |
Language | English |
Licence | Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International |
Data Status | |
Data Source | https://datasets.seed.nsw.gov.au/dataset/water-modelling-modelled-data |
Spatial Coverage |
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harvest_object_id | efa0c53c-da67-4881-9859-fcf25a95a9bc |
harvest_source_id | 9e7470f6-c547-4e3b-b9d6-4004873c315c |
harvest_source_title | seed-harvester |
syndicated_id | 30d23029-9baf-4e2a-8af7-15bc89928342 |