Annual updates for a batch of Modelled Data have been done in the SEED Portal

Type: 
Data updates
Topic: 
Announcement

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Recently, we've updated a batch of Water Modelling- Modelled Data, including Without Development, Long-term average annual extraction limit (LTAAEL) and Annual Permitted Take (APT). This is the first time the data has been updated annually. To ensure the reliability of this…
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Recently, we've updated a batch of Water Modelling- Modelled Data, including Without Development, Long-term average annual extraction limit (LTAAEL) and Annual Permitted Take (APT). 

This is the first time the data has been updated annually. To ensure the reliability of this work, we developed a new script tool.  

The new version of the modelled data covering 2022-2024 has been updated for 32 valleys.

These assets provide a 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 the 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). 

Please extend this announcement to any interested users.  

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Fred

Fred

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Overview

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 naming structure of the individual files is "Gauge number_watercourse@Gauge name". QA procedure as...
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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 naming structure of the individual files is "Gauge number_watercourse@Gauge name". QA procedure as described in the "Quality control for the modelled streamflow data.pdf" has been applied to each dataset.
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Open linked dataset

Dataset Resources

Download

Data Quality Statement

Data quality statement for Water Modelling-Modelled Data

Download PDF file, View dataset on SEED
Metadata Statement - Questionnaire - Modelled Data

Metadata Statement - Modelled Data - Applies to all included valley files

Download PDF file, 210754 mb View dataset on SEED
Quality control of streamflow data FINAL

This document outlines quality control processes for Streamflow data. Our quality control process consists of high-level checks to confirm that: • each streamflow time series has been assigned to the correct gauge • there are no major anomalies in the modelled data that suggest otherwise. The quality control process described here does not verify whether model calibration for rainfall-runoff model and river system models used to generate streamflow at selected locations is accurate. We assess calibration accuracy at various stages of model development via other processes.

Download PDF file, 453249 mb View dataset on SEED