AndreaBozzo/ceres-open-data-index huggingface dataset:
Water Modelling-Modelled Data-Regional Water Strategy-Lachlan

The datasets provided contain modelled daily streamflow, and storage volume data for several NSW river systems. These data were generated by simulating baseline river system models used to inform the development of Regional Water Strategies. The models were simulated for three different climate scenarios: instrumental climate (about 130 years), paleo-stochastic climate (about 10,000 years), and paleo-stochastic climate with climate projection based on NARCliM 1.0 (about 10,000 years).

Each modelled output is published as a ZIP file which contains two pdf files (.pdf) and three time series data (.csv).

For more information on the NSW regional water strategies program, please refer to the following website. https://www.dpie.nsw.gov.au/water/our-work/plans-and-strategies/regional-water-strategies



The naming structure of the individual zip files is "Watercourse at Gauge name, followed by Gauge number".

1) Bumbuggan Creek at Offtake Gauge 412017_NARCliM

2) Fairholme Gauge 412023_NARCliM

3) Goobang Creek at Condobolin Gauge 412014_NARCliM

4) Lachlan River at Belubula Gauge 412033_NARCliM

5) Lachlan River at BooberoiWeir Gauge 412021_NARCliM

6) Lachlan River at Booligal Gauge 412005_NARCliM

7) Lachlan River at Cargel Gauge 412011_NARCliM

8) Lachlan River at CondobolinWeir Gauge 412034_NARCliM

9) Lachlan River at Corrong Gauge 412045_NARCliM

10) Lachlan River at Cowra Gauge 412002_NARCliM

11) Lachlan River at DSJemalong Weir Gauge 412036_NARCliM

12) Lachlan River at Forbes Gauge 412004_NARCliM

13) Lachlan River at Hillston Weir Gauge 412039_NARCliM

14) Lachlan River at Nanami Gauge 412057_NARCliM

15) Lachlan River at Oxley Gauge 412026_NARCliM

16) Lachlan River at Reids Flat Gauge 412027_NARCliM

17) Lachlan River at USWillandraWeir Gauge 412038_NARCliM

18) Lachlan River at Whealbah Gauge 412078_NARCliM

19) Lachlan River at Wyangala Gauge 412067_NARCliM

20) Wyangala Dam-Volume



Note: If you would like to ask a question, make any suggestions, or tell us how you are using this dataset, please visit the <a href="https://water-hub.seed.nsw.gov.au/thread/search">NSW Water Hub which has an online forum</a> you can join.

Tags: DCCEEW - Water, DCCEEW - Water Analytics, RWS, modelling, surface water
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Woolooware Bay Flood Study Reports

This Flood Study has been prepared by WMAwater (formally Webb, McKeown &amp; Associates) on behalf of Sutherland Shire Council (Council). The main objective of this study is to define the flood behaviour in the Woolooware Bay catchment (the catchment) under existing conditions.

This study has examined past flood events in addition to undertaking a flood assessment for a range of design storms. The findings in this report provide information to inform Council with regards to managing existing and future flood risk within the catchment.

The information and results obtained from this Flood Study will define existing flood behaviour and provide a firm basis for the development of a subsequent Floodplain Risk Management Study and Plan. A variety of flood mechanisms including mainstream flooding, local overland flow flooding and tidal inundation were considered.

In addition to defining the flood behaviour (5 year, 10 year, 20 year, 50 year, 100 year, 200 year ARI events and the Probable Maximum Flood (PMF)) in the Woolooware Bay catchment, the study was developed to:

*Define flood behaviour in terms of flood levels, depths, velocities, flows and flood extents within the study area;

*Provide provisional flood hazard and flood extent mapping (for all design events modelled); and

*Consider the potential effects of a climate change induced increase in design rainfall intensities and sea level rise in accordance with the NSW Government Guidelines.

Tags: Sutherland Shire, Woolooware Bay
Organization: Sutherland Shire Council
Language participation for Years 7-9 by gender and school year (2012-2021 and 2023 - 2024)

<strong>Data Notes:</strong>
<ul>
<li>

The data only includes students learning a language on average for more than 1 hour per week for 35 or more weeks a year.
</li>
<li>

Includes students studying a language through the Secondary College of Languages (formerly Saturday School of Community Languages).
</li>
<li>

In 2021, the Language Participation Collection for Years 7-9 students was moved from August to May.
</li>
<li>

Programs in Languages other than English for Years K-6 and the Language Participation for Years 7-9 data collections were not conducted in 2022, in line with the department’s commitment to “clear the decks” for schools in Term 2 2022.
</li>
<li>

Reporting by non-binary gender is not possible due to system limitations.
</li>
</ul>

<strong>Data Source:</strong>
<ul>
<li>Language data collections conducted in May each year. Centre for Education Statistics and Evaluation.</li>
</ul>

Tags: government-schools, learning-management, level-state, secondary-school
Organization: NSW Department of Education
Morris Gully Catchment Flood Study

Study Area

The study area is located in south west Sydney and includes parts of the suburbs of Revesby
Heights, Revesby, Panania and Picnic Point. It is an urban catchment that drains in a south-easterly
direction through a stormwater pipe network to the Georges River. The Morris Gully catchment is
wholly within the southern section of Bankstown City Council (LGA).

Outcomes from the Study

The main outcomes from this study include:
<ul>
<li>A database of all Council drainage assets within the study area;</li>
<li>Establishment of a computer model capable of assessing flood behaviour;</li>
<li>Information on flood behaviour under existing catchment conditions;</li>
<li>Predicted change in flood levels due to the potential impacts of climate change; and</li>
<li>A model that can be used to assess flood mitigation options and future development
proposals.</li>
</ul>

Database of Drainage Assets

All drainage asset data collected by Council for the study have been incorporated into a GIS
database. This allows the data to be spatially represented across the study area and easily retrieved
as required. Information in the database includes data for some 300 stormwater pits and 390
stormwater drainage pipes.

Other catchment data, including aerial photography, property cadastre, building footprints and the
terrain surface (based on ALS survey) is also incorporated into a GIS database.

Computer Modelling

A numerical computer model was developed for the catchment to simulate flood behaviour, using the
software TUFLOW. Surface flows are represented in the model through a two-dimensional grid
covering the entire study area. The stormwater pit and pipe network is included as one-dimensional
elements within this grid. Full details of the modelling approach, modelling parameters and other
assumptions are outlined in the Morris Gully Catchment Flood Modelling Report, which is included as
Appendix C.

Existing Flood Behaviour

Design flood behaviour has been computed for a range of floods, ranging from relatively frequent
events to more extreme floods.

The model produces a grid of results over the study area providing data on flood levels, flood depths
and flood velocities. Flood level contours have also been prepared showing contours of flood heights
throughout the study area. This data is provided digitally and can be overlaid on base mapping such
as aerial photos and cadastral plans showing property boundaries.

All flood model results have been provided to Council for incorporation into their GIS database. Much
of this information is also included as A4 sized plans included in Appendix C.

It is understood that once the Flood Study has been adopted by Council, the GIS information
resulting from this Flood Study will be used for floodplain management purposes, including
assessment of flood-related development constraints on properties. Potential flood mitigation options
will be assessed in the Floodplain Risk Management Study phase of the floodplain risk management
process.

Tags: Morris Gully Catchment, Panania, Picnic Point, Revesby, Revesby Heights, hydraulic model
Organization: Canterbury-Bankstown Council
Water Modelling-Water Models-Without Development-Peel

The Peel River 'without development' model is a hydrological model of the Peel River system that does not represent river system infrastructure, extractions or water management rules.

Note: Source software (available from <a href="https://ewater.org.au/products/ewater-source/">ewater.org.au</a>) is required to view and run the model(s) within.  



Note: If you would like to ask a question, make any suggestions, or tell us how you are using this dataset, please visit the <a href="https://water-hub.seed.nsw.gov.au/thread/search">NSW Water Hub which has an online forum</a> you can join.

Tags: DCCEEW - Water, DCCEEW - Water Analytics, SURFACE WATER, modelling
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Enrolments in support classes and schools for specific purposes (SSPs) by category (2011-2024)

Enrolments of students in support classes and in schools for specific purposes by category.

<strong>Data Notes:</strong>
<ul>
<li>

Schools for Specific Purposes (SSPs) are for students with specific needs. Students in SSPs are reported according to the type of specific need rather than by their year of schooling. Students with multiple disabilities are reported according to their main disability. 
</li>
<li>

Most SSPs have permanent enrolments and include schools for students with intellectual (mild, moderate and severe) and physical disabilities, visual or hearing impairment, behaviour disorders or emotional disturbance, and students in juvenile justice centres. 
</li>
<li>

Some SSPs have no permanent enrolments because the children temporarily attending them are enrolled and counted in their own schools. These are mainly hospital schools. Some students with specific needs are enrolled in support classes in primary, secondary and central schools. Students enrolled in support classes are reported according to the type of specific need rather than by their year of schooling. Support classes for students of mixed abilities are classified according to the predominant type of specific need present in the class.
</li>
<li>

Students in SSPs, except those in juvenile justice schools, are reported by the type of support class they are enrolled in, not by the type of SSP.
</li>
<li>

From 2020, students in mainstream support classes are reported by their underlying grade of enrolment.
</li>
<li>

Data has been confidentialised where necessary to suppress enrolments of 5 or fewer students, indicated by an asterisk (*).
</li>
</ul>

<strong>Data Source:</strong>
<ul>
<li>Education Statistics and Measurement, Centre for Education Statistics and Evaluation.</li>
</ul>

Tags: disability-education, level-state, primary-school, secondary-school, student-administration-and-wellbeing
Organization: NSW Department of Education
WATER MODELLING

The Department of Planning and Environment – Water is working to make models and data publicly available. These can be grouped into three high level categories: 

1)  Climate Data: The fundamental input for Water models is climate data in the form of daily rainfall and potential evapotranspiration. This data is input 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. There are three sub-categories of climate data used in our water models: 
<ul>
<li>

<strong>observed data</strong>: The observed data is downloaded from the Silo database https://www.longpaddock.qld.gov.au/silo/ which has data from 1889-present based on recorded rainfall at thousands of locations, and derived data for various evapotranspiration data sets. We use patched-point rainfall, Morton’s wet area potential evapotranspiration, and Morton’s lake evaporation from Silo
</li>
<li>

<strong>stochastic data</strong>: The stochastic data are 10,000-year daily data sets of rainfall and potential evapotranspiration generated using observed data sets combined with palaeo-logical climate data. This work has been undertaken by researchers at University of Adelaide and University of Newcastle and used in Regional Water Strategies.
</li>
<li>

<strong>stochastic data perturbed</strong> by results from climate models for projected greenhouse gas emission scenarios. The climate change perturbed data (1c) are 10,000-year daily data sets of rainfall and potential evapo-transpiration developed by combining the stochastic data with results reductions changes in climate based on results of the NARCliM climate models that show the greatest reductions in rainfall. Note: The Department does not own the IP of NARClim products to release any climate data (such as stochastic data perturbed) with NARClim climate projection.  NARClim data is available on public domain for users to download directly such as https://climatedata-beta.environment.nsw.gov.au/
</li>
</ul>

2)  Water Models: (Not yet released) There are three subcategories of water models that we develop and maintain with <strong>catchment models</strong> the fundamental unit. These can be linked to form <strong>pre-development models</strong> of river systems, which are further developed by adding water infrastructure, demands, and management arrangements to form a full <strong>unregulated or regulated river system model</strong>.

3)  Modelled Data: (Partially released) The dataset comprises the outcomes generated by water models, encompassing a comprehensive array of findings pertaining to various aspects of the water balance. These findings encompass, but are not restricted to, factors such as flow, diversions, water storage, and allocations, with an initial emphasis on flow.

Tags: Climate Change perturbed, Climate Data, DCCEEW - Water, DCCEEW - Water Analytics, Observed Climate, Stochastic Climate, Water-Modelling, modelling
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Sugarloaf Creek Catchment Floodplain Risk Management Study and Plan

Detailed risk management measures to do with flood modification measures, property, emergency management, urban design are outlined.
This was done utilising data from DRAINS hydrologic and hydraulic model and the output discharge hydrographs. Upstream flows were converted into flood levels and velocities using a TUFLOW hydraulic model.

Tags: Castlecrag, Sugarloaf Bay, Sugarloaf Creek Catchment, Willoughby, Willoughby North
Organization: Willoughby City Council
Water Modelling-Water Models

Water Models are comprehensive tools developed to simulate the behaviour of river systems under various conditions and scenarios. These models are essential for understanding and managing water resources, as they integrate a wide range of data inputs, including climate, hydrology, and human interventions. The following two categories of water models are available here:
<ul>
<li>

<strong>catchment models</strong>: catchment models, which focus on the natural hydrological processes within a catchment area;
</li>
<li>

<strong>pre-development models</strong>: pre-development models, which simulate river systems before any water infrastructure or management practices were implemented.
</li>
</ul>

Tags: DCCEEW - Water, DCCEEW - Water Analytics, modelling, surface water
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Climate Vulnerability Assessment: Spotted Mackerel

The <strong>Climate Vulnerability Assessment</strong> was designed to provide an overview of the impact of future climate change on all stages of production for the commodities and biosecurity risks assessed. The project used multicriteria analysis (MCA) models to produce assessments for the commodities and biosecurity risks in a consistent and comparable way, and a framework was developed to provide a rigorous, flexible and transparent process for assessing vulnerabilities and opportunities to climate change. Details of the approach and the climate data used in the assessments can be found in the <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment/publications-and-reports">Methodology Report</a> which also details model exclusions and assumptions.

Assessments were undertaken on commodities grouped into 6 nodes: <em>Horticulture and Viticulture</em>, <em>Broadacre Cropping</em>, <em>Forestry</em>, <em>Extensive Livestock</em>, <em>Marine Fisheries</em>, as well as for a set of biosecurity risks related to these primary industry sectors. The <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment/publications-and-reports">Summary Report</a> gives details of the chosen commodities and biosecurity risks and summarises the high-level results.

Results Reports for each commodity and biosecurity risk are being released. Visit the <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment">project's web pages</a> to access these reports and for further information.

This dataset contains maps of modelled climate suitability for the <strong>Spotted Mackerel</strong> model in the Marine Fisheries node of the DPIRD Climate Vulnerability Assessment. Maps are provided (in GeoTIFF format) for each element of the model: the climate suitability for each season, climate suitability maps for each phenophase and also for each phenophase/climate variable combination in the model. Data is provided for each of the five global climate models (GCMs) used for the Marine Fisheries node, as well as the climate suitability derived from historical observations, along with the ensemble median for each map.

Tags: climate change, climate vulnerability assessment, marine fisheries, planning
Organization: Department of Primary Industries and Regional Development (DPIRD)
Board Developed Course enrolments in Year 10 subjects in NSW government schools (2013-2024)

<strong>Data Notes:</strong>
<ul>
<li>

The table only includes Board Developed Courses.
</li>
<li>

The table includes students studying a language through the Secondary College of Languages (formerly Saturday School of Community Languages).
</li>
<li>

Hours equal to the number of hours studied over Years 9 and 10.
</li>
<li>

In 2024, the Total columns include non-binary students. These students are unable to be reported separately due to system limitations.
</li>
</ul>

<strong>Data Source:</strong>
<ul>
<li>NSW Education Standards Authority.</li>
</ul>

Tags: aboriginal-education, government-schools, learning-management, level-state
Organization: NSW Department of Education
Climate Vulnerability Assessment: Blueberry

The <strong>Climate Vulnerability Assessment</strong> was designed to provide an overview of the impact of future climate change on all stages of production for the commodities and biosecurity risks assessed. The project used multicriteria analysis (MCA) models to produce assessments for the commodities and biosecurity risks in a consistent and comparable way, and a framework was developed to provide a rigorous, flexible and transparent process for assessing vulnerabilities and opportunities to climate change. Details of the approach and the climate data used in the assessments can be found in the <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment/publications-and-reports">Methodology Report</a> which also details model exclusions and assumptions.

Assessments were undertaken on commodities grouped into 6 nodes: <em>Horticulture and Viticulture</em>, <em>Broadacre Cropping</em>, <em>Forestry</em>, <em>Extensive Livestock</em>, <em>Marine Fisheries</em>, as well as for a set of biosecurity risks related to these primary industry sectors. The <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment/publications-and-reports">Summary Report</a> gives details of the chosen commodities and biosecurity risks and summarises the high-level results.

Results Reports for each commodity and biosecurity risk are being released. Visit the <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment">project's web pages</a> to access these reports and for further information.

This dataset contains maps of modelled climate suitability for the <strong>blueberry</strong> model in the Horticulture and Viticulture node of the DPIRD Climate Vulnerability Assessment. Maps are provided (in GeoTIFF format) for each element of the model: the overall climate suitability, climate suitability maps for each phenophase and also for each phenophase/climate variable combination in the model. Data is provided for each of the eight global climate models (GCMs) used in the project, as well as the climate suitability derived from historical observations, along with the ensemble median for each map.

Tags: agriculture, biosecurity, climate change, climate vulnerability assessment, horticulture, planning
Organization: Department of Primary Industries and Regional Development (DPIRD)
HawkesburyWatch Estuary Health Dashboard

The HawkesburyWatch Dashboard provides access to raw water quality data collected from seven real-time telemetric monitoring stations along the Hawkesbury estuary. This data is analysed to deliver insights on estuary health, algal bloom risk, swimming conditions at 13 mapped estuarine sites, and flood information. The dashboard also supports oyster harvest management through an alert system that triggers when salinity levels fall below thresholds, helping guide harvest decisions. Additional information on estuarine sediment quality is included. Raw water quality data includes variables such as water temperature, salinity, chlorophyll-a, and turbidity, collected at intervals of 15–30 minutes depending on the station. Real-time monitoring began in 2004 at Calabash Point, with subsequent stations established at Gunyah Point, Courangra Point, Wisemans Ferry, Bar Island, Crosslands, and Mullet Creek. 

For details on the analytical methods used to calculate derived health scores and swimming grades, please refer to the explanatory content embedded within the dashboard.

Tags: Estuary, Hawkesbury River, Monitoring, Water Quality
Organization: Hornsby Shire Council