www.nawra-explorer.csiro.au Open in urlscan Pro
142.250.76.115  Public Scan

Form analysis
1 forms found in the DOM

POST

<form action="" target="dummyframe" method="post">
  <!--
							Preview Key: <input type="password" id="passwordInput" autocomplete="on" autofocus style="width: 100px;margin-bottom: 10px"> <input type="username" id="usernameInput" value="NAWRA Explorer" autocomplete="on" autofocus style="width: 100px; margin-bottom: 10px;display: none">
							-->
  <button id="enter" class="btn btn-primary btn--primary" title="Accept">Continue to NAWRA</button>
</form>

Text Content

NORTHERN AUSTRALIA WATER RESOURCE ASSESSMENT EXPLORER




The Northern Australia Water Resource Assessment provides a comprehensive and
integrated evaluation of the feasibility, economic viability and sustainability
of water and agricultural development in three priority regions. The Assessment
focused on the Fitzroy catchment in Western Australia, the Darwin catchments
(Adelaide, Finniss, Mary and Wildman) in the Northern Territory and the Mitchell
catchment in Queensland.

The Northern Australia Water Resource Assessment Explorer (NAWRA-explorer)
enables the user to simultaneously integrate key datasets generated by the
Northern Australia Water Resource Assessment.

CSIRO advises that the information displayed by the NAWRA-explorer is most
suited at the regional-scale. The level of detail is not suitable for
enterprise-scale planning.

The user is advised and needs to be aware that the information displayed by the
NAWRA-explorer:

 * may be incomplete;
 * may not be accurate;
 * may not be current; and
 * is not appropriate for use in, or applicable to, every situation.




No reliance or actions must be made on the NAWRA-explorer without seeking prior
expert professional, scientific and technical advice.

To the maximum extent permitted by law, CSIRO (including its employees and
consultants) excludes all liability to any person for any consequences,
including but not limited to all losses, damages, costs, expenses and any other
compensation, arising directly or indirectly from using, or relying on, this
website (in part or in whole) and any information or material contained in it.

Prior to viewing or interrogating a dataset the user must read the metadata
statement provided by clicking on the button.

Further accessibility support resources can be found in the form of the
published reports or by downloading the data from the CSIRO Data Access Portal.
You may also contact us if you have any feedback, comments or enquiries.

By entering this site, you are agreeing to these terms and conditions.

Continue to NAWRA

×

LAND SUITABILITY

Title

Land suitability data generated by the Northern Australia Water Resource
Assessment

Description and Purpose

These 126 land suitability raster datasets (41 individual crops combined with
their season and irrigation management systems) were produced for the Northern
Australia Water Resource Assessment (NAWRA). These data provide improved land
evaluation information to identify opportunities and promote detailed
investigation for a range of sustainable development options.

Resolution/scale

90m pixel

Lineage

These land suitability raster data have been created from a range of inputs and
processing steps. Following is an overview. For more information refer to the
NAWRA published reports and in particular the report cited below. 1. Collated
existing data (relating to: climate, topography, soils, natural resources,
remotely sensed, of various formats: reports, spatial vector, spatial raster
etc.). 2. Selection of additional soil and attribute site data by Latin
hypercube statistical sampling method applied across the covariate space. 3.
Fieldwork was carried out to collect additional soil and attribute data and
understand geomorphology and landscapes. 4. Models were built from selected
input data using predictive learning in a Random Forest approach implemented in
the ranger R package. 5. Created key attributes raster data using digital soil
mapping (DSM) 6. Land management options were chosen and suitability rules
created for DSM attributes. 7. Suitability rules were run to produce limitation
datasets using a modification on the FAO methods. 8. Final suitability data
created for all land management options. 9. Companion reliability data was
produced. 10. QA

Citation

Thomas M, Gregory L, Harms B, Hill JV, Morrison D, Philip S, Searle R, Smolinski
H, Van Gool D, Watson I, Wilson PL and Wilson PR (2018) Land suitability of the
Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO
Northern Australia Water Resource Assessment, part of the National Water
Infrastructure Development Fund: Water Resource Assessments. CSIRO, Australia.

Updates

None planned

Data release date

1 August 2018

Considerations

It is important to emphasise that this is a regional-scale assessment: further
data collection and detailed soil physical, chemical and nutrient analyses would
be required to plan development at a scheme, enterprise or property scale.
Several bio-physical and socio-economic limitations that may have a bearing on
land suitability were not explicitly considered as part of the land suitability
framework (see sections 1.1 and 2.1.2 of the cited report). For example these
land suitability raster datasets do not include consideration of the licensing
of water, flood risk, contiguous land, risk of irrigation induced secondary
salinity (relevant to the Fitzroy and Mitchell catchments only), or land tenure
and other legislative controls. Some of these limitations are examined elsewhere
in the Assessment e.g. flooding was investigated using flood modelling (Karim et
al., 2018) and remote sensing (Sims et al., 2016) and the risk of irrigation
induced secondary salinity was assessed as part of the groundwater
investigations (Taylor et al., 2018a, 2018b).

Data quality

A quantitative assessment of the reliability of the suitability data was
produced. Reliability data, accompanying each of the products, show the areas of
each catchment where there is greater or lesser confidence in the accuracy of
the output.

License and availability

Creative Commons Attribution 4.0 International Licence (CC-BY). Data can be
downloaded from https://data.csiro.au

References

Karim F, Pena-Arancibia J, Ticehurst C, Marvanek S, Gallant J, Hughes J, Dutta
D, Vaze J, Petheram C, Seo L and Kitson S (2018) Floodplain inundation mapping
and modelling for the Fitzroy, Darwin and Mitchell catchments. A technical
report to the Australian Government from the CSIRO Northern Australia Water
Resource Assessment, part of the National Water Infrastructure Development Fund:
Water Resource Assessments. CSIRO, Australia.

Sims N, Anstee J, Barron O, Botha E, Lehmann E, Li L, McVicar T, Paget M,
Ticehurst C, Van Niel T and Warren G (2016) Earth observation remote sensing. A
technical report to the Australian Government from the CSIRO Northern Australia
Water Resource Assessment, part of the National Water Infrastructure Development
Fund: Water Resource Assessments. CSIRO, Australia.

Taylor AR, Harrington GA, Clohessy S, Dawes WR, Crosbie RS, Doble RC, Wohling
DL, Batlle-Aguilar J, Davies PJ, Thomas M and Suckow A (2018a) Hydrogeological
assessment of the Grant Group and Poole Sandstone - Fitzroy catchment, Western
Australia. A technical report to the Australian Government from the CSIRO
Northern Australia Water Resource Assessment, part of the National Water
Infrastructure Development Fund: Water Resource Assessments. CSIRO, Australia.

Taylor AR, Doble RC, Crosbie RS, Barry KE, Harrington GA, Davies PJ and Thomas M
(2018b) Hydrogeological assessment of the Bulimba Formation - Mitchell
catchment, Queensland. A technical report to the Australian Government from the
CSIRO Northern Australia Water Resource Assessment, part of the National Water
Infrastructure Development Fund: Water Resource Assessments. CSIRO, Australia.

×

SOIL ATTRIBUTES

Title

Soil attribute data generated by the Northern Australia Water Resource
Assessment

Description and Purpose

18 soil attribute raster datasets were produced by digital soil mapping (DSM)
techniques for the Northern Australia Water Resource Assessment (NAWRA). These
18 attributes provide data on the inherent properties of soil and underpin the
land suitability framework.

Resolution/scale

90m pixel

Lineage

These soil attribute raster data have been created from a range of inputs and
processing steps. Following is an overview. For more information refer to the
NAWRA published reports and in particular the report cited below. 1. Collated
existing data (relating to: climate, topography, soils, natural resources,
remotely sensed, of various formats: reports, spatial vector, spatial raster
etc.). 2. Selection of additional soil and attribute site data by Latin
hypercube statistical sampling method applied across the covariate space. 3.
Fieldwork was carried out to collect additional soil and attribute data and
understand geomorphology and landscapes. 4. Models were built from selected
input data using predictive learning in a Random Forest approach implemented in
the ranger R package. 5. Created key attributes raster data using DSM
techniques. 6. Companion reliability data was produced. 7. QA.

Citation

Thomas M, Brough, D, Bui E, Harms B, Holmes K, Hill JV, Morrison D, Philip S,
Searle R, Smolinski H, Tuomi S, Van Gool D, Watson I, Wilson PL and Wilson PR
(2018) Digital soil mapping of the Fitzroy, Darwin and Mitchell catchments. A
technical report from the CSIRO Northern Australia Water Resource Assessment,
part of the National Water Infrastructure Development Fund: Water Resource
Assessments. CSIRO, Australia.

Updates

None planned

Data release date

1 August 2018

Considerations

It is important to emphasise that this is a regional-scale assessment: further
data collection and detailed soil physical, chemical and nutrient analyses would
be required to plan development at a scheme, enterprise or property scale.

Data quality

Quality assessment of this DSM attribute data was conducted by three methods. 1.
Statistical (quantitative) method of the model and input data. 2. Statistical
(quantitative) assessment of the spatial attribute output data presented as a
raster of the attributes 'reliability'. For categorical values the method for
estimating reliability of the prediction is the Confusion Index and for
continuous attributes the method for estimating reliability is the Coefficient
of Variation. These data are shown and supplied. 3. Collecting independent
external validation site data combined with on-ground expert (qualitative)
examination of outputs during validation field trips.

License and availability

Creative Commons Attribution 4.0 International Licence (CC-BY). Data can be
downloaded from https://data.csiro.au

×

RINGTANKS

Title

Ringtank suitability data generated by the Northern Australia Water Resource
Assessment

Description and Purpose

The ringtank suitability raster data presents the results of a desktop
broad-scale suitability assessment of farm-scale ringtanks for the Northern
Australia Water Resource Assessment (NAWRA). This dataset provides improved
information to identify opportunities and help focus detailed investigation for
a range of sustainable development options.

Resolution/scale

90m pixel

Lineage

The ringtank raster data have been created from a range of inputs and processing
steps. Following is an overview. For more information refer to the NAWRA
published reports and in particular the report cited below. 1. Collated existing
data. 2. Selection of additional soil and attribute site data. 3. Fieldwork was
carried out to collect additional soil and attribute data and understand
landscapes. 4. Models were built from selected input data using predictive
learning in a Random Forest approach implemented in the ranger R package. 5.
Created key attributes raster data using digital soil mapping (DSM) techniques.
6. Suitability rules were created for ringtanks. 7. Suitability rules were run
to produce limitation datasets. 8. Final suitability data created. 9. QA

Citation

Petheram C, Rogers L, Read A, Gallant J, Moon A, Yang A, Gonzalez D, Seo L,
Marvanek S, Hughes J, Ponce Reyes R, Wilson P, Wang B, Ticehurst C and Barber M
(2017) Assessment of surface water storage options in the Fitzroy, Darwin and
Mitchell catchments. A technical report to the Australian Government from the
CSIRO Northern Australia Water Resource Assessment, part of the National Water
Infrastructure Development Fund: Water Resource Assessments. CSIRO, Australia.

Updates

None planned

Data release date

1 August 2018

Considerations

Farm-scale ringtanks require consideration at a scale finer than is possible to
assess in this regional-scale resource assessment. Hence the results presented
here are only indicative of where suitable locations may occur. Importantly
these raster datasets do not explicitly consider the availability of water or
proximity to a watercourse, and are only based on data in the top 1.5 m of the
soil profile.

The design and construction of large farm-scale ringtanks should be undertaken
by suitability qualified professionals.

Data quality

A qualitative assessment of the reliability of the ringtank data was carried out
using expert knowledge.

License and availability

Creative Commons Attribution 4.0 International Licence (CC-BY). Data can be
downloaded from https://data.csiro.au

×

FLOOD INUNDATION

Title

Flood inundation data modelled from imagery generated by the Northern Australia
Water Resource Assessment

Description and Purpose

Flood inundation data were derived from MODIS satellite imagery and show the
extent of the maximum percentage of water that occurred within each MODIS pixel
between 2000 and 2015. Pixels containing a high percentage value show that
extensive inundation has occurred at least once between 2000 and 2015, while
those showing a low percentage indicates some surface water was detected within
that pixel between 2000 and 2015. Flooding can be catastrophic to agricultural
production in terms of loss of stock, fodder, topsoil and damage to crops and
infrastructure. Flooding is also critical to wetland ecosystems.

Resolution/scale

500m pixel

Lineage

MODIS surface reflectance, composited into an 8-day image product, was used to
calculate percentage of water within each 500m x 500m pixel using the Open Water
Likelihood (OWL) algorithm. The maximum percentage of water from 2000 to 2015
was extracted for each pixel location. It is likely that some pixels will be
incorrectly mapped as water due to confusion with certain terrain features and
residual cloud shadow, as well as areas with high soil water content. Hence, to
reduce noise only pixels modelled as containing at least 10% water (as derived
from the MODIS OWL) are reported in the final dataset. A topography mask was
applied to remove pixels incorrectly mapped as water on steep slopes.

Citation

Sims N, Anstee J, Barron O, Botha E, Lehmann E, Li L, McVicar T, Paget M,
Ticehurst C, Van Niel T and Warren G (2016) Earth observation remote sensing. A
technical report to the Australian Government from the CSIRO Northern Australia
Water Resource Assessment, part of the National Water Infrastructure Development
Fund: Water Resource Assessments. CSIRO, Australia.

Updates

None planned

Data release date

1 August 2018

Considerations

A limitation of MODIS maps of surface water is that they are not of sufficient
detail to map narrow water features of less than 1 pixel in width (~500 m). This
problem is exaggerated where river channels are narrow and covered by vegetation
along the banks, or floating vegetation, which obscures the water from the
sensor. This was particularly prevalent in the Darwin catchments. When
interpreting the MODIS water maps care must be taken due to artefacts in the
imagery and confusion with dark soils and dark rocks as well as residual cloud
and topographic shadow.

Data quality

A qualitative assessment of the reliability of the flood inundation data was
carried out using expert knowledge.

License and availability

Creative Commons Attribution 4.0 International Licence (CC-BY). Data can be
downloaded from https://data.csiro.au

×

PERSISTENT WATERHOLES

Title

Waterhole persistence data generated by the Northern Australia Water Resource
Assessment

Description and Purpose

Waterhole persistence data show the percentage of years where surface water was
identified along stream channels during the driest period of the dry seasons
(e.g. October to December depending upon the season) from 1988 to 2015 and was
derived from Landsat imagery. Waterholes are important refuge habitats. Where
they are sufficiently large and persistently inundated over time, waterholes may
also provide a small quantity of low cost water for consumptive uses. Extraction
of water from permanent waterholes may impact on existing users and local
ecological systems.

Resolution/scale

30m pixel

Lineage

Waterholes were mapped at the end of each dry season (based on available
cloud-free Landsat scenes) using a Normalised Difference Water Index derived
from Landsat imagery. An inchannel mask containing a 500m buffer from the
watercourse was divided into 200m segments along each watercourse. The
percentage of dry seasons containing at least 1 pixel (30m x 30m) of water
within each 200m segment was calculated. (This was to allow for the fact that a
waterhole can vary in shape and location through time). In some cases gaps can
occur along the 200m stream segments due to sharp bends in the stream channel.

Citation

Sims N, Anstee J, Barron O, Botha E, Lehmann E, Li L, McVicar T, Paget M,
Ticehurst C, Van Niel T and Warren G (2016) Earth observation remote sensing. A
technical report to the Australian Government from the CSIRO Northern Australia
Water Resource Assessment, part of the National Water Infrastructure Development
Fund: Water Resource Assessments. CSIRO, Australia.

Updates

None planned

Data release date

1 August 2018

Considerations

Some assessments indicate that Landsat may not reliably detect inundation
features smaller than 1 ha. The likelihood of detection is also reduced where
dense vegetation covers the inundated area. This appears to be a particular
issue in the Darwin catchments, and less so in the Fitzroy and Mitchell
catchments. The 16-day repeat coverage, and inability to see through cloud cover
also results in considerable lags between the hydrologically determined end of
dry season and the nearest date of imagery and considerable changes in the size
of waterholes may occur during the 16-day period.

Data quality

Twenty waterholes were visually identified in Google Earth for each catchment
and digitised for direct comparison with the near-coincident Landsat NDWIXu and
WOfS maps. The assessment of agreement was calculated using the Kappa statistic,
see section 5.3 of the cited report.

License and availability

Creative Commons Attribution 4.0 International Licence (CC-BY). Data can be
downloaded from https://data.csiro.au

×

AQUIFERS

Title

Aquifer data generated by the Northern Australia Water Resource Assessment

Description and Purpose

The aquifer datasets are a combination of vector data or raster data
representing two different forms of the spatial extent of hydrogeological units
hosting aquifers. The vector data alone represent the spatial extent of the
outcropping and sub cropping areas of a hydrogeological unit at the land
surface. The combined vector data and raster data represent the spatial extent
of the hydrogeological unit both at the land surface as well as in the
subsurface. These data indicate the hydrogeological units that host the most
promising regional-scale aquifers for future groundwater resource development.
These aquifers were identified using a range of data sources and were produced
by the Northern Australia Water Resource Assessment (NAWRA). These data provide
an up-to-date evaluation of the opportunities for groundwater resource
development from aquifers that are: (i) present in the subsurface across large
areas of the catchments, (ii) contain mostly low salinity (<800 mg/L) water,
(iii) can yield water at a sufficient rate to support irrigation development
(>10 L/second), and (iv) can be intersected by drilling and constructing bores
at economical depths (<300 m below ground level). These hydrogeological
attributes are all important considerations in any groundwater development. The
aquifers have been identified for potential use in irrigated agriculture,
aquaculture, mining and energy operations.

Resolution/scale

Various depending on the source data ranging. Refer to publications cited below.

Lineage

Aquifers were mapped by collating and reviewing all existing geological vector
data, as well as point lithological and stratigraphic data available from
existing 'Creative Commons' datasets. In addition, new point stratigraphic data
were incorporated which were collected from targeted drilling investigations as
part of NAWRA. For more information refer to the NAWRA published reports, in
particular the reports cited below. The following is a brief overview of the
methods. The spatial extent of outcropping and sub cropping areas of
hydrogeological units were mapped using existing geological vector data. The
spatial extent of hydrogeological units both at the land surface and in the
subsurface was mapped by combining vector data with point lithological and
stratigraphic data and interpolating between data points using ArcGIS to create
a raster.

Citation

The aquifer data are published in individual groundwater technical reports for
the Fitzroy, Darwin and Mitchell catchments:

Taylor AR, Harrington GA, Clohessy S, Dawes WR, Crosbie RS, Doble RC, Wohling
DL, Batlle-Aguilar J, Davies PJ, Thomas M and Suckow A (2018) Hydrogeological
assessment of the Grant Group and Poole Sandstone - Fitzroy catchment, Western
Australia. A technical report to the Australian Government from the CSIRO
Northern Australia Water Resource Assessment, part of the National Water
Infrastructure Development Fund: Water Resource Assessments. CSIRO, Australia.

Taylor AR, Doble RC, Crosbie RS, Barry KE, Harrington GA, Davies PJ and Thomas M
(2018) Hydrogeological assessment of the Bulimba Formation - Mitchell catchment,
Queensland. A technical report to the Australian Government from the CSIRO
Northern Australia Water Resource Assessment, part of the National Water
Infrastructure Development Fund: Water Resource Assessments. CSIRO, Australia.

Turnadge C, Crosbie RS, Tickell SJ, Zaar U, Smith SD, Dawes WR, Harrington GA,
Taylor AR (2018) Hydrogeological characterisation of the Mary-Wildman rivers
area, Northern Territory. A technical report to the Australian Government from
the CSIRO Northern Australia Water Resource Assessment, part of the National
Water Infrastructure Development Fund: Water Resource Assessments. CSIRO,
Australia.

Updates

None planned

Data release date

1 August 2018

Considerations

This is a regional-scale assessment and is based on the current level of
existing data. Some datasets were derived by interpolating between data points
including areas that may be data sparse and therefore provide less confidence.
Further data collection and detailed analysis need to be undertaken to plan
groundwater resource development at a scheme, enterprise or property scale.

Data quality

The data quality varies across the catchments relating to source and scale.
Information on data quality can be found in the relevant reports cited above.

License and availability

Creative Commons Attribution 4.0 International Licence (CC-BY). Data can be
downloaded from https://data.csiro.au

×

DEPTH TO TOP OF AQUIFER

Title

Depth to top of aquifer data generated by the Northern Australia Water Resource
Assessment

Description and Purpose

The depth to top of aquifer datasets represent the interpolated spatial
variation in the depth to the top of hydrogeological units hosting aquifers
identified from a range of data sources as the most promising regional-scale
aquifers for future groundwater resource development and was produced by the
Northern Australia Water Resource Assessment (NAWRA). These datasets capture the
current understanding of the spatial variation in depth to the top of aquifers.
The depth information is an important consideration for understanding the
potential costs at a particular location associated with drilling and
constructing bores for extracting groundwater. These aquifers were identified as
having (i) suitable quality water, (ii) sufficient bore yields and (iii) can be
intersected at economical depths by drilling, for potential use in irrigated
agriculture, aquaculture, mining and energy operations.

Resolution/scale

Various depending on the source data. Refer to publications cited below.

Lineage

The depth to top of aquifer was mapped by collating and reviewing all existing
geological vector data, as well as point lithological and stratigraphic data
available from existing 'Creative Commons' datasets. In addition, new point
stratigraphic data were incorporated which were collected from targeted drilling
investigations as part of NAWRA. For more information refer to the NAWRA
published reports, in particular the reports cited below. The following is a
brief overview of the methods. The spatial extent of the depth to the top of
hydrogeological units in the subsurface was mapped by combining vector data with
point lithological and stratigraphic data and interpolating between data points
using ArcGIS to create a raster.

Citation

The depth to top of aquifer datasets are published in individual groundwater
technical reports for the Fitzroy, Darwin and Mitchell catchments:

Taylor AR, Harrington GA, Clohessy S, Dawes WR, Crosbie RS, Doble RC, Wohling
DL, Batlle-Aguilar J, Davies PJ, Thomas M and Suckow A (2018) Hydrogeological
assessment of the Grant Group and Poole Sandstone - Fitzroy catchment, Western
Australia. A technical report to the Australian Government from the CSIRO
Northern Australia Water Resource Assessment, part of the National Water
Infrastructure Development Fund: Water Resource Assessments. CSIRO, Australia.

Taylor AR, Doble RC, Crosbie RS, Barry KE, Harrington GA, Davies PJ and Thomas M
(2018) Hydrogeological assessment of the Bulimba Formation - Mitchell catchment,
Queensland. A technical report to the Australian Government from the CSIRO
Northern Australia Water Resource Assessment, part of the National Water
Infrastructure Development Fund: Water Resource Assessments. CSIRO, Australia.

Turnadge C, Crosbie RS, Tickell SJ, Zaar U, Smith SD, Dawes WR, Davies PJ,
Harrington GA and Taylor AR (2018) Hydrogeological characterisation of the
Mary-Wildman rivers area, Northern Territory. A technical report to the
Australian Government from the CSIRO Northern Australia Water Resource
Assessment, part of the National Water Infrastructure Development Fund: Water
Resource Assessments. CSIRO, Australia.

Updates

None planned

Data release date

1 August 2018

Considerations

This is a regional-scale assessment and is based on the current level of
existing data. Some datasets were derived by interpolation between data points
including areas that may be data sparse and therefore provide less confidence.
Further data collection and detailed analysis need to be undertaken to plan
groundwater resource development at a scheme, enterprise or property scale.

Data quality

The data quality varies across the catchments relating to source and scale.
Information on data quality can be found in the relevant reports cited above.

License and availability

Creative Commons Attribution 4.0 International Licence (CC-BY). Data can be
downloaded from https://data.csiro.au

×

DEPTH TO GROUNDWATER

Title

Depth to groundwater data generated by the Northern Australia Water Resource
Assessment

Description and Purpose

The depth to groundwater datasets represent the interpolated spatial variation
in the depth to groundwater based on observed hydraulic head (or piezometric
head) in existing groundwater bores. The datasets provide an indication of the
current hydraulic head in the aquifers, which indicates if groundwater would
either flow naturally to the surface or the depth which groundwater would need
to be pumped if the aquifer was drilled and groundwater bores were installed at
a particular location. These datasets capture the current understanding of
dry-season groundwater levels in aquifers identified from a range of data
sources as the most promising regional-scale aquifers for future groundwater
resource development and were produced by the Northern Australia Water Resource
Assessment (NAWRA). These aquifers were identified as having (i) suitable
quality water, (ii) sufficient bore yields and (iii) can be intersected at
economical depths by drilling for potential use in irrigated agriculture,
aquaculture, mining and energy operations.

Resolution/scale

Various depending on the source data. Refer to publications cited below.

Lineage

The depth to groundwater data were derived using a combination of existing
historical hydraulic head observations from 'Creative Commons' datasets, as well
as new hydraulic head observations collected as part of targeted field
investigations in NAWRA. The depth to groundwater was generated by interpolating
between data points using ArcGIS to create a raster, and mapped to the spatial
extent of target aquifers. For more information refer to the NAWRA published
reports and in particular the report cited below.

Citation

The depth to groundwater data are published in individual groundwater technical
reports for the Fitzroy, Darwin and Mitchell catchments:

Taylor AR, Harrington GA, Clohessy S, Dawes WR, Crosbie RS, Doble RC, Wohling
DL, Batlle-Aguilar J, Davies PJ, Thomas M and Suckow A (2018) Hydrogeological
assessment of the Grant Group and Poole Sandstone - Fitzroy catchment, Western
Australia. A technical report to the Australian Government from the CSIRO
Northern Australia Water Resource Assessment, part of the National Water
Infrastructure Development Fund: Water Resource Assessments. CSIRO, Australia.

Taylor AR, Doble RC, Crosbie RS, Barry KE, Harrington GA, Davies PJ and Thomas M
(2018) Hydrogeological assessment of the Bulimba Formation - Mitchell catchment,
Queensland. A technical report to the Australian Government from the CSIRO
Northern Australia Water Resource Assessment, part of the National Water
Infrastructure Development Fund: Water Resource Assessments. CSIRO, Australia.

Turnadge C, Crosbie RS, Tickell SJ, Zaar U, Smith SD, Dawes WR, Davies PJ,
Harrington GA and Taylor AR (2018) Hydrogeological characterisation of the
Mary-Wildman rivers area, Northern Territory. A technical report to the
Australian Government from the CSIRO Northern Australia Water Resource
Assessment, part of the National Water Infrastructure Development Fund: Water
Resource Assessments. CSIRO, Australia.

Updates

None planned

Data release date

1 August 2018

Considerations

This is a regional-scale assessment and is based on the current level of
existing data. Some datasets were derived by interpolation between data points
including areas that may be data sparse and therefore provide less confidence.
Further data collection and detailed analysis need to be undertaken to plan
groundwater resource development at a scheme, enterprise or property scale.

Data quality

The data quality varies across the catchments relating to source and scale.
Information on data quality can be found in the relevant reports cited above.

License and availability

Creative Commons Attribution 4.0 International Licence (CC-BY). Data can be
downloaded from https://data.csiro.au

×

RECORDED SPECIES OCCURRENCES

Title

Atlas of Living Australia data

Description and Purpose

The Atlas of Living Australia (ALA) is a collaborative, national project that
aggregates biodiversity data from multiple sources. The ALA pulls together two
basic types of information about Australia's living things: species and
environments and is hosted by CSIRO. These data are a resource for science,
industry and decision makers in environmental monitoring, conservation planning,
biodiversity conservation, sustainable ecosystem development, natural resource
management and environmental impact assessments. It was one of the datasets used
to identify ecological assets in the Assessment. Other (non-ALA) ecological
datasets used in the Assessment are described in the NAWRA ecological asset
description report, Pollino et al. (2018).

Resolution/scale

Various.

Lineage

ALA is a node of the Global Biodiversity Infrastructure Facility (GBIF), and is
supported by the National Collaborative Research Infrastructure Strategy
(NCRIS). It is hosted by CSIRO. All aspects of data management adhere to
international and national protocols and guidelines, including data from citizen
science.

Citation

Atlas of Living Australia website at http://www.ala.org.au. Accessed 1 July
2017.

Updates

None planned

Data release date

1 August 2018

Considerations

It should be noted that the ALA data are based on recorded observations and the
absence of an observation of a species at a location does not necessarily mean
that species is absent.

When using these data various considerations need to be understood relating to
the source, scale and application of the data as per information supplied with
data downloads and extracts.

Data quality

The quality of data varies across the ALA relating to source and scale as per
reliability information supplied with data downloads and extracts.

License and availability

The Atlas of Living Australia website http://www.ala.org.au. provides data
access and licensing information.

Reference

Pollino CA, Barber E, Buckworth R, Cadiegues M, Deng A, Ebner B, Kenyon R,
Liedloff A, Merrin LE, Moeseneder C, Morgan D, Nielsen DL, O'Sullivan J, Ponce
Reyes R, Robson BJ, Stratford DS, Stewart-Koster B, and Turschwell M (2018)
Synthesis of knowledge to support the assessment of impacts of water resource
development to ecological assets in northern Australia: asset descriptions. A
technical report to the Australian Government from the CSIRO Northern Australia
Water Resource Assessment, part of the National Water Infrastructure Development
Fund: Water Resource Assessments. CSIRO, Australia.

×

WATER STORAGE

Title

Concrete gravity dam instream data generated by the Northern Australia Water
Resource Assessment

Description and Purpose

This dataset contains the more promising sites for major instream dams (wall
height > 15m) in each of the study areas taking into consideration topography,
hydrology and climate. For display purposes the sites are ranked in terms of
approximate cost of construction per storage volume (ML). These data do not take
into consideration the geological suitability. Data are displayed according to
the minimum cost/ML yield at the optimal height (i.e. the height at which the
minimum cost/ML yield occurs).

Resolution/scale

The modelling analysis was underpinned by DEM-H (30m resolution). Summary data
are provided for the better ~5000 locations.

Lineage

These data were generated using the DamSite model and are reported in the NAWRA
surface water storage report (Petheram et al., 2017). The broad modelling steps
were: 1. Calculate catchment, dam and reservoir dimensions for every grid cell
in the study area with a catchment area greater than 20 km2. 2. For each full
supply level at each location the flood rise for events of annual exceedance
probability (AEP) of 1 in 10,000 and 1 in 50,000 years were calculated. 3. The
cost of constructing the dam wall was calculated by determining the quantity of
material required to construct the dam wall (designed for an event of AEP 1 in
10,000) and saddle dams, (designed for an event of AEP 1 in 50,000) as required,
using a unit cost approach, assuming a roller compacted concrete dam. 4. The
quantity of water that could be released from the dam under controlled
conditions (i.e. the yield) in 85% of years was calculated by aggregating
gridded runoff from the AWRA-L model upstream of each location and assessed for
each full supply level using a behaviour analysis approach under the historical
climate (i.e. 1890 to 2015).

Citation

Petheram C, Rogers L, Read A, Gallant J, Moon A, Yang A, Gonzalez D, Seo L,
Marvanek S, Hughes J, Ponce Reyes R, Wilson P, Wang B, Ticehurst C and Barber M
(2017) Assessment of surface water storage options in the Fitzroy, Darwin and
Mitchell catchments. A technical report to the Australian Government from the
CSIRO Northern Australia Water Resource Assessment, part of the National Water
Infrastructure Development Fund: Water Resource Assessments. CSIRO, Australia.

Updates

None planned

Data release date

1 August 2018

Considerations

Cost
Approximate storage costs were developed using a unit cost approach assuming a
roller compacted concrete dam and earth embankment saddle dams (see Petheram et
al., 2017). These estimates are thought likely to be within -25% to +75% of the
actual cost. Should site geotechnical investigations reveal unknown unfavourable
geological conditions, costs could be substantially higher. For this analysis
DEM-H (Gallant et al., 2011) was used to delineate catchment areas, dam
cross-section profiles and calculate reservoir dimensions. The ability of DEM-H
to capture the detailed topographic structure around a potential dam site is
rather more limited than its ability to characterise the catchment area and
storage volume. Consequently this may potentially impact on the modelled cost of
the dam and saddle dams as dam cross-section profiles were calculated using
DEM-H. In some instances DEM-H may be erroneous due to riparian vegetation that
was not completely removed or the presence of water at the time of data
acquisition by the Shuttle Radar Topographic Mission (data were acquired over 10
days in February 2000). DEM-H is also unable to resolve the fine-scale
topographic variations around narrow channels or where the topography is
particularly steep (see Petheram et al., 2013 for more information on
limitations of using DEM-H for dam and reservoir analysis). Experience with the
SRTM-derived digital elevation model (DEM) is that errors in reservoir volume
for major dams are small compared to the actual storage volume.

Yield
Reservoir yield estimates are limited by the quality of the gridded AWRA-L
dataset used to calculate streamflow upstream of each location. The quality of
estimates at each location will vary depending upon the quality and
representativeness of the available streamflow gauging station data (see Hughes
et al., 2017).

Datum
It should be noted that there is a vertical datum difference between Shuttle
Radar Topographic Mission derived products such as DEM-H, which are based on the
EGM96 geoid, and the Australian height datum (AHD). The difference is poorly
defined due to the lack of a well-defined AHD surface across the Australian
continent, but is generally less than 1 m. The implications of this are that
elevation datasets using different datum may result in different reservoir
volume and dam cost calculations for the same full supply level.

Data quality

Dam cost data generated by the DamSite model were compared to manual estimates
of dam cost at six locations prepared by a professional highly experienced in
dam design and construction. Reservoir yield data generated by the DamSite model
were compared to estimates of reservoir yield data using a behaviour analysis
model and output from a river system model (Hughes et al., 2017).

License and availability

Creative Commons Attribution 4.0 International Licence (CC-BY). Data can be
downloaded from https://data.csiro.au

References

Gallant JC, Dowling TI, Read AM, Wilson N, Tickle P, Inskeep C (2011) 1 second
SRTM Derived Digital Elevation Models User Guide. Geoscience Australia
www.ga.gov.au/topographic-mapping/digital-elevation-data.html

Hughes J, Yang A, Wang B, Marvanek S, Carlin L, Seo L, Petheram C and Vaze J
(2017) Calibration of river system and landscape models for the Fitzroy, Darwin
and Mitchell catchments. A technical report to the Australian Government from
the CSIRO Northern Australia Water Resource Assessment, part of the National
Water Infrastructure Development Fund: Water Resource Assessments. CSIRO,
Australia.

Petheram C, Rogers L, Eades G, Marvanek S, Gallant J, Read A, Sherman B, Yang A,
Waltham N, McIntyre-Tamwoy S, Burrows D, Kim S, Podger S, Tomkins K, Poulton P,
Holz L, Bird M, Atkinson F, Gallant S, Kehoe M (2013) Assessment of surface
water storage options in the Flinders and Gilbert catchments. A technical report
to the Australian Government from the CSIRO Flinders and Gilbert Agricultural
Resource Assessment, part of the North Queensland Irrigated Agriculture
Strategy. CSIRO Water for a Healthy Country and Sustainable Agriculture
flagships, Australia.

Petheram C, Rogers L, Read A, Gallant J, Moon A, Yang A, Gonzalez D, Seo L,
Marvanek S, Hughes J, Ponce Reyes R, Wilson P, Wang B, Ticehurst C and Barber M
(2017) Assessment of surface water storage options in the Fitzroy, Darwin and
Mitchell catchments. A technical report to the Australian Government from the
CSIRO Northern Australia Water Resource Assessment, part of the National Water
Infrastructure Development Fund: Water Resource Assessments. CSIRO, Australia.

×

RAINFALL

Title

Rainfall data

Description and Purpose

The rainfall raster data presents modelling of mean annual, wet season (November
to April) and dry season (May to October) rainfall, averaged over the 125-year
historical period between 1 September 1890 and 31 August 2015. Data were sourced
from the Scientific Information for Land Owners database (SILO) (Jeffery et al.
2001). Weather is the key source of uncertainty affecting crop yield. It
influences the rate and vigour of crop growth, while catastrophic weather events
can result in extensive crop losses. Of all the climate parameters affecting
hydrology and agriculture in water-limited environments, rainfall is usually the
most important. Rainfall is the main determinant of runoff and recharge and is a
fundamental requirement for plant growth.

Resolution/scale

5km pixel

Lineage

The rainfall raster data was created from a consistent set of historical climate
data sourced from SILO daily gridded climate data. SILO provides surfaces of
daily climate data interpolated and in-filled from point measurements from by
the observation network developed and maintained by the Bureau of Meteorology.

Citation

Charles S, Petheram C, Berthet A, Browning G, Hodgson G, Wheeler M, Yang A,
Gallant S, Vaze J, Wang B, Marshall A, Hendon H, Kuleshov Y, Dowdy A, Reid P,
Read A, Feikema P, Hapuarachchi P, Smith T, Gregory P and Shi L (2016) Climate
data and their characterisation for hydrological and agricultural scenario
modelling across the Fitzroy, Darwin and Mitchell catchments. A technical report
to the Australian Government from the CSIRO Northern Australia Water Resource
Assessment, part of the National Water Infrastructure Development Fund: Water
Resource Assessments. CSIRO, Australia and can be accessed here:

Updates

None planned

Data release date

1 August 2018

Considerations

It is important to note that the gridded climate data are a modelled dataset
(i.e. they are derived from observed data but do not contain the original
observed data). Equivalent sized catchments in south-eastern Australia have
about ten times more climate stations than those of northern Australia's
Fitzroy, Darwin and Mitchell catchments (see companion technical report on
climate, Charles et al. 2016).

Data quality

Original input observations have been quality checked by the Bureau of
Meteorology and the interpolation routines used have been subjected to
additional error checking. Data accuracy is expected to be lowest in areas where
the observation density is low relative to the climate gradients and where
observations are only available for shorter time periods. See companion
technical report on climate, Charles et al. (2016) for information on data
available in the three study areas.

License and availability

Creative Commons Attribution 4.0 International Licence (CC-BY). Data can be
downloaded from https://data.csiro.au

References

Charles S, Petheram C, Berthet A, Browning G, Hodgson G, Wheeler M, Yang A,
Gallant S, Vaze J, Wang B, Marshall A, Hendon H, Kuleshov Y, Dowdy A, Reid P,
Read A, Feikema P, Hapuarachchi P, Smith T, Gregory P and Shi L (2016) Climate
data and their characterisation for hydrological and agricultural scenario
modelling across the Fitzroy, Darwin and Mitchell catchments. A technical report
to the Australian Government from the CSIRO Northern Australia Water Resource
Assessment, part of the National Water Infrastructure Development Fund: Water
Resource Assessments. CSIRO, Australia and can be accessed here:

Jeffrey SJ, Carter JO, Moodie KB and Beswick AR (2001) Using spatial
interpolation to construct a comprehensive archive of Australian climate data.
Environmental Modelling and Software 16, 309-330.

×

POTENTIAL EVAPORATION

Title

Potential evaporation data

Description and Purpose

The potential evaporation (PE) raster data presents modelling of mean annual,
wet season (November to April) and dry season (May to October) PE, averaged over
the historical period 1965 to 2015. Data were sourced from the Scientific
Information for Land Owners database (SILO) (Jeffery et al. 2001). Potential
evaporation (PE) is defined as the amount of evaporation that would occur if an
unlimited source of water was available. It provides an upper limit to actual
evaporation.

Resolution/scale

5km pixel

Lineage

The PE raster data was created from a consistent set of historical climate data
(1965 to 2015) sourced from SILO daily gridded climate data using Morton's wet
environment areal potential evaporation (Morton, 1983). PE data was calculated
using the following SILO data: maximum and minimum air temperature; incoming
solar radiation; atmospheric vapour pressure (converted to relative humidity
using the SILO actual vapour pressure divided by the saturation vapour pressure
at the daily air temperature extremes). This method is outlined in Li et al.
(2009).

Citation

Charles S, Petheram C, Berthet A, Browning G, Hodgson G, Wheeler M, Yang A,
Gallant S, Vaze J, Wang B, Marshall A, Hendon H, Kuleshov Y, Dowdy A, Reid P,
Read A, Feikema P, Hapuarachchi P, Smith T, Gregory P and Shi L (2016) Climate
data and their characterisation for hydrological and agricultural scenario
modelling across the Fitzroy, Darwin and Mitchell catchments. A technical report
to the Australian Government from the CSIRO Northern Australia Water Resource
Assessment, part of the National Water Infrastructure Development Fund: Water
Resource Assessments. CSIRO, Australia and can be accessed here:

Updates

None planned

Data release date

1 August 2018

Considerations

It is important to note that the gridded climate data are a modelled dataset
(i.e. they are derived from observed data but do not contain the original
observed data). Equivalent sized catchments in south-eastern Australia have
about ten times more climate stations than those of northern Australia's
Fitzroy, Darwin and Mitchell catchments (see companion technical report on
climate, Charles et al. 2016).

Data quality

Original input observations have been quality checked by the Bureau of
Meteorology and the interpolation routines used have been subjected to
additional error checking. Data accuracy is expected to be lowest in areas where
the observation density is low relative to the climate gradients and where
observations are only available for shorter time periods. See companion
technical report on climate, Charles et al. (2016) for information on data
available in the three study areas.

License and availability

Creative Commons Attribution 4.0 International Licence (CC-BY). Data can be
downloaded from https://data.csiro.au

References

Charles S, Petheram C, Berthet A, Browning G, Hodgson G, Wheeler M, Yang A,
Gallant S, Vaze J, Wang B, Marshall A, Hendon H, Kuleshov Y, Dowdy A, Reid P,
Read A, Feikema P, Hapuarachchi P, Smith T, Gregory P and Shi L (2016) Climate
data and their characterisation for hydrological and agricultural scenario
modelling across the Fitzroy, Darwin and Mitchell catchments. A technical report
to the Australian Government from the CSIRO Northern Australia Water Resource
Assessment, part of the National Water Infrastructure Development Fund: Water
Resource Assessments. CSIRO, Australia and can be accessed here:

Jeffrey SJ, Carter JO, Moodie KB and Beswick AR (2001) Using spatial
interpolation to construct a comprehensive archive of Australian climate data.
Environmental Modelling and Software 16, 309-330.

Li L, Donohue R, McVicar T, Van Niel T, Teng J, Potter N, Smith I, Kirono D,
Bathols J, Cai W, Marvanek S, Gallant S, Chiew F and Frost A (2009) Climate data
and their characterisation for hydrological scenario modelling across northern
Australia. A report to the Australian Government from the CSIRO Northern
Australia Sustainable Yields Project. CSIRO Water for a Healthy Country
Flagship, Australia.

×

GULLY DAMS

Title

Large farm-scale gully dam data generated by the Northern Australia Water
Resource Assessment

Description and Purpose

This dataset contains the more promising sites for large farm-scale (embankment)
gully dams (between 5 and 20 m in height). Sites with catchment areas larger
than 30 km2 were deemed to be too large for embankment gully dams and were not
analysed. Two options are available for display. 1. Those data where topography,
hydrology and climate were taken into consideration, and 2. Those data where
topography, hydrology and soil suitability were taken into consideration. The
second option is a subset of the first option, where potential farm-scale gully
dams underlain by soils considered unsuitable for constructing earth embankment
dams are not displayed. For display purposes the sites are ranked in terms of
approximate cost of construction per storage volume (ML). These data do not take
into consideration the geological suitability. Data are displayed according to
the minimum cost/ML yield at the optimal height (i.e. the height at which the
minimum cost/ML yield occurs).

Resolution/scale

The modelling analysis was underpinned by DEM-H (30m resolution). Summary data
are provided for the better ~5000 locations.

Lineage

These data were generated using the DamSite model and are reported in the NAWRA
surface water storage report (Petheram et al., 2017). The broad modelling steps
were: 1. Calculate catchment, dam and reservoir dimensions at every location in
the study area with a catchment area greater than 2 km2. 2. The cost of
constructing the dam wall was calculated by determining the quantity of material
required to construct the wall and saddle dams at each full supply level (with
an allowance for freeboard depending upon the size of the reservoir) and
assuming that half of the reservoir area had to be cleared. An allowance was
made to the cost for design and investigation, permits and approvals, spillway,
riprap protection, fish passage and contractor accommodation. 3. The quantity of
water that could be released from the dam under controlled conditions (i.e. the
yield) in 85% of years at each full supply level was calculated as being the
smaller of the 85% annual exceedance yield of AWRA-L gridded runoff minus
evaporation or the storage volume minus evaporation.

Citation

Petheram C, Rogers L, Read A, Gallant J, Moon A, Yang A, Gonzalez D, Seo L,
Marvanek S, Hughes J, Ponce Reyes R, Wilson P, Wang B, Ticehurst C and Barber M
(2017) Assessment of surface water storage options in the Fitzroy, Darwin and
Mitchell catchments. A technical report to the Australian Government from the
CSIRO Northern Australia Water Resource Assessment, part of the National Water
Infrastructure Development Fund: Water Resource Assessments. CSIRO, Australia.

Updates

None planned

Data release date

1 August 2018

Considerations

Cost
For this analysis DEM-H (Gallant et al., 2011) was used to delineate catchment
areas, dam cross-section profiles and calculate reservoir dimensions. The
ability of DEM-H to capture the detailed topographic structure around a
potential dam site is rather more limited than its ability to characterise the
catchment area and storage volume. Consequently this may potentially impact on
the modelled cost of the dam and saddle dams as dam cross-section profiles were
calculated using DEM-H. In some instances DEM-H may be erroneous due to riparian
vegetation that was not completely removed or the presence of water at the time
of data acquisition by the Shuttle Radar Topographic Mission (data were acquired
over 10 days in February 2000). DEM-H is also unable to resolve the fine-scale
topographic variations around narrow channels or where the topography is
particularly steep (see Petheram et al., 2013 for more information on
limitations of using DEM-H for dam and reservoir analysis). Experience with the
SRTM-derived digital elevation model (DEM) is that errors in reservoir volume
for major dams are small compared to the actual storage volume.

Yield
Reservoir yield estimates are limited by the quality of the gridded AWRA-L
dataset used to calculate streamflow upstream of each location. Generally the
AWRA-L runoff data are more representative of catchments considerably larger
than 30km2 so yield estimates should be considered indicative only. The quality
of estimates will vary in space depending upon the quality and
representativeness of the available streamflow gauging station data (see Hughes
et al., 2017).

Datum
It should be noted that there is a vertical datum difference between Shuttle
Radar Topographic Mission derived products such as DEM-H, which are based on the
EGM96 geoid, and the Australian height datum (AHD). The difference is poorly
defined due to the lack of a well-defined AHD surface across the Australian
continent, but is generally less than 1 m. The implications of this are that
elevation datasets using different datum may result in different reservoir
volume and dam cost calculations for the same full supply level.

Data quality

The data have not been independently tested due to the absence of gully dams in
the study areas.

License and availability

Creative Commons Attribution 4.0 International Licence (CC-BY). Data can be
downloaded from https://data.csiro.au

References

Gallant JC, Dowling TI, Read AM, Wilson N, Tickle P, Inskeep C (2011) 1 second
SRTM Derived Digital Elevation Models User Guide. Geoscience Australia
www.ga.gov.au/topographic-mapping/digital-elevation-data.html

Petheram C, Rogers L, Eades G, Marvanek S, Gallant J, Read A, Sherman B, Yang A,
Waltham N, McIntyre-Tamwoy S, Burrows D, Kim S, Podger S, Tomkins K, Poulton P,
Holz L, Bird M, Atkinson F, Gallant S, Kehoe M (2013) Assessment of surface
water storage options in the Flinders and Gilbert catchments. A technical report
to the Australian Government from the CSIRO Flinders and Gilbert Agricultural
Resource Assessment, part of the North Queensland Irrigated Agriculture
Strategy. CSIRO Water for a Healthy Country and Sustainable Agriculture
flagships, Australia.

Petheram C, Rogers L, Read A, Gallant J, Moon A, Yang A, Gonzalez D, Seo L,
Marvanek S, Hughes J, Ponce Reyes R, Wilson P, Wang B, Ticehurst C and Barber M
(2017) Assessment of surface water storage options in the Fitzroy, Darwin and
Mitchell catchments. A technical report to the Australian Government from the
CSIRO Northern Australia Water Resource Assessment, part of the National Water
Infrastructure Development Fund: Water Resource Assessments. CSIRO, Australia.

×

INDIGENOUS CULTURAL HERITAGE SITES

Title

Indigenous cultural heritage sites data generated by the Northern Australia
Water Resource Assessment

Description and Purpose

This dataset only shows the generalised location of Indigenous cultural heritage
sites that were formally recorded in government-held databases at the time NAWRA
was undertaken. These databases are continually updated and many Indigenous
sites remain unrecorded, so the map demonstrates the presence of a layer, not
the full detail or extent of Indigenous cultural heritage. Refer to the
registered cultural heritage management agencies in each State or Territory for
further guidance about formally recorded sites. A comprehensive cultural
heritage assessment has yet to be conducted with Indigenous groups in the NAWRA
catchments and Indigenous groups hold very substantial cultural heritage
knowledge that remains unrecorded. Indigenous cultural heritage sites can
include: archaeological sites (artefact scatters, hearths, stone tool knapping
areas, scarred trees, etc.); traditional knowledge and story sites; historical
sites; and places of contemporary importance for maintaining cultural life
(hunting, fishing, bush medicine, Indigenous Knowledge sharing, etc.).
Indigenous cultural heritage protection and its relationship to development is a
crucial area of ongoing concern, current activity and future potential for
Indigenous people. For more information about Indigenous cultural values,
cultural heritage, and cultural uses in the NAWRA catchments, refer to the
published NAWRA reports cited below.

Resolution/scale

5km pixel

Lineage

Existing publicly recorded, registered and/or listed data for the NAWRA
catchments was supplied by the Department of Aboriginal and Torres Strait
Islander Partnerships (Queensland) the Aboriginal Areas Protection Authority
(Northern Territory), and the Department of Aboriginal Affairs (Western
Australia) respectively. This data was collated and merged into a single layer.
A 5 x 5km raster was created from the merged points layer using a count function
to total the number of ICH points occurring within each grid cell.

Citation

Barber M and Woodward E (2018) Indigenous water values, rights, interests and
development objectives in the Fitzroy catchment. A technical report to the
Australian Government from the CSIRO Northern Australia Water Resource
Assessment, part of the National Water Infrastructure Development Fund: Water
Resource Assessments. CSIRO, Australia.

Barber M (2018) Indigenous water values, rights, interests and development
objectives in the Darwin catchments. A technical report to the Australian
Government from the CSIRO Northern Australia Water Resource Assessment, part of
the National Water Infrastructure Development Fund: Water Resource Assessments.
CSIRO, Australia.

Lyons I and Barber M (2018) Indigenous water values, rights, interests and
development objectives in the Mitchell catchment. A technical report to the
Australian Government from the CSIRO Northern Australia Water Resource
Assessment, part of the National Water Infrastructure Development Fund: Water
Resource Assessments. CSIRO, Australia.

Updates

None planned

Data release date

1 August 2018

Considerations

It is important to emphasise that this is a regional-scale assessment: further
data collection and detailed research would be required for planning.

Data quality

Original input observations were collected in previous research and cultural
heritage recording processes and maintained in jurisdiction databases. This 5km
modelled dataset presents the input data 'aggregated and delocalised' for the
project purposes

License and availability

Refer to the registered cultural heritage management agencies in each State or
Territory for current data and/or information about specific locations. NAWRA
Explorer data is Creative Commons Attribution 4.0 International Licence (CC-BY).
Data can be downloaded from https://data.csiro.au

×

REGISTERED INDIGENOUS LAND USE AGREEMENTS (ILUA)

Title

Registered Indigenous Land Use Agreements (ILUA) - agreement boundaries and core
attributes about agreements. Data source - National Native Title Tribunal

Description and Purpose

This dataset reflects the boundaries of those Indigenous Land Use Agreements
(ILUA) that have entered the notification process or have been registered and
placed on the Register of Indigenous Land Use Agreements (s199A, Native Title
Act; Commonwealth). This is a national dataset. Spatial attribution includes
National Native Title Tribunal number, Name, Agreement Type, Proponent, Area and
Registration Date.

These ILUA are binding agreements between native title parties and others about
the use of land and waters where native title is claimed or determined. For more
information about Native Title in the NAWRA study, refer to the NAWRA published
reports and in particular the reports referenced below.

Resolution/scale

National

Lineage

Created by the National Native Title Tribunal in 1998 and continuously updated
and maintained.

Citation

Products using this data should acknowledge the National Native Title Tribunal
as the data source.

Updates

None planned for this interface. Daily updates are available from
http://www.nntt.gov.au/assistance/Geospatial/Pages/Spatial-aata.aspx

Data release date

30 August 2018

Considerations

This data is supplied by the National Native Title Tribunal (NNTT). For more
information on the NNTT visit the NNTT website
http://www.nntt.gov.au/aboutus/Pages/default.aspx. To download spatial data and
the full metadata go to
http://www.nntt.gov.au/assistance/Geospatial/Pages/Spatial-aata.aspx

Data quality

While the National Native Title Tribunal (NNTT) and the Native Title Registrar
(Registrar) have exercised due care in ensuring the accuracy of the information
provided, it is provided for general information only and on the understanding
that neither the NNTT, the Registrar nor the Commonwealth of Australia is
providing professional advice. Appropriate professional advice relevant to your
circumstances should be sought rather than relying on the information provided.
In addition, you must exercise your own judgment and carefully evaluate the
information provided for accuracy, currency, completeness and relevance for the
purpose for which it is to be used.

The information provided is often supplied by, or based on, data and information
from external sources, therefore the NNTT and Registrar cannot guarantee that
the information is accurate or up-to-date.

The NNTT and Registrar expressly disclaim any liability arising from the use of
this information.

This information should not be relied upon in relation to any matters associated
with cultural heritage.

License and availability

Creative Commons Attribution 4.0 International Licence (CC-BY). Data can be
downloaded from https://data.csiro.au

References

Barber M and Woodward E (2018) Indigenous water values, rights, interests and
development objectives in the Fitzroy catchment. A technical report to the
Australian Government from the CSIRO Northern Australia Water Resource
Assessment, part of the National Water Infrastructure Development Fund: Water
Resource Assessments. CSIRO, Australia.

Barber M (2018) Indigenous water values, rights, interests and development
objectives in the Darwin catchments. A technical report to the Australian
Government from the CSIRO Northern Australia Water Resource Assessment, part of
the National Water Infrastructure Development Fund: Water Resource Assessments.
CSIRO, Australia.

Lyons I and Barber M (2018) Indigenous water values, rights, interests and
development objectives in the Mitchell catchment. A technical report to the
Australian Government from the CSIRO Northern Australia Water Resource
Assessment, part of the National Water Infrastructure Development Fund: Water
Resource Assessments. CSIRO, Australia.

×

NATIONAL NATIVE TITLE REGISTER OF DETERMINATIONS

Title

National Native Title Register (Determinations) - boundaries and core
attributes. Data source - National Native Title Tribunal

Description and Purpose

This dataset reflects the boundaries of claimant and nonclaimant native title
applications that have been determined in part or in full, together with
attribution about that determination. This dataset is stored nationally. The
National Native Title Register (s192, Native Title Act, Commonwealth), is a
register containing information about each determination of native title by the
Federal or High Court or by a recognized State or Territory body. Determinations
are categorized by both process and outcome. Process will be by consent,
litigation or unopposed. Outcome will be that native title will have been found
to exist in full or part, or been extinguished. Those determinations subject to
appeal are also noted. For more information about Native Title in the NAWRA
study, refer to the NAWRA published reports and in particular the reports
referenced below.

Resolution/scale

National

Lineage

Created by the National Native Title Tribunal in 1998 and continuously updated
and maintained.

Citation

Products using this data should acknowledge the National Native Title Tribunal
as the data source.

Updates

None planned for this interface. Daily updates are available from
http://www.nntt.gov.au/assistance/Geospatial/Pages/Spatial-aata.aspx

Data release date

30 August 2018

Considerations

This data is supplied by the National Native Title Tribunal (NNTT). For more
information on the NNTT visit the NNTT website
http://www.nntt.gov.au/aboutus/Pages/default.aspx. To download spatial data and
the full metadata go to
http://www.nntt.gov.au/assistance/Geospatial/Pages/Spatial-aata.aspx

Data quality

While the National Native Title Tribunal (NNTT) and the Native Title Registrar
(Registrar) have exercised due care in ensuring the accuracy of the information
provided, it is provided for general information only and on the understanding
that neither the NNTT, the Registrar nor the Commonwealth of Australia is
providing professional advice. Appropriate professional advice relevant to your
circumstances should be sought rather than relying on the information provided.
In addition, you must exercise your own judgment and carefully evaluate the
information provided for accuracy, currency, completeness and relevance for the
purpose for which it is to be used.

The information provided is often supplied by, or based on, data and information
from external sources, therefore the NNTT and Registrar cannot guarantee that
the information is accurate or up-to-date.

The NNTT and Registrar expressly disclaim any liability arising from the use of
this information.

This information should not be relied upon in relation to any matters associated
with cultural heritage.

License and availability

Creative Commons Attribution 4.0 International Licence (CC-BY). Data can be
downloaded from https://data.csiro.au

References

Barber M and Woodward E (2018) Indigenous water values, rights, interests and
development objectives in the Fitzroy catchment. A technical report to the
Australian Government from the CSIRO Northern Australia Water Resource
Assessment, part of the National Water Infrastructure Development Fund: Water
Resource Assessments. CSIRO, Australia.

Barber M (2018) Indigenous water values, rights, interests and development
objectives in the Darwin catchments. A technical report to the Australian
Government from the CSIRO Northern Australia Water Resource Assessment, part of
the National Water Infrastructure Development Fund: Water Resource Assessments.
CSIRO, Australia.

Lyons I and Barber M (2018) Indigenous water values, rights, interests and
development objectives in the Mitchell catchment. A technical report to the
Australian Government from the CSIRO Northern Australia Water Resource
Assessment, part of the National Water Infrastructure Development Fund: Water
Resource Assessments. CSIRO, Australia.

×

NATIONAL NATIVE TITLE REGISTER OF APPLICATIONS

Title

Register of Native Title Claims - boundaries and core attributes about
applications. Data source - National Native Title Tribunal

Description and Purpose

This dataset attempts to reflect the boundaries of claimant applications for
Native Title as per the Register of Native Title Claims (s185, Native Title Act;
Commonwealth). This is a national dataset. This dataset depicts the spatial
record of registered claimant applications. Spatial attribution includes
National Native Title Tribunal number, Federal Court number and application
status. Applicants of registered applications have the Right To Negotiate (RTN)
with respect to certain types of Future Acts over the area being claimed. Whilst
applications that are determined are recorded on a separate register, all
registered applications remain on the Register of Native Title Claims until
otherwise finalised. For more information about Native Title in the NAWRA study,
refer to the NAWRA published reports and in particular the reports referenced
below.

Resolution/scale

National

Lineage

Created by the National Native Title Tribunal in 1994 and continuously updated
and maintained.

Citation

Products using this data should acknowledge the National Native Title Tribunal
as the data source.

Updates

None planned for this interface. Daily updates are available from
http://www.nntt.gov.au/assistance/Geospatial/Pages/Spatial-aata.aspx

Data release date

30 August 2018

Considerations

This data is supplied by the National Native Title Tribunal (NNTT). For more
information on the NNTT visit the NNTT website
http://www.nntt.gov.au/aboutus/Pages/default.aspx. To download spatial data and
the full metadata go to
http://www.nntt.gov.au/assistance/Geospatial/Pages/Spatial-aata.aspx

Data quality

While the National Native Title Tribunal (NNTT) and the Native Title Registrar
(Registrar) have exercised due care in ensuring the accuracy of the information
provided, it is provided for general information only and on the understanding
that neither the NNTT, the Registrar nor the Commonwealth of Australia is
providing professional advice. Appropriate professional advice relevant to your
circumstances should be sought rather than relying on the information provided.
In addition, you must exercise your own judgment and carefully evaluate the
information provided for accuracy, currency, completeness and relevance for the
purpose for which it is to be used.

The information provided is often supplied by, or based on, data and information
from external sources, therefore the NNTT and Registrar cannot guarantee that
the information is accurate or up-to-date.

The NNTT and Registrar expressly disclaim any liability arising from the use of
this information.

This information should not be relied upon in relation to any matters associated
with cultural heritage.

License and availability

Creative Commons Attribution 4.0 International Licence (CC-BY). Data can be
downloaded from https://data.csiro.au

References

Barber M and Woodward E (2018) Indigenous water values, rights, interests and
development objectives in the Fitzroy catchment. A technical report to the
Australian Government from the CSIRO Northern Australia Water Resource
Assessment, part of the National Water Infrastructure Development Fund: Water
Resource Assessments. CSIRO, Australia.

Barber M (2018) Indigenous water values, rights, interests and development
objectives in the Darwin catchments. A technical report to the Australian
Government from the CSIRO Northern Australia Water Resource Assessment, part of
the National Water Infrastructure Development Fund: Water Resource Assessments.
CSIRO, Australia.

Lyons I and Barber M (2018) Indigenous water values, rights, interests and
development objectives in the Mitchell catchment. A technical report to the
Australian Government from the CSIRO Northern Australia Water Resource
Assessment, part of the National Water Infrastructure Development Fund: Water
Resource Assessments. CSIRO, Australia.

×

ABORIGINAL LAND OF NORTHERN TERRITORY

Title

Aboriginal land held under the Aboriginal Land Rights Act (Northern Territory)
and Aboriginal land (NT enhanced freehold)

Description and Purpose

This dataset shows boundaries of land collectively owned by Aboriginal groups
able to demonstrate traditional association with that land in order to satisfy
the requirements of the Aboriginal Land Rights (Northern Territory) Act 1976.
The landholding is under a form of collective freehold title unique to the
Northern Territory. It is the dominant form of Indigenous customary land
ownership in the NAWRA Darwin catchments, and is shown here to complement
registered claims and agreements under the Native Title regime.

Resolution/scale

Northern Territory

Lineage

Based on data supplied by the Northern Land Council in 2017.

Citation

Products using this data should cite the Northern Land Council as the source.

Updates

None planned for this interface

Data release date

30 August 2018

Considerations

Refer to the Northern Land Council for further information.

Data quality

The Northern Land Council and CSIRO have exercised due care in ensuring the
accuracy of the information provided, but it is provided for general information
only and does not constitute professional advice. Northern Land Council and
CSIRO expressly disclaim any liability arising from the use of this information.
This information should not be relied upon in relation to any matters associated
with cultural heritage.

License and availability

Creative Commons Attribution 4.0 International Licence (CC-BY). Refer to the
Northern Land Council for further information.

References

Barber M (2018) Indigenous water values, rights, interests and development
objectives in the Darwin catchments. A technical report to the Australian
Government from the CSIRO Northern Australia Water Resource Assessment, part of
the National Water Infrastructure Development Fund: Water Resource Assessments.
CSIRO, Australia.

×

BIODIVERSITY STATUS OF REMNANT REGIONAL ECOSYSTEMS

Title

Remnant vegetation cover - 2015 - Queensland and Regional Ecosystem Description
Database (REDD). Data source - Queensland Herbarium, Department of Environment
and Science

Description and Purpose

Delineation of remnant/non-remnant vegetation, remnant regional ecosystems,
biodiversity status, cleared areas and other features for Queensland. Regional
ecosystems are vegetation communities in a bioregion that are consistently
associated with a particular combination of geology, landform and soil (Sattler
and Williams 1999). The mapping of 2015 remnant vegetation cover of Queensland
provides information for regional groups, non-government organisations,
government departments, local government and industry, for planning and
management purposes.

Database - Regional ecosystem descriptions are maintained in the Regional
Ecosystem Description Database (REDD) and accompanies the Queensland Herbarium
regional ecosystem mapping.

These datasets were used to identify ecological assets for NAWRA. Other
ecological datasets used are described in the NAWRA ecological asset description
report, Pollino et al. (2018) referenced below.

Resolution/scale

1:100000

Lineage

2015 Landsat imagery supplied by SLATS, DES. Aerial photography from various
years. Individual remnant vegetation cover layers are working datasets updated
at 2 yearly intervals and are used to derive the remnant vegetation communities
and regional ecosystem layers from the pre-clearing coverage. Refer to
information contained in the Methodology for Vegetation Survey and Mapping of
Queensland. Polygons were sampled depending on accessibility and time
constraints. These data were produced at a scale of 1:100,000 therefore the
precision of polygon boundaries, drawn at a larger scale (eg: 1:50,000), will be
affected.

Database - The development and refinement of the regional ecosystem
classification and mapping of Queensland is described in Queensland's Regional
Ecosystems. Building and maintaining a biodiversity inventory, planning
framework and information system for Queensland

Citation

Spatial data - State of Queensland (Department of Environment and Science) 2018.
Updated data available at http://qldspatial.information.qld.gov.au/catalogue

Database - Queensland Herbarium (2018) Regional Ecosystem Description Database
(REDD). Version 10.1 (March 2018) (DSITI: Brisbane)

Updates

None planned for this interface.

Regional ecosystems, their status and the database will continue to be revised
and refined as more information becomes available. Users should check regularly
for the latest versions and reference the information accordingly

Data release date

Spatial data 2015 Database REDD March 2018

Considerations

Spatial data - see full metadata for considerations
http://qldspatial.information.qld.gov.au/catalogue/custom/viewMetadataDetails.page?uuid=%7BF5CF90D6-5881-4D8F-9581-D8F55D25F9CE%7D

Database - see full metadata for considerations
http://qldspatial.information.qld.gov.au/catalogue/custom/viewMetadataDetails.page?uuid=%7BF5CF90D6-5881-4D8F-9581-D8F55D25F9CE%7D

Data quality

Spatial data - see full metadata for data quality
http://qldspatial.information.qld.gov.au/catalogue/custom/viewMetadataDetails.page?uuid=%7BF5CF90D6-5881-4D8F-9581-D8F55D25F9CE%7D

Database - The database was developed using data compiled by the State of
Queensland as represented by the Queensland Herbarium, Department of Environment
and Science. While every effort has been made to ensure that the material
contained in the database is accurate, the State of Queensland accepts no
liability and gives no assurance in respect of its accuracy and shall not be
liable for any loss or damage arising from the use of the database

License and availability

Spatial data - Creative Commons Attribution 4.0 Australia Licence. This data is
supplied by the Queensland Government. For more information and to download the
spatial data visit
https://www.qld.gov.au/environment/plants-animals/plants/ecosystems/remnant-vegetation

Database - Creative Commons Attribution 3.0 International Licence (CC-BY). Data
can be downloaded from
https://www.qld.gov.au/environment/plants-animals/plants/ecosystems/download

References

Pollino CA, Barber E, Buckworth R, Cadiegues M, Deng A, Ebner B, Kenyon R,
Liedloff A, Merrin LE, Moeseneder C, Morgan D, Nielsen DL, O'Sullivan J, Ponce
Reyes R, Robson BJ, Stratford DS, Stewart-Koster B, and Turschwell M (2018)
Synthesis of knowledge to support the assessment of impacts of water resource
development to ecological assets in northern Australia: asset descriptions. A
technical report to the Australian Government from the CSIRO Northern Australia
Water Resource Assessment, part of the National Water Infrastructure Development
Fund: Water Resource Assessments. CSIRO, Australia.

×

VEGETATION MANAGEMENT ACT PROPERTY MAPS OF ASSESSABLE VEGETATION


×

WETLANDS OF NATIONAL IMPORTANCE

Title

Directory of Important Wetlands in Australia (DIWA) Spatial Database (Public).
Data source - Australian Department of the Environment

Description and Purpose

This is a polygon coverage representing the wetlands of national importance as
cited in the "A Directory of Important Wetlands in Australia" Third Edition (EA,
2001), plus various additions for wetlands listed after 2001. The criteria for
the definition of a wetland used in this dataset is that adopted by the Ramsar
Convention, namely: "areas of marsh, fen, peatland or water, whether natural or
artificial, permanent or temporary, with water that is static or flowing, fresh,
brackish or salt, including areas of marine water the depth of which at low tide
does not exceed six meters." This coverage is a compilation of various data
sources and has been collected using a variety of methods. This dataset should
therefore be used as an indicative guide only to wetland boundaries and
locations. The data has been collated by the Australian Government Department of
the Environment from various datasets including those supplied by the relevant
State agencies.

For the identification of wetland boundaries or locations in regard to the
compliance of activities with relevant State legislation, the relevant State
authority should be contacted to obtain the most recent and accurate wetland
boundary information available.

This dataset was one of the datasets used to identify ecological assets for
NAWRA. Other ecological datasets used are described in the NAWRA ecological
asset description report, Pollino et al. (2018) referenced below.

Resolution/scale

Various depending on the source data. See below lineage

Lineage

The coverage was largely derived from the TOPO250K.WATERBOD coverage (AUSLIG,
1992).

A significant portion of some of the wetland boundaries for each state have also
been supplied directly from the relevant state agencies. These include the QLD
Environmental Protection Agency, NSW Department of Environment and Conservation,
and the Victorian Department of Sustainability and Environment. Data supplied
from State agencies may have been collected using different collection methods.
These may include remotely sensed images and digitized boundaries from
topographic maps or aerial photos.

In general the accuracy of wetland boundaries may be taken to be approximately
+/- 250m in most cases. In considering the accuracy of the wetland boundaries,
users of this data should be aware of the dynamic nature of wetland boundaries
and their likelihood of experiencing significant alteration over time due to
climatic conditions.

Citation

Department of the Environment (2015) Directory of Important Wetlands in
Australia (DIWA) Spatial Database (Public). Bioregional Assessment Source
Dataset
http://data.bioregionalassessments.gov.au/dataset/6636846e-e330-4110-afbb-7b89491fe567

Updates

None planned for this interface

Data release date

4 September 2018

Considerations

Several considerations are listed in the description and lineage sections of
this metadata record. The full metadata record should be referenced for all
information https://data.gov.au/dataset/6636846e-e330-4110-afbb-7b89491fe567

Data quality

In general the accuracy of wetland boundaries may be taken to be approximately
+/- 250m in most cases

License and availability

Creative Commons Attribution 3.0 Australia,
http://creativecommons.org/licenses/by/3.0/au/ (c) Commonwealth of Australia
(Department of the Environment). This data is supplied by the Australian
Department of the Environment, Bioregional Assessment Programme. For the full
metadata record and to download the spatial data go to
https://data.gov.au/dataset/6636846e-e330-4110-afbb-7b89491fe567

References

Pollino CA, Barber E, Buckworth R, Cadiegues M, Deng A, Ebner B, Kenyon R,
Liedloff A, Merrin LE, Moeseneder C, Morgan D, Nielsen DL, O'Sullivan J, Ponce
Reyes R, Robson BJ, Stratford DS, Stewart-Koster B, and Turschwell M (2018)
Synthesis of knowledge to support the assessment of impacts of water resource
development to ecological assets in northern Australia: asset descriptions. A
technical report to the Australian Government from the CSIRO Northern Australia
Water Resource Assessment, part of the National Water Infrastructure Development
Fund: Water Resource Assessments. CSIRO, Australia.

×

FLOOD INUNDATION

Title

Flood inundation maps generated by the Northern Australia Water Resource
Assessment

Description and Purpose

This dataset provides flood inundation extent and duration for the Fitzroy,
Darwin and Mitchell catchments in Northern Australia for floods of different
magnitudes and duration. The maps present the inundation duration in days for
individual flood event. The main purpose of this data is to quantify the changes
in flood inundation dynamics due to climate change and land development and to
assess the ecological impacts of changed inundation metrics and hydrological
connectivity.

Resolution/scale

30m pixel (Fitzroy and Mitchell), 60m pixel (Darwin)

Lineage

These data were generated from hydrodynamic modelling (MIKE21 model) results.
Model outputs were processed in ArcGIS. Inundation extent/ duration was
estimated by accumulating six hourly model outputs for the simulation period of
40 days. The data represent number of days each computational grid (30m x 30m)
was inundated during the entire simulation period.

Citation

Karim, Fazlul; Pena Arancibia, Jorge; Ticehurst, Catherine; Marvanek, Steve;
Gallant, John; Hughes, Justin; et al. Floodplain inundation mapping and
modelling for the Fitzroy, Darwin and Mitchell catchments. Canberra: CSIRO Land
and Water; 2018.

Updates

None planned

Data release date

1 August 2018

Considerations

In the Fitzroy catchment the hydrodynamic model was able to simulate spatial
floodplain inundation patterns well (when compared to MODIS and Landsat water
maps). The hydrodynamic models had reasonable skill in the Darwin and Mitchell
catchments. The accuracy and reliability of hydrodynamic model simulations are a
function of the input data quality, particularly topographic data. The overall
hydrodynamic model performance for all the three catchments was better for large
floods than medium sized events, and better for medium sized events than small
events.

Data quality

These are the processed data in tiff format. The data have been cross-checked
for consistency and reliability

License and availability

Creative Commons Attribution 3.0 Australia,
http://creativecommons.org/licenses/by/3.0/au/ (c) Commonwealth of Australia
(Department of the Environment). This data is supplied by the Australian
Department of the Environment, Bioregional Assessment Programme. For the full
metadata record and to download the spatial data go to
https://data.gov.au/dataset/6636846e-e330-4110-afbb-7b89491fe567

×

OBSERVED STREAMFLOW DATA

Data is sourced from BOM online water data service. For detailed information
about this data set, please click here.
×

WATER HARVESTING

Water harvesting at a node means that water is extacted from the reach
immediately upstream of that node. The following parameters can be changed by
users.

 * MPVol (GL/year) = Maximum Pumped Volume: the maximum annual volume of water
   that can be extracted (i.e. pumped or diverted) from the selected reach.
   
   
 * MPRate (ML/day) = Maximum pump rate: the maximum volume of water that can be
   pumped each day from the selected reach. This may correspond to the capacity
   of potential pumping infrastyructure or a potential licence condition.
   
   
 * PSThreshold (ML/year) = Pump start threshold: the minimum daily streamflow
   required for pumping to commence. No water will be extracted when the daily
   stream flow is less than rate. This may coorespond to a physical limiation in
   the river reach or may be a potential licence condition.
   
   
 * RoS (GL/year) = Requirement of the system: the annual volume of water
   required for the node to secure. No water harvesting occurs across the entire
   river system till the node secure this volume of water every year.

×

RETRIEVING RESERVOIR CHARACTERISTICS...


×

RETRIEVING RESERVOIR YIELD...


×

ABOUT


NORTHERN AUSTRALIA WATER RESOURCE ASSESSMENT EXPLORER




The Northern Australia Water Resource Assessment provides a comprehensive and
integrated evaluation of the feasibility, economic viability and sustainability
of water and agricultural development in three priority regions. The Assessment
focused on the Fitzroy catchment in Western Australia, the Darwin catchments
(Adelaide, Finniss, Mary and Wildman) in the Northern Territory and the Mitchell
catchment in Queensland.

The Northern Australia Water Resource Assessment Explorer (NAWRA-explorer)
enables the user to simultaneously integrate key datasets generated by the
Northern Australia Water Resource Assessment.

CSIRO advises that the information displayed by the NAWRA-explorer is most
suited at the regional-scale. The level of detail is not suitable for
enterprise-scale planning.

The user is advised and needs to be aware that the information displayed by the
NAWRA-explorer:

 * may be incomplete;
 * may not be accurate;
 * may not be current; and
 * is not appropriate for use in, or applicable to, every situation.




No reliance or actions must be made on the NAWRA-explorer without seeking prior
expert professional, scientific and technical advice.

To the maximum extent permitted by law, CSIRO (including its employees and
consultants) excludes all liability to any person for any consequences,
including but not limited to all losses, damages, costs, expenses and any other
compensation, arising directly or indirectly from using, or relying on, this
website (in part or in whole) and any information or material contained in it.

Prior to viewing or interrogating a dataset the user must read the metadata
statement provided by clicking on the button.

Further accessibility support resources can be found in the form of the
published reports or by downloading the data from the CSIRO Data Access Portal.
You may also contact us if you have any feedback, comments or enquiries.




NORTHERN AUSTRALIA WATER RESOURCE ASSESSMENT EXPLORER


 * LAND SUITABILITY


 * SOIL


 * WATER STORAGE


 * SURFACE WATER


 * GROUNDWATER


 * CLIMATE


 * ECOLOGY


 * INDIGENOUS INTERESTS


 * DESIGN HYDROLOGY


 * RIVER SYSTEM

 * 

 * Measure distance
 * Clear measurement



←Move left→Move right↑Move up↓Move down+Zoom in-Zoom outHomeJump left by
75%EndJump right by 75%Page UpJump up by 75%Page DownJump down by 75%

To navigate, press the arrow keys.







LAND SUITABILITY:

60 %
Assessment of the land suitability of soils for a range of crops, planting
seasons and irrigation management regimes.
African Mahogany, Perennial, Furrow African Mahogany, Perennial, Rainfed African
Mahogany, Perennial, Trickle Almond, Perennial, Mini Sprinklers Asian
Vegetables, Dry Season, Trickle Asparagus, Dry Season, Spray (overhead)
Asparagus, Dry Season, Trickle Avocado, Perennial, Mini Sprinklers Banana,
Perennial, Spray (overhead) Banana, Perennial, Trickle Capsicum Chilli, Dry
Season, Furrow Capsicum Chilli, Dry Season, Spray (overhead) Capsicum Chilli,
Dry Season, Trickle Carambola, Perennial, Trickle Caribbean Pine, Perennial,
Trickle Cashew, Perennial, Spray (overhead) Cashew, Perennial, Trickle Cassava,
Wet Season, Furrow Cassava, Wet Season, Rainfed Cassava, Wet Season, Spray
(overhead) Chia, Dry Season, Furrow Chia, Dry Season, Spray (overhead) Chia, Wet
or Dry Season, Rainfed Chickpea, Dry Season, Furrow Chickpea, Dry Season, Spray
(overhead) Chickpea, Wet or Dry Season, Rainfed Citrus, Perennial, Mini
Sprinklers Coffee, Perennial, Mini Sprinklers Cotton, Dry Season, Furrow Cotton,
Dry Season, Spray (overhead) Cotton, Wet Season, Furrow Cotton, Wet Season,
Rainfed Cotton, Wet Season, Spray (overhead) Cucurbit, Dry Season, Furrow
Cucurbit, Dry Season, Spray (overhead) Cucurbit, Dry Season, Trickle Cucurbit,
Wet Season, Rainfed Cucurbit, Wet Season, Spray (overhead) Cucurbit, Wet Season,
Trickle Custard Apple, Perennial, Trickle Eggplant, Dry Season, Furrow Eggplant,
Dry Season, Trickle Grape, Perennial, Trickle Indian Sandalwood, Perennial,
Furrow Indian Sandalwood, Perennial, Mini Sprinklers Lablab, Dry Season, Furrow
Lablab, Dry Season, Spray (overhead) Lablab, Wet Season, Furrow Lablab, Wet
Season, Rainfed Lablab, Wet Season, Spray (overhead) Lentil, Dry Season, Furrow
Lentil, Dry Season, Spray (overhead) Lentil, Wet or Dry Season, Rainfed Lucerne,
Wet Season, Spray (overhead) Lychee, Perennial, Mini Sprinklers Macadamia,
Perennial, Mini Sprinklers Maize Grain, Dry Season, Furrow Maize Grain, Dry
Season, Spray (overhead) Maize Grain, Wet Season, Furrow Maize Grain, Wet
Season, Rainfed Maize Grain, Wet Season, Spray (overhead) Maize - Silage, Dry
Season, Furrow Maize - Silage, Dry Season, Spray (overhead) Maize - Silage, Wet
Season, Furrow Maize - Silage, Wet Season, Rainfed Maize - Silage, Wet Season,
Spray (overhead) Mango, Perennial, Spray (overhead) Mango, Perennial, Trickle
Millet, Dry Season, Furrow Millet, Dry Season, Spray (overhead) Millet, Wet
Season, Furrow Millet, Wet Season, Rainfed Millet, Wet Season, Spray (overhead)
Mung Bean, Dry Season, Furrow Mung Bean, Dry Season, Spray (overhead) Mung Bean,
Wet or Dry Season, Rainfed Mung Bean, Wet Season, Furrow Mung Bean, Wet Season,
Spray (overhead) Navy Bean, Dry Season, Furrow Navy Bean, Dry Season, Spray
(overhead) Navy Bean, Wet or Dry Season, Rainfed Navy Bean, Wet Season, Furrow
Navy Bean, Wet Season, Spray (overhead) Oats, Dry Season, Furrow Oats, Dry
Season, Spray (overhead) Papaya, Perennial, Spray (overhead) Papaya, Perennial,
Trickle Peanut, Dry Season, Furrow Peanut, Dry Season, Spray (overhead) Peanut,
Wet Season, Furrow Peanut, Wet Season, Rainfed Peanut, Wet Season, Spray
(overhead) Pineapple, Perennial, Spray (overhead) Pineapple, Perennial, Trickle
Poppy Medicinal, Dry Season, Furrow Poppy Medicinal, Dry Season, Spray
(overhead) Quinoa, Dry Season, Furrow Quinoa, Dry Season, Spray (overhead)
Quinoa, Wet or Dry Season, Rainfed Rhodes Grass, Wet Season, Furrow Rhodes
Grass, Wet Season, Spray (overhead) Rice Lowland, Dry Season, Flood Rice
Lowland, Dry Season, Furrow Rice Lowland, Wet Season, Flood Rice Lowland, Wet
Season, Furrow Rice Upland, Dry Season, Spray (overhead) Rice Upland, Wet
Season, Rainfed Rice Upland, Wet Season, Spray (overhead) Sesame, Dry Season,
Furrow Sesame, Dry Season, Spray (overhead) Sesame, Wet Season, Furrow Sesame,
Wet Season, Rainfed Sesame, Wet Season, Spray (overhead) Snake Beans, Wet
Season, Trickle Sorghum Forage, Dry Season, Furrow Sorghum Forage, Dry Season,
Spray (overhead) Sorghum Forage, Wet Season, Furrow Sorghum Forage, Wet Season,
Rainfed Sorghum Forage, Wet Season, Spray (overhead) Sorghum Grain, Dry Season,
Furrow Sorghum Grain, Dry Season, Spray (overhead) Sorghum Grain, Wet Season,
Furrow Sorghum Grain, Wet Season, Rainfed Sorghum Grain, Wet Season, Spray
(overhead) Soybean, Dry Season, Furrow Soybean, Dry Season, Spray (overhead)
Soybean, Wet or Dry Season, Rainfed Soybean, Wet Season, Furrow Soybean, Wet
Season, Spray (overhead) Spotted Gum, Perennial, Trickle Spotted Gum, Perennial,
Rainfed Sugarcane, Perennial, Furrow Sugarcane, Perennial, Rainfed Sugarcane,
Perennial, Spray (overhead) Sugarcane, Perennial, Trickle Sunflower, Dry Season,
Furrow Sunflower, Dry Season, Spray (overhead) Sunflower, Wet Season, Furrow
Sunflower, Wet Season, Spray (overhead) Sweet Corn, Dry Season, Furrow Sweet
Corn, Dry Season, Spray (overhead) Sweet Corn, Dry Season, Trickle Sweet Corn,
Wet Season, Furrow Sweet Corn, Wet Season, Spray (overhead) Sweet Corn, Wet
Season, Trickle Sweet Potato, Dry Season, Furrow Sweet Potato, Dry Season, Spray
(overhead) Sweet Potato, Wet Season, Furrow Sweet Potato, Wet Season, Spray
(overhead) Teak, Perennial, Furrow Teak, Perennial, Trickle Tomato, Dry Season,
Furrow Tomato, Dry Season, Spray (overhead) Tomato, Dry Season, Trickle
Sorghum Forage, Dry Season, Spray (overhead)
 * 
 * African Mahogany, Perennial, Furrow
 * African Mahogany, Perennial, Rainfed
 * African Mahogany, Perennial, Trickle
 * Almond, Perennial, Mini Sprinklers
 * Asian Vegetables, Dry Season, Trickle
 * Asparagus, Dry Season, Spray (overhead)
 * Asparagus, Dry Season, Trickle
 * Avocado, Perennial, Mini Sprinklers
 * Banana, Perennial, Spray (overhead)
 * Banana, Perennial, Trickle
 * Capsicum Chilli, Dry Season, Furrow
 * Capsicum Chilli, Dry Season, Spray (overhead)
 * Capsicum Chilli, Dry Season, Trickle
 * Carambola, Perennial, Trickle
 * Caribbean Pine, Perennial, Trickle
 * Cashew, Perennial, Spray (overhead)
 * Cashew, Perennial, Trickle
 * Cassava, Wet Season, Furrow
 * Cassava, Wet Season, Rainfed
 * Cassava, Wet Season, Spray (overhead)
 * Chia, Dry Season, Furrow
 * Chia, Dry Season, Spray (overhead)
 * Chia, Wet or Dry Season, Rainfed
 * Chickpea, Dry Season, Furrow
 * Chickpea, Dry Season, Spray (overhead)
 * Chickpea, Wet or Dry Season, Rainfed
 * Citrus, Perennial, Mini Sprinklers
 * Coffee, Perennial, Mini Sprinklers
 * Cotton, Dry Season, Furrow
 * Cotton, Dry Season, Spray (overhead)
 * Cotton, Wet Season, Furrow
 * Cotton, Wet Season, Rainfed
 * Cotton, Wet Season, Spray (overhead)
 * Cucurbit, Dry Season, Furrow
 * Cucurbit, Dry Season, Spray (overhead)
 * Cucurbit, Dry Season, Trickle
 * Cucurbit, Wet Season, Rainfed
 * Cucurbit, Wet Season, Spray (overhead)
 * Cucurbit, Wet Season, Trickle
 * Custard Apple, Perennial, Trickle
 * Eggplant, Dry Season, Furrow
 * Eggplant, Dry Season, Trickle
 * Grape, Perennial, Trickle
 * Indian Sandalwood, Perennial, Furrow
 * Indian Sandalwood, Perennial, Mini Sprinklers
 * Lablab, Dry Season, Furrow
 * Lablab, Dry Season, Spray (overhead)
 * Lablab, Wet Season, Furrow
 * Lablab, Wet Season, Rainfed
 * Lablab, Wet Season, Spray (overhead)
 * Lentil, Dry Season, Furrow
 * Lentil, Dry Season, Spray (overhead)
 * Lentil, Wet or Dry Season, Rainfed
 * Lucerne, Wet Season, Spray (overhead)
 * Lychee, Perennial, Mini Sprinklers
 * Macadamia, Perennial, Mini Sprinklers
 * Maize Grain, Dry Season, Furrow
 * Maize Grain, Dry Season, Spray (overhead)
 * Maize Grain, Wet Season, Furrow
 * Maize Grain, Wet Season, Rainfed
 * Maize Grain, Wet Season, Spray (overhead)
 * Maize - Silage, Dry Season, Furrow
 * Maize - Silage, Dry Season, Spray (overhead)
 * Maize - Silage, Wet Season, Furrow
 * Maize - Silage, Wet Season, Rainfed
 * Maize - Silage, Wet Season, Spray (overhead)
 * Mango, Perennial, Spray (overhead)
 * Mango, Perennial, Trickle
 * Millet, Dry Season, Furrow
 * Millet, Dry Season, Spray (overhead)
 * Millet, Wet Season, Furrow
 * Millet, Wet Season, Rainfed
 * Millet, Wet Season, Spray (overhead)
 * Mung Bean, Dry Season, Furrow
 * Mung Bean, Dry Season, Spray (overhead)
 * Mung Bean, Wet or Dry Season, Rainfed
 * Mung Bean, Wet Season, Furrow
 * Mung Bean, Wet Season, Spray (overhead)
 * Navy Bean, Dry Season, Furrow
 * Navy Bean, Dry Season, Spray (overhead)
 * Navy Bean, Wet or Dry Season, Rainfed
 * Navy Bean, Wet Season, Furrow
 * Navy Bean, Wet Season, Spray (overhead)
 * Oats, Dry Season, Furrow
 * Oats, Dry Season, Spray (overhead)
 * Papaya, Perennial, Spray (overhead)
 * Papaya, Perennial, Trickle
 * Peanut, Dry Season, Furrow
 * Peanut, Dry Season, Spray (overhead)
 * Peanut, Wet Season, Furrow
 * Peanut, Wet Season, Rainfed
 * Peanut, Wet Season, Spray (overhead)
 * Pineapple, Perennial, Spray (overhead)
 * Pineapple, Perennial, Trickle
 * Poppy Medicinal, Dry Season, Furrow
 * Poppy Medicinal, Dry Season, Spray (overhead)
 * Quinoa, Dry Season, Furrow
 * Quinoa, Dry Season, Spray (overhead)
 * Quinoa, Wet or Dry Season, Rainfed
 * Rhodes Grass, Wet Season, Furrow
 * Rhodes Grass, Wet Season, Spray (overhead)
 * Rice Lowland, Dry Season, Flood
 * Rice Lowland, Dry Season, Furrow
 * Rice Lowland, Wet Season, Flood
 * Rice Lowland, Wet Season, Furrow
 * Rice Upland, Dry Season, Spray (overhead)
 * Rice Upland, Wet Season, Rainfed
 * Rice Upland, Wet Season, Spray (overhead)
 * Sesame, Dry Season, Furrow
 * Sesame, Dry Season, Spray (overhead)
 * Sesame, Wet Season, Furrow
 * Sesame, Wet Season, Rainfed
 * Sesame, Wet Season, Spray (overhead)
 * Snake Beans, Wet Season, Trickle
 * Sorghum Forage, Dry Season, Furrow
 * Sorghum Forage, Dry Season, Spray (overhead)
 * Sorghum Forage, Wet Season, Furrow
 * Sorghum Forage, Wet Season, Rainfed
 * Sorghum Forage, Wet Season, Spray (overhead)
 * Sorghum Grain, Dry Season, Furrow
 * Sorghum Grain, Dry Season, Spray (overhead)
 * Sorghum Grain, Wet Season, Furrow
 * Sorghum Grain, Wet Season, Rainfed
 * Sorghum Grain, Wet Season, Spray (overhead)
 * Soybean, Dry Season, Furrow
 * Soybean, Dry Season, Spray (overhead)
 * Soybean, Wet or Dry Season, Rainfed
 * Soybean, Wet Season, Furrow
 * Soybean, Wet Season, Spray (overhead)
 * Spotted Gum, Perennial, Trickle
 * Spotted Gum, Perennial, Rainfed
 * Sugarcane, Perennial, Furrow
 * Sugarcane, Perennial, Rainfed
 * Sugarcane, Perennial, Spray (overhead)
 * Sugarcane, Perennial, Trickle
 * Sunflower, Dry Season, Furrow
 * Sunflower, Dry Season, Spray (overhead)
 * Sunflower, Wet Season, Furrow
 * Sunflower, Wet Season, Spray (overhead)
 * Sweet Corn, Dry Season, Furrow
 * Sweet Corn, Dry Season, Spray (overhead)
 * Sweet Corn, Dry Season, Trickle
 * Sweet Corn, Wet Season, Furrow
 * Sweet Corn, Wet Season, Spray (overhead)
 * Sweet Corn, Wet Season, Trickle
 * Sweet Potato, Dry Season, Furrow
 * Sweet Potato, Dry Season, Spray (overhead)
 * Sweet Potato, Wet Season, Furrow
 * Sweet Potato, Wet Season, Spray (overhead)
 * Teak, Perennial, Furrow
 * Teak, Perennial, Trickle
 * Tomato, Dry Season, Furrow
 * Tomato, Dry Season, Spray (overhead)
 * Tomato, Dry Season, Trickle

 * Highly suitable land with negligible limitations
 * Suitable land with minor limitations
 * Moderately suitable land with considerable limitations
 * Currently unsuitable land with severe limitations
 * Unsuitable land with extreme limitations

Low
Mid
High



MULTI-LAND SUITABILITY:

Overlay and assess multiple land uses.
Add Current Refresh Map Clear All


RINGTANKS:

60 %
Show soils that are likely to be suitable for constructing large farm-scale
ringtanks.
 * Likely to be suitable
 * Possibly suitable
 * Unlikely to be suitable
 * Not suitable


GULLY DAM SUITABILITY:

60 %
Show soils that are likely to be suitable for constructing gully dams.
 * Likely suitable
 * Unlikely to be suitable


SOIL ATTRIBUTES:

60 %
18 soil attribute raster datasets were produced by digital soil mapping (DSM)
techniques for the Northern Australia Water Resource Assessment (NAWRA). These
18 attributes provide data on the inherent properties of soil and underpin the
land suitability framework.
Clay Content Depth of A Horizon Drainage Soil Erodibility Factor Microrelief
Organic Carbon Available Water Capacity @ 100 cm Available Water Capacity @ 150
cm Available Water Capacity @ 60 cm Permeability Rockiness Soil Generic Group
Soil Depth Surface Clay Percent Surface ESP Surface pH Surface Condition Surface
Salinity Surface Structure Surface Texture
Soil Generic Group
 * 
 * Clay Content
 * Depth of A Horizon
 * Drainage
 * Soil Erodibility Factor
 * Microrelief
 * Organic Carbon
 * Available Water Capacity @ 100 cm
 * Available Water Capacity @ 150 cm
 * Available Water Capacity @ 60 cm
 * Permeability
 * Rockiness
 * Soil Generic Group
 * Soil Depth
 * Surface Clay Percent
 * Surface ESP
 * Surface pH
 * Surface Condition
 * Surface Salinity
 * Surface Structure
 * Surface Texture





WATER STORAGE:

Investigate potential dam locations. Select either large roller compacted
concrete (RCC) or farm-scale gully dams. Colour of dam marker indicates minimum
cost per ML of water that could potentially be released from the dam wall.
Rivers shown by coloured lines where the colour of the line corresponds to the
area of the catchment.
For RCC dams modelled preliminary cost estimate is likely to be -25% to +75% of
'true' cost. Should site geotechnical investigations reveal unknown unfavourable
geological conditions, costs could be substantially higher.
RCC Dam Farm Dam
RCC Dam
 * RCC Dam
 * Farm Dam

 * Costs < $300/ML
 * Costs $300 - $500/ML
 * Costs $500 - $1,000/ML
 * Costs $1,000 - $2,000/ML
 * Costs $2,000 - $4,000/ML
 * Costs > $4,000/ML


RESERVOIR INFO:

Click a location to explore...
Reservoir Full Supply Level:
45 m


0
25
50
75




Cost ($million):... Cost ($/ML):... Reservoir Capacity:... Reservoir Surface
Area:... Catchment Area:... Elevation:...

HSAV Plot Yield Plot
 * Catchment 40 %
 * Lake Reservoir 40 %
 * Dam wall & saddle dams 100 %


FLOOD INUNDATION:

35 %
Maximum percentage of MODIS satellite pixel inundated between 2000 and 2016.
Provides an indication of the extent of broad scale flooding.
 * 80 % - 100 % of pixel inundated
 * 50 % - 79 % of pixel inundated
 * 20 % - 49 % of pixel inundated
   


OBSERVED STREAMFLOW

Observed streamflow at selected streamflow gauging stations. Streamflow data
updated in near real time. Click on location to display observed streamflow
timeseries. Brush/click and drag to zoom in on timesries.


WATER/WETNESS OBSERVATIONS AT A GIVEN TIME (BETA):

Water/wetness inferred from Landsat (satellite) imagery to assist identify
features such as persistent waterholes, wetlands, groundwater dependent
ecosystems, reservoirs and wet soils.
July 2024 June 2024 May 2024 April 2024 March 2024 February 2024 January 2024
December 2023 November 2023 October 2023 September 2023 August 2023 July 2023
June 2023 May 2023 April 2023 March 2023 February 2023 January 2023 December
2022 November 2022 October 2022 September 2022 August 2022 July 2022 June 2022
May 2022 April 2022 March 2022 February 2022 January 2022 December 2021 November
2021 October 2021 September 2021 August 2021 July 2021 June 2021 May 2021 April
2021 March 2021 February 2021 January 2021 December 2020 November 2020 October
2020 September 2020 August 2020 July 2020 June 2020 May 2020 April 2020 March
2020 February 2020 January 2020 December 2019 November 2019 October 2019
September 2019 August 2019 July 2019 June 2019 May 2019 April 2019 March 2019
February 2019 January 2019 December 2018 November 2018 October 2018 September
2018 August 2018 July 2018 June 2018 May 2018 April 2018 March 2018 February
2018 January 2018 December 2017 November 2017 October 2017 September 2017 August
2017 July 2017 June 2017 May 2017 April 2017 March 2017 February 2017 January
2017 December 2016 November 2016 October 2016 September 2016 August 2016 July
2016 June 2016 May 2016 April 2016 March 2016 February 2016 January 2016
December 2015 November 2015 October 2015 September 2015 August 2015 July 2015
June 2015 May 2015 April 2015 March 2015 February 2015 January 2015 December
2014 November 2014 October 2014 September 2014 August 2014 July 2014 June 2014
May 2014 April 2014 March 2014 February 2014 January 2014 December 2013 November
2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April
2013 March 2013 February 2013 January 2013 December 2012 November 2012 October
2012 September 2012 August 2012 July 2012 June 2012 May 2012 April 2012 March
2012 February 2012 January 2012 December 2011 November 2011 October 2011
September 2011 August 2011 July 2011 June 2011 May 2011 April 2011 March 2011
February 2011 January 2011 December 2010 November 2010 October 2010 September
2010 August 2010 July 2010 June 2010 May 2010 April 2010 March 2010 February
2010 January 2010 December 2009 November 2009 October 2009 September 2009 August
2009 July 2009 June 2009 May 2009 April 2009 March 2009 February 2009 January
2009 December 2008 November 2008 October 2008 September 2008 August 2008 July
2008 June 2008 May 2008 April 2008 March 2008 February 2008 January 2008
December 2007 November 2007 October 2007 September 2007 August 2007 July 2007
June 2007 May 2007 April 2007 March 2007 February 2007 January 2007 December
2006 November 2006 October 2006 September 2006 August 2006 July 2006 June 2006
May 2006 April 2006 March 2006 February 2006 January 2006 December 2005 November
2005 October 2005 September 2005 August 2005 July 2005 June 2005 May 2005 April
2005 March 2005 February 2005 January 2005 December 2004 November 2004 October
2004 September 2004 August 2004 July 2004 June 2004 May 2004 April 2004 March
2004 February 2004 January 2004 December 2003 November 2003 October 2003
September 2003 August 2003 July 2003 June 2003 May 2003 April 2003 March 2003
February 2003 January 2003 December 2002 November 2002 October 2002 September
2002 August 2002 July 2002 June 2002 May 2002 April 2002 March 2002 February
2002 January 2002 December 2001 November 2001 October 2001 September 2001 August
2001 July 2001 June 2001 May 2001 April 2001 March 2001 February 2001 January
2001 December 2000 November 2000 October 2000 September 2000 August 2000 July
2000 June 2000 May 2000 April 2000 March 2000 February 2000 January 2000
July 2024
 * July 2024
 * June 2024
 * May 2024
 * April 2024
 * March 2024
 * February 2024
 * January 2024
 * December 2023
 * November 2023
 * October 2023
 * September 2023
 * August 2023
 * July 2023
 * June 2023
 * May 2023
 * April 2023
 * March 2023
 * February 2023
 * January 2023
 * December 2022
 * November 2022
 * October 2022
 * September 2022
 * August 2022
 * July 2022
 * June 2022
 * May 2022
 * April 2022
 * March 2022
 * February 2022
 * January 2022
 * December 2021
 * November 2021
 * October 2021
 * September 2021
 * August 2021
 * July 2021
 * June 2021
 * May 2021
 * April 2021
 * March 2021
 * February 2021
 * January 2021
 * December 2020
 * November 2020
 * October 2020
 * September 2020
 * August 2020
 * July 2020
 * June 2020
 * May 2020
 * April 2020
 * March 2020
 * February 2020
 * January 2020
 * December 2019
 * November 2019
 * October 2019
 * September 2019
 * August 2019
 * July 2019
 * June 2019
 * May 2019
 * April 2019
 * March 2019
 * February 2019
 * January 2019
 * December 2018
 * November 2018
 * October 2018
 * September 2018
 * August 2018
 * July 2018
 * June 2018
 * May 2018
 * April 2018
 * March 2018
 * February 2018
 * January 2018
 * December 2017
 * November 2017
 * October 2017
 * September 2017
 * August 2017
 * July 2017
 * June 2017
 * May 2017
 * April 2017
 * March 2017
 * February 2017
 * January 2017
 * December 2016
 * November 2016
 * October 2016
 * September 2016
 * August 2016
 * July 2016
 * June 2016
 * May 2016
 * April 2016
 * March 2016
 * February 2016
 * January 2016
 * December 2015
 * November 2015
 * October 2015
 * September 2015
 * August 2015
 * July 2015
 * June 2015
 * May 2015
 * April 2015
 * March 2015
 * February 2015
 * January 2015
 * December 2014
 * November 2014
 * October 2014
 * September 2014
 * August 2014
 * July 2014
 * June 2014
 * May 2014
 * April 2014
 * March 2014
 * February 2014
 * January 2014
 * December 2013
 * November 2013
 * October 2013
 * September 2013
 * August 2013
 * July 2013
 * June 2013
 * May 2013
 * April 2013
 * March 2013
 * February 2013
 * January 2013
 * December 2012
 * November 2012
 * October 2012
 * September 2012
 * August 2012
 * July 2012
 * June 2012
 * May 2012
 * April 2012
 * March 2012
 * February 2012
 * January 2012
 * December 2011
 * November 2011
 * October 2011
 * September 2011
 * August 2011
 * July 2011
 * June 2011
 * May 2011
 * April 2011
 * March 2011
 * February 2011
 * January 2011
 * December 2010
 * November 2010
 * October 2010
 * September 2010
 * August 2010
 * July 2010
 * June 2010
 * May 2010
 * April 2010
 * March 2010
 * February 2010
 * January 2010
 * December 2009
 * November 2009
 * October 2009
 * September 2009
 * August 2009
 * July 2009
 * June 2009
 * May 2009
 * April 2009
 * March 2009
 * February 2009
 * January 2009
 * December 2008
 * November 2008
 * October 2008
 * September 2008
 * August 2008
 * July 2008
 * June 2008
 * May 2008
 * April 2008
 * March 2008
 * February 2008
 * January 2008
 * December 2007
 * November 2007
 * October 2007
 * September 2007
 * August 2007
 * July 2007
 * June 2007
 * May 2007
 * April 2007
 * March 2007
 * February 2007
 * January 2007
 * December 2006
 * November 2006
 * October 2006
 * September 2006
 * August 2006
 * July 2006
 * June 2006
 * May 2006
 * April 2006
 * March 2006
 * February 2006
 * January 2006
 * December 2005
 * November 2005
 * October 2005
 * September 2005
 * August 2005
 * July 2005
 * June 2005
 * May 2005
 * April 2005
 * March 2005
 * February 2005
 * January 2005
 * December 2004
 * November 2004
 * October 2004
 * September 2004
 * August 2004
 * July 2004
 * June 2004
 * May 2004
 * April 2004
 * March 2004
 * February 2004
 * January 2004
 * December 2003
 * November 2003
 * October 2003
 * September 2003
 * August 2003
 * July 2003
 * June 2003
 * May 2003
 * April 2003
 * March 2003
 * February 2003
 * January 2003
 * December 2002
 * November 2002
 * October 2002
 * September 2002
 * August 2002
 * July 2002
 * June 2002
 * May 2002
 * April 2002
 * March 2002
 * February 2002
 * January 2002
 * December 2001
 * November 2001
 * October 2001
 * September 2001
 * August 2001
 * July 2001
 * June 2001
 * May 2001
 * April 2001
 * March 2001
 * February 2001
 * January 2001
 * December 2000
 * November 2000
 * October 2000
 * September 2000
 * August 2000
 * July 2000
 * June 2000
 * May 2000
 * April 2000
 * March 2000
 * February 2000
 * January 2000

 * Wet 70 %
 * Dry 70 %
 * Obscured by cloud 50 %


RUNOFF SURFACES:

80 %
Modelled monthly runoff surfaces between 1900 and 2015.
December 2015 November 2015 October 2015 September 2015 August 2015 July 2015
June 2015 May 2015 April 2015 March 2015 February 2015 January 2015 December
2014 November 2014 October 2014 September 2014 August 2014 July 2014 June 2014
May 2014 April 2014 March 2014 February 2014 January 2014 December 2013 November
2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April
2013 March 2013 February 2013 January 2013 December 2012 November 2012 October
2012 September 2012 August 2012 July 2012 June 2012 May 2012 April 2012 March
2012 February 2012 January 2012 December 2011 November 2011 October 2011
September 2011 August 2011 July 2011 June 2011 May 2011 April 2011 March 2011
February 2011 January 2011 December 2010 November 2010 October 2010 September
2010 August 2010 July 2010 June 2010 May 2010 April 2010 March 2010 February
2010 January 2010 December 2009 November 2009 October 2009 September 2009 August
2009 July 2009 June 2009 May 2009 April 2009 March 2009 February 2009 January
2009 December 2008 November 2008 October 2008 September 2008 August 2008 July
2008 June 2008 May 2008 April 2008 March 2008 February 2008 January 2008
December 2007 November 2007 October 2007 September 2007 August 2007 July 2007
June 2007 May 2007 April 2007 March 2007 February 2007 January 2007 December
2006 November 2006 October 2006 September 2006 August 2006 July 2006 June 2006
May 2006 April 2006 March 2006 February 2006 January 2006 December 2005 November
2005 October 2005 September 2005 August 2005 July 2005 June 2005 May 2005 April
2005 March 2005 February 2005 January 2005 December 2004 November 2004 October
2004 September 2004 August 2004 July 2004 June 2004 May 2004 April 2004 March
2004 February 2004 January 2004 December 2003 November 2003 October 2003
September 2003 August 2003 July 2003 June 2003 May 2003 April 2003 March 2003
February 2003 January 2003 December 2002 November 2002 October 2002 September
2002 August 2002 July 2002 June 2002 May 2002 April 2002 March 2002 February
2002 January 2002 December 2001 November 2001 October 2001 September 2001 August
2001 July 2001 June 2001 May 2001 April 2001 March 2001 February 2001 January
2001 December 2000 November 2000 October 2000 September 2000 August 2000 July
2000 June 2000 May 2000 April 2000 March 2000 February 2000 January 2000
December 1999 November 1999 October 1999 September 1999 August 1999 July 1999
June 1999 May 1999 April 1999 March 1999 February 1999 January 1999 December
1998 November 1998 October 1998 September 1998 August 1998 July 1998 June 1998
May 1998 April 1998 March 1998 February 1998 January 1998 December 1997 November
1997 October 1997 September 1997 August 1997 July 1997 June 1997 May 1997 April
1997 March 1997 February 1997 January 1997 December 1996 November 1996 October
1996 September 1996 August 1996 July 1996 June 1996 May 1996 April 1996 March
1996 February 1996 January 1996 December 1995 November 1995 October 1995
September 1995 August 1995 July 1995 June 1995 May 1995 April 1995 March 1995
February 1995 January 1995 December 1994 November 1994 October 1994 September
1994 August 1994 July 1994 June 1994 May 1994 April 1994 March 1994 February
1994 January 1994 December 1993 November 1993 October 1993 September 1993 August
1993 July 1993 June 1993 May 1993 April 1993 March 1993 February 1993 January
1993 December 1992 November 1992 October 1992 September 1992 August 1992 July
1992 June 1992 May 1992 April 1992 March 1992 February 1992 January 1992
December 1991 November 1991 October 1991 September 1991 August 1991 July 1991
June 1991 May 1991 April 1991 March 1991 February 1991 January 1991 December
1990 November 1990 October 1990 September 1990 August 1990 July 1990 June 1990
May 1990 April 1990 March 1990 February 1990 January 1990 December 1989 November
1989 October 1989 September 1989 August 1989 July 1989 June 1989 May 1989 April
1989 March 1989 February 1989 January 1989 December 1988 November 1988 October
1988 September 1988 August 1988 July 1988 June 1988 May 1988 April 1988 March
1988 February 1988 January 1988 December 1987 November 1987 October 1987
September 1987 August 1987 July 1987 June 1987 May 1987 April 1987 March 1987
February 1987 January 1987 December 1986 November 1986 October 1986 September
1986 August 1986 July 1986 June 1986 May 1986 April 1986 March 1986 February
1986 January 1986 December 1985 November 1985 October 1985 September 1985 August
1985 July 1985 June 1985 May 1985 April 1985 March 1985 February 1985 January
1985 December 1984 November 1984 October 1984 September 1984 August 1984 July
1984 June 1984 May 1984 April 1984 March 1984 February 1984 January 1984
December 1983 November 1983 October 1983 September 1983 August 1983 July 1983
June 1983 May 1983 April 1983 March 1983 February 1983 January 1983 December
1982 November 1982 October 1982 September 1982 August 1982 July 1982 June 1982
May 1982 April 1982 March 1982 February 1982 January 1982 December 1981 November
1981 October 1981 September 1981 August 1981 July 1981 June 1981 May 1981 April
1981 March 1981 February 1981 January 1981 December 1980 November 1980 October
1980 September 1980 August 1980 July 1980 June 1980 May 1980 April 1980 March
1980 February 1980 January 1980 December 1979 November 1979 October 1979
September 1979 August 1979 July 1979 June 1979 May 1979 April 1979 March 1979
February 1979 January 1979 December 1978 November 1978 October 1978 September
1978 August 1978 July 1978 June 1978 May 1978 April 1978 March 1978 February
1978 January 1978 December 1977 November 1977 October 1977 September 1977 August
1977 July 1977 June 1977 May 1977 April 1977 March 1977 February 1977 January
1977 December 1976 November 1976 October 1976 September 1976 August 1976 July
1976 June 1976 May 1976 April 1976 March 1976 February 1976 January 1976
December 1975 November 1975 October 1975 September 1975 August 1975 July 1975
June 1975 May 1975 April 1975 March 1975 February 1975 January 1975 December
1974 November 1974 October 1974 September 1974 August 1974 July 1974 June 1974
May 1974 April 1974 March 1974 February 1974 January 1974 December 1973 November
1973 October 1973 September 1973 August 1973 July 1973 June 1973 May 1973 April
1973 March 1973 February 1973 January 1973 December 1972 November 1972 October
1972 September 1972 August 1972 July 1972 June 1972 May 1972 April 1972 March
1972 February 1972 January 1972 December 1971 November 1971 October 1971
September 1971 August 1971 July 1971 June 1971 May 1971 April 1971 March 1971
February 1971 January 1971 December 1970 November 1970 October 1970 September
1970 August 1970 July 1970 June 1970 May 1970 April 1970 March 1970 February
1970 January 1970 December 1969 November 1969 October 1969 September 1969 August
1969 July 1969 June 1969 May 1969 April 1969 March 1969 February 1969 January
1969 December 1968 November 1968 October 1968 September 1968 August 1968 July
1968 June 1968 May 1968 April 1968 March 1968 February 1968 January 1968
December 1967 November 1967 October 1967 September 1967 August 1967 July 1967
June 1967 May 1967 April 1967 March 1967 February 1967 January 1967 December
1966 November 1966 October 1966 September 1966 August 1966 July 1966 June 1966
May 1966 April 1966 March 1966 February 1966 January 1966 December 1965 November
1965 October 1965 September 1965 August 1965 July 1965 June 1965 May 1965 April
1965 March 1965 February 1965 January 1965 December 1964 November 1964 October
1964 September 1964 August 1964 July 1964 June 1964 May 1964 April 1964 March
1964 February 1964 January 1964 December 1963 November 1963 October 1963
September 1963 August 1963 July 1963 June 1963 May 1963 April 1963 March 1963
February 1963 January 1963 December 1962 November 1962 October 1962 September
1962 August 1962 July 1962 June 1962 May 1962 April 1962 March 1962 February
1962 January 1962 December 1961 November 1961 October 1961 September 1961 August
1961 July 1961 June 1961 May 1961 April 1961 March 1961 February 1961 January
1961 December 1960 November 1960 October 1960 September 1960 August 1960 July
1960 June 1960 May 1960 April 1960 March 1960 February 1960 January 1960
December 1959 November 1959 October 1959 September 1959 August 1959 July 1959
June 1959 May 1959 April 1959 March 1959 February 1959 January 1959 December
1958 November 1958 October 1958 September 1958 August 1958 July 1958 June 1958
May 1958 April 1958 March 1958 February 1958 January 1958 December 1957 November
1957 October 1957 September 1957 August 1957 July 1957 June 1957 May 1957 April
1957 March 1957 February 1957 January 1957 December 1956 November 1956 October
1956 September 1956 August 1956 July 1956 June 1956 May 1956 April 1956 March
1956 February 1956 January 1956 December 1955 November 1955 October 1955
September 1955 August 1955 July 1955 June 1955 May 1955 April 1955 March 1955
February 1955 January 1955 December 1954 November 1954 October 1954 September
1954 August 1954 July 1954 June 1954 May 1954 April 1954 March 1954 February
1954 January 1954 December 1953 November 1953 October 1953 September 1953 August
1953 July 1953 June 1953 May 1953 April 1953 March 1953 February 1953 January
1953 December 1952 November 1952 October 1952 September 1952 August 1952 July
1952 June 1952 May 1952 April 1952 March 1952 February 1952 January 1952
December 1951 November 1951 October 1951 September 1951 August 1951 July 1951
June 1951 May 1951 April 1951 March 1951 February 1951 January 1951 December
1950 November 1950 October 1950 September 1950 August 1950 July 1950 June 1950
May 1950 April 1950 March 1950 February 1950 January 1950 December 1949 November
1949 October 1949 September 1949 August 1949 July 1949 June 1949 May 1949 April
1949 March 1949 February 1949 January 1949 December 1948 November 1948 October
1948 September 1948 August 1948 July 1948 June 1948 May 1948 April 1948 March
1948 February 1948 January 1948 December 1947 November 1947 October 1947
September 1947 August 1947 July 1947 June 1947 May 1947 April 1947 March 1947
February 1947 January 1947 December 1946 November 1946 October 1946 September
1946 August 1946 July 1946 June 1946 May 1946 April 1946 March 1946 February
1946 January 1946 December 1945 November 1945 October 1945 September 1945 August
1945 July 1945 June 1945 May 1945 April 1945 March 1945 February 1945 January
1945 December 1944 November 1944 October 1944 September 1944 August 1944 July
1944 June 1944 May 1944 April 1944 March 1944 February 1944 January 1944
December 1943 November 1943 October 1943 September 1943 August 1943 July 1943
June 1943 May 1943 April 1943 March 1943 February 1943 January 1943 December
1942 November 1942 October 1942 September 1942 August 1942 July 1942 June 1942
May 1942 April 1942 March 1942 February 1942 January 1942 December 1941 November
1941 October 1941 September 1941 August 1941 July 1941 June 1941 May 1941 April
1941 March 1941 February 1941 January 1941 December 1940 November 1940 October
1940 September 1940 August 1940 July 1940 June 1940 May 1940 April 1940 March
1940 February 1940 January 1940 December 1939 November 1939 October 1939
September 1939 August 1939 July 1939 June 1939 May 1939 April 1939 March 1939
February 1939 January 1939 December 1938 November 1938 October 1938 September
1938 August 1938 July 1938 June 1938 May 1938 April 1938 March 1938 February
1938 January 1938 December 1937 November 1937 October 1937 September 1937 August
1937 July 1937 June 1937 May 1937 April 1937 March 1937 February 1937 January
1937 December 1936 November 1936 October 1936 September 1936 August 1936 July
1936 June 1936 May 1936 April 1936 March 1936 February 1936 January 1936
December 1935 November 1935 October 1935 September 1935 August 1935 July 1935
June 1935 May 1935 April 1935 March 1935 February 1935 January 1935 December
1934 November 1934 October 1934 September 1934 August 1934 July 1934 June 1934
May 1934 April 1934 March 1934 February 1934 January 1934 December 1933 November
1933 October 1933 September 1933 August 1933 July 1933 June 1933 May 1933 April
1933 March 1933 February 1933 January 1933 December 1932 November 1932 October
1932 September 1932 August 1932 July 1932 June 1932 May 1932 April 1932 March
1932 February 1932 January 1932 December 1931 November 1931 October 1931
September 1931 August 1931 July 1931 June 1931 May 1931 April 1931 March 1931
February 1931 January 1931 December 1930 November 1930 October 1930 September
1930 August 1930 July 1930 June 1930 May 1930 April 1930 March 1930 February
1930 January 1930 December 1929 November 1929 October 1929 September 1929 August
1929 July 1929 June 1929 May 1929 April 1929 March 1929 February 1929 January
1929 December 1928 November 1928 October 1928 September 1928 August 1928 July
1928 June 1928 May 1928 April 1928 March 1928 February 1928 January 1928
December 1927 November 1927 October 1927 September 1927 August 1927 July 1927
June 1927 May 1927 April 1927 March 1927 February 1927 January 1927 December
1926 November 1926 October 1926 September 1926 August 1926 July 1926 June 1926
May 1926 April 1926 March 1926 February 1926 January 1926 December 1925 November
1925 October 1925 September 1925 August 1925 July 1925 June 1925 May 1925 April
1925 March 1925 February 1925 January 1925 December 1924 November 1924 October
1924 September 1924 August 1924 July 1924 June 1924 May 1924 April 1924 March
1924 February 1924 January 1924 December 1923 November 1923 October 1923
September 1923 August 1923 July 1923 June 1923 May 1923 April 1923 March 1923
February 1923 January 1923 December 1922 November 1922 October 1922 September
1922 August 1922 July 1922 June 1922 May 1922 April 1922 March 1922 February
1922 January 1922 December 1921 November 1921 October 1921 September 1921 August
1921 July 1921 June 1921 May 1921 April 1921 March 1921 February 1921 January
1921 December 1920 November 1920 October 1920 September 1920 August 1920 July
1920 June 1920 May 1920 April 1920 March 1920 February 1920 January 1920
December 1919 November 1919 October 1919 September 1919 August 1919 July 1919
June 1919 May 1919 April 1919 March 1919 February 1919 January 1919 December
1918 November 1918 October 1918 September 1918 August 1918 July 1918 June 1918
May 1918 April 1918 March 1918 February 1918 January 1918 December 1917 November
1917 October 1917 September 1917 August 1917 July 1917 June 1917 May 1917 April
1917 March 1917 February 1917 January 1917 December 1916 November 1916 October
1916 September 1916 August 1916 July 1916 June 1916 May 1916 April 1916 March
1916 February 1916 January 1916 December 1915 November 1915 October 1915
September 1915 August 1915 July 1915 June 1915 May 1915 April 1915 March 1915
February 1915 January 1915 December 1914 November 1914 October 1914 September
1914 August 1914 July 1914 June 1914 May 1914 April 1914 March 1914 February
1914 January 1914 December 1913 November 1913 October 1913 September 1913 August
1913 July 1913 June 1913 May 1913 April 1913 March 1913 February 1913 January
1913 December 1912 November 1912 October 1912 September 1912 August 1912 July
1912 June 1912 May 1912 April 1912 March 1912 February 1912 January 1912
December 1911 November 1911 October 1911 September 1911 August 1911 July 1911
June 1911 May 1911 April 1911 March 1911 February 1911 January 1911 December
1910 November 1910 October 1910 September 1910 August 1910 July 1910 June 1910
May 1910 April 1910 March 1910 February 1910 January 1910 December 1909 November
1909 October 1909 September 1909 August 1909 July 1909 June 1909 May 1909 April
1909 March 1909 February 1909 January 1909 December 1908 November 1908 October
1908 September 1908 August 1908 July 1908 June 1908 May 1908 April 1908 March
1908 February 1908 January 1908 December 1907 November 1907 October 1907
September 1907 August 1907 July 1907 June 1907 May 1907 April 1907 March 1907
February 1907 January 1907 December 1906 November 1906 October 1906 September
1906 August 1906 July 1906 June 1906 May 1906 April 1906 March 1906 February
1906 January 1906 December 1905 November 1905 October 1905 September 1905 August
1905 July 1905 June 1905 May 1905 April 1905 March 1905 February 1905 January
1905 December 1904 November 1904 October 1904 September 1904 August 1904 July
1904 June 1904 May 1904 April 1904 March 1904 February 1904 January 1904
December 1903 November 1903 October 1903 September 1903 August 1903 July 1903
June 1903 May 1903 April 1903 March 1903 February 1903 January 1903 December
1902 November 1902 October 1902 September 1902 August 1902 July 1902 June 1902
May 1902 April 1902 March 1902 February 1902 January 1902 December 1901 November
1901 October 1901 September 1901 August 1901 July 1901 June 1901 May 1901 April
1901 March 1901 February 1901 January 1901 December 1900 November 1900 October
1900 September 1900 August 1900 July 1900 June 1900 May 1900 April 1900 March
1900 February 1900 January 1900
December 2015
 * December 2015
 * November 2015
 * October 2015
 * September 2015
 * August 2015
 * July 2015
 * June 2015
 * May 2015
 * April 2015
 * March 2015
 * February 2015
 * January 2015
 * December 2014
 * November 2014
 * October 2014
 * September 2014
 * August 2014
 * July 2014
 * June 2014
 * May 2014
 * April 2014
 * March 2014
 * February 2014
 * January 2014
 * December 2013
 * November 2013
 * October 2013
 * September 2013
 * August 2013
 * July 2013
 * June 2013
 * May 2013
 * April 2013
 * March 2013
 * February 2013
 * January 2013
 * December 2012
 * November 2012
 * October 2012
 * September 2012
 * August 2012
 * July 2012
 * June 2012
 * May 2012
 * April 2012
 * March 2012
 * February 2012
 * January 2012
 * December 2011
 * November 2011
 * October 2011
 * September 2011
 * August 2011
 * July 2011
 * June 2011
 * May 2011
 * April 2011
 * March 2011
 * February 2011
 * January 2011
 * December 2010
 * November 2010
 * October 2010
 * September 2010
 * August 2010
 * July 2010
 * June 2010
 * May 2010
 * April 2010
 * March 2010
 * February 2010
 * January 2010
 * December 2009
 * November 2009
 * October 2009
 * September 2009
 * August 2009
 * July 2009
 * June 2009
 * May 2009
 * April 2009
 * March 2009
 * February 2009
 * January 2009
 * December 2008
 * November 2008
 * October 2008
 * September 2008
 * August 2008
 * July 2008
 * June 2008
 * May 2008
 * April 2008
 * March 2008
 * February 2008
 * January 2008
 * December 2007
 * November 2007
 * October 2007
 * September 2007
 * August 2007
 * July 2007
 * June 2007
 * May 2007
 * April 2007
 * March 2007
 * February 2007
 * January 2007
 * December 2006
 * November 2006
 * October 2006
 * September 2006
 * August 2006
 * July 2006
 * June 2006
 * May 2006
 * April 2006
 * March 2006
 * February 2006
 * January 2006
 * December 2005
 * November 2005
 * October 2005
 * September 2005
 * August 2005
 * July 2005
 * June 2005
 * May 2005
 * April 2005
 * March 2005
 * February 2005
 * January 2005
 * December 2004
 * November 2004
 * October 2004
 * September 2004
 * August 2004
 * July 2004
 * June 2004
 * May 2004
 * April 2004
 * March 2004
 * February 2004
 * January 2004
 * December 2003
 * November 2003
 * October 2003
 * September 2003
 * August 2003
 * July 2003
 * June 2003
 * May 2003
 * April 2003
 * March 2003
 * February 2003
 * January 2003
 * December 2002
 * November 2002
 * October 2002
 * September 2002
 * August 2002
 * July 2002
 * June 2002
 * May 2002
 * April 2002
 * March 2002
 * February 2002
 * January 2002
 * December 2001
 * November 2001
 * October 2001
 * September 2001
 * August 2001
 * July 2001
 * June 2001
 * May 2001
 * April 2001
 * March 2001
 * February 2001
 * January 2001
 * December 2000
 * November 2000
 * October 2000
 * September 2000
 * August 2000
 * July 2000
 * June 2000
 * May 2000
 * April 2000
 * March 2000
 * February 2000
 * January 2000
 * December 1999
 * November 1999
 * October 1999
 * September 1999
 * August 1999
 * July 1999
 * June 1999
 * May 1999
 * April 1999
 * March 1999
 * February 1999
 * January 1999
 * December 1998
 * November 1998
 * October 1998
 * September 1998
 * August 1998
 * July 1998
 * June 1998
 * May 1998
 * April 1998
 * March 1998
 * February 1998
 * January 1998
 * December 1997
 * November 1997
 * October 1997
 * September 1997
 * August 1997
 * July 1997
 * June 1997
 * May 1997
 * April 1997
 * March 1997
 * February 1997
 * January 1997
 * December 1996
 * November 1996
 * October 1996
 * September 1996
 * August 1996
 * July 1996
 * June 1996
 * May 1996
 * April 1996
 * March 1996
 * February 1996
 * January 1996
 * December 1995
 * November 1995
 * October 1995
 * September 1995
 * August 1995
 * July 1995
 * June 1995
 * May 1995
 * April 1995
 * March 1995
 * February 1995
 * January 1995
 * December 1994
 * November 1994
 * October 1994
 * September 1994
 * August 1994
 * July 1994
 * June 1994
 * May 1994
 * April 1994
 * March 1994
 * February 1994
 * January 1994
 * December 1993
 * November 1993
 * October 1993
 * September 1993
 * August 1993
 * July 1993
 * June 1993
 * May 1993
 * April 1993
 * March 1993
 * February 1993
 * January 1993
 * December 1992
 * November 1992
 * October 1992
 * September 1992
 * August 1992
 * July 1992
 * June 1992
 * May 1992
 * April 1992
 * March 1992
 * February 1992
 * January 1992
 * December 1991
 * November 1991
 * October 1991
 * September 1991
 * August 1991
 * July 1991
 * June 1991
 * May 1991
 * April 1991
 * March 1991
 * February 1991
 * January 1991
 * December 1990
 * November 1990
 * October 1990
 * September 1990
 * August 1990
 * July 1990
 * June 1990
 * May 1990
 * April 1990
 * March 1990
 * February 1990
 * January 1990
 * December 1989
 * November 1989
 * October 1989
 * September 1989
 * August 1989
 * July 1989
 * June 1989
 * May 1989
 * April 1989
 * March 1989
 * February 1989
 * January 1989
 * December 1988
 * November 1988
 * October 1988
 * September 1988
 * August 1988
 * July 1988
 * June 1988
 * May 1988
 * April 1988
 * March 1988
 * February 1988
 * January 1988
 * December 1987
 * November 1987
 * October 1987
 * September 1987
 * August 1987
 * July 1987
 * June 1987
 * May 1987
 * April 1987
 * March 1987
 * February 1987
 * January 1987
 * December 1986
 * November 1986
 * October 1986
 * September 1986
 * August 1986
 * July 1986
 * June 1986
 * May 1986
 * April 1986
 * March 1986
 * February 1986
 * January 1986
 * December 1985
 * November 1985
 * October 1985
 * September 1985
 * August 1985
 * July 1985
 * June 1985
 * May 1985
 * April 1985
 * March 1985
 * February 1985
 * January 1985
 * December 1984
 * November 1984
 * October 1984
 * September 1984
 * August 1984
 * July 1984
 * June 1984
 * May 1984
 * April 1984
 * March 1984
 * February 1984
 * January 1984
 * December 1983
 * November 1983
 * October 1983
 * September 1983
 * August 1983
 * July 1983
 * June 1983
 * May 1983
 * April 1983
 * March 1983
 * February 1983
 * January 1983
 * December 1982
 * November 1982
 * October 1982
 * September 1982
 * August 1982
 * July 1982
 * June 1982
 * May 1982
 * April 1982
 * March 1982
 * February 1982
 * January 1982
 * December 1981
 * November 1981
 * October 1981
 * September 1981
 * August 1981
 * July 1981
 * June 1981
 * May 1981
 * April 1981
 * March 1981
 * February 1981
 * January 1981
 * December 1980
 * November 1980
 * October 1980
 * September 1980
 * August 1980
 * July 1980
 * June 1980
 * May 1980
 * April 1980
 * March 1980
 * February 1980
 * January 1980
 * December 1979
 * November 1979
 * October 1979
 * September 1979
 * August 1979
 * July 1979
 * June 1979
 * May 1979
 * April 1979
 * March 1979
 * February 1979
 * January 1979
 * December 1978
 * November 1978
 * October 1978
 * September 1978
 * August 1978
 * July 1978
 * June 1978
 * May 1978
 * April 1978
 * March 1978
 * February 1978
 * January 1978
 * December 1977
 * November 1977
 * October 1977
 * September 1977
 * August 1977
 * July 1977
 * June 1977
 * May 1977
 * April 1977
 * March 1977
 * February 1977
 * January 1977
 * December 1976
 * November 1976
 * October 1976
 * September 1976
 * August 1976
 * July 1976
 * June 1976
 * May 1976
 * April 1976
 * March 1976
 * February 1976
 * January 1976
 * December 1975
 * November 1975
 * October 1975
 * September 1975
 * August 1975
 * July 1975
 * June 1975
 * May 1975
 * April 1975
 * March 1975
 * February 1975
 * January 1975
 * December 1974
 * November 1974
 * October 1974
 * September 1974
 * August 1974
 * July 1974
 * June 1974
 * May 1974
 * April 1974
 * March 1974
 * February 1974
 * January 1974
 * December 1973
 * November 1973
 * October 1973
 * September 1973
 * August 1973
 * July 1973
 * June 1973
 * May 1973
 * April 1973
 * March 1973
 * February 1973
 * January 1973
 * December 1972
 * November 1972
 * October 1972
 * September 1972
 * August 1972
 * July 1972
 * June 1972
 * May 1972
 * April 1972
 * March 1972
 * February 1972
 * January 1972
 * December 1971
 * November 1971
 * October 1971
 * September 1971
 * August 1971
 * July 1971
 * June 1971
 * May 1971
 * April 1971
 * March 1971
 * February 1971
 * January 1971
 * December 1970
 * November 1970
 * October 1970
 * September 1970
 * August 1970
 * July 1970
 * June 1970
 * May 1970
 * April 1970
 * March 1970
 * February 1970
 * January 1970
 * December 1969
 * November 1969
 * October 1969
 * September 1969
 * August 1969
 * July 1969
 * June 1969
 * May 1969
 * April 1969
 * March 1969
 * February 1969
 * January 1969
 * December 1968
 * November 1968
 * October 1968
 * September 1968
 * August 1968
 * July 1968
 * June 1968
 * May 1968
 * April 1968
 * March 1968
 * February 1968
 * January 1968
 * December 1967
 * November 1967
 * October 1967
 * September 1967
 * August 1967
 * July 1967
 * June 1967
 * May 1967
 * April 1967
 * March 1967
 * February 1967
 * January 1967
 * December 1966
 * November 1966
 * October 1966
 * September 1966
 * August 1966
 * July 1966
 * June 1966
 * May 1966
 * April 1966
 * March 1966
 * February 1966
 * January 1966
 * December 1965
 * November 1965
 * October 1965
 * September 1965
 * August 1965
 * July 1965
 * June 1965
 * May 1965
 * April 1965
 * March 1965
 * February 1965
 * January 1965
 * December 1964
 * November 1964
 * October 1964
 * September 1964
 * August 1964
 * July 1964
 * June 1964
 * May 1964
 * April 1964
 * March 1964
 * February 1964
 * January 1964
 * December 1963
 * November 1963
 * October 1963
 * September 1963
 * August 1963
 * July 1963
 * June 1963
 * May 1963
 * April 1963
 * March 1963
 * February 1963
 * January 1963
 * December 1962
 * November 1962
 * October 1962
 * September 1962
 * August 1962
 * July 1962
 * June 1962
 * May 1962
 * April 1962
 * March 1962
 * February 1962
 * January 1962
 * December 1961
 * November 1961
 * October 1961
 * September 1961
 * August 1961
 * July 1961
 * June 1961
 * May 1961
 * April 1961
 * March 1961
 * February 1961
 * January 1961
 * December 1960
 * November 1960
 * October 1960
 * September 1960
 * August 1960
 * July 1960
 * June 1960
 * May 1960
 * April 1960
 * March 1960
 * February 1960
 * January 1960
 * December 1959
 * November 1959
 * October 1959
 * September 1959
 * August 1959
 * July 1959
 * June 1959
 * May 1959
 * April 1959
 * March 1959
 * February 1959
 * January 1959
 * December 1958
 * November 1958
 * October 1958
 * September 1958
 * August 1958
 * July 1958
 * June 1958
 * May 1958
 * April 1958
 * March 1958
 * February 1958
 * January 1958
 * December 1957
 * November 1957
 * October 1957
 * September 1957
 * August 1957
 * July 1957
 * June 1957
 * May 1957
 * April 1957
 * March 1957
 * February 1957
 * January 1957
 * December 1956
 * November 1956
 * October 1956
 * September 1956
 * August 1956
 * July 1956
 * June 1956
 * May 1956
 * April 1956
 * March 1956
 * February 1956
 * January 1956
 * December 1955
 * November 1955
 * October 1955
 * September 1955
 * August 1955
 * July 1955
 * June 1955
 * May 1955
 * April 1955
 * March 1955
 * February 1955
 * January 1955
 * December 1954
 * November 1954
 * October 1954
 * September 1954
 * August 1954
 * July 1954
 * June 1954
 * May 1954
 * April 1954
 * March 1954
 * February 1954
 * January 1954
 * December 1953
 * November 1953
 * October 1953
 * September 1953
 * August 1953
 * July 1953
 * June 1953
 * May 1953
 * April 1953
 * March 1953
 * February 1953
 * January 1953
 * December 1952
 * November 1952
 * October 1952
 * September 1952
 * August 1952
 * July 1952
 * June 1952
 * May 1952
 * April 1952
 * March 1952
 * February 1952
 * January 1952
 * December 1951
 * November 1951
 * October 1951
 * September 1951
 * August 1951
 * July 1951
 * June 1951
 * May 1951
 * April 1951
 * March 1951
 * February 1951
 * January 1951
 * December 1950
 * November 1950
 * October 1950
 * September 1950
 * August 1950
 * July 1950
 * June 1950
 * May 1950
 * April 1950
 * March 1950
 * February 1950
 * January 1950
 * December 1949
 * November 1949
 * October 1949
 * September 1949
 * August 1949
 * July 1949
 * June 1949
 * May 1949
 * April 1949
 * March 1949
 * February 1949
 * January 1949
 * December 1948
 * November 1948
 * October 1948
 * September 1948
 * August 1948
 * July 1948
 * June 1948
 * May 1948
 * April 1948
 * March 1948
 * February 1948
 * January 1948
 * December 1947
 * November 1947
 * October 1947
 * September 1947
 * August 1947
 * July 1947
 * June 1947
 * May 1947
 * April 1947
 * March 1947
 * February 1947
 * January 1947
 * December 1946
 * November 1946
 * October 1946
 * September 1946
 * August 1946
 * July 1946
 * June 1946
 * May 1946
 * April 1946
 * March 1946
 * February 1946
 * January 1946
 * December 1945
 * November 1945
 * October 1945
 * September 1945
 * August 1945
 * July 1945
 * June 1945
 * May 1945
 * April 1945
 * March 1945
 * February 1945
 * January 1945
 * December 1944
 * November 1944
 * October 1944
 * September 1944
 * August 1944
 * July 1944
 * June 1944
 * May 1944
 * April 1944
 * March 1944
 * February 1944
 * January 1944
 * December 1943
 * November 1943
 * October 1943
 * September 1943
 * August 1943
 * July 1943
 * June 1943
 * May 1943
 * April 1943
 * March 1943
 * February 1943
 * January 1943
 * December 1942
 * November 1942
 * October 1942
 * September 1942
 * August 1942
 * July 1942
 * June 1942
 * May 1942
 * April 1942
 * March 1942
 * February 1942
 * January 1942
 * December 1941
 * November 1941
 * October 1941
 * September 1941
 * August 1941
 * July 1941
 * June 1941
 * May 1941
 * April 1941
 * March 1941
 * February 1941
 * January 1941
 * December 1940
 * November 1940
 * October 1940
 * September 1940
 * August 1940
 * July 1940
 * June 1940
 * May 1940
 * April 1940
 * March 1940
 * February 1940
 * January 1940
 * December 1939
 * November 1939
 * October 1939
 * September 1939
 * August 1939
 * July 1939
 * June 1939
 * May 1939
 * April 1939
 * March 1939
 * February 1939
 * January 1939
 * December 1938
 * November 1938
 * October 1938
 * September 1938
 * August 1938
 * July 1938
 * June 1938
 * May 1938
 * April 1938
 * March 1938
 * February 1938
 * January 1938
 * December 1937
 * November 1937
 * October 1937
 * September 1937
 * August 1937
 * July 1937
 * June 1937
 * May 1937
 * April 1937
 * March 1937
 * February 1937
 * January 1937
 * December 1936
 * November 1936
 * October 1936
 * September 1936
 * August 1936
 * July 1936
 * June 1936
 * May 1936
 * April 1936
 * March 1936
 * February 1936
 * January 1936
 * December 1935
 * November 1935
 * October 1935
 * September 1935
 * August 1935
 * July 1935
 * June 1935
 * May 1935
 * April 1935
 * March 1935
 * February 1935
 * January 1935
 * December 1934
 * November 1934
 * October 1934
 * September 1934
 * August 1934
 * July 1934
 * June 1934
 * May 1934
 * April 1934
 * March 1934
 * February 1934
 * January 1934
 * December 1933
 * November 1933
 * October 1933
 * September 1933
 * August 1933
 * July 1933
 * June 1933
 * May 1933
 * April 1933
 * March 1933
 * February 1933
 * January 1933
 * December 1932
 * November 1932
 * October 1932
 * September 1932
 * August 1932
 * July 1932
 * June 1932
 * May 1932
 * April 1932
 * March 1932
 * February 1932
 * January 1932
 * December 1931
 * November 1931
 * October 1931
 * September 1931
 * August 1931
 * July 1931
 * June 1931
 * May 1931
 * April 1931
 * March 1931
 * February 1931
 * January 1931
 * December 1930
 * November 1930
 * October 1930
 * September 1930
 * August 1930
 * July 1930
 * June 1930
 * May 1930
 * April 1930
 * March 1930
 * February 1930
 * January 1930
 * December 1929
 * November 1929
 * October 1929
 * September 1929
 * August 1929
 * July 1929
 * June 1929
 * May 1929
 * April 1929
 * March 1929
 * February 1929
 * January 1929
 * December 1928
 * November 1928
 * October 1928
 * September 1928
 * August 1928
 * July 1928
 * June 1928
 * May 1928
 * April 1928
 * March 1928
 * February 1928
 * January 1928
 * December 1927
 * November 1927
 * October 1927
 * September 1927
 * August 1927
 * July 1927
 * June 1927
 * May 1927
 * April 1927
 * March 1927
 * February 1927
 * January 1927
 * December 1926
 * November 1926
 * October 1926
 * September 1926
 * August 1926
 * July 1926
 * June 1926
 * May 1926
 * April 1926
 * March 1926
 * February 1926
 * January 1926
 * December 1925
 * November 1925
 * October 1925
 * September 1925
 * August 1925
 * July 1925
 * June 1925
 * May 1925
 * April 1925
 * March 1925
 * February 1925
 * January 1925
 * December 1924
 * November 1924
 * October 1924
 * September 1924
 * August 1924
 * July 1924
 * June 1924
 * May 1924
 * April 1924
 * March 1924
 * February 1924
 * January 1924
 * December 1923
 * November 1923
 * October 1923
 * September 1923
 * August 1923
 * July 1923
 * June 1923
 * May 1923
 * April 1923
 * March 1923
 * February 1923
 * January 1923
 * December 1922
 * November 1922
 * October 1922
 * September 1922
 * August 1922
 * July 1922
 * June 1922
 * May 1922
 * April 1922
 * March 1922
 * February 1922
 * January 1922
 * December 1921
 * November 1921
 * October 1921
 * September 1921
 * August 1921
 * July 1921
 * June 1921
 * May 1921
 * April 1921
 * March 1921
 * February 1921
 * January 1921
 * December 1920
 * November 1920
 * October 1920
 * September 1920
 * August 1920
 * July 1920
 * June 1920
 * May 1920
 * April 1920
 * March 1920
 * February 1920
 * January 1920
 * December 1919
 * November 1919
 * October 1919
 * September 1919
 * August 1919
 * July 1919
 * June 1919
 * May 1919
 * April 1919
 * March 1919
 * February 1919
 * January 1919
 * December 1918
 * November 1918
 * October 1918
 * September 1918
 * August 1918
 * July 1918
 * June 1918
 * May 1918
 * April 1918
 * March 1918
 * February 1918
 * January 1918
 * December 1917
 * November 1917
 * October 1917
 * September 1917
 * August 1917
 * July 1917
 * June 1917
 * May 1917
 * April 1917
 * March 1917
 * February 1917
 * January 1917
 * December 1916
 * November 1916
 * October 1916
 * September 1916
 * August 1916
 * July 1916
 * June 1916
 * May 1916
 * April 1916
 * March 1916
 * February 1916
 * January 1916
 * December 1915
 * November 1915
 * October 1915
 * September 1915
 * August 1915
 * July 1915
 * June 1915
 * May 1915
 * April 1915
 * March 1915
 * February 1915
 * January 1915
 * December 1914
 * November 1914
 * October 1914
 * September 1914
 * August 1914
 * July 1914
 * June 1914
 * May 1914
 * April 1914
 * March 1914
 * February 1914
 * January 1914
 * December 1913
 * November 1913
 * October 1913
 * September 1913
 * August 1913
 * July 1913
 * June 1913
 * May 1913
 * April 1913
 * March 1913
 * February 1913
 * January 1913
 * December 1912
 * November 1912
 * October 1912
 * September 1912
 * August 1912
 * July 1912
 * June 1912
 * May 1912
 * April 1912
 * March 1912
 * February 1912
 * January 1912
 * December 1911
 * November 1911
 * October 1911
 * September 1911
 * August 1911
 * July 1911
 * June 1911
 * May 1911
 * April 1911
 * March 1911
 * February 1911
 * January 1911
 * December 1910
 * November 1910
 * October 1910
 * September 1910
 * August 1910
 * July 1910
 * June 1910
 * May 1910
 * April 1910
 * March 1910
 * February 1910
 * January 1910
 * December 1909
 * November 1909
 * October 1909
 * September 1909
 * August 1909
 * July 1909
 * June 1909
 * May 1909
 * April 1909
 * March 1909
 * February 1909
 * January 1909
 * December 1908
 * November 1908
 * October 1908
 * September 1908
 * August 1908
 * July 1908
 * June 1908
 * May 1908
 * April 1908
 * March 1908
 * February 1908
 * January 1908
 * December 1907
 * November 1907
 * October 1907
 * September 1907
 * August 1907
 * July 1907
 * June 1907
 * May 1907
 * April 1907
 * March 1907
 * February 1907
 * January 1907
 * December 1906
 * November 1906
 * October 1906
 * September 1906
 * August 1906
 * July 1906
 * June 1906
 * May 1906
 * April 1906
 * March 1906
 * February 1906
 * January 1906
 * December 1905
 * November 1905
 * October 1905
 * September 1905
 * August 1905
 * July 1905
 * June 1905
 * May 1905
 * April 1905
 * March 1905
 * February 1905
 * January 1905
 * December 1904
 * November 1904
 * October 1904
 * September 1904
 * August 1904
 * July 1904
 * June 1904
 * May 1904
 * April 1904
 * March 1904
 * February 1904
 * January 1904
 * December 1903
 * November 1903
 * October 1903
 * September 1903
 * August 1903
 * July 1903
 * June 1903
 * May 1903
 * April 1903
 * March 1903
 * February 1903
 * January 1903
 * December 1902
 * November 1902
 * October 1902
 * September 1902
 * August 1902
 * July 1902
 * June 1902
 * May 1902
 * April 1902
 * March 1902
 * February 1902
 * January 1902
 * December 1901
 * November 1901
 * October 1901
 * September 1901
 * August 1901
 * July 1901
 * June 1901
 * May 1901
 * April 1901
 * March 1901
 * February 1901
 * January 1901
 * December 1900
 * November 1900
 * October 1900
 * September 1900
 * August 1900
 * July 1900
 * June 1900
 * May 1900
 * April 1900
 * March 1900
 * February 1900
 * January 1900

0 mm
125
250 mm



RUNOFF TIMESERIES:

30 %
Click on the stream network to generate the modelled monthly runoff timeseries
of the catchment upstream of the selected point. This may take a couple of
minutes if a large catchment is selected. The stream network is colour coded
according to the size of the upstream catchment.
Minimum size of a catchment:
1 km^2


1
25
50





PERSISTENT WATERHOLES:

80 %
Percentage of time water was inferred from LandSat imagery in each 200 m river
segment between 1990 and 2018.
 * 75 % - 100 % of time
 * 50 % - 75 % of time
 * 25 % - 50 % of time
 * 0 % - 25 % of time


FLOOD EVENT DURATION:

100 %
This dataset provides flood inundation extent and duration for the Fitzroy,
Darwin and Mitchell catchments in Northern Australia for floods of different
magnitudes and duration. The maps present the spatial inundation duration (in
days) for each flood event under current levels of development and potential dam
developments. AEP is annual exceedance probability.
Darwin: Current development AEP 1 in 14 (2006) Darwin: Current development AEP 1
in 30 (2014) Darwin: Adelaide dam AEP 1 in 14 (2006) Darwin: Adelaide dam AEP 1
in 30 (2014) Fitzroy: Current development AEP 1 in 2 (2006) Fitzroy: Current
development AEP 1 in 3 (2007) Fitzroy: Current development AEP 1 in 5 (2009)
Fitzroy: Current development AEP 1 in 16 (2001) Fitzroy: Current development AEP
1 in 25 (2011) Mitchell: Current development AEP 1 in 5 (1999) Mitchell: Current
development AEP 1 in 10 (2001) Mitchell: Current development AEP 1 in 26 (2009)
Mitchell: Pinnacles dam AEP 1 in 5 (1999) Mitchell: Pinnacles dam AEP 1 in 10
(2001) Mitchell: Pinnacles dam AEP 1 in 26 (2009) Mitchell: Walsh dam AEP 1 in 5
(1999) Mitchell: Walsh dam AEP 1 in 10 (2001) Mitchell: Walsh dam AEP 1 in 26
(2009) Mitchell: Palmer dam AEP 1 in 5 (1999) Mitchell: Palmer dam AEP 1 in 10
(2001) Mitchell: Palmer dam AEP 1 in 26 (2009) Mitchell: Pinnacles+Walsh dam AEP
1 in 5 (1999) Mitchell: Pinnacles+Walsh dam AEP 1 in 10 (2001) Mitchell:
Pinnacles+Walsh dam AEP 1 in 26 (2009) Mitchell: Pinnacles+Walsh+Palmer dam AEP
1 in 5 (1999) Mitchell: Pinnacles+Walsh+Palmer dam AEP 1 in 10 (2001) Mitchell:
Pinnacles+Walsh+Palmer dam AEP 1 in 26 (2009) UpperRoper: Current development
AEP 1 in 2 (1988) UpperRoper: Current development AEP 1 in 13 (1991) LowerRoper:
Current development AEP 1 in 2 (1988) LowerRoper: Current development AEP 1 in
13 (1991) UpperRoper: Flying Fox dam AEP 1 in 2 (1988) UpperRoper: Flying Fox
dam AEP 1 in 13 (1991) LowerRoper: Flying Fox dam AEP 1 in 2 (1988) LowerRoper:
Flying Fox dam AEP 1 in 13 (1991) UpperRoper: Projected future dry climate AEP 1
in 2 (1988) UpperRoper: Projected future dry climate AEP 1 in 13 (1991)
LowerRoper: Projected future dry climate AEP 1 in 2 (1988) LowerRoper: Projected
future dry climate AEP 1 in 13 (1991) UpperRoper: Projected future Wet climate
AEP 1 in 2 (1988) UpperRoper: Projected future Wet climate AEP 1 in 13 (1991)
LowerRoper: Projected future Wet climate AEP 1 in 2 (1988) LowerRoper: Projected
future Wet climate AEP 1 in 13 (1991)
Darwin: Current development AEP 1 in 14 (2006)
 * 
 * Darwin: Current development AEP 1 in 14 (2006)
 * Darwin: Current development AEP 1 in 30 (2014)
 * Darwin: Adelaide dam AEP 1 in 14 (2006)
 * Darwin: Adelaide dam AEP 1 in 30 (2014)
 * Fitzroy: Current development AEP 1 in 2 (2006)
 * Fitzroy: Current development AEP 1 in 3 (2007)
 * Fitzroy: Current development AEP 1 in 5 (2009)
 * Fitzroy: Current development AEP 1 in 16 (2001)
 * Fitzroy: Current development AEP 1 in 25 (2011)
 * Mitchell: Current development AEP 1 in 5 (1999)
 * Mitchell: Current development AEP 1 in 10 (2001)
 * Mitchell: Current development AEP 1 in 26 (2009)
 * Mitchell: Pinnacles dam AEP 1 in 5 (1999)
 * Mitchell: Pinnacles dam AEP 1 in 10 (2001)
 * Mitchell: Pinnacles dam AEP 1 in 26 (2009)
 * Mitchell: Walsh dam AEP 1 in 5 (1999)
 * Mitchell: Walsh dam AEP 1 in 10 (2001)
 * Mitchell: Walsh dam AEP 1 in 26 (2009)
 * Mitchell: Palmer dam AEP 1 in 5 (1999)
 * Mitchell: Palmer dam AEP 1 in 10 (2001)
 * Mitchell: Palmer dam AEP 1 in 26 (2009)
 * Mitchell: Pinnacles+Walsh dam AEP 1 in 5 (1999)
 * Mitchell: Pinnacles+Walsh dam AEP 1 in 10 (2001)
 * Mitchell: Pinnacles+Walsh dam AEP 1 in 26 (2009)
 * Mitchell: Pinnacles+Walsh+Palmer dam AEP 1 in 5 (1999)
 * Mitchell: Pinnacles+Walsh+Palmer dam AEP 1 in 10 (2001)
 * Mitchell: Pinnacles+Walsh+Palmer dam AEP 1 in 26 (2009)
 * UpperRoper: Current development AEP 1 in 2 (1988)
 * UpperRoper: Current development AEP 1 in 13 (1991)
 * LowerRoper: Current development AEP 1 in 2 (1988)
 * LowerRoper: Current development AEP 1 in 13 (1991)
 * UpperRoper: Flying Fox dam AEP 1 in 2 (1988)
 * UpperRoper: Flying Fox dam AEP 1 in 13 (1991)
 * LowerRoper: Flying Fox dam AEP 1 in 2 (1988)
 * LowerRoper: Flying Fox dam AEP 1 in 13 (1991)
 * UpperRoper: Projected future dry climate AEP 1 in 2 (1988)
 * UpperRoper: Projected future dry climate AEP 1 in 13 (1991)
 * LowerRoper: Projected future dry climate AEP 1 in 2 (1988)
 * LowerRoper: Projected future dry climate AEP 1 in 13 (1991)
 * UpperRoper: Projected future Wet climate AEP 1 in 2 (1988)
 * UpperRoper: Projected future Wet climate AEP 1 in 13 (1991)
 * LowerRoper: Projected future Wet climate AEP 1 in 2 (1988)
 * LowerRoper: Projected future Wet climate AEP 1 in 13 (1991)


 * <= 1
 * 1 - 2
 * 2 - 3
 * 3 - 5
 * 5 - 10
 * 10 - 20
 * > 20


AQUIFERS:

60 %
Selected groundwater aquifers. Left click on aquifer to identify.


DEPTH TO TOP OF AQUIFER:

100 %
The drilling depth required to intersect the top of aquifers identified as
potentially suitable for future groundwater resource development.
0 m
800
1600 m



DEPTH TO GROUNDWATER:

100 %
The current hydraulic head in aquifers identified as potentially suitable for
future groundwater resource development. Indicates whether groundwater would
either flow naturally to the surface or the depth from which groundwater would
need to be pumped if the aquifer was drilled and groundwater bores were
installed.
-160 m
0
160 m



INTERSECTION TOOL:

40 %
Identify areas where depth to top of aquifer and/or depth to groundwater
(hydraulic head) is less than the specified threshold/s.
Depth to top of Aquifer (m):
800 m


0
800
1600



Depth to Groundwater (m):
20 m


-160 (Artesian)
0
(Subartesian) 160





RAINFALL:

80 %
Annual, Wet Season and Dry Season rainfall between 1965 - 2015.
0 mm
1000
2000 mm

Annual (Sep - Aug) Wet Season (Nov - Apr) Dry Season (May - Oct)
Annual (Sep - Aug)
 * Annual (Sep - Aug)
 * Wet Season (Nov - Apr)
 * Dry Season (May - Oct)


POTENTIAL EVAPORATION:

80 %
Annual, Wet Season and Dry Season potential evaporation between 1965 - 2015.
800 mm
1400
2000 mm

Annual (Sep - Aug) Wet Season (Nov - Apr) Dry Season (May - Oct)
Annual (Sep - Aug)
 * Annual (Sep - Aug)
 * Wet Season (Nov - Apr)
 * Dry Season (May - Oct)


ACTUAL EVAPORATION:

80 %
Monthly and annual actual evaporation between 2000 - 2016.

Monthly Yearly
Monthly
 * Monthly
 * Yearly

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Jan
 * Jan
 * Feb
 * Mar
 * Apr
 * May
 * Jun
 * Jul
 * Aug
 * Sep
 * Oct
 * Nov
 * Dec

1 mm
3
5 mm



RECORDED SPECIES OCCURRENCES:

Explore species occurrence records for biodiversity conservation, sustainable
ecosystem development, new species discoveries and environmental impact
assessments. Data provided by Atlas of Living Australia
Australian Snubfin Dolphin Barramundi Barred Grunter Barred Javelin Black
Catfish Bony Bream Bull Shark Chequered Rainbowfish Eastern Rainbowfish
Flyspecked Hardyhead Freckled Hardyhead Freshwater Longtom Freshwater Sawfish
Giant Mud Crab Giant Mud Creeper Hyrtl's Catfish King Threadfin Magpie Goose
Mouth Almighty Mud Creeper Mullets Orange Mud Crab Saltwater Crocodile Sooty
Grunter Spangled Perch Western Rainbowfish Western Sooty Grunter White Prawn
Beefwood Broad-Leaved Paperbark Cathormion Cocky Apple Coolibah (Eucalyptus
Coolabah) Coolibah (Eucalyptus Microtheca) Cumbungi Damson Plum Desert Honey
Myrtle Freshwater Mangrove (Barringtonia Acutangula) Freshwater Mangrove
(Carallia Brachiata) Ghost Gum Kakadu Plum Kimberley Bauhinia Leichhardt Pine
Northern Swamp Mahogany Peach Leaf Fig River Pandanus River Red Gum
Silver-Leaved Paperbark Smooth-Barked Coolibah Spring Pandanus Strychnine Bush
Swamp Mahogany (Lophostemon Lactifluus) Swamp Mahogany (Lophostemon Suaveolens)
Tall Reed Top End Bamboo Weeping Paperbark Wild Plum Xanthostemon
None selected
 * 
 * Animals
 * Australian Snubfin Dolphin
 * Barramundi
 * Barred Grunter
 * Barred Javelin
 * Black Catfish
 * Bony Bream
 * Bull Shark
 * Chequered Rainbowfish
 * Eastern Rainbowfish
 * Flyspecked Hardyhead
 * Freckled Hardyhead
 * Freshwater Longtom
 * Freshwater Sawfish
 * Giant Mud Crab
 * Giant Mud Creeper
 * Hyrtl's Catfish
 * King Threadfin
 * Magpie Goose
 * Mouth Almighty
 * Mud Creeper
 * Mullets
 * Orange Mud Crab
 * Saltwater Crocodile
 * Sooty Grunter
 * Spangled Perch
 * Western Rainbowfish
 * Western Sooty Grunter
 * White Prawn
 * Plants
 * Beefwood
 * Broad-Leaved Paperbark
 * Cathormion
 * Cocky Apple
 * Coolibah (Eucalyptus Coolabah)
 * Coolibah (Eucalyptus Microtheca)
 * Cumbungi
 * Damson Plum
 * Desert Honey Myrtle
 * Freshwater Mangrove (Barringtonia Acutangula)
 * Freshwater Mangrove (Carallia Brachiata)
 * Ghost Gum
 * Kakadu Plum
 * Kimberley Bauhinia
 * Leichhardt Pine
 * Northern Swamp Mahogany
 * Peach Leaf Fig
 * River Pandanus
 * River Red Gum
 * Silver-Leaved Paperbark
 * Smooth-Barked Coolibah
 * Spring Pandanus
 * Strychnine Bush
 * Swamp Mahogany (Lophostemon Lactifluus)
 * Swamp Mahogany (Lophostemon Suaveolens)
 * Tall Reed
 * Top End Bamboo
 * Weeping Paperbark
 * Wild Plum
 * Xanthostemon


NATIONAL PARKS:

60 %
Australia has thousands of national parks and conservation reserves to protect
Australian native landscapes such as rainforests, deserts and reefs, as well as
unique native plants and wildlife.
 * National park
 * Conservation park


WTWHA:

60 %
The Wet Tropics World Heritage Area (WTWHA) is a living natural wonder and
cultural landscape that occupies an area of the upper Mitchell catchment.
 * Wet Tropics World Heritage Area


IMPORTANT WETLANDS:

60 %
Location of wetlands of national importance from the Directory of Important
Wetlands in Australia
 * Wetlands of national importance


REGIONAL ECOSYSTEMS:

60 %
Biodiversity status of remnant regional ecosystems supplied by Qld Herbarium,
Qld Department of Environment and Science. It may take couple of minutes to
load.
Flinders Gilbert Mitchell
Flinders
 * Flinders
 * Gilbert
 * Mitchell

 * Endangered - Dominant vegetation
 * Endangered - Sub-dominant
 * Of Concern - Dominant
 * Of Concern - Sub-dominant
 * No concern at present
 * Non-remnant vegetation, cultivated or built environment
 * Plantation
 * Water


PMAV - QLD ONLY:

60 %
Property Maps of Assessable Vegetation (PMAV) are created under the Vegetation
Management Act 1999 as amended to 2004 Act No.33 and is current at 14th
September 2018.
 * Category X area
 * Category A area
 * Category B area
 * Category C area
 * Category R area
 * Water


CULTURAL HERITAGE SITES:

100 %
This dataset only shows the generalised location of Indigenous cultural heritage
sites that were formally recorded in government-held databases at the time NAWRA
was undertaken. These databases are continually updated and many Indigenous
sites remain unrecorded, so the map demonstrates the presence of a layer, not
the full detail or extent of Indigenous cultural heritage. Refer to the
registered cultural heritage management agencies in each State or Territory for
further guidance.

Very few Few Common Many Very many


LAND USE AGREEMENTS:

40 %
Indigenous Land Use Agreements that have been registered and placed on the
Register of Indigenous Land Use Agreements (s199A, Native Title Act;
Commonwealth). Data is supplied by the National Native Title Tribunal and is
current at 30th August 2018.
 * Indigenous land use agreements


DETERMINATIONS OF NNT:

60 %
Determinations of national native title (NNT) applications placed on the
National Native Title Register (s192, Native Title Act, Commonwealth). Data is
supplied by the National Native Title Tribunal and is current at 30th August
2018.
 * Native title does not exist
 * Native title exists in parts of the determination area
 * Native title exists in the entire determination area


APPLICATIONS OF NNT:

60 %
This dataset attempts to reflect the boundaries of claimant applications for
Native Title as per the Register of Native Title Claims (s185, Native Title Act;
Commonwealth). Data is supplied by the National Native Title Tribunal and is
current at 30th August 2018.
 * Native title claim accepted for registration


ABORIGINAL LAND OF NT:

60 %
Lands collectively owned by Aboriginal groups able to demonstrate traditional
association with that land in order to satisfy the requirements of the
Aboriginal Land Rights (Northern Territory) Act 1976. Data is current at 30 June
2017.
 * Aboriginal Land (NT enhanced freehold)
 * Aboriginal Land (Scheduled under ALRA)


RESERVOIR ROUTING MODEL (BETA):

This model calculates flood rise above a dam spillway (i.e. full supply level)
at any point on the stream network. Three design flood events can be selected: 1
in 10,000 annual exceedance probability (AEP), 1 in 50,000 AEP or probable
maximum flood. The flood rise information can be used to provide an initial
estimate of the height of the dam abutments and saddle dams and provides an
indication of the area that would be inundated at the selected full supply level
and the design flood. These data should be considered preliminary. Detailed
site-specific investigations by suitably qualified professionals must always be
undertaken prior to dam construction.


Click on the stream network to select a potential dam site.

Longtitude: ... Latitude: ... Head elevation (m): ... Catchment area (km2): ...

 * Dam catchment 35 %

Select the reservoir full supply level above river bed:
20 m


10
80



To calculate the elevation - discharge relationship above the spillway way
specify the spillway coefficient (i.e. C assuming an ogee crest spillway) and
spillway width (toggle on satellite imagery and right click to measure width of
river). Alternatively default parameters provided will be used.

Spillway coefficient: Spillway width (m):

Select design flood event: AEP (1:10,000) AEP (1:50,000) PMF Manual input
AEP (1:10,000)
 * AEP (1:10,000)
 * AEP (1:50,000)
 * PMF
 * Manual input

The peak inflow and peak volume values will be calculated depending on the
selected design flood event. Alternatively the user can specify values.

Peak inflow (m3/s): Peak volume (GL):

Run reservoir routing model Reset

Full supply level elevation (m): ... Peak water level elevation (m): ... Water
level raised by (m): ...

 * Full supply level Surface 60 %
 * Peak water level Surface 60 %


AWRAR MODEL:

River system modelling - AWRA-R


Modeling region: All regionsFinnisAdelaideMaryFitzroyMitchell
All regions
 * All regions
 * Finnis
 * Adelaide
 * Mary
 * Fitzroy
 * Mitchell

Show simulaton node label
Show reach catchment 50 %
Modeling period: to
Water harvesting: Default

Node IDMPVol (GL/year)MPRate (ML/day)PSThreshold (ML/day)RoS (GL/year)

8150010050 4500 200

8150180050 4500 200

8150000250 4500 200

8150000150 21000 200 0.0

8170240050 1375 200

8170005150 275 200

8170084050 6600 200

8170005050 397.44 200

8170020050 12650 200 0.0

8180035250 4125 1000.08

8180035450 9625 1000.08

8180035150 5500 1000.08

8180035050 8250 1000.08 0.0

8022130100 16800 600.048

8021980100 16800 600.048

8020552100 16800 600.048

8020062100 16800 600.048

8022030100 2100 200.016

8020554100 2400 200.016

8020550100 5100 200.016

8020060100 5100 200.016

8020030100 6000 200.016 0.0

8020070100 5100 200.016

8020080100 4200 200.016

9190020100 28800 200

9192010100 28800 200

9190001100 28800 200

9190140100 28800 200

9193091100 57600 200

9192030100 57600 200

9190093100 28800 200

9192040100 57600 200

9193100100 28800 200

9190111100 28800 200

9190092100 24000 200

9193092100 28800 200

9193090100 86400 200

9190110100 48000 200

9190091100 28800 200

9190090100 177600 200 0.0

Other simulation options:
Patching missing data with simulated flow
Patching zero and missing data with simulated flow
Run simulation with simulated flow
Run AWRA-R Reset


Northern Australia Fitzroy Darwin Mitchell Flinders Gilbert Roper Victoria
Southern Gulf
Search:
Contours 1m 2m 5m 10m 20 m 50 m 100 m Profile
Show field photos
Map
 * Terrain

Satellite
 * Labels










Keyboard shortcuts
Map DataMap data ©2024 Google
Map data ©2024 Google

100 km 

Click to toggle between metric and imperial units
Terms
Report a map error
Loading...