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Geospatial data visualization platform.
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<dc:identifier>c4bd11c5c880d8c72af33c01ac1b4b5fe0fae33b</dc:identifier>
<dc:date>2020-09-23T13:24:28</dc:date>
<dc:title>Percent Occurrence Tidal Currant Exceeds 1.0 m/s</dc:title>
<dc:subject>spexp-ti0</dc:subject>
<dc:subject>WCS</dc:subject>
<dc:subject>GeoTIFF</dc:subject>
<dc:subject>Tidal Energy | Tidal Current Speed | Tidal Currant Exceeds | National</dc:subject>
<dct:abstract>Percentage of time (over the whole 59days) that speed exceeds threshold</dct:abstract>
<dc:description>Percentage of time (over the whole 59days) that speed exceeds threshold</dc:description>
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<dc:identifier>7fc63414a544958ac05badcd80f7e3d20dc101a8</dc:identifier>
<dc:date>2020-09-23T13:24:28</dc:date>
<dc:title>Percent Occurrence Tidal Currant Exceeds 1.5 m/s</dc:title>
<dc:subject>spexp-ti1</dc:subject>
<dc:subject>WCS</dc:subject>
<dc:subject>GeoTIFF</dc:subject>
<dc:subject>Tidal Energy | Tidal Current Speed | Tidal Currant Exceeds | National</dc:subject>
<dct:abstract>Percentage of time (over the whole 59days) that speed exceeds threshold</dct:abstract>
<dc:description>Percentage of time (over the whole 59days) that speed exceeds threshold</dc:description>
<dc:language />
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<dc:identifier>fce9b4a54bff25e9f6ae37e6b9ba32946ab8d0e9</dc:identifier>
<dc:date>2020-09-23T13:24:28</dc:date>
<dc:title>Percent Occurrence Tidal Currant Exceeds 2.0 m/s</dc:title>
<dc:subject>spexp-ti2</dc:subject>
<dc:subject>WCS</dc:subject>
<dc:subject>GeoTIFF</dc:subject>
<dc:subject>Tidal Energy | Tidal Current Speed | Tidal Currant Exceeds | National</dc:subject>
<dct:abstract>Percentage of time (over the whole 59days) that speed exceeds threshold</dct:abstract>
<dc:description>Percentage of time (over the whole 59days) that speed exceeds threshold</dc:description>
<dc:language />
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<dc:type>dataset</dc:type>
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<dc:identifier>6460fa70d63722049b97a00cc58b797a878157f8</dc:identifier>
<dc:date>2020-09-23T13:24:28</dc:date>
<dc:title>National Tidal Model Outline</dc:title>
<dc:subject>features</dc:subject>
<dc:subject>tidalModelOutline</dc:subject>
<dc:subject>Tidal Energy | Context Layers</dc:subject>
<dct:abstract>"Outline of the National Tidal Model grid "</dct:abstract>
<dc:description>"Outline of the National Tidal Model grid "</dc:description>
<dc:language />
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<dc:identifier>d1aa4cff566bbe4bc773ea2ee29d097a2ffca3f1</dc:identifier>
<dc:date>2020-09-23T13:24:28</dc:date>
<dc:title>Sea Surface Temperature Trend RMSE - 1993-2013</dc:title>
<dc:subject>Oceans | Ocean Temperature | Sea Surface Temperature</dc:subject>
<dc:subject>WCS</dc:subject>
<dc:subject>GeoTIFF</dc:subject>
<dc:subject>trendRMSE_31July2014</dc:subject>
<dc:subject>Multiple Use | Sea Surface Temperature</dc:subject>
<dct:abstract>The physical climate defines a significant portion of the habitats in which biological communities and species reside. It is important to quantify these environmental conditions, and how they have changed, as this will inform future efforts to study many natural systems. We present the results of a statistical summary of the variability in sea surface temperature (SST) time-series data for the
waters surrounding Australia, from 1993 to 2013. We partition variation in the SST series into annual trends, inter-annual trends, and a number of components of random variation. We utilise satellite data and validate the statistical summary from these data to summaries of data from long-term monitoringstations and from the global drifter program. The spatially dense results show clear trends that associate with oceanographic features. Noteworthy oceanographic features include: average warming was greatest off southern West Australia and off eastern Tasmania where the warming was around 0.6 C per decade for a twenty year study period, and; insubstantial warming in areas dominated by the East Australian Current but this area did exhibit high levels of inter-annual variability (long-term
trend increases and decreases but does not increase on average). The results of the analyses can be directly incorporated into (biogeographic) models that explain variation in biological data where both biological and environmental data are on a fine scale.</dct:abstract>
<dc:description>The physical climate defines a significant portion of the habitats in which biological communities and species reside. It is important to quantify these environmental conditions, and how they have changed, as this will inform future efforts to study many natural systems. We present the results of a statistical summary of the variability in sea surface temperature (SST) time-series data for the
waters surrounding Australia, from 1993 to 2013. We partition variation in the SST series into annual trends, inter-annual trends, and a number of components of random variation. We utilise satellite data and validate the statistical summary from these data to summaries of data from long-term monitoringstations and from the global drifter program. The spatially dense results show clear trends that associate with oceanographic features. Noteworthy oceanographic features include: average warming was greatest off southern West Australia and off eastern Tasmania where the warming was around 0.6 C per decade for a twenty year study period, and; insubstantial warming in areas dominated by the East Australian Current but this area did exhibit high levels of inter-annual variability (long-term
trend increases and decreases but does not increase on average). The results of the analyses can be directly incorporated into (biogeographic) models that explain variation in biological data where both biological and environmental data are on a fine scale.</dc:description>
<dc:language />
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<dc:type>dataset</dc:type>
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<dc:URI protocol="WWW:LINK-1.0-http--metadata-URL" name="Parent Metadata Record" description="Link to the Parent Metadata Record. Some elements of the metadata record describing this dataset are linked to elements in the parent metadata record. Please refer to the parent metadata record for a complete description of this dataset.">http://www.marlin.csiro.au/geonetwork/srv/eng/search#!b8f48127-495e-42e6-8d53-db3c56ee3a7f</dc:URI>
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<dc:identifier>367166575dfa1bc51883259e03cf0249ca25eac5</dc:identifier>
<dc:date>2020-09-23T13:24:28</dc:date>
<dc:title>Annual Mean Wave Energy Flux</dc:title>
<dc:subject>Earth Science | Oceans | Ocean Waves</dc:subject>
<dc:subject>ww3.aus_4m.CgE_avg</dc:subject>
<dc:subject>WCS</dc:subject>
<dc:subject>GeoTIFF</dc:subject>
<dc:subject>Wave Energy Resource | Wave Energy Flux | Statistics</dc:subject>
<dct:abstract>The annual mean wave energy flux is derived from the CAWCR global wave hindcast, using data from the archived hourly 4’ Australian grid, using data from 1st January 1980 to 31st December 2010.
Wave energy flux, or wave power density, CgE, is a measure of the available power in the wave field, calculated as the kilowatts per meter (kW/m) of wave crest width. CgE is a spectrally derived time-series. An equation describing its calculation can be found in the the atlas report (Hemer et al., 2016).
For further information on the CAWCR wave hindcast, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.</dct:abstract>
<dc:description>The annual mean wave energy flux is derived from the CAWCR global wave hindcast, using data from the archived hourly 4’ Australian grid, using data from 1st January 1980 to 31st December 2010.
Wave energy flux, or wave power density, CgE, is a measure of the available power in the wave field, calculated as the kilowatts per meter (kW/m) of wave crest width. CgE is a spectrally derived time-series. An equation describing its calculation can be found in the the atlas report (Hemer et al., 2016).
For further information on the CAWCR wave hindcast, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.</dc:description>
<dc:contributor>Input data: NCEP CFSv2 surface winds and sea ice, http://cfs.ncep.noaa.gov. Wave model used: WaveWatch III, http://polar.ncep.noaa.gov/waves/wavewatch/wavewatch.shtml The Centre for Australian Weather and Climate Research (CAWCR) is a partnership between the Bureau of Meteorology and CSIRO. Hindcast modelling undertaken as part of the PACCSAP (Pacific-Australia Climate Change Science and Adaptation Planning) Project 4.3 "High resolution wind-wave climate and projections of change in the Pacific region for coastal hazard assessments" in 2012, funded by DCCEE and AusAID and undertaken jointly by CSIRO and the BoM. This dataset was produced as part of the Australian Renewable Energy Agency – CSIRO Oceans and Atmosphere Flagship co-funded Australian Wave Energy Atlas Project.</dc:contributor>
<dc:contributor>Bureau of Meteorology Australia
CSIRO Australia</dc:contributor>
<dc:language />
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<dc:type>dataset</dc:type>
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<dc:identifier>a9a6c45b3c03d89ecf12fc73ad0004832fee391e</dc:identifier>
<dc:date>2020-09-23T13:24:28</dc:date>
<dc:title>(Month 01) January Mean Wave Energy Flux</dc:title>
<dc:subject>Earth Science | Oceans | Ocean Waves</dc:subject>
<dc:subject>ww3.aus_4m.CgE_avg01</dc:subject>
<dc:subject>WCS</dc:subject>
<dc:subject>GeoTIFF</dc:subject>
<dc:subject>Wave Energy Resource | Wave Energy Flux | Monthly Means</dc:subject>
<dct:abstract>The January mean wave energy flux is derived from the CAWCR global wave hindcast, using data from the archived hourly 4’ Australian grid, using January data from January 1980 to January 2010.
Wave energy flux, or wave power density, CgE, is a measure of the available power in the wave field, calculated as the kilowatts per meter (kW/m) of wave crest width. CgE is a spectrally derived time-series. An equation describing its calculation can be found in the the atlas report (Hemer et al., 2016).
For further information on the CAWCR wave hindcast, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.</dct:abstract>
<dc:description>The January mean wave energy flux is derived from the CAWCR global wave hindcast, using data from the archived hourly 4’ Australian grid, using January data from January 1980 to January 2010.
Wave energy flux, or wave power density, CgE, is a measure of the available power in the wave field, calculated as the kilowatts per meter (kW/m) of wave crest width. CgE is a spectrally derived time-series. An equation describing its calculation can be found in the the atlas report (Hemer et al., 2016).
For further information on the CAWCR wave hindcast, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.</dc:description>
<dc:contributor>Input data: NCEP CFSv2 surface winds and sea ice, http://cfs.ncep.noaa.gov. Wave model used: WaveWatch III, http://polar.ncep.noaa.gov/waves/wavewatch/wavewatch.shtml The Centre for Australian Weather and Climate Research (CAWCR) is a partnership between the Bureau of Meteorology and CSIRO. Hindcast modelling undertaken as part of the PACCSAP (Pacific-Australia Climate Change Science and Adaptation Planning) Project 4.3 "High resolution wind-wave climate and projections of change in the Pacific region for coastal hazard assessments" in 2012, funded by DCCEE and AusAID and undertaken jointly by CSIRO and the BoM. This dataset was produced as part of the Australian Renewable Energy Agency – CSIRO Oceans and Atmosphere Flagship co-funded Australian Wave Energy Atlas Project.</dc:contributor>
<dc:contributor>Bureau of Meteorology Australia
CSIRO Australia</dc:contributor>
<dc:language />
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<dc:type>dataset</dc:type>
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<dc:URI protocol="WWW:LINK-1.0-http--link" name="ww3.aus_4m.CgE_avg01.nc" description="Download: ww3.aus_4m.CgE_avg01.nc">http://oa-gis.csiro.au/data/CgE/ww3.aus_4m.CgE_avg01.nc</dc:URI>
</csw:Record>
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<dc:identifier>1e71c496d3b441beee9c72c46de11adc4b96d0e5</dc:identifier>
<dc:date>2020-09-23T13:24:28</dc:date>
<dc:title>(Month 02) February Mean Wave Energy Flux</dc:title>
<dc:subject>Earth Science | Oceans | Ocean Waves</dc:subject>
<dc:subject>ww3.aus_4m.CgE_avg02</dc:subject>
<dc:subject>WCS</dc:subject>
<dc:subject>GeoTIFF</dc:subject>
<dc:subject>Wave Energy Resource | Wave Energy Flux | Monthly Means</dc:subject>
<dct:abstract>The February mean wave energy flux is derived from the CAWCR global wave hindcast, using data from the archived hourly 4’ Australian grid, using February data from February 1980 to February 2010.
Wave energy flux, or wave power density, CgE, is a measure of the available power in the wave field, calculated as the kilowatts per meter (kW/m) of wave crest width. CgE is a spectrally derived time-series. An equation describing its calculation can be found in the the atlas report (Hemer et al., 2016).
For further information on the CAWCR wave hindcast, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.</dct:abstract>
<dc:description>The February mean wave energy flux is derived from the CAWCR global wave hindcast, using data from the archived hourly 4’ Australian grid, using February data from February 1980 to February 2010.
Wave energy flux, or wave power density, CgE, is a measure of the available power in the wave field, calculated as the kilowatts per meter (kW/m) of wave crest width. CgE is a spectrally derived time-series. An equation describing its calculation can be found in the the atlas report (Hemer et al., 2016).
For further information on the CAWCR wave hindcast, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.</dc:description>
<dc:contributor>Input data: NCEP CFSv2 surface winds and sea ice, http://cfs.ncep.noaa.gov. Wave model used: WaveWatch III, http://polar.ncep.noaa.gov/waves/wavewatch/wavewatch.shtml The Centre for Australian Weather and Climate Research (CAWCR) is a partnership between the Bureau of Meteorology and CSIRO. Hindcast modelling undertaken as part of the PACCSAP (Pacific-Australia Climate Change Science and Adaptation Planning) Project 4.3 "High resolution wind-wave climate and projections of change in the Pacific region for coastal hazard assessments" in 2012, funded by DCCEE and AusAID and undertaken jointly by CSIRO and the BoM. This dataset was produced as part of the Australian Renewable Energy Agency – CSIRO Oceans and Atmosphere Flagship co-funded Australian Wave Energy Atlas Project.</dc:contributor>
<dc:contributor>Bureau of Meteorology Australia
CSIRO Australia</dc:contributor>
<dc:language />
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<dc:date>2020-09-23T13:24:28</dc:date>
<dc:title>(Month 03) March Mean Wave Energy Flux</dc:title>
<dc:subject>Earth Science | Oceans | Ocean Waves</dc:subject>
<dc:subject>ww3.aus_4m.CgE_avg03</dc:subject>
<dc:subject>WCS</dc:subject>
<dc:subject>GeoTIFF</dc:subject>
<dc:subject>Wave Energy Resource | Wave Energy Flux | Monthly Means</dc:subject>
<dct:abstract>The March mean wave energy flux is derived from the CAWCR global wave hindcast, using data from the archived hourly 4’ Australian grid, using March data from March 1980 to March 2010.
Wave energy flux, or wave power density, CgE, is a measure of the available power in the wave field, calculated as the kilowatts per meter (kW/m) of wave crest width. CgE is a spectrally derived time-series. An equation describing its calculation can be found in the the atlas report (Hemer et al., 2016).
For further information on the CAWCR wave hindcast, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.</dct:abstract>
<dc:description>The March mean wave energy flux is derived from the CAWCR global wave hindcast, using data from the archived hourly 4’ Australian grid, using March data from March 1980 to March 2010.
Wave energy flux, or wave power density, CgE, is a measure of the available power in the wave field, calculated as the kilowatts per meter (kW/m) of wave crest width. CgE is a spectrally derived time-series. An equation describing its calculation can be found in the the atlas report (Hemer et al., 2016).
For further information on the CAWCR wave hindcast, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.</dc:description>
<dc:contributor>Input data: NCEP CFSv2 surface winds and sea ice, http://cfs.ncep.noaa.gov. Wave model used: WaveWatch III, http://polar.ncep.noaa.gov/waves/wavewatch/wavewatch.shtml The Centre for Australian Weather and Climate Research (CAWCR) is a partnership between the Bureau of Meteorology and CSIRO. Hindcast modelling undertaken as part of the PACCSAP (Pacific-Australia Climate Change Science and Adaptation Planning) Project 4.3 "High resolution wind-wave climate and projections of change in the Pacific region for coastal hazard assessments" in 2012, funded by DCCEE and AusAID and undertaken jointly by CSIRO and the BoM. This dataset was produced as part of the Australian Renewable Energy Agency – CSIRO Oceans and Atmosphere Flagship co-funded Australian Wave Energy Atlas Project.</dc:contributor>
<dc:contributor>Bureau of Meteorology Australia
CSIRO Australia</dc:contributor>
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<dc:date>2020-09-23T13:24:29</dc:date>
<dc:title>(Month 04) April Mean Wave Energy Flux</dc:title>
<dc:subject>Earth Science | Oceans | Ocean Waves</dc:subject>
<dc:subject>ww3.aus_4m.CgE_avg04</dc:subject>
<dc:subject>WCS</dc:subject>
<dc:subject>GeoTIFF</dc:subject>
<dc:subject>Wave Energy Resource | Wave Energy Flux | Monthly Means</dc:subject>
<dct:abstract>The April mean wave energy flux is derived from the CAWCR global wave hindcast, using data from the archived hourly 4’ Australian grid, using April data from April 1980 to April 2010.
Wave energy flux, or wave power density, CgE, is a measure of the available power in the wave field, calculated as the kilowatts per meter (kW/m) of wave crest width. CgE is a spectrally derived time-series. An equation describing its calculation can be found in the the atlas report (Hemer et al., 2016).
For further information on the CAWCR wave hindcast, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.</dct:abstract>
<dc:description>The April mean wave energy flux is derived from the CAWCR global wave hindcast, using data from the archived hourly 4’ Australian grid, using April data from April 1980 to April 2010.
Wave energy flux, or wave power density, CgE, is a measure of the available power in the wave field, calculated as the kilowatts per meter (kW/m) of wave crest width. CgE is a spectrally derived time-series. An equation describing its calculation can be found in the the atlas report (Hemer et al., 2016).
For further information on the CAWCR wave hindcast, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.</dc:description>
<dc:contributor>Input data: NCEP CFSv2 surface winds and sea ice, http://cfs.ncep.noaa.gov. Wave model used: WaveWatch III, http://polar.ncep.noaa.gov/waves/wavewatch/wavewatch.shtml The Centre for Australian Weather and Climate Research (CAWCR) is a partnership between the Bureau of Meteorology and CSIRO. Hindcast modelling undertaken as part of the PACCSAP (Pacific-Australia Climate Change Science and Adaptation Planning) Project 4.3 "High resolution wind-wave climate and projections of change in the Pacific region for coastal hazard assessments" in 2012, funded by DCCEE and AusAID and undertaken jointly by CSIRO and the BoM. This dataset was produced as part of the Australian Renewable Energy Agency – CSIRO Oceans and Atmosphere Flagship co-funded Australian Wave Energy Atlas Project.</dc:contributor>
<dc:contributor>Bureau of Meteorology Australia
CSIRO Australia</dc:contributor>
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<dc:identifier>2bebb513194a94f238944b12e3983a9950b47379</dc:identifier>
<dc:date>2020-09-23T13:24:29</dc:date>
<dc:title>(Month 05) May Mean Wave Energy Flux</dc:title>
<dc:subject>Earth Science | Oceans | Ocean Waves</dc:subject>
<dc:subject>ww3.aus_4m.CgE_avg05</dc:subject>
<dc:subject>WCS</dc:subject>
<dc:subject>GeoTIFF</dc:subject>
<dc:subject>Wave Energy Resource | Wave Energy Flux | Monthly Means</dc:subject>
<dct:abstract>The May mean wave energy flux is derived from the CAWCR global wave hindcast, using data from the archived hourly 4’ Australian grid, using May data from May 1980 to May 2010.
Wave energy flux, or wave power density, CgE, is a measure of the available power in the wave field, calculated as the kilowatts per meter (kW/m) of wave crest width. CgE is a spectrally derived time-series. An equation describing its calculation can be found in the the atlas report (Hemer et al., 2016).
For further information on the CAWCR wave hindcast, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.</dct:abstract>
<dc:description>The May mean wave energy flux is derived from the CAWCR global wave hindcast, using data from the archived hourly 4’ Australian grid, using May data from May 1980 to May 2010.
Wave energy flux, or wave power density, CgE, is a measure of the available power in the wave field, calculated as the kilowatts per meter (kW/m) of wave crest width. CgE is a spectrally derived time-series. An equation describing its calculation can be found in the the atlas report (Hemer et al., 2016).
For further information on the CAWCR wave hindcast, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.</dc:description>
<dc:contributor>Input data: NCEP CFSv2 surface winds and sea ice, http://cfs.ncep.noaa.gov. Wave model used: WaveWatch III, http://polar.ncep.noaa.gov/waves/wavewatch/wavewatch.shtml The Centre for Australian Weather and Climate Research (CAWCR) is a partnership between the Bureau of Meteorology and CSIRO. Hindcast modelling undertaken as part of the PACCSAP (Pacific-Australia Climate Change Science and Adaptation Planning) Project 4.3 "High resolution wind-wave climate and projections of change in the Pacific region for coastal hazard assessments" in 2012, funded by DCCEE and AusAID and undertaken jointly by CSIRO and the BoM. This dataset was produced as part of the Australian Renewable Energy Agency – CSIRO Oceans and Atmosphere Flagship co-funded Australian Wave Energy Atlas Project.</dc:contributor>
<dc:contributor>Bureau of Meteorology Australia
CSIRO Australia</dc:contributor>
<dc:language />
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<dc:URI protocol="WWW:LINK-1.0-http--link" name="ww3.aus_4m.CgE_avg05.nc" description="Download: ww3.aus_4m.CgE_avg05.nc">http://oa-gis.csiro.au/data/CgE/ww3.aus_4m.CgE_avg05.nc</dc:URI>
</csw:Record>
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<dc:identifier>cc288e886da719dedb8a4b00168928d30146339a</dc:identifier>
<dc:date>2020-09-23T13:24:29</dc:date>
<dc:title>(Month 06) June Mean Wave Energy Flux</dc:title>
<dc:subject>Earth Science | Oceans | Ocean Waves</dc:subject>
<dc:subject>ww3.aus_4m.CgE_avg06</dc:subject>
<dc:subject>WCS</dc:subject>
<dc:subject>GeoTIFF</dc:subject>
<dc:subject>Wave Energy Resource | Wave Energy Flux | Monthly Means</dc:subject>
<dct:abstract>The June mean wave energy flux is derived from the CAWCR global wave hindcast, using data from the archived hourly 4’ Australian grid, using June data from June 1980 to June 2010.
Wave energy flux, or wave power density, CgE, is a measure of the available power in the wave field, calculated as the kilowatts per meter (kW/m) of wave crest width. CgE is a spectrally derived time-series. An equation describing its calculation can be found in the the atlas report (Hemer et al., 2016).
For further information on the CAWCR wave hindcast, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.</dct:abstract>
<dc:description>The June mean wave energy flux is derived from the CAWCR global wave hindcast, using data from the archived hourly 4’ Australian grid, using June data from June 1980 to June 2010.
Wave energy flux, or wave power density, CgE, is a measure of the available power in the wave field, calculated as the kilowatts per meter (kW/m) of wave crest width. CgE is a spectrally derived time-series. An equation describing its calculation can be found in the the atlas report (Hemer et al., 2016).
For further information on the CAWCR wave hindcast, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.</dc:description>
<dc:contributor>Input data: NCEP CFSv2 surface winds and sea ice, http://cfs.ncep.noaa.gov. Wave model used: WaveWatch III, http://polar.ncep.noaa.gov/waves/wavewatch/wavewatch.shtml The Centre for Australian Weather and Climate Research (CAWCR) is a partnership between the Bureau of Meteorology and CSIRO. Hindcast modelling undertaken as part of the PACCSAP (Pacific-Australia Climate Change Science and Adaptation Planning) Project 4.3 "High resolution wind-wave climate and projections of change in the Pacific region for coastal hazard assessments" in 2012, funded by DCCEE and AusAID and undertaken jointly by CSIRO and the BoM. This dataset was produced as part of the Australian Renewable Energy Agency – CSIRO Oceans and Atmosphere Flagship co-funded Australian Wave Energy Atlas Project.</dc:contributor>
<dc:contributor>Bureau of Meteorology Australia
CSIRO Australia</dc:contributor>
<dc:language />
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<dc:identifier>f0b1c457837d5adf590b304f052722944fa2fc07</dc:identifier>
<dc:date>2020-09-23T13:24:29</dc:date>
<dc:title>(Month 07) July Mean Wave Energy Flux</dc:title>
<dc:subject>Earth Science | Oceans | Ocean Waves</dc:subject>
<dc:subject>ww3.aus_4m.CgE_avg07</dc:subject>
<dc:subject>WCS</dc:subject>
<dc:subject>GeoTIFF</dc:subject>
<dc:subject>Wave Energy Resource | Wave Energy Flux | Monthly Means</dc:subject>
<dct:abstract>The July mean wave energy flux is derived from the CAWCR global wave hindcast, using data from the archived hourly 4’ Australian grid, using July data from July 1980 to July 2010.
Wave energy flux, or wave power density, CgE, is a measure of the available power in the wave field, calculated as the kilowatts per meter (kW/m) of wave crest width. CgE is a spectrally derived time-series. An equation describing its calculation can be found in the the atlas report (Hemer et al., 2016).
For further information on the CAWCR wave hindcast, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.</dct:abstract>
<dc:description>The July mean wave energy flux is derived from the CAWCR global wave hindcast, using data from the archived hourly 4’ Australian grid, using July data from July 1980 to July 2010.
Wave energy flux, or wave power density, CgE, is a measure of the available power in the wave field, calculated as the kilowatts per meter (kW/m) of wave crest width. CgE is a spectrally derived time-series. An equation describing its calculation can be found in the the atlas report (Hemer et al., 2016).
For further information on the CAWCR wave hindcast, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.</dc:descr