Data

SST Atlas of Australian Regional Seas (SSTAARS) - Daily climatology fit

Australian Ocean Data Network
CSIRO Oceans and Atmosphere - Hobart
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://catalogue-aodn.prod.aodn.org.au/geonetwork/srv/eng/search?uuid=79c8eea2-4e86-4553-8237-4728e27abe10&rft.title=SST Atlas of Australian Regional Seas (SSTAARS) - Daily climatology fit&rft.identifier=http://catalogue-aodn.prod.aodn.org.au/geonetwork/srv/eng/search?uuid=79c8eea2-4e86-4553-8237-4728e27abe10&rft.description=25 years of Advanced Very High-Resolution Radiometer (AVHRR) data from NOAA Polar Orbiting Environmental Satellites received by six Australian and two Antarctic reception stations have been used to construct a detailed climatology of sea surface temperature (SST) at 20 cm depth around Australasia. The resulting atlas, known as the SST Atlas of Australian Regional Seas (SSTAARS), has a spatial resolution of ~2km and thus reveals unprecedented detail of regional oceanographic phenomena, including tidally-driven entrainment cooling over shelves and reef flats, wind-driven upwelling, shelf winter water fronts, cold river plumes, the footprint of the seasonal boundary current flows and standing mesoscale features in the major offshore currents. The atlas (and associated statistics) will provide a benchmark for high-resolution ocean modelers and be a resource for ecosystem studies where temperatures, and their extremes, impact on ocean chemistry, species ranges and distribution. The SST data used to construct the atlas were one-day composites of night-only AVHRR SST (L3S-1day night) for the period 21 March 1992 to 31 December 2016 provided through the Integrated Marine Observing System (IMOS: http://www.imos.org.au).Maintenance and Update Frequency: asNeededStatement: The data have been processed following international GHRSST protocols to help reduce instrument bias using in situ data, with only night-time nearly cloud-free data used to reduce diurnal bias and cloud contamination. A pixel-wise climatology (with four annual sinusoids) and linear trend are fit to the data using a robust technique and monthly non-seasonal percentiles derived. The daily fit can be reconstructed from the intra and inter seasonal mean of sea surface skin temperature (tm) and the four annual complex coefficients (ta, t2a, t3a, t4a) following the formula: tm + real(ta*exp(1i*doyf*af)\') + real(t2a*exp(1i*doyf*2*af)\') + real(t3a*exp(1i*doyf*3*af)\') + real(t4a*exp(1i*doyf*4*af)\') with doyf = DAY_OF_YEAR/365.25) and af = 2*pi/1. The mean and the complex coefficients can be found in http://thredds-rc.aodn.org.au/thredds/catalog/CSIRO/Climatology/SSTAARS/2017/catalog.html?dataset=CSIRO/Climatology/SSTAARS/2017/SSTAARS.nc .&rft.creator=CSIRO Oceans and Atmosphere - Hobart &rft.date=2017&rft.coverage=westlimit=70.01; southlimit=-69.99; eastlimit=-170.01; northlimit=19.99&rft.coverage=westlimit=70.01; southlimit=-69.99; eastlimit=-170.01; northlimit=19.99&rft_rights= http://creativecommons.org/licenses/by/4.0/&rft_rights=http://i.creativecommons.org/l/by/4.0/88x31.png&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Graphic&rft_rights=Creative Commons Attribution 4.0 International License&rft_rights=http://creativecommons.org/international/&rft_rights=WWW:LINK-1.0-http--related&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Text&rft_rights=The citation in a list of references is: CSIRO (2017), SST Atlas of Australian Regional Seas (SSTAARS) - Daily climatology fit, [data-access-URL], accessed [date-of-access].&rft_rights=The User agrees that whenever the Product or imagery/data derived from the Product are published by the User, the CSIRO Marine Laboratories shall be acknowledged as the source of the Product.&rft_rights=The User acknowledges that the Product was developed by CSIRO for its own research purposes. The CSIRO will not therefore be liable for interpretation of or inconsistencies, discrepancies, errors or omissions in any or all of the Product as supplied. Any use of or reliance by the User on the Product or any part thereof is at the User\'s own risk and CSIRO shall not be liable for any loss or damage howsoever arising as a result of such use. The User agrees to indemnify and hold harmless CSIRO in respect of any loss or damage (including any rights arising from negligence or infringement of third party intellectual property rights) suffered by CSIRO as a result of User\'s use of or reliance on the Data.&rft_rights=Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0&rft_subject=oceans&rft_subject=climatologyMeteorologyAtmosphere&rft_subject=WATER TEMPERATURE&rft_subject=EARTH SCIENCE&rft_subject=OCEANS&rft_subject=OCEAN TEMPERATURE&rft_subject=Radiometers | Advanced Very High Resolution Radiometer (AVHRR)&rft_subject=climatology&rft_subject=seasonal cycle&rft_subject=boundary currents&rft_subject=tidal mixing&rft_subject=warming trends&rft_subject=satellite observations&rft_subject=Global / Oceans | Indian Ocean&rft_subject=Global / Oceans | Southern Ocean&rft_subject=Global / Oceans | Pacific Ocean&rft_subject=Regional Seas | Tasman Sea&rft_subject=Regional Seas | Arafura Sea&rft_subject=Regional Seas | Banda Sea&rft_subject=Regional Seas | Java Sea&rft_subject=Regional Seas | South China Sea&rft_subject=Marine Features (Australia) | Great Australian Bight, SA/WA&rft_subject=Regional Seas | Solomon Sea&rft_subject=Regional Seas | Bismarck Sea&rft_subject=Regional Seas | Philippine Sea&rft_subject=Regional Seas | Celebes Sea&rft_subject=Regional Seas | Coral Sea&rft_subject=Marine Features (Australia) | Bass Strait, TAS/VIC&rft_subject=Regional Seas | Timor Sea&rft_subject=States, Territories (Australia) | Tasmania&rft_subject=Countries | Philippines&rft_subject=States, Territories (Australia) | Victoria&rft_subject=Countries | New Zealand&rft_subject=Countries | Singapore&rft_subject=Countries | Australia&rft_subject=States, Territories (Australia) | Queensland&rft_subject=States, Territories (Australia) | Northern Territory&rft_subject=Countries | Indonesia&rft_subject=Countries | Vanuatu&rft_subject=States, Territories (Australia) | South Australia&rft_subject=Countries | Fiji&rft_subject=States, Territories (Australia) | Western Australia&rft_subject=Countries | Papua New Guinea&rft_subject=Countries | Malaysia&rft_subject=States, Territories (Australia) | New South Wales&rft_subject=Countries | New Caledonia&rft_subject=Countries | Timor-Leste&rft_subject=orbiting satellite&rft_subject=Temperature of the water body&rft_subject=atmospheric radiometers&rft.type=dataset&rft.language=English Access the data
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The citation in a list of references is: CSIRO (2017), SST Atlas of Australian Regional Seas (SSTAARS) - Daily climatology fit, [data-access-URL], accessed [date-of-access]."

The User agrees that whenever the Product or imagery/data derived from the Product are published by the User, the CSIRO Marine Laboratories shall be acknowledged as the source of the Product.

The User acknowledges that the Product was developed by CSIRO for its own research purposes. The CSIRO will not therefore be liable for interpretation of or inconsistencies, discrepancies, errors or omissions in any or all of the Product as supplied. Any use of or reliance by the User on the Product or any part thereof is at the User\'s own risk and CSIRO shall not be liable for any loss or damage howsoever arising as a result of such use. The User agrees to indemnify and hold harmless CSIRO in respect of any loss or damage (including any rights arising from negligence or infringement of third party intellectual property rights) suffered by CSIRO as a result of User\'s use of or reliance on the Data.

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Brief description

25 years of Advanced Very High-Resolution Radiometer (AVHRR) data from NOAA Polar Orbiting Environmental Satellites received by six Australian and two Antarctic reception stations have been used to construct a detailed climatology of sea surface temperature (SST) at 20 cm depth around Australasia. The resulting atlas, known as the SST Atlas of Australian Regional Seas (SSTAARS), has a spatial resolution of ~2km and thus reveals unprecedented detail of regional oceanographic phenomena, including tidally-driven entrainment cooling over shelves and reef flats, wind-driven upwelling, shelf winter water fronts, cold river plumes, the footprint of the seasonal boundary current flows and standing mesoscale features in the major offshore currents. The atlas (and associated statistics) will provide a benchmark for high-resolution ocean modelers and be a resource for ecosystem studies where temperatures, and their extremes, impact on ocean chemistry, species ranges and distribution. The SST data used to construct the atlas were one-day composites of night-only AVHRR SST (L3S-1day night) for the period 21 March 1992 to 31 December 2016 provided through the Integrated Marine Observing System (IMOS: http://www.imos.org.au).

Lineage

Maintenance and Update Frequency: asNeeded
Statement: The data have been processed following international GHRSST protocols to help reduce instrument bias using in situ data, with only night-time nearly cloud-free data used to reduce diurnal bias and cloud contamination. A pixel-wise climatology (with four annual sinusoids) and linear trend are fit to the data using a robust technique and monthly non-seasonal percentiles derived. The daily fit can be reconstructed from the intra and inter seasonal mean of sea surface skin temperature (tm) and the four annual complex coefficients (ta, t2a, t3a, t4a) following the formula: tm + real(ta*exp(1i*doyf*af)\') + real(t2a*exp(1i*doyf*2*af)\') + real(t3a*exp(1i*doyf*3*af)\') + real(t4a*exp(1i*doyf*4*af)\') with doyf = DAY_OF_YEAR/365.25) and af = 2*pi/1. The mean and the complex coefficients can be found in http://thredds-rc.aodn.org.au/thredds/catalog/CSIRO/Climatology/SSTAARS/2017/catalog.html?dataset=CSIRO/Climatology/SSTAARS/2017/SSTAARS.nc .

Notes

Credit
Australia’s Integrated Marine Observing System (IMOS) is enabled by the National Collaborative Research Infrastructure Strategy (NCRIS). It is operated by a consortium of institutions as an unincorporated joint venture, with the University of Tasmania as Lead Agent.
Credit
Bureau of Meteorology (BOM)
Credit
CSIRO Marine and Atmospheric Research (CMAR)

Created: 28 11 2017

Data time period: 21 03 1992 to 2017

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-170.01,19.99 -170.01,-69.99 70.01,-69.99 70.01,19.99 -170.01,19.99

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Subjects
Countries | Australia | Countries | Fiji | Countries | Indonesia | Countries | Malaysia | Countries | New Caledonia | Countries | New Zealand | Countries | Papua New Guinea | Countries | Philippines | Countries | Singapore | Countries | Timor-Leste | Countries | Vanuatu | EARTH SCIENCE | Global / Oceans | Indian Ocean | Global / Oceans | Pacific Ocean | Global / Oceans | Southern Ocean | Marine Features (Australia) | Bass Strait, TAS/VIC | Marine Features (Australia) | Great Australian Bight, SA/WA | OCEAN TEMPERATURE | OCEANS | Radiometers | Advanced Very High Resolution Radiometer (AVHRR) | Regional Seas | Arafura Sea | Regional Seas | Banda Sea | Regional Seas | Bismarck Sea | Regional Seas | Celebes Sea | Regional Seas | Coral Sea | Regional Seas | Java Sea | Regional Seas | Philippine Sea | Regional Seas | Solomon Sea | Regional Seas | South China Sea | Regional Seas | Tasman Sea | Regional Seas | Timor Sea | States, Territories (Australia) | New South Wales | States, Territories (Australia) | Northern Territory | States, Territories (Australia) | Queensland | States, Territories (Australia) | South Australia | States, Territories (Australia) | Tasmania | States, Territories (Australia) | Victoria | States, Territories (Australia) | Western Australia | Temperature of the water body | Water Temperature | atmospheric radiometers | boundary currents | climatology | climatologyMeteorologyAtmosphere | oceans | orbiting satellite | satellite observations | seasonal cycle | tidal mixing | warming trends |

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Other Information
Sea surface temperature Australia - WMS layer (sstaars_daily_fit_url/TEMP)

uri : http://geoserver-123.aodn.org.au/geoserver/ncwms

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Identifiers
  • global : 79c8eea2-4e86-4553-8237-4728e27abe10
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