Data

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

Australian Ocean Data Network
CSIRO Oceans and Atmosphere - Hobart
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
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).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=northlimit=19.99; southlimit=-69.99; westlimit=70.01; eastLimit=189.99&rft.coverage=northlimit=19.99; southlimit=-69.99; westlimit=70.01; eastLimit=189.99&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=Marine Features (Australia) | Great Australian Bight, SA/WA&rft_subject=Marine Features (Australia) | Bass Strait, TAS/VIC&rft_subject=Regional Seas | Tasman Sea&rft_subject=Regional Seas | Timor Sea&rft_subject=Regional Seas | Coral Sea&rft_subject=Regional Seas | Arafura Sea&rft_subject=Regional Seas | Banda Sea&rft_subject=Regional Seas | Java Sea&rft_subject=Regional Seas | Solomon Sea&rft_subject=Regional Seas | Bismarck Sea&rft_subject=Regional Seas | Celebes Sea&rft_subject=Regional Seas | South China Sea&rft_subject=Regional Seas | Philippine Sea&rft_subject=Countries | Australia&rft_subject=Countries | Papua New Guinea&rft_subject=Countries | Indonesia&rft_subject=Countries | Timor-Leste&rft_subject=Countries | New Zealand&rft_subject=Countries | Philippines&rft_subject=Countries | Malaysia&rft_subject=Countries | Singapore&rft_subject=Countries | Fiji&rft_subject=Countries | Vanuatu&rft_subject=Countries | New Caledonia&rft_subject=States, Territories (Australia) | Western Australia&rft_subject=States, Territories (Australia) | South Australia&rft_subject=States, Territories (Australia) | Tasmania&rft_subject=States, Territories (Australia) | Victoria&rft_subject=States, Territories (Australia) | New South Wales&rft_subject=States, Territories (Australia) | Queensland&rft_subject=States, Territories (Australia) | Northern Territory&rft_subject=orbiting satellite&rft_subject=Temperature of the water body&rft_subject=atmospheric radiometers&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

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Creative Commons Attribution 4.0 International License
http://creativecommons.org/licenses/by/4.0

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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

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

This dataset is part of a larger collection

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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uri : https://help.aodn.org.au/web-services/gogoduck-aggregator/

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