Data

Statistically downscaled Australian continental shelf sea surface temperatures

Australian Ocean Data Network
Oliver, Eric ; Holbrook, Neil
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=info:doi10.4226/77/57213b25e2204&rft.title=Statistically downscaled Australian continental shelf sea surface temperatures&rft.identifier=10.4226/77/57213b25e2204&rft.description=The Oliver and Holbrook (Journal Atmospheric and Oceanic Technology, 2014), or OH14, data set provides spatially and temporally homogeneous measurements of sea surface temperature (SST) variability at high resolution on the continental shelf around Australia.Maintenance and Update Frequency: notPlannedStatement: The data arises from a hybrid statistical-physical downscaling model designed to more accurately and robustly represent SST on the continental shelf informed by large-scale satellite observations and reanalysis data. The downscaled shelf SST is modeled using: (i) offshore SST from Bluelink ReANalysis (BRAN), (ii) the statistical relationship between inshore and offshore SST in observations from the Advanced Very High Resolution Radiometer (AVHRR), and (iii) the mean circulation which provides connectivity information between the shelf and the offshore regions. The SST time series' were separated into the mean, seasonal cycle, and the residual variability, and separate models were developed for each component. Methodology is detailed in Oliver, E. C. J. and N. J. Holbrook (2014), A statistical method for improving continental shelf and nearshore marine climate predictions, Journal of Atmospheric and Oceanic Technology, 31, pp. 216-232, doi: 10.1175/JTECH-D-13-00052.1.&rft.creator=Oliver, Eric &rft.creator=Holbrook, Neil &rft.date=2021&rft.coverage=westlimit=112.00; southlimit=-44.00; eastlimit=154.00; northlimit=-20.00&rft.coverage=westlimit=112.00; southlimit=-44.00; eastlimit=154.00; northlimit=-20.00&rft_rights=Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/&rft_rights=Cite data as: Oliver, E., & Holbrook, N. (2014). Statistically downscaled Australian continental shelf sea surface temperatures [Data set]. Institute for Marine and Antarctic Studies. https://doi.org/10.4226/77/57213B25E2204&rft_rights=The data described in this record are the intellectual property of the University of Tasmania through the Institute for Marine and Antarctic Studies.&rft_subject=oceans&rft_subject=Continental shelf&rft_subject=Downscaling&rft_subject=EARTH SCIENCE SERVICES | MODELS&rft_subject=EARTH SCIENCE | OCEANS | OCEAN TEMPERATURE | SEA SURFACE TEMPERATURE&rft_subject=Temperate Reef&rft_subject=Marine and Estuarine Ecology (incl. Marine Ichthyology)&rft_subject=BIOLOGICAL SCIENCES&rft_subject=ECOLOGY&rft_subject=Physical Oceanography&rft_subject=EARTH SCIENCES&rft_subject=OCEANOGRAPHY&rft_subject=Temperature of the water body&rft.type=dataset&rft.language=English Access the data
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Creative Commons Attribution 4.0 International License
http://creativecommons.org/licenses/by/4.0/

Cite data as: Oliver, E., & Holbrook, N. (2014). Statistically downscaled Australian continental shelf sea surface temperatures [Data set]. Institute for Marine and Antarctic Studies. https://doi.org/10.4226/77/57213B25E2204

The data described in this record are the intellectual property of the University of Tasmania through the Institute for Marine and Antarctic Studies.

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Brief description

The Oliver and Holbrook (Journal Atmospheric and Oceanic Technology, 2014), or OH14, data set provides spatially and temporally homogeneous measurements of sea surface temperature (SST) variability at high resolution on the continental shelf around Australia.

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Maintenance and Update Frequency: notPlanned
Statement: The data arises from a hybrid statistical-physical downscaling model designed to more accurately and robustly represent SST on the continental shelf informed by large-scale satellite observations and reanalysis data. The downscaled shelf SST is modeled using: (i) offshore SST from Bluelink ReANalysis (BRAN), (ii) the statistical relationship between inshore and offshore SST in observations from the Advanced Very High Resolution Radiometer (AVHRR), and (iii) the mean circulation which provides connectivity information between the shelf and the offshore regions. The SST time series' were separated into the mean, seasonal cycle, and the residual variability, and separate models were developed for each component. Methodology is detailed in Oliver, E. C. J. and N. J. Holbrook (2014), A statistical method for improving continental shelf and nearshore marine climate predictions, Journal of Atmospheric and Oceanic Technology, 31, pp. 216-232, doi: 10.1175/JTECH-D-13-00052.1.

Notes

Credit
Australian Research Council Centre of Excellence for Climate System Science (CE110001028)
Credit
Australian Research Council Super Science Fellowship (FS110200029)
Purpose
Provides spatially and temporally homogeneous measurements of sea surface temperature (SST) variability at high resolution on the Australian continental shelf.

Data time period: 1992-10-14 to 2008-05-13

This dataset is part of a larger collection

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154,-20 154,-44 112,-44 112,-20 154,-20

133,-32

text: westlimit=112.00; southlimit=-44.00; eastlimit=154.00; northlimit=-20.00

Subjects
Biological Sciences | Continental shelf | Downscaling | EARTH SCIENCE SERVICES | MODELS | EARTH SCIENCE | OCEANS | OCEAN TEMPERATURE | SEA SURFACE TEMPERATURE | Earth Sciences | Ecology | Marine and Estuarine Ecology (Incl. Marine Ichthyology) | Oceanography | Physical Oceanography | Temperate Reef | Temperature of the water body | oceans |

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