Data

OFAM3_SST_GBR

Commonwealth Scientific and Industrial Research Organisation
Cyriac, Ajitha ; Sun, Chaojiao ; Taylor, John ; Matear, Richard ; Condie, Scott ; Papari, Jyoteesh ; Liu, Tongliang
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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=info:doi10.25919/p2pf-pf93&rft.title=OFAM3_SST_GBR&rft.identifier=https://doi.org/10.25919/p2pf-pf93&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=This repository contains daily sea surface surface temperature (SST) data from the historic run during 1979 – 2014 and a future climate downscaling run under a high-emission scenario of Representative Concentration Pathway 8.5 (RCP8.5) during 2006 – 2101 of the Ocean Forecasting Australia Model Version 3 (OFAM3) for the Great Barrier Reef region.  These data have been used in the study A machine learning approach to rapidly downscale sea surface temperature extremes and heat stress on the Great Barrier Reef, Geophysical Research Letters.  &rft.creator=Cyriac, Ajitha &rft.creator=Sun, Chaojiao &rft.creator=Taylor, John &rft.creator=Matear, Richard &rft.creator=Condie, Scott &rft.creator=Papari, Jyoteesh &rft.creator=Liu, Tongliang &rft.date=2025&rft.edition=v1&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2025.&rft_subject=OFAM3 model&rft_subject=Sea surface temperature&rft_subject=Physical oceanography&rft_subject=Oceanography&rft_subject=EARTH SCIENCES&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/

Data is accessible online and may be reused in accordance with licence conditions

All Rights (including copyright) CSIRO 2025.

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This repository contains daily sea surface surface temperature (SST) data from the historic run during 1979 – 2014 and a future climate downscaling run under a high-emission scenario of Representative Concentration Pathway 8.5 (RCP8.5) during 2006 – 2101 of the Ocean Forecasting Australia Model Version 3 (OFAM3) for the Great Barrier Reef region.  These data have been used in the study "A machine learning approach to rapidly downscale sea surface temperature extremes and heat stress on the Great Barrier Reef", Geophysical Research Letters.  

Available: 2025-03-17

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ACN 633 798 857