Data

Oceanographic Drivers of Bleaching in the GBR: from observations to predictions (NESP TWQ 4.2, AIMS)

Australian Institute of Marine Science
Australian Institute of Marine Science (AIMS)
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=https://apps.aims.gov.au/metadata/view/30f9677d-b086-4edc-8b76-01e318d3a3c3&rft.title=Oceanographic Drivers of Bleaching in the GBR: from observations to predictions (NESP TWQ 4.2, AIMS)&rft.identifier=https://apps.aims.gov.au/metadata/view/30f9677d-b086-4edc-8b76-01e318d3a3c3&rft.publisher=Australian Institute of Marine Science (AIMS)&rft.description=This project seeks to understand how local, regional and global oceanographic and meteorological processes influence the severity and spatial variability of thermally driven coral bleaching for the Great Barrier Reef (GBR) and Torres Strait. All available relevant environmental observations of the recent bleaching events will be gathered to be more easily discoverable to researchers and managers via a gateway/summary webpage. The data will be used to assess how well the eReefs models are modelling the recent warming during bleaching events and then analyse the reasons behind the variations of bleaching response. 3D versions of remotely sensed bleaching products by NOAA and BoM will be produced and a seasonal prediction capability for marine heatwaves will be developed.The research is structured in three main components:1 – Summary of oceanographic conditions during the 2015-17 bleaching years2 – Hydrodynamics of bleaching and improved predictions3 – Improved seasonal predictions of marine heatwaves in the GBR This project is funded by the National Environment Science Program's Tropical Water Quality HubMaintenance and Update Frequency: asNeeded&rft.creator=Australian Institute of Marine Science (AIMS) &rft.date=2026&rft.coverage=142.24052354210528,-11.037751430582144 143.60766519000174,-14.46505604267402 145.10501846756853,-15.220004278936182 145.36542026993797,-18.149802942164374 147.96951339303178,-20.05620031197894 152.65686384902367,-25.513898921113505 154.87032208310643,-24.15543589250119 152.79454378906448,-20.599330225338317 147.56758492189022,-17.356620959031975 144.3018065565936,-11.020795195550084 142.17445097361127,-11.019976671723157 142.24052354210528,-11.037751430582144 142.17445097361127,-11.019976671723157 144.3018065565936,-11.020795195550084 147.56758492189022,-17.356620959031975 152.79454378906448,-20.599330225338317 154.87032208310643,-24.15543589250119 152.65686384902367,-25.513898921113505 147.96951339303178,-20.05620031197894 145.36542026993797,-18.149802942164374 145.10501846756853,-15.220004278936182 143.60766519000174,-14.46505604267402 142.24052354210528,-11.037751430582144&rft_rights=Creative Commons Attribution 3.0 Australia License http://creativecommons.org/licenses/by/3.0/au/&rft_rights=Use Limitation: All AIMS data, products and services are provided as is and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.&rft_rights=Attribution: Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: Australian Institute of Marine Science (AIMS). (2019). Oceanographic Drivers of Bleaching in the GBR: from observations to predictions (NESP TWQ 4.2, AIMS). https://apps.aims.gov.au/metadata/view/30f9677d-b086-4edc-8b76-01e318d3a3c3, accessed[date-of-access].&rft_subject=oceans&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY

Creative Commons Attribution 3.0 Australia License
http://creativecommons.org/licenses/by/3.0/au/

Use Limitation: All AIMS data, products and services are provided "as is" and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.

Attribution: Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: "Australian Institute of Marine Science (AIMS). (2019). Oceanographic Drivers of Bleaching in the GBR: from observations to predictions (NESP TWQ 4.2, AIMS). https://apps.aims.gov.au/metadata/view/30f9677d-b086-4edc-8b76-01e318d3a3c3, accessed[date-of-access]".

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Full description

This project seeks to understand how local, regional and global oceanographic and meteorological processes influence the severity and spatial variability of thermally driven coral bleaching for the Great Barrier Reef (GBR) and Torres Strait. All available relevant environmental observations of the recent bleaching events will be gathered to be more easily discoverable to researchers and managers via a gateway/summary webpage. The data will be used to assess how well the eReefs models are modelling the recent warming during bleaching events and then analyse the reasons behind the variations of bleaching response. 3D versions of remotely sensed bleaching products by NOAA and BoM will be produced and a seasonal prediction capability for marine heatwaves will be developed.


The research is structured in three main components:


1 – Summary of oceanographic conditions during the 2015-17 bleaching years


2 – Hydrodynamics of bleaching and improved predictions


3 – Improved seasonal predictions of marine heatwaves in the GBR





This project is funded by the National Environment Science Program's Tropical Water Quality Hub

Lineage

Maintenance and Update Frequency: asNeeded

Notes

Credit
This project is funded by the National Environment Science Program's Tropical Water Quality Hub

Modified: 11 09 2026

This dataset is part of a larger collection

Click to explore relationships graph

142.24052,-11.03775 143.60767,-14.46506 145.10502,-15.22 145.36542,-18.1498 147.96951,-20.0562 152.65686,-25.5139 154.87032,-24.15544 152.79454,-20.59933 147.56758,-17.35662 144.30181,-11.0208 142.17445,-11.01998 142.24052,-11.03775

148.52238652836,-18.266937796418

Subjects
oceans |

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Identifiers
  • global : 30f9677d-b086-4edc-8b76-01e318d3a3c3
ACN 633 798 857