Data

Heron Island Automated Marine Weather And Oceanographic Station

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=http://geo.aims.gov.au/geonetwork/geonetwork/srv/eng/search?uuid=aefce70d-0ca2-494a-a8f9-47499e2c7f6e&rft.title=Heron Island Automated Marine Weather And Oceanographic Station&rft.identifier=http://geo.aims.gov.au/geonetwork/geonetwork/srv/eng/search?uuid=aefce70d-0ca2-494a-a8f9-47499e2c7f6e&rft.publisher=Australian Institute of Marine Science (AIMS)&rft.description=Sensor network infrastructure was installed at Heron Island in the southern Great Barrier Reef off Gladstone, Australia. The infrastructure consists of a base station mounted on the existing communications tower, a number of network relay poles installed in the lagoon and a number of buoys which carry the actual sensors. The initial design is to monitor the flow of water through the lagoon which is often 'ponded' due to the high coral rim to the lagoon, this creates complex in and out flows and flushing of the lagoon system. The deployment in August 2008 consisted of the base station using the Telstra nextG service, six 6m relay poles located in the lagoon and five sensor floats also located in the lagoon. The poles carry one bottom thermistor, the floats currently have surface thermistors only. Additional instrumentation will be added by the end of 2008. The project looks to deploy sensor networks at seven sites along the Great Barrier Reef to measure a range of physical parameters at a range of scales. The project will install communications, data and platform infrastructure that will support future sensor work looking at biological and chemical parameters. This project is part of the Wireless Sensor Networks Facility (formerly known as Facility for The Automated Intelligent Monitoring of Marine Systems (FAIMMS)), part of the Great Barrier Reef Ocean Observing System project (GBROOS) (IMOS)Maintenance and Update Frequency: continualStatement: Statement: All sensors are factory calibrated and serviced every six months.Statement: Data are checked against a set of rules and then flagged using the IODE set of flags.&rft.creator=Australian Institute of Marine Science (AIMS) &rft.date=2024&rft.coverage=westlimit=151.895; southlimit=-23.477; eastlimit=152.005; northlimit=-23.425&rft.coverage=westlimit=151.895; southlimit=-23.477; eastlimit=152.005; northlimit=-23.425&rft_rights= http://creativecommons.org/licenses/by/3.0/au/&rft_rights=http://i.creativecommons.org/l/by/3.0/au/88x31.png&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Graphic&rft_rights=Creative Commons Attribution 3.0 Australia License&rft_rights=http://creativecommons.org/international/au/&rft_rights=WWW:LINK-1.0-http--related&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Text&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). (2020). Northern Australia Automated Marine Weather and Oceanographic Stations, Sites: [Heron Island]. https://doi.org/10.25845/5c09bf93f315d, accessed[date-of-access].&rft_rights=Creative Commons Attribution 3.0 Australia License http://creativecommons.org/licenses/by/3.0/au&rft_subject=oceans&rft.type=dataset&rft.language=English Access the data

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License Text

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). (2020). Northern Australia Automated Marine Weather and Oceanographic Stations, Sites: [Heron Island]. https://doi.org/10.25845/5c09bf93f315d, accessed[date-of-access]".

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Other

Contact Information

reception@aims.gov.au
adc@aims.gov.au

Brief description

Sensor network infrastructure was installed at Heron Island in the southern Great Barrier Reef off Gladstone, Australia. The infrastructure consists of a base station mounted on the existing communications tower, a number of network relay poles installed in the lagoon and a number of buoys which carry the actual sensors.

The initial design is to monitor the flow of water through the lagoon which is often 'ponded' due to the high coral rim to the lagoon, this creates complex in and out flows and flushing of the lagoon system.

The deployment in August 2008 consisted of the base station using the Telstra nextG service, six 6m relay poles located in the lagoon and five sensor floats also located in the lagoon. The poles carry one bottom thermistor, the floats currently have surface thermistors only. Additional instrumentation will be added by the end of 2008.


The project looks to deploy sensor networks at seven sites along the Great Barrier Reef to measure a range of physical parameters at a range of scales. The project will install communications, data and platform infrastructure that will support future sensor work looking at biological and chemical parameters.


This project is part of the Wireless Sensor Networks Facility (formerly known as Facility for The Automated Intelligent Monitoring of Marine Systems (FAIMMS)), part of the Great Barrier Reef Ocean Observing System project (GBROOS) (IMOS)

Lineage

Maintenance and Update Frequency: continual
Statement: Statement: All sensors are factory calibrated and serviced every six months.Statement: Data are checked against a set of rules and then flagged using the IODE set of flags.

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
Wireless Sensor Networks Facility, part of the Great Barrier Reef Ocean Observing System project (GBROOS) (IMOS)
Credit
Australian Institute of Marine Science (AIMS)

Modified: 13 03 2024

This dataset is part of a larger collection

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152.005,-23.425 152.005,-23.477 151.895,-23.477 151.895,-23.425 152.005,-23.425

151.95,-23.451

text: westlimit=151.895; southlimit=-23.477; eastlimit=152.005; northlimit=-23.425

Subjects
oceans |

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Other Information
Marine Weather Observations for Heron Island

uri : https://weather.aims.gov.au/#/station/130

Data access via Programming API

uri : https://open-aims.github.io/data-platform/

Data access using R

uri : https://docs.ropensci.org/dataaimsr/

global : 0887cb5b-b443-4e08-a169-038208109466

Identifiers
  • global : aefce70d-0ca2-494a-a8f9-47499e2c7f6e