Data

Thursday Island Hail From 08 Feb 2012

Australian Ocean Data Network
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://catalogue-aodn.prod.aodn.org.au/geonetwork/srv/eng/search?uuid=fe098e85-95ac-4e62-baa8-a9b4b641e7b7&rft.title=Thursday Island Hail From 08 Feb 2012&rft.identifier=http://catalogue-aodn.prod.aodn.org.au/geonetwork/srv/eng/search?uuid=fe098e85-95ac-4e62-baa8-a9b4b641e7b7&rft.publisher=Australian Institute of Marine Science (AIMS)&rft.description=This data set was collected by weather sensors deployed on the NERP Weather Station site Thursday Island.\nMaintenance and Update Frequency: asNeededStatement: Data from AIMS weather stations are subjected to two quality control processes. \nThe first quality control process involves applying automatic rules to the raw data to flag data points that are unlikely to be correct. These rules flag: \n- Values frequently associated with sensors which are faulty, in need of a service or are not working properly. \n- Values outside believable ranges. \n- Values that are out of range compared to other nearby stations. \nThe second quality control process involves manual visualisation of all data. Data from all sensors are individually graphed and compared to sensors on the same station (e.g. water temperature 1 and water temperature 2), calibrated temperature loggers, predicted values (e.g. PAR) or compared to sensors from nearby stations (including Bureau of Meteorology stations in the case of barometric pressure, wind speed and direction). After these processes have been applied the data can be categorised in the following three levels. \nLevel 0: Raw unprocessed data as received from the AWS. This data has had no quality control process applied to it. \nLevel 1: Level 1 data has had all suspect data points removed but no suspect data points are corrected. \nLevel 2: Level 2 data has had all suspect data points that were removed in Level 1 corrected where possible. \nData from all three levels can be accessed from the AIMS weather station web site.\n&rft.creator=Australian Institute of Marine Science (AIMS) &rft.date=2023&rft.coverage=westlimit=142.253283; southlimit=-10.555291; eastlimit=142.253283; northlimit=-10.555291&rft.coverage=westlimit=142.253283; southlimit=-10.555291; eastlimit=142.253283; northlimit=-10.555291&rft.coverage=westlimit=142.220517; southlimit=-10.595231; eastlimit=142.220517; northlimit=-10.595231&rft.coverage=westlimit=142.220517; southlimit=-10.595231; eastlimit=142.220517; northlimit=-10.595231&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: [Thursday Island], Parameters: [hail]. 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&rft_subject=oceans&rft_subject=Hail accumulation since 9am&rft_subject=Hail duration in the atmosphere&rft_subject=Hail intensity in the atmosphere&rft.type=dataset&rft.language=English Access the data

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

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WWW:LINK-1.0-http--related

License Graphic

Creative Commons Attribution 3.0 Australia License

http://creativecommons.org/international/au/

WWW:LINK-1.0-http--related

WWW:LINK-1.0-http--related

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: [Thursday Island], Parameters: [hail]. https://doi.org/10.25845/5c09bf93f315d, accessed[date-of-access]".

Access:

Open

Contact Information

adc@aims.gov.au

Brief description

This data set was collected by weather sensors deployed on the NERP Weather Station site Thursday Island.\n

Lineage

Maintenance and Update Frequency: asNeeded
Statement: Data from AIMS weather stations are subjected to two quality control processes. \nThe first quality control process involves applying automatic rules to the raw data to flag data points that are unlikely to be correct. These rules flag: \n- Values frequently associated with sensors which are faulty, in need of a service or are not working properly. \n- Values outside believable ranges. \n- Values that are out of range compared to other nearby stations. \nThe second quality control process involves manual visualisation of all data. Data from all sensors are individually graphed and compared to sensors on the same station (e.g. water temperature 1 and water temperature 2), calibrated temperature loggers, predicted values (e.g. PAR) or compared to sensors from nearby stations (including Bureau of Meteorology stations in the case of barometric pressure, wind speed and direction). After these processes have been applied the data can be categorised in the following three levels. \nLevel 0: Raw unprocessed data as received from the AWS. This data has had no quality control process applied to it. \nLevel 1: Level 1 data has had all suspect data points removed but no suspect data points are corrected. \nLevel 2: Level 2 data has had all suspect data points that were removed in Level 1 corrected where possible. \nData from all three levels can be accessed from the AIMS weather station web site.\n

Notes

Credit
Australian Institute of Marine Science (AIMS)
Credit
Tropical Ecosystems hub of the National Environmental Research Program (NERP)
Credit
Torres Strait Regional Authority (TSRA)
Credit
Torres Strait Regional Authority

Modified: 15 01 2023

This dataset is part of a larger collection

Click to explore relationships graph

142.25328,-10.55529

142.253283,-10.555291

142.22052,-10.59523

142.220517,-10.595231

Subjects

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Identifiers
  • global : fe098e85-95ac-4e62-baa8-a9b4b641e7b7