Data

Masig (Yorke) Island Automated Marine Weather And Oceanographic Station

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=https://apps.aims.gov.au/metadata/view/5e211d53-549b-4162-b67c-9c05c1897a7b&rft.title=Masig (Yorke) Island Automated Marine Weather And Oceanographic Station&rft.identifier=https://apps.aims.gov.au/metadata/view/5e211d53-549b-4162-b67c-9c05c1897a7b&rft.publisher=Australian Institute of Marine Science (AIMS)&rft.description=This dataset contains meteorological and sea temperature data from the weather station located near Masig (Yorke) Island in the Torres Strait, installed under the Tropical Ecosystems hub of the National Environmental Research Program (NERP) and supported by the Torres Strait Regional Authority (TSRA). These data are collected to support scientific research within the Tropical Ecosystems hub of the National Environmental Research Program (NERP - see: http://www.environment.gov.au/biodiversity/science/nerp/ ) Theme 1, Program 2.3 (Torres Strait).Data are made available on request to other researchers and to the public. This weather station is funded under the Tropical Ecosystems hub of the National Environmental Research Program (NERP) in conjunction with the Torres Strait Regional Authority (TSRA). The weather station is an AIMS Mk5 system consisting of a Vaisala WXT520 weather station, a LiCor 192 Light Sensor and a number of in-water sensors including a SeaBird SBE37 CTD (Conductivity, Temperature and Depth) and SeaBird SBE39 (Temperature and Depth).Data recorded: Water Temperature (3m, 6.4 at MSL), Barometric Pressure, Air Temperature, Humidity, Solar Radiation (PAR), Wind Direction True (vector averaged), Wind Speed True (30 min average).The weather stations collect and store data in electronic memory every ten minutes, the station uses the 3G phone network to send the data to AIMS where it is stored in a database and then made available via the web and other systems. The data are then checked for accuracy using a number of range and historical checks, longer term summeries are then calculated along with indicies of potential thermal stress.Maintenance and Update Frequency: notPlannedStatement: Statement: Data from AIMS weather stations are subjected to two quality control processes. The 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:- Values frequently associated with sensors which are faulty, in need of a service or are not working properly.- Values outside believable ranges.- Values that are out of range compared to other nearby stations.The 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.Level 0: Raw unprocessed data as received from the AWS. This data has had no quality control process applied to it.Level 1: Level 1 data has had all suspect data points removed but no suspect data points are corrected.Level 2: Level 2 data has had all suspect data points that were removed in Level 1 corrected where possible.Data from all three levels can be accessed from the AIMS weather station web site.&rft.creator=Australian Institute of Marine Science (AIMS) &rft.date=2024&rft.coverage=westlimit=143.4; southlimit=-9.76; eastlimit=143.4; northlimit=-9.76&rft.coverage=westlimit=143.4; southlimit=-9.76; eastlimit=143.4; northlimit=-9.76&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: [Masig 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: [Masig Island]. https://doi.org/10.25845/5c09bf93f315d, accessed[date-of-access]".

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Brief description

This dataset contains meteorological and sea temperature data from the weather station located near Masig (Yorke) Island in the Torres Strait, installed under the Tropical Ecosystems hub of the National Environmental Research Program (NERP) and supported by the Torres Strait Regional Authority (TSRA). These data are collected to support scientific research within the Tropical Ecosystems hub of the National Environmental Research Program (NERP - see: http://www.environment.gov.au/biodiversity/science/nerp/ ) Theme 1, Program 2.3 (Torres Strait).Data are made available on request to other researchers and to the public. This weather station is funded under the Tropical Ecosystems hub of the National Environmental Research Program (NERP) in conjunction with the Torres Strait Regional Authority (TSRA). The weather station is an AIMS Mk5 system consisting of a Vaisala WXT520 weather station, a LiCor 192 Light Sensor and a number of in-water sensors including a SeaBird SBE37 CTD (Conductivity, Temperature and Depth) and SeaBird SBE39 (Temperature and Depth).Data recorded: Water Temperature (3m, 6.4 at MSL), Barometric Pressure, Air Temperature, Humidity, Solar Radiation (PAR), Wind Direction True (vector averaged), Wind Speed True (30 min average).The weather stations collect and store data in electronic memory every ten minutes, the station uses the 3G phone network to send the data to AIMS where it is stored in a database and then made available via the web and other systems. The data are then checked for accuracy using a number of range and historical checks, longer term summeries are then calculated along with indicies of potential thermal stress.

Lineage

Maintenance and Update Frequency: notPlanned
Statement: Statement: Data from AIMS weather stations are subjected to two quality control processes. The 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:- Values frequently associated with sensors which are faulty, in need of a service or are not working properly.- Values outside believable ranges.- Values that are out of range compared to other nearby stations.The 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.Level 0: Raw unprocessed data as received from the AWS. This data has had no quality control process applied to it.Level 1: Level 1 data has had all suspect data points removed but no suspect data points are corrected.Level 2: Level 2 data has had all suspect data points that were removed in Level 1 corrected where possible.Data from all three levels can be accessed from the AIMS weather station web site.

Notes

Credit
National Environment Research Program (NERP)
Credit
Torres Strait Regional Authority (TSRA)
Credit
Bainbridge, Scott, Mr (Custodian)

Modified: 09 08 2024

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143.4,-9.76

143.4,-9.76

text: westlimit=143.4; southlimit=-9.76; eastlimit=143.4; northlimit=-9.76

Subjects
oceans |

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Other Information
Data access via Programming API

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

NERP TE 2.3 Project website

uri : https://eatlas.org.au/nerp-te/gbr-aims-monitoring-torres-strait-coral-2-3

Link to NERP Tropical Ecosystems Hub Website

uri : http://www.nerptropical.edu.au/

Data access using R

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

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

Identifiers
  • global : 5e211d53-549b-4162-b67c-9c05c1897a7b
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