Dataset

Masig (Yorke) Island Automated Marine Weather And Oceanographic Station

Australian Institute of Marine Science
509 linked Records:
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=info:doi10.25845/5c09bf93f315d&rft.title=Masig (Yorke) Island Automated Marine Weather And Oceanographic Station&rft.identifier=https://doi.org/10.25845/5c09bf93f315d&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).\n 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). \n \nData 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).\n 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). \n \nData 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). \n \nThe 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. \n \nThe 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.\nStatement: Data from AIMS weather stations are subjected to two quality control processes. \n \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. \n \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). \n \nAfter these processes have been applied the data can be categorised in the following three levels. \n \nLevel 0: Raw unprocessed data as received from the AWS. This data has had no quality control process applied to it. \n \nLevel 1: Level 1 data has had all suspect data points removed but no suspect data points are corrected. \n \nLevel 2: Level 2 data has had all suspect data points that were removed in Level 1 corrected where possible. \n \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=2013&rft.coverage=northlimit=-9.76; southlimit=-9.76; westlimit=143.4; eastLimit=143.4&rft.coverage=northlimit=-9.76; southlimit=-9.76; westlimit=143.4; eastLimit=143.4&rft_rights=Attribution 3.0 Australia http://creativecommons.org/licenses/by/3.0/au/&rft_rights=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). (2013). Northern Australia Automated Marine Weather and Oceanographic Stations, Sites: [Masig (Yorke) Island]. https://doi.org/10.25845/5c09bf93f315d, accessed[date-of-access].&rft_subject=oceans&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY

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

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). (2013). Northern Australia Automated Marine Weather and Oceanographic Stations, Sites: [Masig (Yorke) Island]. https://doi.org/10.25845/5c09bf93f315d, accessed[date-of-access]".

Access:

Open

Contact Information



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).\n 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). \n \nData 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).\n 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). \n \nData 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). \n \nThe 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. \n \nThe 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.\n

Notes

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

Lineage

Statement: Data from AIMS weather stations are subjected to two quality control processes. \n \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. \n \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). \n \nAfter these processes have been applied the data can be categorised in the following three levels. \n \nLevel 0: Raw unprocessed data as received from the AWS. This data has had no quality control process applied to it. \n \nLevel 1: Level 1 data has had all suspect data points removed but no suspect data points are corrected. \n \nLevel 2: Level 2 data has had all suspect data points that were removed in Level 1 corrected where possible. \n \nData from all three levels can be accessed from the AIMS weather station web site. \n

Modified: 20200430

Data time period: 2012-02-06 to 2019-01-31

This dataset is part of a larger collection

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143.4,-9.76

143.4,-9.76

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

Subjects
oceans |

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