Dataset

Badu 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=Badu 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 light data from the weather station located on Badu Island in the Central / Western part of the Torres Strait. The station was installed under funding from the Torres Strait Regional Authority (TSRA).\n These data are collected to support scientific research. \n Data are made available on request to other researchers and to the public. This weather station is funded by the Torres Strait Regional Authority (TSRA).\n The weather station is an AIMS Mk5 system consisting of a Vaisala WXT520 weather station and a LiCor 192 Light Sensor. \n \n Note that this station is located on land and has NO in-water sensors. \n \n Data recorded: Barometric Pressure, Air Temperature, Humidity, Solar Radiation (PAR), Wind Direction True (vector averaged), Wind Speed True (30 min average). \n \n 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. \n \n 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.\nStatement: Data from AIMS weather stations are subjected to two quality control processes. \n \n 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: \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 \n 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). \n \n After these processes have been applied the data can be categorised in the following three levels. \n \n Level 0: Raw unprocessed data as received from the AWS. This data has had no quality control process applied to it. \n \n Level 1: Level 1 data has had all suspect data points removed but no suspect data points are corrected. \n \n Level 2: Level 2 data has had all suspect data points that were removed in Level 1 corrected where possible. \n \n Data 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=2019&rft.coverage=northlimit=-10.149704630157961; southlimit=-10.149704630157961; westlimit=142.16068267822268; eastLimit=142.16068267822268&rft.coverage=northlimit=-10.149704630157961; southlimit=-10.149704630157961; westlimit=142.16068267822268; eastLimit=142.16068267822268&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). (2019). Northern Australia Automated Marine Weather and Oceanographic Stations, Sites: [Badu 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). (2019). Northern Australia Automated Marine Weather and Oceanographic Stations, Sites: [Badu Island]. https://doi.org/10.25845/5c09bf93f315d, accessed[date-of-access]".

Access:

Open

Contact Information



Brief description

This dataset contains meteorological and light data from the weather station located on Badu Island in the Central / Western part of the Torres Strait. The station was installed under funding from the Torres Strait Regional Authority (TSRA).\n These data are collected to support scientific research. \n Data are made available on request to other researchers and to the public. This weather station is funded by the Torres Strait Regional Authority (TSRA).\n The weather station is an AIMS Mk5 system consisting of a Vaisala WXT520 weather station and a LiCor 192 Light Sensor. \n \n Note that this station is located on land and has NO in-water sensors. \n \n Data recorded: Barometric Pressure, Air Temperature, Humidity, Solar Radiation (PAR), Wind Direction True (vector averaged), Wind Speed True (30 min average). \n \n 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. \n \n 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.\n

Notes

Bainbridge, Scott, Mr (Custodian)
Australian Institute of Marine Science (AIMS), Australia.
Torres Strait Regional Authority (TSRA), Australia

Lineage

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

Modified: 20200430

Data time period: 2016-05-01

This dataset is part of a larger collection

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142.16068267822,-10.149704630158

142.16068267822,-10.149704630158

text: northlimit=-10.149704630157961; southlimit=-10.149704630157961; westlimit=142.16068267822268; eastLimit=142.16068267822268

Subjects
oceans |

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