Data

Bramble Cay 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=2fdf37c3-7937-4eac-b31b-2efb88e42c4d&rft.title=Bramble Cay Automated Marine Weather And Oceanographic Station&rft.identifier=http://geo.aims.gov.au/geonetwork/geonetwork/srv/eng/search?uuid=2fdf37c3-7937-4eac-b31b-2efb88e42c4d&rft.publisher=Australian Institute of Marine Science (AIMS)&rft.description=This dataset contains meteorological and light data from the weather station located on Bramble Cay in the northern part of the Torres Strait. The station was installed under funding from the National Environmental Science Programme (NESP) Tropical Water Quality Hub under Projects 2.2.1 and Project 5.14 with support from the Torres Strait Regional Authority (TSRA).\n These data are collected to support scientific research. Data are made available on request to other researchers and to the public as well as being available from the AIMS web site. This weather station is funded by NESP with support from 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. The system has seperate underwater sensors that are logged (and so not transmitted in real time). These sensors include a WetLabs NTUS turbidity sensor and a SeaBird SBE37 CDT (Condutivity (salinity), Temperature and Depth) located just off the Cay in 3m of water. \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), rain duration and rate, precipitation amount. \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.\nData 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=2022&rft.coverage=northlimit=-9.24512582900137; southlimit=-9.24512582900137; westlimit=143.96141052246097; eastLimit=143.96141052246097&rft.coverage=northlimit=-9.24512582900137; southlimit=-9.24512582900137; westlimit=143.96141052246097; eastLimit=143.96141052246097&rft_rights=Creative Commons Attribution 3.0 Australia License http://creativecommons.org/licenses/by/3.0&rft_subject=oceans&rft_subject=Turbidity of the water body&rft_subject=Temperature of the water body&rft_subject=Pressure (measured variable) exerted by the atmosphere&rft_subject=Precipitation duration (liquid water equivalent) in the atmosphere&rft_subject=Wind from direction in the atmosphere&rft_subject=Wind speed in the atmosphere&rft_subject=Thickness of precipitation amount (liquid water equivalent) in the atmosphere&rft_subject=Relative humidity of the atmosphere&rft_subject=Temperature of the atmosphere&rft_subject=Precipitation rate (liquid water equivalent) in the atmosphere&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY

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

Access:

Other

Contact Information

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

Brief description

This dataset contains meteorological and light data from the weather station located on Bramble Cay in the northern part of the Torres Strait. The station was installed under funding from the National Environmental Science Programme (NESP) Tropical Water Quality Hub under Projects 2.2.1 and Project 5.14 with support from the Torres Strait Regional Authority (TSRA).\n These data are collected to support scientific research. Data are made available on request to other researchers and to the public as well as being available from the AIMS web site. This weather station is funded by NESP with support from 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. The system has seperate underwater sensors that are logged (and so not transmitted in real time). These sensors include a WetLabs NTUS turbidity sensor and a SeaBird SBE37 CDT (Condutivity (salinity), Temperature and Depth) located just off the Cay in 3m of water. \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), rain duration and rate, precipitation amount. \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

Lineage

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

Notes

Credit
National Environmental Science Programme (NESP) Tropical Water Quality Hub
Credit
Bainbridge, Scott, Mr (Custodian)
Credit
Torres Strait Regional Authority (TSRA)

Modified: 10 08 2022

Click to explore relationships graph

143.96141052246,-9.2451258290014

143.96141052246,-9.2451258290014

text: northlimit=-9.24512582900137; southlimit=-9.24512582900137; westlimit=143.96141052246097; eastLimit=143.96141052246097

Other Information
Data access via AODN Portal

uri : https://portal.aodn.org.au/search

URI : https://portal.aodn.org.au/search?uuid=0887cb5b-b443-4e08-a169-038208109466

Marine Weather Observations for Bramble Cay

uri : http://weather.aims.gov.au/#/station/2381

Nesp 2.2.1 project page

uri : https://eatlas.org.au/nesp-twq-2/ts-water-quality-2-2-1

Nesp 5.14 project page

uri : https://eatlas.org.au/nesp-twq-5/ts-water-quality-5.14

Link to the TSRA website

uri : http://www.tsra.gov.au/

Data access via Programming API

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

Data access using R

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

NESP Tropical Water Hub project website

uri : https://nesptropical.edu.au/index.php/round-5-projects/project-5-14/

Identifiers
  • global : 2fdf37c3-7937-4eac-b31b-2efb88e42c4d