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).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).
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.
Note that this station is located on land and has NO in-water sensors.
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.
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: continuallyThe 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
CreditBainbridge, Scott, Mr
National Environmental Science Programme (NESP) Tropical Water Quality Hub
Torres Strait Regional Authority (TSRA)
Modified: 13 03 2024
text: westlimit=143.96141052246097; southlimit=-9.24512582900137; eastlimit=143.96141052246097; northlimit=-9.24512582900137
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Marine Weather Observations for Bramble Cay
uri :
https://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 :
https://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/
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