Raine Island Automated Marine Weather And Oceanographic Station

Brief description

This dataset contains meteorological data from Raine Island, Great Barrier Reef, from August 2012. The weather station is located on the Raine Island tower under a project with the Queensland Department of Environment and Resource Management (DERM). These data are collected to support scientific research at AIMS and DERM, data are part of a study into the breeding success of turtles on Raine Island. Data are made available on request to other researchers and to the public. The weather station is an AIMS Mk5 System.Data recorded: Barometric Pressure, Air Temperature, Wind Direction True (vector averaged), Wind Speed True (30 min average) and Humidity using a Vaisala WXT-520 weather station.Addditional data collected includes ground water levels and temperatures using bore-hole sensors along with video and still cameras to record turtle movements.1. Operation and Weather SensorsThe weather stations collect and store data in electronic memory every half-hour. A central base station calls each remote station regularly using a satellite link. Remote stations store data for 21 days. Features such as automatic operation, remote control, remote time setting, built in diagnostics, have been developed and incorporated.The sensors are a key part of a weather station. The station uses a Vaisala WXT520 weather station with additional sealing.2. System AccuracySystem accuracy is calculated as the sum of errors caused by: * Calibration * Interchanging sensors * Drift with time * Effects of an ambient temperature range from 0-40 degrees C.

Lineage

Maintenance and Update Frequency: continual

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
Bainbridge, Scott, Mr (Custodian)