This dataset contains meteorological and light data from the weather station located on Saibai Island in the northern part of the Torres Strait. The station was installed under funding 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. This weather station is funded by 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.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).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.

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). These data are collected to support scientific research. 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). The weather station is an AIMS Mk5 system consisting of a Vaisala WXT520 weather station and a LiCor 192 Light Sensor. 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). 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.

This dataset contains meteorological and sea temperature data from the weather station attached to the Fantasea pontoon on Hardy Reef on the Great Barrier Reef. These data are collected to support scientific research at AIMS. Data are made available on request to other researchers and to the public. The weather station is an AIMS Mk3 SystemData recorded: Sea Temperature (2.5m and 9m at MSL), Barometric Pressure, Air Temperature, Solar Radiation (PAR), Wind Direction True (vector averaged), Wind Speed True (30 min average).This weather station has been deployed in three different locations on Hardy Reef.Location 1: -19.7340, 149.1808 from June 1989 to November 1993Location 2: -19.7358, 149.1808 from November 1993 to January 1996Location 3: -19.733, 149.167 from January 1996 to present.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 HF radio or telephone lines. The data is transmitted over the radio as a frequency shift keyed signal, organised as packets of information. Errors are detected using parity and check sum methods. Invalid packets are identified by the Base Station, which requests they be sent again. This concept allows recovery of a very high percentage of the data despite poor communications. 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 following are chosen considering the cost, reliability and accuracy. R.M.Young manufactures the wind sensor, a model number 05103. It is a propeller type with the advantages of being highly linear, highly interchangeable and having a low threshold. Wind direction is measured as the direction the wind is coming from. The solar radiation sensor is an Under Water Quantum Sensor made by Licor. It measures light in terms of its "Photosynthetically Active Radiation" (PAR). The spectral response is defined and weighted. Drift due to aging of the filters has proven to be a problem, but this applies to similar units too. Temperature sensors are all Omega Interchangeable Thermistors. These are interchangeable and have high accuracy, but reliability has proven a problem. We are considering alternatives. The barometric sensor was a modified Aanderaa type on earlier stations. The Mk2 stations were fitted with a Weathertronics Unit. Now all stations are Mk3 stations fitted with a Vaisala barometer which is more interchangeable and more accurate.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.The following are the specifications of the sensors used with Mk3 stations. A new sensor suite will be used with Mk5 stations, partly based on the Vaisala WXT510 weather sensor.Both the temperature and wind sensors are interchangeable, and not individually calibrated, though some individual sensors have been checked against standards. Air Temperature: Interchangeable thermistor and electronics is within +/- 0.4 deg. C, with a 30 seconds settling time in air. There are additional errors due to the aspiration of the temperature screen at low wind speeds. Water temperature: Interchangeable thermistor and electronics is within +/- 0.4 deg. C, with a 30 minutes settling time in water. A higher precision in situ calibration is normally used (around +/- 0.1 degrees), traceable to a 0.04 degrees standard. Solar radiation (PAR): +/- 5% of reading. Sensor drift is approximately -4% per year initially. Barometric pressure: +/- 1 hecto Pascal. Wind speed: 2% of reading +/- 0.1% FSD. Wind direction: 2% of reading +/- 0.1% FSD.Electrical settling time for solar radiation and wind parameters is 7 seconds. This is necessary for anti-aliasing filters. Mk1 and Mk2 stations

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.

This dataset contains historical meteorological data from the weather station, which was located north of the Daintree River in North Queensland, between 12 February 1997 and 31 May 1998.Data recorded: Barometric Pressure, Air Temperature, Solar Radiation (PAR), Wind Direction True (vector averaged), Wind Speed True (30 min average), Humidity, Rainfall. These data were collected to support scientific research at AIMS. Data are made available on request to other researchers and to the public. The weather station was an AIMS Mk3 System1. 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 HF radio or telephone lines. The data is transmitted over the radio as a frequency shift keyed signal, organised as packets of information. Errors are detected using parity and check sum methods. Invalid packets are identified by the Base Station, which requests they be sent again. This concept allows recovery of a very high percentage of the data despite poor communications. 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 following are chosen considering the cost, reliability and accuracy. R.M.Young manufactures the wind sensor, a model number 05103. It is a propeller type with the advantages of being highly linear, highly interchangeable and having a low threshold. Wind direction is measured as the direction the wind is coming from. The solar radiation sensor is an Under Water Quantum Sensor made by Licor. It measures light in terms of its "Photosynthetically Active Radiation" (PAR). The spectral response is defined and weighted. Drift due to aging of the filters has proven to be a problem, but this applies to similar units too. Temperature sensors are all Omega Interchangeable Thermistors. These are interchangeable and have high accuracy, but reliability has proven a problem. We are considering alternatives. The barometric sensor was a modified Aanderaa type on earlier stations. The Mk2 stations were fitted with a Weathertronics Unit. Now all stations are Mk3 stations fitted with a Vaisala barometer which is more interchangeable and more accurate.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.The following are the specifications of the sensors used with Mk3 stations. A new sensor suite will be used with Mk5 stations, partly based on the Vaisala WXT510 weather sensor.Both the temperature and wind sensors are interchangeable, and not individually calibrated, though some individual sensors have been checked against standards. Air Temperature: Interchangeable thermistor and electronics is within +/- 0.4 deg. C, with a 30 seconds settling time in air. There are additional errors due to the aspiration of the temperature screen at low wind speeds. Solar radiation (PAR): +/- 5% of reading. Sensor drift is approximately -4% per year initially. Barometric pressure: +/- 1 hecto Pascal. Wind speed: 2% of reading +/- 0.1% FSD. Wind direction: 2% of reading +/- 0.1% FSD.Electrical settling time for solar radiation and wind parameters is 7 seconds. This is necessary for anti-aliasing filters. Mk1 and Mk2 stations averaged 16 samples over the 16 seconds before logging. Mk3 stations use a continuously averaging software system. The wind readings are vector averaged, so direction is accounted for properly.Calibration procedures and routines are detailed on the Engineering website.3. Wind Sensor SpecificationThe following are additional specifications of the wind sensors used with Mk3 stations. A new sensor will be used with Mk5 stations. Wind sensors are mounted at a nominal 10 meters above water. The R.M. Young

This dataset contains meteorological and sea temperature data collected from the weather station, which was moored on John Brewer Reef on the Great Barrier Reef for the period from 31 July 1987 to 30 May 1988. The system used automatic relaying of data in "real time" mode.Data Recorded: Sea Temperature, Sea Surface Temperature, Atmospheric Pressure, Air Temperature, Solar Radiation, Wind Direction True, Wind Speed True. These data are collected to support scientific research at AIMS. Data are made available on request to other researchers and to the public. The weather station was an AIMS Mk2 System.

This dataset contains meteorological and sea temperature data from the weather station moored on Myrmidon Reef on the Great Barrier Reef. These data are collected to support scientific research at AIMS. Data are made available on request to other researchers and to the public. The weather station is an AIMS Mk3 System.Data recorded: Sea Temperature (~2m, ~4m, ~7m and ~18m at MSL), Barometric Pressure, Air Temperature, Solar Radiation (PAR), Wind Direction True (vector averaged), Wind Speed True (30 min average).This weather station has been deployed in two different locations on Myrmidon Reef.Location 1: -18.2746, 147.3830 from 1987 until June 1999Location 2: -18.267, 147.367 from June 1999 to present.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 HF radio or telephone lines. The data is transmitted over the radio as a frequency shift keyed signal, organised as packets of information. Errors are detected using parity and check sum methods. Invalid packets are identified by the Base Station, which requests they be sent again. This concept allows recovery of a very high percentage of the data despite poor communications. 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 following are chosen considering the cost, reliability and accuracy. R.M.Young manufactures the wind sensor, a model number 05103. It is a propeller type with the advantages of being highly linear, highly interchangeable and having a low threshold. Wind direction is measured as the direction the wind is coming from. The solar radiation sensor is an Under Water Quantum Sensor made by Licor. It measures light in terms of its "Photosynthetically Active Radiation" (PAR). The spectral response is defined and weighted. Drift due to aging of the filters has proven to be a problem, but this applies to similar units too. Temperature sensors are all Omega Interchangeable Thermistors. These are interchangeable and have high accuracy, but reliability has proven a problem. We are considering alternatives. The barometric sensor was a modified Aanderaa type on earlier stations. The Mk2 stations were fitted with a Weathertronics Unit. Now all stations are Mk3 stations fitted with a Vaisala barometer which is more interchangeable and more accurate.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.The following are the specifications of the sensors used with Mk3 stations. A new sensor suite will be used with Mk5 stations, partly based on the Vaisala WXT510 weather sensor.Both the temperature and wind sensors are interchangeable, and not individually calibrated, though some individual sensors have been checked against standards. Air Temperature: Interchangeable thermistor and electronics is within +/- 0.4 deg. C, with a 30 seconds settling time in air. There are additional errors due to the aspiration of the temperature screen at low wind speeds. Water temperature: Interchangeable thermistor and electronics is within +/- 0.4 deg. C, with a 30 minutes settling time in water. A higher precision in situ calibration is normally used (around +/- 0.1 degrees), traceable to a 0.04 degrees standard. Solar radiation (PAR): +/- 5% of reading. Sensor drift is approximately -4% per year initially. Barometric pressure: +/- 1 hecto Pascal. Wind speed: 2% of reading +/- 0.1% FSD. Wind direction: 2% of reading +/- 0.1% FSD.Electrical settling time for solar radiation and wind parameters is 7 seconds. This is necessary for anti-aliasing filters. Mk1 and Mk2 stations averaged 16 samples over the 16 seconds before logging. Mk3 stations use a

This dataset contains meteorological data from Agincourt Reef, Great Barrier Reef, from November 1989 with breaks. The weather station is located on Quicksilver's northern pontoon. These data are collected to support scientific research at AIMS. Data are made available on request to other researchers and to the public. The weather station is an AIMS Mk3 System.Data recorded: Sea Temperature (1m and 10m at MSL), Barometric Pressure, Air Temperature, Solar Radiation (PAR), Wind Direction True (vector averaged), Wind Speed True (30 min average).This weather station has been deployed in three different locations on Agincourt Reef.Location 1: -15.9617, 145.8225 from November 1989 to 1996Location 2: -16.0381, 145.8325 from 1996 to October 2000Location 3: -16.033, 145.817 from October 2000 to present.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 HF radio or telephone lines. The data is transmitted over the radio as a frequency shift keyed signal, organised as packets of information. Errors are detected using parity and check sum methods. Invalid packets are identified by the Base Station, which requests they be sent again. This concept allows recovery of a very high percentage of the data despite poor communications. 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 following are chosen considering the cost, reliability and accuracy. R.M.Young manufactures the wind sensor, a model number 05103. It is a propeller type with the advantages of being highly linear, highly interchangeable and having a low threshold. Wind direction is measured as the direction the wind is coming from. The solar radiation sensor is an Under Water Quantum Sensor made by Licor. It measures light in terms of its "Photosynthetically Active Radiation" (PAR). The spectral response is defined and weighted. Drift due to aging of the filters has proven to be a problem, but this applies to similar units too. Temperature sensors are all Omega Interchangeable Thermistors. These are interchangeable and have high accuracy, but reliability has proven a problem. We are considering alternatives. The barometric sensor was a modified Aanderaa type on earlier stations. The Mk2 stations were fitted with a Weathertronics Unit. Now all stations are Mk3 stations fitted with a Vaisala barometer which is more interchangeable and more accurate.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.The following are the specifications of the sensors used with Mk3 stations. A new sensor suite will be used with Mk5 stations, partly based on the Vaisala WXT510 weather sensor.Both the temperature and wind sensors are interchangeable, and not individually calibrated, though some individual sensors have been checked against standards. Air Temperature: Interchangeable thermistor and electronics is within +/- 0.4 deg. C, with a 30 seconds settling time in air. There are additional errors due to the aspiration of the temperature screen at low wind speeds. Water temperature: Interchangeable thermistor and electronics is within +/- 0.4 deg. C, with a 30 minutes settling time in water. A higher precision in situ calibration is normally used (around +/- 0.1 degrees), traceable to a 0.04 degrees standard. Solar radiation (PAR): +/- 5% of reading. Sensor drift is approximately -4% per year initially. Barometric pressure: +/- 1 hecto Pascal. Wind speed: 2% of reading +/- 0.1% FSD. Wind direction: 2% of reading +/- 0.1% FSD.Electrical settling time for solar radiation and wind parameters is 7 seconds. This is necessary for anti-aliasing filters. Mk1 and Mk2

This dataset contains meteorological data from Agincourt Reef, Great Barrier Reef, from November 1989 with breaks. The weather station is located on Quicksilver's northern pontoon. These data are collected to support scientific research at AIMS. Data are made available on request to other researchers and to the public. The weather station is an AIMS Mk3 System.Data recorded: Sea Temperature (1m and 10m at MSL), Barometric Pressure, Air Temperature, Solar Radiation (PAR), Wind Direction True (vector averaged), Wind Speed True (30 min average).This weather station has been deployed in three different locations on Agincourt Reef.Location 1: -15.9617, 145.8225 from November 1989 to 1996Location 2: -16.0381, 145.8325 from 1996 to October 2000Location 3: -16.033, 145.817 from October 2000 to present.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 HF radio or telephone lines. The data is transmitted over the radio as a frequency shift keyed signal, organised as packets of information. Errors are detected using parity and check sum methods. Invalid packets are identified by the Base Station, which requests they be sent again. This concept allows recovery of a very high percentage of the data despite poor communications. 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 following are chosen considering the cost, reliability and accuracy. R.M.Young manufactures the wind sensor, a model number 05103. It is a propeller type with the advantages of being highly linear, highly interchangeable and having a low threshold. Wind direction is measured as the direction the wind is coming from. The solar radiation sensor is an Under Water Quantum Sensor made by Licor. It measures light in terms of its "Photosynthetically Active Radiation" (PAR). The spectral response is defined and weighted. Drift due to aging of the filters has proven to be a problem, but this applies to similar units too. Temperature sensors are all Omega Interchangeable Thermistors. These are interchangeable and have high accuracy, but reliability has proven a problem. We are considering alternatives. The barometric sensor was a modified Aanderaa type on earlier stations. The Mk2 stations were fitted with a Weathertronics Unit. Now all stations are Mk3 stations fitted with a Vaisala barometer which is more interchangeable and more accurate.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.The following are the specifications of the sensors used with Mk3 stations. A new sensor suite will be used with Mk5 stations, partly based on the Vaisala WXT510 weather sensor.Both the temperature and wind sensors are interchangeable, and not individually calibrated, though some individual sensors have been checked against standards. Air Temperature: Interchangeable thermistor and electronics is within +/- 0.4 deg. C, with a 30 seconds settling time in air. There are additional errors due to the aspiration of the temperature screen at low wind speeds. Water temperature: Interchangeable thermistor and electronics is within +/- 0.4 deg. C, with a 30 minutes settling time in water. A higher precision in situ calibration is normally used (around +/- 0.1 degrees), traceable to a 0.04 degrees standard. Solar radiation (PAR): +/- 5% of reading. Sensor drift is approximately -4% per year initially. Barometric pressure: +/- 1 hecto Pascal. Wind speed: 2% of reading +/- 0.1% FSD. Wind direction: 2% of reading +/- 0.1% FSD.Electrical settling time for solar radiation and wind parameters is 7 seconds. This is necessary for anti-aliasing filters. Mk1 and Mk2

This data set was collected by one or more temperature loggers deployed around the site of Bramble Cay.