The dashboard set comprises individual web pages for each sensor/location. Each dashboard includes a map showing the location of the station, basic statistics and time series plots. If enough data is available (more than 10 years), a climatology of the temperature record is calculated. The SSTAARS climatology is also plotted along the sensor data. Hourly time series plots are also available at each instrument’s depth.

See "Interactive map of this dataset" resource link below for a navigation map to the dashboard web pages.

This comprehensive quality-controlled data set is to assist the delivery of the data to better characterise thermal stress events on the GBR to users.

The primary data set is temperature from over 100 permanent temperature logger locations within the reef from the AIMS temperature logger program and other platforms, which include both mobile gliders and drifting buoys to permanent weather stations and moorings. Summary plots of the data can be interrogated and daily climatologies are provided so users can quickly determine the thermal history at each site. Other relevant data sets are provided from multiple observing platforms with a summary plot. Some data sets have well developed websites and so a link to those sites and data sources are also provided for these.

Methods:

For each sensor, in reef temperature loggers, mooring instruments, AIMS weather stations and QLD wave buoys, the data is extracted for 2015, 2016 and 2017. The records are aggregated into hourly intervals and the climatology extracted from the full record (when more than 10 years of data exist), as the mean of daily average for each day of the year. Basic statistics for 2016 and 2017 are calculated and the heat accumulation indicators (NOAA’s degree-heating week, and the maximum monthly mean) extracted for the site and the year. In a second tab, the time series of each location is plotted. Many of the elements of the dashboard are dynamic, so the user can zoom in/out or print sections of the plots. The dashboard is generated using a dedicated R code.

The main code used to generate the dashboards is available on GitHub:

https://github.com/eatlas/GBR_NESP-TWQ-4.2_AIMS_Water-temperature-dashboards

Limitations of the data:

Many of the sensors contain data outside the project time frame (2015-2017). However, this data was only used to calculate the climatology, when more than 10 years of data exist. Data outside the project time frame are not plotted in the dashboards. Data is available at AIMS DATA centre.

Format:

The dashboards are individual HTML files. The original data can be downloaded from AIMS data centre (temperature loggers, moorings and weather stations, https://www.aims.gov.au/docs/data/data.html ) or from Queensland Environment (wave buoys, https://www.qld.gov.au/environment/coasts-waterways/beach/monitoring/waves-sites )

References:

Drivers of Bleaching on the Great Barrier Reef - Compilation of temperature data from 2015, 2016 and 2017, https://eatlas.org.au/gbr/nesp-twq-4-2-temperature-data-2015-17

Files Location:

The code for this project is available on GitHub:

https://github.com/eatlas/GBR_NESP-TWQ-4.2_AIMS_Water-temperature-dashboards

This dataset is filed in the eAtlas enduring data repository at: data\custodian\2018-2021-NESP-TWQ-4\4.2_Oceanographic-drivers-of-bleaching\data\2020-08-05_GBR_AIMS_NESP-TWQ-4-2_Temp-dashboard_2015-17