Analysis performed Tue Oct 16 09:37:50 2018.
Figure 1. Current status of ocean temperatures. The current status can be seen as a) the current observed sea-surface temperature (SST) anomaly (i.e. observed minus the long-term mean on a given day) and b) associated heatwave severity based on the Hobday marine heatwave scale (Hobday et al 2018).
Figure 2. Proportion of study area impacted by MHWs. The proportion of the study area in Figure 1 in a given Marine Heatwave category is plotted over the last 12 months. Categories are stacked on top of each other, so that the upper edge of a category corresponds to the proportion that is in that category or higher. Heatwave severity is classified following the Hobday marine heatwave scale (Hobday et al 2018).
Figure 3. Extreme temperatures over the last 12 months. The most extreme temperatures observed over the last 12 months can be seen as a) the maximum daily observed sea-surface temperature (SST) anomaly (i.e. observed minus the long-term mean on a given day) and b) the maximum heatwave severity based on the Hobday marine heatwave scale (Hobday et al 2018).
| Component | Description |
|---|---|
| Observational data | Sea surface temperature (SST) observations based on the NOAA OISST v2 AVHRR-ony product (also known as Reynolds SST). https://www.ncdc.noaa.gov/oisst |
| Temporal Resolution | Daily |
| Spatial Resolution | ~20km (0.25 deg) |
| Climatological Period | 1986-2015 inclusive |
| Software | heatwaveR version 0.3.3 (2018-07-25) |
| Most recent data | 09 Oct 2018 |
Hobday, A., Oliver, E., Sen Gupta, A., Benthuysen, J., Burrows, M., Donat, M., … Smale, D. (2018). Categorizing and Naming Marine Heatwaves. Oceanography, 31(2), 477–486. https://doi.org/10.5670/oceanog.2018.205
Hobday, A. J., Alexander, L. V., Perkins, S. E., Smale, D. A., Straub, S. C., Oliver, E. C. J., … Wernberg, T. (2016). A hierarchical approach to defining marine heatwaves. Progress in Oceanography, 141, 227–238. https://doi.org/10.1016/j.pocean.2015.12.014
This work by Mark R. Payne is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. For details, see http://creativecommons.org/licenses/by-nc-sa/3.0/deed.en_US Basically, this means that you are free to “share” and “remix” for non-commercial purposes as you see fit, so long as you “attribute” me for my contribution. Derivatives can be distributed under the same or similar license.
This work comes with ABSOLUTELY NO WARRANTY or support.
The research leading to these results has received funding from the European Union Horizon 2020 research and innovation programme under grant agreement number 727852 (Blue-Action).