The collection contains Degree heating week (DHW) time series. The matrix has 4 dimensions : longitude, latitude, time-window and warming). The data are on a longitude/latitude grid from 123 E to 210 E and 25S to 16 N. there are 21 warming slices ( 0 to 2degC every 0.1 degC) and 30y for each warming slice. DHW is a metric used to measure bleaching risk due to ocean temperature and is calculated from Sea Surface Temperature (SST) timeseries. Each 30-year DHW timeseries is associated with a warming anomaly (none to +2oC every 0.1oC). For projections of DHW, warming anomalies are added to detrended SST timeseries. There is no particular time associated with the 30-year window. Each 30-year window is actually used to calculate probability of heat stress for a single warming slice or time slice of the mean state change. Therefore we are using the 30-year observations of SST to give use the characteristics of the SST variability, rather than a 30-year projection of SST. (For more details see Langlais et al., 2015 Local SST variability determines coral bleaching risk under global warming. Geophysical Research Letter.) This collection is a single 4.6GB matlab file.
Lineage: Generated from NOAA Optimum Interpolation 1/4 Degree Daily Sea Surface Temperature Analysis, Version 2 (Reynolds RW, Smith TM, Liu C, Chelton DB, Casey KS, Schlax MG (2007) Daily high-resolution-blended analysis for sea surface temperature. Journal of Climate, 20, 5473-5496 ). The satellite SST product , known as Reynolds 0.25 v2, was obtained through the Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. http://rda.ucar.edu/datasets/ds277.7/. More details of the collection can be found in Langlais et al., 2015. Local SST variability determines coral bleaching risk under global warming. Geophysical Research Letter.
Credit: This data collection is a product is funded and supported by the Australian Government through the Pacific Australian Climate Change Science and Adaptation Planning Programme (PACCSAP). PACCSAP was funded by Department of Foreign Affair & Trade, managed by the Department of the Environment and the science was delivered by the partnership between CSIRO and the Bureau of Meteorology.
This output was produced as part of PACCSAP Project 1.4.5: Projected increases in the severity and frequency of coral bleaching.
The metadata and data are available to the public. All Rights (including copyright) CSIRO Australia 2015. Licence: Creative Commons Attribution Licence.
Clothilde Langlais, Jaci Brown, Alex Sen Gupta, Mareva Kuchinke, Chris Evenhuis (2015): Projections of coral bleaching risk in the Western Pacific under different levels sea surface temperature increases. v1. CSIRO. Data Collection. 10.4225/08/551413D6B8141