Refining the use of climate models to project future levels of coral bleaching

Projections of coral bleaching, a climate change impact at coral reefs, rely on heat-stress calculated from global climate model outputs. A widely-used method to calculate heat stress significantly underperforms when compared to a related method used to predict coral bleaching in near-real time.
Published in Earth & Environment and Mathematics
Refining the use of climate models to project future levels of coral bleaching
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Climate impacts at coral reefs have been a societal concern and a focus of academic study for over three decades. Climate impacts include the intensification of storms, sea level rise, and ocean acidification. The highest-profile climate impact upon reefs is coral bleaching - the loss single-celled algae symbiotic with coral under very warm ocean temperatures, which can rapidly lead to coral death over large areas of reef. 

As for many other climate impacts on human and natural systems, changes in coral bleaching have been projected under different levels of climate change using global climate models (or general circulation models) - computational models of the heat flux and fluid flow of the atmosphere and ocean. At the turn of the 21st century, the sea-surface temperature values output by global climate models - the necessary data used to estimate coral bleaching - were typically provided as monthly-averages.

To project coral bleaching, monthly "anomalies" were calculated - for each month, if the sea-surface temperature average was warmer than the long-term mean for that month, the amount (in degrees Celsius) that it exceeded the long-term mean by was recorded. If there was more than one monthly anomaly over consecutive months, they were summed together, typically over a three-month or four-month period. If this sum exceeded 1°C then bleaching was predicted to occur over that period, and if it exceeded 2°C then severe bleaching with mortality of many coral colonies was predicted to occur. This approach to projecting coral bleaching using the sea-surface temperatures predicted by global climate models is called "Degree Heating Months".

A related approach is used to predict coral bleaching in the present day, using sea-surface temperatures that are detected by a network of specialised satellites that measure infrared radiation emitted by the ocean's surface. Present-day predictions are highly important for facilitating the coordinated response of coral reef managers, conservationists and scientists to widespread coral bleaching events, such as those that occurred globally in 2014-2017, and 2023-2024. The present-day method, "Degree Heating Weeks" uses the weekly-mean of sea-surface temperatures summed over a 12-week period to predict coral bleaching. 

Degree Heating Weeks and Degree Heating Months are usually considered to be related according to a factor of four: divide any value of Degree Heating Weeks by 4, and the equivalent value in Degree Heating Months will result. This is the basis for the 1°C bleaching and 2°C severe bleaching thresholds used for Degree Heating Months: according to a factor of 4, they are equivalent to Degree Heating Week thresholds of 4°C and 8°C that are used to indicate bleaching and severe bleaching, respectively. Since Degree Heating Weeks is used for present-day predictions, its values can be compared to the actual level of bleaching that occurred on coral reefs. So, the Degree Heating Week thresholds are very well "ground-truthed" in real-life data, whilst the accuracy of Degree Heating Month thresholds is reliant on whether the "factor of 4" relationship between Degree Heating Weeks and Degree Heating Months is sound.

In a study in Nature Geoscience, I and coauthors directly compared Degree Heating Week and Degree Heating Month values for the past two decades to examine the accuracy of Degree Heating Months, for coral reefs on the Great Barrier Reef. This was possible because satellite-detected sea-surface temperatures are available daily for that period, allowing the calculation of both value types. We found that Degree Heating Months substantially over-estimated heat stress during that period, compared to Degree Heating Weeks.

Using observed sea-surface temperatures at the Great Barrier Reef over the 2001-2020 period, Degree Heating Months overestimates heat stress in comparison to Degree Heating Weeks. The maximum annual heat stress value was calculated using Degree Heating Months and Degree Heating Weeks based on satellite-detected sea-surface temperatures at each of 2014 reefs in the Great Barrier Reef, for every year in the 2001-2020 period. The two lines display cumulative histograms of heat stress values in this dataset for Degree Heating Weeks and Degree Heating Months. The inset displays every value (each year at each reef) of Degree Heating Weeks plotted against the corresponding value of Degree Heating Months.

To explore this potential discrepancy further, we took advantage of the increased availability of sea-surface temperature outputs for global climate models to examine the accuracy of Degree Heating Months. In newer generations of global climate models, sea-surface temperature has been provided at a daily interval, rather than as monthly averages. We again compared Degree Heating Week and Degree Heating Month values using global climate models for the past two decades at the Great Barrier Reef. We found that Degree Heating Months substantially over-estimated heat stress, compared to Degree Heating Weeks, in four out of the six global climate models that we examined. 

Degree Heating Months are often used in conjunction with ecosystem modelling to predict the future trajectory of coral reefs this century.  We performed ecosystem modelling of the Great Barrier Reef for the next eight decades, separately for Degree Heating Week values and Degree Heating Month values calculated from the same six global climate models. We found that future projections of Great Barrier Reef coral cover (the percent area of the seafloor that is covered by coral) were approximately double when Degree Heating Weeks was used in projections, compared to Degree Heating Months. In other words, Degree Heating Weeks produced a "more optimistic" prediction of future health of the Great Barrier Reef, compared to Degree Heating Months.

In future projections of coral cover levels on the Great Barrier Reef, Degree Heating Months results in more pessimistic predictions than Degree Heating Weeks, shown here for the RCP 4.5 representative concentration pathway for greenhouse gases. Coral cover projections were produced using the ReefMod-GBR ecosystem model, used projected sea-surface temperatures at the Great Barrier Reef from six climate models (HadGEM2-ES, CCSM4, CESM1-WACCM, GISS-E2-R, GFDL-ESM2M, MIROC5). 

Overall, future projections of coral reefs under climate change this century are still not hopeful - coral cover declined to very low values under the climate change scenarios that are currently considered likely (those scenarios known as RCP 4.5 and RCP 6.0), regardless of which heat stress calculation method was used. However, using Degree Heating Weeks - the method that has been well-validated against observations of coral bleaching - resulted in a slower decline in the Great Barrier Reef as ocean warming intensified. 

Accurate projections of coral reef health will allow better planning for adaptation of communities and countries that rely on coral reefs for their livelihoods and economies, as reefs degrade or change under future warming.  Reef restoration initiatives also require accurate projections of coral ecosystems - for example, to understand the pace of ecosystem change that must be met in order for restoration to be effective. Understanding that Degree Heating Weeks is the best method for future heat stress prediction at coral reefs brings us a step closer to reliable projection of future coral reef health.

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Marine Biology
Physical Sciences > Earth and Environmental Sciences > Earth Sciences > Ocean Sciences > Marine Biology
Physical Oceanography
Physical Sciences > Earth and Environmental Sciences > Earth Sciences > Ocean Sciences > Physical Oceanography
Remote Sensing/Photogrammetry
Physical Sciences > Earth and Environmental Sciences > Geography > Geographical Information System > Remote Sensing/Photogrammetry
Coral Reefs
Physical Sciences > Earth and Environmental Sciences > Earth Sciences > Ocean Sciences > Marine Biology > Coral Reefs
Climate and Earth System Modelling
Mathematics and Computing > Mathematics > Applications of Mathematics > Mathematics of Planet Earth > Climate and Earth System Modelling

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