Enlarge / Hurricane damage in Puerto Rico.Yuisa Rios/FEMA

With the warming climate, we should expect a change in weather-related disasters. Fewer cold snaps and stronger heat waves are the obvious issues. But we should also see more intense storms, as a warmer atmosphere can hold more water vapor, while droughts may intensify in areas where rain was already sparse as the heat bakes water out of the soil.

All that suggests the costs of weather disasters will be different—but not necessarily better or worse. Researchers who have tried to study the topic have come up with very mixed results: some show an upward trend in the cost of natural disasters, while others fiercely dispute these analyses. Now, a new study suggests a possible reason for this: while the average damage caused by disasters is staying relatively stable, the most extreme events are increasing rapidly. But in a small bit of consolation, the human costs may be dropping.

A confused literature

It might seem that analyzing the cost of weather disasters would be simple: identify the disasters, total the cost, and see if there's a trend over time in the warming world. But the reality is more complex. One complication is obvious: offsetting effects. Heat waves are going up in a warming world, but cold snaps are dropping. If these changes have offsetting costs, you could see no effect even as the dynamics shift.

Geography can also average out real changes. For example, the Western US is getting drier, raising the risk of drought, while the northeastern part of the country is seeing more intense rainfall. If you look at the country as a whole, these effects can make it appear as if there were no change despite both regions having more climate-related problems.

Another complicating factor is that extreme weather is, by its nature, rare and erratic. For example, the US recently went through a multi-year period where no hurricanes made landfall, which would have skewed any disaster trends based on recent data. Finally, there's the fact that we alter our own behavior, in some cases in response to disasters. That could mean more (or more valuable) property in the path of potential weather disasters. But it could also mean that hurricanes alter building codes, while wildfires change how we handle brush clearance and even whether we provide electricity. It's entirely possible that having one disaster could reduce the damage by an equivalent one that struck afterwards, given that we've changed in response to the first.

All of this has left the disaster literature a bit of a mess. Some papers find trends, others don't, and yet others find that there's simply not enough data to provide a signal that rises above the statistical noise.

Thinking big

The researchers behind the new work took a slightly different approach to doing the analysis, one that's easiest to understand using a diagram from the paper.

Model data from the new analysis.
Enlarge / Model data from the new analysis.

The work tests whether damages behave like the upward curve of the black line in the main graph. If so, then as impact of a stressor—rising temperatures, shown in red at the bottom of the graph—increases, the potential for damage rises in a non-linear manner. If this is the case, we'd expect to see two things. As shown to the left of the graph, the blue curve of existing damages would shift upward, creating a red bulge that still encompasses most of the normal range of events but has more of the high-damage events. As shown in the inset, you'd also start to see damages of a magnitude that simply hadn't occurred previously.

In this view, the average damages would only change slowly, since prior and present probability curves on the left of the graph overlap so much. But you'd see more of the most-damaging events and a few that had never been seen before.

To look into this situation, the researchers developed a model that takes into account the cost of disasters and the frequency with which disasters of a given cost take place. They then examined whether these numbers were changing over time. For example, you could figure out damages from the costliest disasters from the 1960s and then see if there were more disasters in this cost range in the 2000s. Or you could also see if the number of disasters that were even more expensive went up over time.

Obviously, the researchers had to control for a variety of factors, like population size and GDP of the areas affected by disasters, as wealthier societies have more value at risk. But they also examined whether the climate zone—tropical vs. temperate vs. polar—made a difference.

The good news

What the researchers found matched up well with their prRead More – Source


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