Why did all the models miss the explosive intensification of Hurricane Otis? | CBC News

Why did all the models miss the explosive intensification of Hurricane Otis? | CBC News

The normally bustling beach resort town of Acapulco, Mexico, looks like a scene out of a disaster movie: palm trees stripped of its fronds; windows of hotels and homes shattered; twisted metal signs strewn across streets. All wreckage wrought after Category 5 Hurricane Otis slammed into the region on Wednesday just after midnight local time.

In the end, 27 people lost their lives.

The hurricane took everyone by surprise, including forecasters. The lingering question of why remains.

Otis began as a tropical depression (as all hurricanes do) on Sunday afternoon before transitioning into a tropical storm hours later. 

The U.S. National Hurricane Center (NHC), a world leader in tropical storm forecasting, was closely monitoring it

By Monday evening, it forecast tropical storm conditions and “possible” hurricane conditions beginning late Tuesday. 

WATCH | See Otis’s aftermath in Acapulco:

See the aftermath of Hurricane Otis in Acapulco

Featured VideoA powerful hurricane left buildings in the seaside resort community of Acapulco, Mexico, in shambles.

But that’s not what happened. 

Instead Otis went from winds of 100 km/h to 268 km/h in 24 hours from Tuesday to Wednesday. By Wednesday evening, the NHC called it a “nightmare scenario.” 

This type of strengthening is referred to as “rapid intensification.” While these types of hurricanes are becoming more common, it was Otis’s magnitude that was so shocking.

To put it into perspective, the NHC defines rapid intensification as storm winds that increase by 55 km/h in a 24-hour period. Otis more than doubled that.

“We were expecting maybe it could be a strong tropical storm or hurricane. Some of the models were kind of getting to that, but… even when it started to intensify as much as it did, I was kind of thinking maybe it would peak out at a Cat 3,” said Andy Hazelton, an assistant scientist at the University of Miami’s Cooperative Institute for Marine & Atmospheric Studies who specializes in hurricanes.

“But it just kept going all the way up to landfall, which is sort of a worst-case scenario, especially when you’re in that populated of an area.”

This graphic illustrates the intensity scale of hurricanes based on the Saffir-Simpson scale.

‘Very surprising’

Weather forecasters don’t rely on just one model, but look at many different ones. The problem with Hurricane Otis was that not one model predicted this rapid intensification, especially to that degree.

So the question is: Why not?

“That’s the question that we’re still trying to untangle,” Hazelton said. “And we’ll probably be trying to untangle for a while a little while in terms of with research.

“Models have gotten a lot better over the last decade or two, if you look at the stats … certainly in the last 10 years, even sometimes with rapid identification. So to have a miss like this is very surprising.”

Warm ocean water serves as the fuel for tropical storms. And while there was some deep warm water, Hazelton said, models take that into account.

He also noted that small storms can make it harder to forecast — which Otis was initially — and there was a wind pattern that contributed to strengthening, which could have also contributed to the inaccuracy of the predictions. But once again, models in the past have also been able to take that into account and forecast accurately.

One main factor may have been the initial forecast. Hazelton says forecasters look at the atmosphere and then models do the equations that forecast a day to a week ahead. 

“Part of getting good models is getting those equations right, but you also have to have a good initial state of the atmosphere. So, you know, they say ‘garbage in, garbage out’ — if your initial state is really bad, and doesn’t accurately capture what the storm was like initially, then, even with good physics and a good map and the model, you’re going to have that [incorrect] forecast.”

Climate and/or El Niño

While Earth’s oceans are the warmest they’ve been in recorded history, it’s not entirely clear if the fingerprint of climate change is on Hurricane Otis.

“It’s always hard to pin specific events to climate change,” Hazelton said. “There are studies that attempt to do that. I’m sure that will be done on this one.”

There have been recent studies about rapid intensification, with more of a focus on the Atlantic Ocean, but teasing out the human-caused contribution is more difficult when it comes to hurricanes.

Two stacked photos of the same region of Acapulco show the city before and after Hurricane Otis, with the lower photo showing devastating damage.
A combination picture shows beach road and buildings before and after damage caused by Otis in Acapulco, from Oct. 4 to Thursday. ( Maxar Technologies/Reuters)

“It’s more difficult to tease out a global greenhouse gas induced signal change in hurricane activity than something like global mean temperature or sea level rise,” said Tom Knutson, a senior scientist with the National Oceanic and Atmospheric Administration’s Geophysical Fluid Dynamics Laboratory “We just don’t have records [as long].” 

A recent study found that there has been a “significant increase” in rapid intensification events occurring 400 kilometres off coastlines, tripling from 1980 to 2020, which could continue as our planet warms.

And Otis isn’t the first storm we’ve seen undergo rapid intensification this hurricane season. In August, Hurricane Idalia went from a Category 1 to a Category 4 storm in within 24 hours. 

Another factor that may have contributed to Hurricane Otis is El Niño — the naturally occurring pattern of warming of the ocean surface — which is occurring in the Pacific Ocean at the moment.

“El Niño probably did play somewhat of a role in that it tends to make the eastern Pacific warmer, and more favourable if you have more rising motion there,” Hazelton said.

Scientists may have been caught off guard by Otis, but there are sure to be studies to follow. 

“Anytime it’s not well forecast like this it kind of gives us pause because like, what are we missing in the models?” Knutson said.

“From a scientific perspective, it gives us an opportunity to learn and do better. But certainly, it reminds us how far we have to go.”

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