AP EXPLAINS: How one computer forecast model botched Ian (2024)

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As Hurricane Ian bore down on Florida, normally reliable computer forecast models couldn’t agree on where the killer storm would land. But government meteorologists are now figuring out what went wrong — and right.

Much of the forecasting variation seems to be rooted in cool Canadian air that had weakened a batch of sunny weather over the East Coast. That weakening would allow Ian to turn eastward to Southwest Florida instead of north and west to the Panhandle hundreds of miles away.

The major American computer forecast model -- one of several used by forecasters -- missed that and the error was “critical,” a National Oceanic and Atmospheric Administration postmortem of computer forecast models determined Thursday.

“It’s pretty clear that error is very consequential,” said former NOAA chief scientist Ryan Maue, now a private meteorologist who wasn’t part of NOAA’s postmortem.

Still, meteorologists didn’t miss overall with their official Hurricane Ian forecast. Ian’s eventual southwestern Florida landfall was always within the “cone of uncertainty” of the National Hurricane Center’s forecast track, although at times it was on the farthest edge.

But it wasn’t that simple. Computer forecast models, which weeks earlier had agreed on where Hurricane Fiona was going, were hundreds of miles apart as Ian chugged through the Caribbean.

The normally reliable American computer model, which had performed better than any other model in 2021 and was doing well earlier in the year, kept forecasting a Florida Panhandle landfall while the European model -- long a favorite of many meteorologists — and the British simulation were pointing to Tampa or farther south.

Trying to avoid what meteorologists call the dreaded “windshield wiper effect” of dramatic hurricane path shifts, the official NOAA forecast stayed somewhere in between. Tampa — with lots of people and land vulnerable to gigantic storm surges — seemed to be the center of possible landfalls, or even worse just south of the eye so it would get the biggest surge.

Although people’s fears focused on Tampa, Ian didn’t.

The storm made landfall 89 miles (143 kilometers) to the south in Cayo Costa. For a large storm, that’s not a big difference and is within the 100-mile (161-kilometer) error bar NOAA sets. But because Tampa was north of the nasty right-side of the hurricane eye, it was spared the biggest storm surge and rainfall.

People wondered why the worst didn’t happen. There are meteorological, computer and communications reasons.

Overall, the European computer model performed best, the British one had the closest eventual Florida landfall but was too slow in timing and the American model had the highest errors when it came to track, NOAA’s Alicia Bentley said during the agency’s postmortem. But the American model was the best at getting Ian’s strength right, she said.

University of Albany meteorology professor Brian Tang said he calculated the American model’s average track error during Ian at 325 miles (520 kilometers) five-days out, while the European model was closer to 220 miles (350 kilometers).

“A lot of what we notice in the public is when there are big misses and those big misses affect people in populated areas,” Tang said in an interview.

Although this is technically not a miss, people who evacuated Tampa may think it is because the Fort Myers area got the brunt of the storm.

In some ways people are spoiled because the average track error in hurricane forecasts have gotten so much better. The three-day official forecast error was cut nearly in half over the last 10 years from 172 miles (278 kilometers) to 92 miles (148 kilometers), Tang said.

For years meteorologists touted the European model as better, because it uses more observations, is more complex but also takes longer to run and comes out later than the American one, Tang said. The American model has improved after a big boost of NOAA spending, but so has the European one, he added.

The models use a similar physics formula to simulate what happens in the atmosphere. They usually rely on the same observations, more or less. But where they differ is how all those observations are put into the computer models, what kind of uncertainties are added and the timing of when the simulation starts, said University of Miami’s Brian McNoldy.

“You are guaranteed to end up differently,” McNoldy said.

It’s not a problem if the models show similar tracks. But if they are widely different, as during Ian, “that makes you nervous,” he said.

People wrongly focus on funnel-like cone for where the hurricane is forecast to go instead of what it will do in specific locations, said MIT meteorology professor Kerry Emanuel. And in the cone people only pay attention to the middle line not the broader picture, so Emanuel and McNoldy want the line dropped.

Another problem meteorologists say is that the cone is only where the storm is supposed to be with a 100-mile (161-kilometer) error radius, but when storms are big like Ian, their impacts of rain, surge and high wind will easily hit outside the cone.

“The cone was never intended to convey the actual impacts. It was only intended to convey the tracks,” said Gina Eosco, who heads a NOAA social science program that tries to improve storm communications.

So for the first time, NOAA surveyed Florida, Georgia and South Carolina residents before Ian hit and will follow up after to see what risks the public perceived from the media and government information. That will help the agency decide if it has to change its warning messaging, Eosco said.

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Follow Seth Borenstein on Twitter at @borenbears

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Associated Press climate and environmental coverage receives support from several private foundations. See more about AP’s climate initiative here. The AP is solely responsible for all content.

AP EXPLAINS: How one computer forecast model botched Ian (2024)

FAQs

Which model was correct for Ian? ›

Overall, the European computer model performed best, the British one had the closest eventual Florida landfall but was too slow in timing and the American model had the highest errors when it came to track, NOAA's Alicia Bentley said during the agency's postmortem.

Which hurricane forecast model is more accurate? ›

Best models for storm track

In the short range, the American GFS was the most accurate. In the middle range, the HMON was the winner. The HMON (Hurricanes in a Multi-scale Ocean-coupled Non-hydrostatic Model) is one of the hurricane center's hurricane models.

How have improvements in computer models improved hurricane forecasts? ›

Models are more complex. And data-collecting instruments on planes and satellites are more sensitive. These advancements have enabled major improvements in predictions of hurricane behavior. Track forecasts have improved the most, scientists say — but they have made strides at projecting hurricane intensity as well.

Can hurricane models be wrong? ›

The accuracy of hurricane forecast models can vary significantly from storm to storm.

Was the forecast for Hurricane Ian wrong? ›

It's true — key models' predictions of the storm track were almost entirely too far to the northwest, though some were farther off than others. The GFS had the largest error of the major weather models when it came to predictions of Ian's track, according to NOAA researchers.

What is the Ian model? ›

The IAN model, developed at Aarhus University, Denmark, offers one possible approach to evaluating performing arts by looking at the three vectors: intention, ability and necessity, and how threse three relates. The article introduces the model and gives practical examples of how it is applied.

Which model best predicted Hurricane Ian? ›

HAFS was the first model last year to accurately predict that Hurricane Ian would undergo secondary rapid intensification as the storm moved off the coast of Cuba and barreled toward southwest Florida.

Which forecast model is most accurate? ›

Numerical Weather Prediction (NWP) modeling is the most widely used and accurate method for weather forecasting. NWP involves solving a set of mathematical equations that represent the fundamental laws of physics governing the atmosphere.

How accurate is the CMC model? ›

The Canadian Model actually comes in second in accuracy with an accuracy correlation of 0.899. But NOAA's U.S. main model, called the Global Forecast System (GFS) is in third place at accuracy in this case. The five day accuracy is 0.894, and just slightly less accurate than the Canadian Model.

Why computer models can be inaccurate at predicting future weather conditions? ›

Meteorologists use computer programs called weather models to make forecasts. Since we can't collect data from the future, models have to use estimates and assumptions to predict future weather. The atmosphere is changing all the time, so those estimates are less reliable the further you get into the future.

What technology has improved hurricane forecasting? ›

For the first time, forecasters will use AI (artificial intelligence), combined with an array of additional new technologies, to keep an eye on developing tropical cyclones and their projected paths.

How do computer models help with weather forecasting? ›

All weather models work on the same basic principles, solving for a large number of complex equations for various locations at both the surface, and different heights (layers) of the atmosphere. These equations solve for many parameters such as temperature, dew point, wind speed, in addition to many others.

What does the Z mean in hurricane models? ›

All aspects of meteorology are based upon a world-wide 24-hour clock called Zulu time (Z), more commonly called Coordinated Universal Time (UTC). You will notice all weather maps, radar, and satellite images all have their time expressed in "Z".

Can the weather forecast be wrong? ›

The accuracy of weather predictions tends to decrease as the forecast period extends. The success rate for one-day forecasts is about 96-98%. It drops to about 90% for three-day forecasts. The more days in advance the forecast, the more likely it is that the weather will change.

How accurate are NOAA hurricane forecasts? ›

For the last 23 years, NOAA's summer forecasts have correctly predicted the hurricane range 52% of the time. That's a coin flip! For major hurricanes, they've been right 61% of the time. Notice how the light blue “predicted range” is larger on the right side of the graph versus the left.

Is the Euro or GFS model more accurate for hurricanes? ›

Most of the time, the European model is the most accurate. For example, the Euro was the first model that showed the southward shift of the storm on Monday. Eventually, the other models followed.

What spaghetti model is most accurate? ›

The European Center for Medium-Range Weather Forecasting Model (ECMWF) is widely considered the best for predicting global weather patterns and has been beating the other models in terms of accuracy, but looking to rely on one model over another isn't the correct approach, said National Weather Service Meteorologist ...

How accurate is the Hafs model? ›

HAFS performed very well for the 2023 season, generally 10 percent to 15 percent better for track and intensity by forecast days 3-5 than the previous hurricane model.

How accurate is the Ukmet model? ›

The UKMET ranks second-lowest in overall global weather pattern forecast errors. For tropical weather, it is an independent opinion that can be uniquely correct but often has a west bias for track.

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