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New model could help predict gulf of Mexico hurricanes

  • New model could help predict gulf of Mexico hurricanes
  • Researchers determine a way to forecast rough hurricane seasons in the gulf of Mexico by looking at atmospheric temperatures in spring.

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American Geophysical Union
AGU galvanizes a community of Earth and space scientists that collaboratively advances and communicates science and its power to ensure a sustainable future.

By analyzing the temperature of the atmosphere several miles above the Earth, researchers have found a way to predict how many hurricanes may sweep through the Gulf of Mexico in the summer and fall.   

These new models for Gulf hurricane prediction can help governments plan disaster responses and mitigate the danger presented by hurricanes like Ida.   

“Our paper was trying to develop a specific forecast to meet that need,” said Paul Miller, an assistant professor of oceanography and coastal sciences at Louisiana State University, and lead author of the new study in the AGU journal Geophysical Research Letters, which publishes high-impact, short-format reports with immediate implications spanning all Earth and space sciences.   

Climatologists have developed several ways to predict the intensity of the hurricane season. But most of these look at the Atlantic basin as a whole rather than just the Gulf. Geographic and climate conditions are quite different in the Gulf of Mexico, which is a sub-basin of the Atlantic.  

“The Gulf of Mexico is a very active sub-basin of the Atlantic,” Miller said. “Last year Louisiana alone hosted five named storms.”   

Storms are more likely to form earlier in the hurricane season in the Gulf than in the Atlantic. At times of peak ocean surface temperatures from August to October, the storm systems are born within the Gulf and can utilize the available energy to rapidly intensify. In addition, because the Gulf is almost entirely enclosed, these storms usually involve some sort of land impacts.   

These factors are why it’s important to be able to predict how many hurricanes may impact the Gulf, but up until now there has not been a good way to do so.   

Miller and his co-author Jill Trepanier, an associate professor of geography at Louisiana State University, examined model records kept by the National Center for Environmental Prediction starting in 2012 to look for trends that might reveal ways to predict storms in the Gulf.   

The Gulf of Mexico is a very active sub-basin of the Atlantic

They first tried to look at traditional atmospheric indicators used by the existing seasonal storm forecasts for the Atlantic region but didn’t find the usual relations and trends that work for predicting storms in the Atlantic.   

Instead, they noticed a correlation between the temperature about halfway up the troposphere, the lowest layer of Earth’s atmosphere, and the number of storms. While this 500-millibar area shifts up or down depending on how warm the atmosphere is, it sits roughly about 6 kilometers (3.7 miles) above the surface. They developed the model they used with data they gathered between 1979 to 2010.  

The average temperature of this area above the Gulf predicted by models run in May can accurately anticipate how many storms are likely to come through the Gulf from June to November—the typical storm season there.   

The model works a little better in predicting heavy storm seasons than average storm seasons, Miller said. For example, it more accurately predicted that an elevated number of storms would pass through the Gulf in 2020.   

Corene Matyas, a geography professor at the University of Florida who was not involved in this study, said it’s great that Miller and Trepanier have created a basic and useful model predicting storm activity in the Gulf of Mexico.   

“In essence, they created a fairly simple metric to try to predict Gulf of Mexico hurricanes,” she said. Most models just try to predict Atlantic storm systems as a whole, she added. “It highlights the need to look at a sub region of the whole Atlantic basin because conditions could be different in that region.”  

Hopefully, she said, models can now improve for hurricane prediction in the Gulf. “It’s a really important first step for actually improving prediction in that sub-basin,” Matyas said.   

Miller said that the government can use this model to better prepare resources for disaster mitigation, whether it’s setting up shelters or other issues. Industries like offshore oil and gas operations can also use it to slow down operations in advance of possible stormy patches.   

“We felt that this was a really important thing to do,” Miller said.   

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