Atlantic Hurricane Season Forecast: Less Active, But Still Risky
نظرة سريعة
- NOAA predicts a less active Atlantic hurricane season due to El Niño, with 8-14 named systems.
- However, factors like warm ocean temps and the potential for even one strong storm mean preparedness is still crucial.
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The Atlantic hurricane season is approaching, and early predictions suggest it may be less active than usual due to an El Niño event. El Niño typically creates atmospheric conditions that hinder hurricane formation in the Atlantic. However, other factors like warm ocean temperatures can still contribute to storm development.
Atlantic hurricane season is almost upon us, and the early signs indicate it might be less active than usual. But that’s no reason to delete your weather app and ignore the forecast.
The National Oceanic and Atmospheric Administration is predicting eight to 14 named tropical systems, of which three to six will become hurricanes and one to three will be Category 3 or higher.
“What’s driving this forecast is largely an El Niño event,” said NOAA administrator Neil Jacobs.
Characterized by a tongue of hot water stretching across the Pacific, El Niño is likely to emerge this summer. That stretch of warm ocean rearranges weather patterns around the world. In the case of the tropical Atlantic, El Niño stirs up winds that make it hard for hurricanes to spin up. Those that do can sometimes be torn apart by what’s going on in the upper atmosphere. (The opposite is true in the Pacific, and NOAA is predicting a very active season in that ocean basin.)
During the three past super El Niños, accumulated cyclone energy—a metric that factors in storms’ strength and longevity—was well below normal.
That said, El Niño, even an extremely strong one, is only one of many factors that impact hurricane season. Hot local ocean temperatures can help storms form and gain strength, and the Atlantic is currently warmer than normal.
At the same time, Sahara dust can gum up the atmosphere and inhibit storms from forming. It’s also notoriously hard to predict when plumes of it will kick up. That’s what happened last year, when a below-average number of named storms formed despite an active forecast. Despite the lower-than-expected activity, last year still spawned Hurricane Melissa, one of the strongest storms to ever make landfall in the Atlantic basin.
All of which is to say that the seasonal forecast is a handy guide for what to expect, and it’s great for federal and state agencies to preposition supplies and resources. But it’s what happens with individual storms that ultimately matters.
“Even though we’re expecting a below average season in the Atlantic, it’s important to understand it only takes one,” Jacobs said, noting that even in quiet years, Category 5 storms have still made landfall.
The Trump administration has slashed staffing at NOAA and reduced the collection of some data, such as weather balloons, that can impact forecasts. Jacobs touted the value of new observations, including aerial drones that will be deployed operationally for the first time.
NOAA has also ramped up the use of artificial intelligence weather models trained on historical data. During the 2025 hurricane season, the agency tested an experimental hurricane model developed with Google DeepMind. Late last year, it also rolled out a suite of AI weather models to use in operational forecasting, in addition to traditional weather models that use equations to forecast the weather.
The agency says that the AI version of its flagship model provides better prediction of the tracks of tropical cyclones—the generic name for hurricanes—though it lags traditional weather models in predicting their intensity.
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أسئلة مفتوحة
- How will the specific intensity and track of any developing storms be affected by the interplay of El Niño, warm ocean temperatures, and Sahara dust?
- What is the precise impact of the Trump administration's staffing and data collection changes on NOAA's forecasting capabilities?
- How effective will the new AI weather models be in operational forecasting compared to traditional methods, especially for storm intensity?
- Will the deployment of aerial drones significantly improve data collection and forecast accuracy?




