MLive Corrects the “Super El Niño” Narrative—NOAA Doesn’t Actually Use That Term, plus it looks to be fizzling
One of the more refreshing weather articles to appear recently comes not from a climate blog but from MLive, where meteorologist Mark Torregrossa points out something that has largely disappeared amid sensational headlines, like Godzilla Super El Niño and other ridiculous headlines

“There is no such thing as a Super El Niño. NOAA ranks El Niño and has the official categories of weak, moderate, strong and very strong.”
That’s a definition worth noting and repeating.
The distinction matters because “Super El Niño” has become a favorite media label despite having no official standing. It conveys an impression of something unprecedented or extraordinary, even though NOAA already has a classification system capable of describing exceptionally warm events.
Torregrossa does an excellent job explaining the basics.He reminds readers that El Niño is not a storm but an ocean-atmosphere phenomenon involving sea-surface temperatures across an enormous stretch of the equatorial Pacific. “El Niño isn’t a storm system. It’s an ocean condition when the surface water warms up to above normal temperatures… The area of water in the El Niño region stretches across the Pacific Ocean from the west coast of South America to Indonesia.”
That geographical scale is often overlooked when media reports reduce El Niño to a convenient explanation for every weather event.
Models versus observations
The article also illustrates an increasingly common issue in weather and climate reporting: forecasts based on model projections quickly become presented as expectations.
Current observed Niño 3.4 anomalies are still relatively modest. “Right now NOAA is using 0.7 degrees C for the water temperature anomaly. This means El Niño is still weak.”
Yet only a few paragraphs later the discussion shifts to computer guidance:
“Some of the various computer models around the world are now predicting the El Niño could peak at 3.7 degrees warmer than normal.”

That’s a considerable jump—from observations around 0.7°C to model projections exceeding 3°C.
Forecast models are valuable tools, but they remain forecasts, not measurements. Ensemble spread itself reflects uncertainty, especially many months into the future. Seasonal prediction has improved substantially over recent decades, yet predicting the precise peak intensity of ENSO remains one of the more challenging problems in climate forecasting.
The article notes that NOAA assigns a 63 percent chance of a very strong El Niño by winter. Probability forecasts are frequently misunderstood. A 63 percent probability is neither certainty nor inevitability. It also does not imply that every anticipated regional weather effect will occur. Seasonal outlooks describe shifts in odds, not deterministic forecasts.
Torregrossa acknowledges this nuance later in the piece:
“The strength of an El Niño doesn’t necessarily mean the effects will be stronger… The strength gives us a higher chance of at least being warmer than normal in winter.” That is an important clarification that often disappears once headlines begin linking every weather event to El Niño.
The terminology matters
Perhaps the biggest takeaway is simply this:
If NOAA itself doesn’t officially classify events as “Super El Niño,” perhaps the media should reconsider using the term so casually. Adding “super” may generate clicks, but it doesn’t improve scientific precision.
Weather forecasting already has enough uncertainty without inventing unofficial labels that imply more certainty—or more drama—than the underlying science supports. As Torregrossa’s article demonstrates, careful explanation serves readers better than sensational terminology.
Thank Jim Hansen for the Super Duper designation.
I think it would be more alarming had they settled on something like Supercalifragilisticexpialidocious as an umbrella term.
This el Nino is Supercalifragilistic and could become even more expialidocious as the year progresses…
Of course in Ireland, the weather has changed from ‘a wee bit moist’ to ‘a tad warm, for the time of year’
Oh. No. Its now a mass of thunderstorms. Oh well. I expect ‘Thor is having a craic’
The Friday funny – Post Resignation Edition
Pass the popcorn…
https://www.youtube.com/shorts/yhL-ny5pZ8Q
No evidence of butter or salt. Plenty of Starmer germs though.
No thank you.
Starmer has NOT resigned. He is still fully acting PM and has set no date for his departure.
That does not fit any definition of the term “resignation” which I an aware of.
— famous line from the Shakespeare play Romeo and Juliet . . . or something like that.
Desperate Dan? He loved cow pie.
The meteorologist’s goal is to provide the most correct information available. The media’s goal is to get the most clicks on what they write. Very different goals, very different writing.
No godzilla el Nino? No super el Nino? We now return you to your regular programming of drought, heat wave, and pestilence scare tactics.
Naturally the alarmists would jump at the chance to make a big issue out of the possibility—note, just the possibility—that the next El Nino would be stronger than usual. So this gives them the chance to claim that more severe weather events are a virtual guarantee brought on by excessive fossil fuels and any other human activity that they find convenient to denounce. So in the end what we’re really seeing is yet another example of why increasing numbers of the global population scoffs at these climate predictions, then promptly ignores them.
So chances are I will never read it.
Nice work on climate communication.
You could always subscribe
I notice in the model predictions chart in the head line graphic, even the cooler models all jump up in August.
OK the more extreme models are hot and continue to get hotter but why do the models which show little warming or even cooling in JJA trimester suddenly swing up in JAS which has two months in common with JJA ??
Since we have no idea how these cycles work or what triggers them these cannot be physical models , so I guess it statistics.
We all know the adage about lies, damned lies and statistics. The fourth level is climate statistics.
Here’s the current ENSO data:
https://climatereanalyzer.org/clim/sst_daily/?dm_id=nino3.4