3 Names Retired after the 2024 Atlantic Hurricane Season

During its annual meeting taking place this week, a hurricane committee within the World Meteorological Organization decided that 3 names would be retired following the 2024 Atlantic hurricane season: Beryl, Helene, and Milton.  They will be replaced by Brianna, Holly, and Miguel in the 2030 list.

So... how does this naming and retiring work??

Tropical cyclone tracks during the 2024 Atlantic hurricane season, color-coded by Saffir-Simpson category.  The tracks of Beryl, Helene, and Milton are highlighted with thicker lines.

The underlying reason for assigning names to tropical cyclones is that it makes communicating information about these huge and impactful storms simpler than referring to them solely by numbers or even by their coordinates on the globe.  A tropical cyclone is given a name once the sustained winds reach 39 mph (63 kph)... a tropical storm.

Tropical storms and hurricanes in the Atlantic Ocean started receiving human-sounding names 72 years ago.  After a few years of trying the World War 2-era Phonetic alphabet for storm names, the 1953 list featured all-female "human" names: Alice, Barbara, Carol, Dolly, Edna, etc.

That remained the practice (with a few modifications to the lists in 1955, 1960, and 1971) until 1979 when the modern naming system was introduced in which six lists of alternating male/female names are reused every six years.  In other words, the list of names from 1979 was reused in 1985, 1991, 1997, and will be again in 2027.  That is why the 2024 list will next be used in 2030.  Those six lists only contain 21 names, as it was felt that there were not enough common names that begin with Q, U, X, Y, or Z to be sustainable.

Trivia 

Q: What was the first "male" name assigned to an Atlantic tropical cyclone?

A: It was Bob on July 10, 1979.

It did not take long to realize that some storms' names were particularly infamous and traumatic because of the death and destruction they caused, and it became the practice to retire those names and replace them with a different name of the same gender and letter (for example, Andrew was replaced by Alex and Irma was replaced by Idalia).

In 1954, three terrible hurricanes put this concept into practice: Carol, Edna, and Hazel.  Since then, and including 2024, there have been 99 names retired.  Since 1979, the names and retirees have been chosen by a committee within the World Meteorological Organization.  The committee is comprised of representatives from 28 member nations that are affected by Atlantic hurricanes, so names tend to reflect a broad range of nationalities.  

Trivia 

Q: What names were retired upon their very first use in the modern naming era?

A: There have been nine, though four of them are from the initial use of the lists.  David (1979), Frederic (1979), Allen (1980), Alicia (1983), Michelle (2001), Ike (2008), Igor (2010), Irma (2017), and Milton (2024).

The process of retiring a name is surprisingly subjective; there are no minimum requirements for the number of fatalities or the economic losses to be met in order to be considered for retirement.  The country or countries affected simply nominate a storm name for retirement, make a case for it, and the committee votes.  It is tempting to construct some objective criteria, but consider the same hurricane hitting a rural stretch of the United States coastline versus passing over a small Caribbean island nation.  In the U.S., such a storm would likely not make a significant or lasting impact, but the small island could be effectively destroyed.

The following sequence of charts groups the retired names by various criteria.  The most retired letter is "I" (13 times) and it's not even close.  One might suspect that "I" storms tend to occur at the peak of the season when intense hurricanes are most common, but why wouldn't "H" and "J" be way up there too since they'd likely occur right around the same time?  Instead, "F" and "C" names are the most commonly retired after "I".  Climatology certainly plays some role, but luck takes care of the rest.

Since storms can affect multiple places over several days or even a week, it can sometimes be hard to assign a date to what event caused the storm name to be retired.  The next two charts simply assign the storm's month and Saffir-Simpson category based on when it achieved its peak intensity.  Not surprisingly, the peak month is September with nicely-distributed drop-offs in August and October, and then the storm that is most frequently retired reached Category 4 hurricane intensity.  Roughly 45% of all major hurricanes (Category 3-4-5) end up getting retired, and major hurricanes account for 86% of all retired names.

The next chart shows how many names were retired each year.  The most was 5 (in 2005), and 21 of the 72 years had no names retired (most recently in 2023).  However, I also added a trend line, which is decidedly upward.  Since there are no objective criteria for retirement, we can't logically blame that trend on evolving criteria.  One contributing factor could be that, on average, hurricanes are gradually getting stronger and wetter due to climate change.  But primarily, there are simply more people and there is more stuff in harm's way now compared to several decades ago, so the same hurricane is more likely to cause more problems today.

There is really no meaningful trend, up or down, in the number of fatalities caused by storms that end up getting retired, but the median number is 67 people (as few as 1 and as many as ~12,000).  The 2024 season was responsible for the most deaths since 2017.  In terms of inflation-adjusted economic incurred losses, there is definitely an upward trend.  The hurricane seasons of 2017 and 2005 dominate the data, but even without them the trend is upward.  The median value of economic losses caused by retired storms is $6.5 billion 2023 USD (as low as $10m and as high as $196b).  The values and adjustments for 2024 presented here are still preliminary, so I'll update this as I'm able to.

Since the practice of retiring storm names is so subjective, the statistics presented here are not simply a reflection of what's happening in nature -- there is a significant human component to it.  And even the human component has components to it: 

1. A storm can be less deadly if more people are able to evacuate or have a safe shelter
2. A storm can be less costly if construction is more resilient to hurricane hazards
3. With no objective guidelines, a couple dozen people nominate and vote on which names get retired.  There are several examples of past hurricanes that probably should have had their names retired, but didn't.  Two extreme cases are Gordon (1994) which was responsible for nearly 1,200 deaths and Sally (2020) which caused $7.3 billion in damage. Both names are still in use. 

 

Trivia 

Q: Were there any names retired in 2019, and if so, what will replace them in the 2025 list?

A: There was only one: Dorian.  It will be replaced by Dexter this coming season.

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2025 "Cone of Uncertainty" Update & Refresher

Anyone who lives on or near a hurricane-prone coast is undoubtedly familiar with the track forecast cone or "cone of uncertainty" which has been produced by the National Hurricane Center since 2002.  It begins as a point at the current position of a tropical cyclone and expands to show the potential position of the storm's center in the next five days. It is often called the "cone of uncertainty" because the further out in time you go, the more uncertain the forecast becomes... and it tends to look like a cone!

(By the way, "tropical cyclone" is a blanket term that refers to tropical depressions, tropical storms, and hurricanes.)

A "cone of uncertainty" for Hurricane Irma (left) and Hurricane Harvey (right). Both cones are from 2017 and are therefore identical to each other in their construction. 

The size of the cone is fixed for every forecast of every storm during an entire hurricane season, but the size slowly evolves from year to year. If the storm is moving quickly, the cone will appear more elongated and if the storm is moving slowly, the cone will appear more compact... but it's the exact same cone.  The examples shown above are from Irma (left) and Harvey (right); both storms occurred in 2017, so both cones are identical in their construction.

The cone is updated each year prior to the start of hurricane season, and it usually shrinks each year.  Overall, hurricane track forecasts are gradually improving, meaning that in general, there is less uncertainty where a storm will track now than there was a couple decades ago.

The map below shows a sample satellite image with the new 2025 cone overlaid on the 2015, and 2005 cones for comparison.  This year, the cone is slightly smaller at most lead times compared to 2024.

Improvements are getting increasingly challenging to achieve because there can never be a perfect forecast of a chaotic system like the atmosphere. We call this a "limit of predictability", and there will come a time when we reach it and meaningful improvements can no longer be made.  Some would argue we are very close to -- if not already at -- that limit.  It's critical to understand that forecasts evolve and there is always some amount of uncertainty in them.

So just how is the size updated each year?  The National Hurricane Center uses its own track forecast errors over the previous five years to calculate a circle at each "lead time" (1 day, 2 days, ... 5 days).  The size of that circle is designed to enclose the position of the storm's center with 2/3 probability, meaning that there's historically a 1/3 chance the storm will track outside the circle at that time.  Lines connecting the various circles complete the shape of the cone. [Note that the 2025 cone size is thus determined from track errors during the 2020-2024 seasons.]

This next chart shows the evolution of the cone's size at each forecast day -- it's clear that progress is slowing and perhaps has reached a limit at some (most?) forecast lead times.

Since the cone is so widely used yet sometimes misunderstood, here are some key refreshers:

• The cone does not tell you anything about where impacts will be experienced.  It is NOT a "cone of concern"! Even for a perfect down-the-middle track forecast, impacts such as strong wind, heavy rain, storm surge, and tornadoes will extend beyond the cone. Cone graphics on the NHC website include some of the relevant watches and warnings, as shown in the examples at the top of the post.  Starting experimentally this year, tropical storm and hurricane watches and warnings will be displayed inland too, not just on the coast. 

• The cone does not tell you anything about the size of the storm.  Regardless of how strong they are, hurricanes come in a wide range of sizes.  Back in 2017, NHC added the latest observed size of the wind field to its cone graphics to help illustrate this (see the Irma and Harvey examples above... the orange and red shading indicates the extent of tropical storm and hurricane-force winds at the time the forecast was issued).

• The cone does not tell you anything about the actual uncertainty associated with the forecast. Since the size of the cone is fixed, it cannot become more narrow or broad to accommodate a more or less predictable environment.

• Nothing magically happens at the edge of the cone. If a hurricane is approaching and you are scrutinizing each new forecast to see if you are inside the cone or not, you are missing the point of it.  It is arbitrarily chosen to be the 67% historical probability threshold... a 75% probability cone would be larger, and a 50% probability cone would be smaller.  Again, it is NOT a "cone of concern".

• If you use the cone graphics from NHC, there is some information about intensity provided. At each forecast point, there is a letter written inside the black dot corresponding to a general intensity range: D (tropical depression), S (tropical storm), H (hurricane (Category 1-2)), and M (major hurricane (Category 3+)).  But keep in mind that there is uncertainty associated with the intensity forecasts too!

So, let's imagine what a cone of uncertainty for intensity might look like. Consider this: averaged over the past five years (2020-2024), the mean error in a 1-day forecast is +/- 8.1 mph, the error in a 3-day forecast is +/- 12.6 mph, and the error in a 5-day forecast is +/- 16.5 mph.  But there is also a wide range of values that go into those averages, meaning that there is a small probability of a very large error and a small probability of near-zero error.

To create the next figure, I simply averaged five years of intensity errors together such that the values listed for 2025 are based on the NHC's intensity errors during the 2020-2024 seasons (and 2024 used 2019-2023, and so on).  This five-year averaging helps to mimic the smooth trends of the track forecast cone, but it is not a 2/3 probability like the track cone.

Next, using a made-up five-day intensity forecast and the average error values for 2025, I created the following chart.  This is what a cone of uncertainty for intensity could look like; a hypothetical intensity forecast is shown with the red line and the cone of uncertainty is the light red shading surrounding the forecast.