Hurricane Intelligence Florida: Florida impacts and ENSO, 1851 to present. A JnGmedia property.

Phase vs Phase, 1950-2025 (ONI coverage)

ENSO Laboratory

What Even Is El Nino?

You cannot turn on the news during hurricane season without hearing "El Nino this" or "La Nina that" -- but almost nobody ever explains what the words actually mean. Here is the real answer.

The Pacific pattern starts it; the wind shear it creates over the Caribbean and Atlantic is what actually decides whether a storm gets torn apart or left free to strengthen. The pattern itself travels -- the ocean water stays put in the Pacific. Tap to enlarge.

Steady winds called trade winds normally blow across the Pacific Ocean from east to west, all the way from South America to Asia. Think of it like blowing across a bowl of soup -- it pushes the warm broth toward the far side of the bowl. That is what the trade winds do to the ocean: they pile up warm water on the western side of the Pacific, near Asia and Australia, while cooler water rises up to replace it on the eastern side, near South America.

El Nino happens when those trade winds weaken. With less wind pushing it west, the warm water that was piled up near Asia sloshes back east, toward South America -- like letting go of that bowl of soup and watching it settle back to level.

La Nina is the opposite: the trade winds get stronger than normal, piling up even more warm water in the west and pulling up even more cold water in the east.

Neutral -- the most common state of the three -- is just... normal. Neither extreme. The soup sitting still.

Scientists call the whole system ENSO -- El Nino Southern Oscillation -- because there is a second half to the story: air pressure over the Pacific rises and falls in a seesaw pattern that mirrors the water temperature. That seesaw is actually the part that reaches all the way to Florida, thousands of miles from the Pacific -- not the warm water itself.

Here is the piece that matters most for this whole page: El Nino tends to increase wind shear over the Atlantic and Caribbean -- strong winds blowing at different speeds and directions at different altitudes, which can literally rip a forming hurricane apart before it gets organized. La Nina relaxes that shear, giving storms a clear, calm path to build and strengthen. That one mechanism is why the numbers below skew the way they do.

How do we know which phase we are in? NOAA tracks it with the Oceanic Nino Index (ONI), a running measure of Pacific sea-surface temperature. That record only goes back to 1950, which is why the comparison below is scoped to 1950-present.

The Numbers

Head-to-head comparison of the three ENSO phases across every hurricane season from 1950 to 2025. Raw counts alone mislead when the phases occur unequally often, so each column also shows how many total seasons that phase produced, and the share that brought Florida a hurricane. Storms before 1950 predate the ONI record and are listed in the Timeline without a phase.

El Nino

22 seasons in phase

FL impact seasons7 of 22 (32%)

95% confidence: 16.4–52.7% -- a modest sample size means this rate could plausibly sit anywhere in that range, not just at the 32% point estimate.

FL hurricanes11
Center landfalls9
Major impacts (Cat 3+)6
Gulf vs Atlantic8 / 3
Gulf 73%Atlantic 27%

La Nina

18 seasons in phase

FL impact seasons7 of 18 (39%)

95% confidence: 20.3–61.4% -- a modest sample size means this rate could plausibly sit anywhere in that range, not just at the 39% point estimate.

FL hurricanes11
Center landfalls10
Major impacts (Cat 3+)3
Gulf vs Atlantic5 / 6
Gulf 45%Atlantic 55%

Neutral

36 seasons in phase

FL impact seasons12 of 36 (33%)

95% confidence: 20.2–49.7% -- a modest sample size means this rate could plausibly sit anywhere in that range, not just at the 33% point estimate.

FL hurricanes22
Center landfalls17
Major impacts (Cat 3+)9
Gulf vs Atlantic14 / 8
Gulf 64%Atlantic 36%

Approach side is derived from the HURDAT2 track by a documented heuristic, not a NOAA-published field; see the methodology.

The 95% confidence range on each FL impact rate uses a Wilson score interval -- the standard textbook choice for a proportion at a modest sample size (dozens of seasons, not thousands), and one that never produces a nonsense bound below 0% or above 100% the way a plain +/- margin can. It answers "how much could this rate plausibly move with a few more or fewer seasons of data," not a claim about causation.

Storms Behind the Numbers

65 storms match. Phase filters cover 1950+ (ONI); the unfiltered list includes pre-1950 storms.

SeasonStormENSOFL MonthRegionsApproachPeak CatMin P (mb)LandfallJoin
2024MiltonNeutralOctSW2 SE1gulf5895yesname_match
2024HeleneNeutralSepNW4gulf4939yesname_match
2024DebbyNeutralAugNW1gulf1979yesname_match
2023IdaliaEl NinoAugNW3gulf4942yesname_match
2022IanLa NinaSepSW4 I-SE1 NE1gulf5937yesname_match
2018MichaelEl NinoOctNW5gulf5919yesname_match
2016HermineNeutralSepNW1gulf1981yesname_match
2005WilmaNeutralOctSW3 SE2gulf5882yesname_match
2005RitaNeutralSepSW1gulf5895noname_match
2005DennisNeutralJulNW3gulf4930yesname_match
2004IvanEl NinoSepNW3gulf5910noname_match
2004CharleyEl NinoAugSW4 SE1 NE1gulf4941yesname_match
1998EarlLa NinaSepNW1gulf2964yesname_match
1995OpalLa NinaOctNW3gulf4916yesname_match
1987FloydEl NinoOctSW1gulf1993yesname_match
1985KateNeutralNovNW2gulf3954yesname_match
1985ElenaNeutralSepNW3gulf3953noname_match
1975EloiseLa NinaSepNW3gulf3955noname_match
1972AgnesEl NinoJunNW1gulf1977noname_match
1968GladysNeutralOctNW2 NE1gulf2977yesname_match
1966AlmaNeutralJunSW2 NW1gulf3970yesname_match
1964IsbellLa NinaOctSW2 SE1gulf3964yesname_match
1956FlossyNeutralSepNW1gulf1974yesname_match
1953HazelEl NinoOctSW1gulf1989yesname_match
1953FlorenceEl NinoSepNW1gulf3968yesname_match
1950EasyNeutralSepNW3 SW1gulf3960yesname_match
1950BakerNeutralAugNW1gulf2979noname_match
1947AL091947 *Pre-ONIOctSW1 SE1gulf2966yespressure_match
1946AL061946Pre-ONIOctSW1 NW1gulf2977yespressure_match
1945AL011945 *Pre-ONIJunNW1gulf2n/ayesyear_month_single
1944AL131944Pre-ONIOctSW3 NE2 NW1gulf4937yespressure_match
1924AL101924Pre-ONIOctSW1 SE1gulf5910yespressure_match
1924AL051924Pre-ONISepNW1gulf1980yespressure_match
1921Tampa BayPre-ONIOctSW3 NW2 NE1gulf4941yespressure_match
1919AL021919Pre-ONISepSW4 SE2gulf4927yespressure_match
1917AL041917Pre-ONISepNW3gulf4928yespressure_match
1916AL141916 *Pre-ONIOctNW2gulf2970yespressure_match
1916AL021916Pre-ONIJulNW2gulf3950nopressure_match
1915AL041915Pre-ONISepNW1gulf2982yespressure_match
1912AL031912 *Pre-ONISepNW1gulf?n/anopressure_match
1911AL031911Pre-ONIAugNW1gulf2972nopressure_match
1910AL051910Pre-ONIOctSW2gulf4924yesyear_month_single
1909AL111909Pre-ONIOctSW3 SE3gulf3957yesyear_month_single
1906AL061906 *Pre-ONISepNW2gulf3953nopressure_match
1896AL041896 *Pre-ONISepNW3 NE3gulf3960yespressure_match
1896AL011896 *Pre-ONIJulNW2gulf2n/ayesyear_month_single
1888AL071888Pre-ONIOctNW2 NE1gulf2970yesyear_month_single
1887AL041887 *Pre-ONIJulNW1gulf2n/ayesyear_month_single
1886AL041886Pre-ONIJulNW1gulf1990yespressure_match
1886AL021886 *Pre-ONIJunNW2gulf2n/ayespressure_match
1886AL011886 *Pre-ONIJunNW2gulf2n/anopressure_match
1882AL061882 *Pre-ONIOctNW1gulf4n/ayesyear_month_single
1882AL021882Pre-ONISepNW3gulf3949yespressure_match
1877AL041877 *Pre-ONIOctNW3gulf3n/ayespressure_match
1877AL021877 *Pre-ONISepNW1gulf1n/ayespressure_match
1874AL061874Pre-ONISepNW1gulf1980yespressure_match
1873AL051873Pre-ONIOctSW3 SE2 NE1gulf3959yesyear_month_single
1873AL031873 *Pre-ONISepNW1gulf1n/ayespressure_match
1871AL061871 *Pre-ONISepNW1 SW1gulf1n/ayesyear_month_single
1865AL071865Pre-ONIOctSW2 SE1gulf2975yesyear_month_single
1859AL081859Pre-ONIOctSW1 SE1gulf1989yespressure_match
1856Southeastern StatesPre-ONIAugNW2gulf3969yespressure_match
1852Middle Florida *Pre-ONIOctNW2gulf2n/ayesyear_month_single
1852Great MobilePre-ONIAugSW2 NW1gulf3961noyear_month_single
1851Great Middle Florida *Pre-ONIAugNW3gulf3n/ayesyear_month_single

Download this view as CSV

The export carries every column above plus join confidence, pressure differences, and provenance fields, so the numbers can be verified independently.

↑ Top