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Can October Snow Predict Your Winter? I Tested a Famous Forecast Signal Across 47 Winters

Every fall, the same question appears on weather forums and social media: Is snow spreading fast across Siberia? Many weather enthusiasts believe that a quick October snow advance there is an early warning sign of a cold, snowy winter for the United States, Canada, and Europe.

This idea comes from a famous scientific study published in 2011, and it has been repeated every winter since. With a fast snow surge forecast again this October, I decided to test whether it still works in the modern era. I went through 47 winters of data, from 1979 to 2025, using four different snow datasets, including the satellite data used in the original study.

The results were surprising, and they change how we should read this October’s snow. Below, I explain how October snow is supposed to disrupt the Polar Vortex, why the theory looked so convincing, what the data really shows, and what the latest forecasts indicate for Winter 2026/2027.

Polar Vortex over the Arctic, Canada and the northern United States as winter 2026/2027 approaches
 

The Expanding Snow Theory: How a Snowy October Became a Winter Signal

 
In 2011, scientists Judah Cohen and Justin Jones found a remarkable winter signal. They measured how fast snow cover expanded across Eurasia during October and its potential impact on the following winter season. The faster the snow advanced, the more likely the winter was to bring outbreaks of cold Arctic air into the mid-latitudes of the U.S. or Europe.

The area they looked at is huge. It stretches from Western Europe all the way to the Pacific coast. Below is a map of this region with the average October snow cover. Most of the October snow builds up across southern Siberia, Mongolia, and the high mountains of Central Asia and Tibet.

Map of the Eurasian area used to measure October snow advance, showing how often the ground is snow-covered

The idea behind it makes complete physical sense. Fresh snow cools the ground and strengthens the Siberian high-pressure zone, a large area of cold, heavy air over northern Asia. This pushes extra energy upward, high into the stratosphere, around 30 km (18.5 miles) high. There, it can weaken the Polar Vortex, a well-known ring of strong winds that keeps the coldest air locked over the Arctic.

The theory works on a principle of a delayed chain reaction from the surface to the stratosphere, and then back down. The image below shows a simple example of this chain reaction, starting from the surface up, from October snow to winter weather. This is a schematic based on the original theory and research done in 2011.

Simple illustration of the Siberian snow theory, from October snow and the Siberian High to a weaker Polar Vortex

In the stratosphere, this energy impacts the Polar Vortex, which then causes the effects to work back down. Below, you can see the difference between two main Polar Vortex modes: A strong Polar Vortex keeps cold air locked in a tight circle around the North Pole. But when it gets stretched and wobbly, lobes of cold air can break away toward the U.S., Canada, and Europe. And this is essentially the engine behind the snow advance theory. Image by NOAA Climate

NOAA illustration of a stable and a disrupted Polar Vortex, with cold air moving south when the vortex weakens

To show the Polar Vortex dynamics, I produced a high-resolution 3D video below that reveals its evolution under stress. This video shows the Polar Vortex structure disruption in early 2026, which brought a cold-air outbreak to the central and eastern United States and parts of Europe, in this case unrelated to the snow advance in the preceding October.

 
When the Polar Vortex weakens, the cold air it normally keeps in the Arctic can break out and spill south into North America and Europe. Meteorologists track the resulting weather pattern with a simple index called the Arctic Oscillation (AO). When the AO is positive, the cold stays locked in the Arctic, and winters tend to be milder.

But when it turns negative, cold air escapes south more easily, increasing the chances of cold outbreaks and snow. Below you can see what a typical negative AO winter looks like. This is the average of 12 winters with a strongly negative AO since 1979, showing how much each region was warmer or colder than normal.

Typical negative AO winter, colder in the eastern United States and northern Europe and milder in eastern Canada

In the United States, the cold is focused on the eastern half of the country, from the Ohio Valley and the Mid-Atlantic down to the Southeast and Florida, while the West stays near normal. At the same time, eastern Canada is much milder than normal, because the cold air that is normally stored there is pushed south.

In Europe, the strongest cold is over the north, spreading into the UK, Ireland, and Central Europe, with southern parts remaining closer to normal.

This is the kind of winter that the Siberian snow theory favors after a fast October snow advance. And that is the big question of this article: does a snowy October in Siberia still deliver this pattern, and where do we stand for Winter 2026/2027?
 

How I Put the October Snow Theory to the Test

 
Between 1997 and 2010, this theory was really strong and quickly became one of the more popular winter forecasting signals to this day. But the original study perhaps had one limitation. Back in 2011, daily satellite snow maps only went back to 1997, so the scientists had just 14 winters to work with. That is not much, but it was still a very good baseline.

Today, much more data is available, and it is also very high quality. I looked at the past 47 winters and, more importantly, 15 new winters since the study was published. This is the real test of any forecast idea: does it still work on years it has never seen?

To be sure the results are real, I also checked everything with four different snow datasets, from satellite observations to modern weather reanalysis. The first results were good news for the original study: every dataset still shows a link between October snow and the winter AO for the original 1997-2010 period. The scientists did not make a mistake.
 

The Snow Signal Worked, Then Started to Shift

 

Below, you can see how the October snow index in all four datasets compared with the following winter. When the lines rise, the winter bars usually turn blue. This shows that the data for this period is sound and confirms the original idea of a solid connection.

October snow advance in four datasets compared with the following winter AO, showing a strong link from 1997 to 2010

But then the signal started to fade. The graph below shows how strong the snow-winter connection was over time. Each point looks at a 15-year window of winters. When the line is in the green zone, the link was strong enough that it is unlikely to be just luck.

Strength of the link between October snow advance and the winter AO over time, peaking in the 2000s and fading after 2011

You can see that the signal was only strong for a short period in the early-to-mid 2000s, right around the time the study was done. Since then, it has steadily faded, and in recent years it has even slightly turned the other way.

All four snow datasets again show the same agreement, as shown in the comparison below. It is the same as the one I did above, but for the 15 winters since the study was published. The four datasets all agree that the winter forecast signal for AO seems to be lost.

October snow advance in four datasets compared with the following winter AO since 2011, with the link no longer visible

 

A Coin Flip Over 47 Winters?

 

We can also look at this more simply. Each box below represents one winter. A green tick means the winter did what the theory predicts (fast snow followed by a negative AO, or slow snow by a positive AO), and a red cross means it did the opposite of expected.

Winter by winter scorecard of the October snow signal from 1979 to 2025, right in 25 of 47 winters

Over all 47 winters, the snow signal was right 25 times and wrong 22 times. That is what most people would call a coin flip. During the original study period, it was right 9 out of 14 times, which is clearly better than chance. But in the 15 winters since the study was published, it was right only 6 times, which is actually worse than a coin flip.

Below is the same result, but in a summarized look. To be useful, a forecast signal needs to be right more often than half the time. The Siberian snow signal only managed that during the original study years.

How often the October snow signal got the winter right, 25 of 47 winters overall and only 6 of 15 since 2011

So why did it look so convincing back in 2011? One key contributor is winter 2009/2010. That winter followed one of the fastest October snow advances, and then delivered the most negative AO on record at the time. It produced a cold winter in Europe and the famous February 2010 snowstorms in the Eastern United States.

It was the perfect example of the theory with a strong winter response. That one extreme winter made the whole connection look stronger and more reliable.

But the opposite also happened recently. Winter 2019/2020 also followed a fast October snow advance, but it became one of the strongest positive AO winters and one of the warmest winters on record at the time in Europe, with mild conditions and little snow also over much of the United States.

Below are both these winters in comparison. Both followed a rapid October snow advance, but they had opposite outcomes. In 2009/2010, every region in the chart was colder than normal, especially a broader part of the United States and northern Europe. In 2019/2020, the same regions were 1 to 4°C warmer than normal.

Winter temperatures in 2009/2010 and 2019/2020, cold in one and mild in the other after a fast October snow advance

 

Why Did It Stop Working? The Stratosphere Still Responds, but the Snow Link Is Gone

 

To understand what went wrong, I followed the whole chain reaction step by step, from the October snow all the way to winter weather. Below is the result, comparing the original study years with the years since.

Step by step test of the snow to Polar Vortex chain reaction, showing where the link breaks before and after 2011

The later part of the chain works in both periods. If more energy flows up into the stratosphere in November and December, the Polar Vortex weakens in January and February, and the winter weather tends to follow. This is solid, well-known physics, and it is exactly what we watch every winter.

The weaker point is at the very start. The original study linked October snow to a stronger Siberian high-pressure zone, but that link has weakened since. In essence, the stratospheric Polar Vortex still responds to energy from below, but Siberian snow no longer reliably sends it in recent years.

Even in the original study years, the stronger Siberian High did not clearly send more energy upward. So while the snow and the winter AO moved together, the link did not clearly run through the stratosphere, as the main theory suggests.

Below is the best way to visualize it. After a fast October snow advance, cold-pattern winters were barely more common than after a slow one. But when more energy went up into the stratosphere in November and December, a disrupted Polar Vortex became twice as likely.

October snow barely changes the odds of a cold winter, while more upward energy in Nov and Dec doubles weak vortex odds

I have two possible explanations for what happened: The first is that the strong 1997-2010 connection was partly a lucky streak, boosted by the extreme 2009/2010 winter. The second is that the connection was real, but the surrounding conditions have changed. The data leans slightly toward the first, but neither can be ruled out.

Rapid Arctic sea ice loss, warmer oceans, and shifts in the Siberian High may have changed how the atmosphere responds to snow advance in recent years. Earlier research going back over a century of data has also found that this link tends to come and go over the decades, so it may return in the future.

Part of the snow signal may even come from the Pacific, as fast snow advances have tended to happen slightly more often in developing El Niño years.
 

What About Winter in the United States, Canada, and Europe?

 

The AO (and Polar Vortex) is a big, hemisphere-wide feature. But what really matters to most of us is the weather in our backyard. So I checked whether October snow advance helps predict winter temperatures, snowfall, and rain in 11 regions across North America and Europe. Below are the most interesting results:

Regional winter links to October snow advance in the United States, Canada and Europe, before and since 2011

During the original study period, several regions showed a clear link. Winters in the eastern United States were noticeably colder after rapid snow advances, and winter rain in southwestern and northern Europe aligned well, too. But since 2011, all of these links have broken down.

Out of 44 regional checks for the years since 2011, only one showed a real signal. The only region with a hint of a long-term link is Western Canada, but even there it is not strong enough to be useful for forecasting.

 

October and Winter 2026/2027: A Slow Start, With a Fast Snow Surge to Follow?

 

So what is happening this year? Below is the daily snow cover across Eurasia this October. The dark blue line shows the satellite observations for the first week, and the red dashed line is the latest ECMWF forecast through October 22. The grey band shows the normal development range.

Eurasian snow cover in October 2026 from satellite data and the ECMWF forecast, compared with similar past years

The first week of October was a bit slower than normal. But the forecast shows a big surge of snow coming in the next two weeks. If it verifies, this would be one of the faster October snow advances of the last three decades, roughly in the top 15% for this period of the month.

Keep in mind that this is still an early look, as most of the data comes from the ECMWF forecast, which updates several times per day. The true final number will only be known after October 31.

So, what happened with winter after similar October snow advances in the past? Below are the six years with the most similar October snow advances so far, and the winter AO that followed.

Winter AO after the six Octobers most similar to 2026, with three negative, one neutral and two positive winters

The following winter AO was negative three times, near neutral once, and positive twice. Three of these years, 2002, 2019, and 2023, also had active El Niño, like this year, but they still produced three very different winters. So on its own, a fast snow advance this October tells us little about the coming winter in the modern era.
 

What Really Matters for Winter 2026/2027

 
So, should you worry about, or hope for, a cold winter because of Siberian snow? The first answer is, not really. A fast October snow advance does not guarantee a cold winter, and a slow one does not rule it out. The famous signal worked for a while, but it has not worked to predict the AO mode since it was discovered.

This does not mean winter is completely unpredictable. This research also confirmed which signals really work. The amount of energy flowing up into the stratosphere in November and December is a strong early warning for a disrupted Polar Vortex in mid-winter, and we will watch it closely as winter approaches.

And this year, we have a much bigger player on the field: the ongoing Super El Niño. We understand its influence on the jet stream, storm tracks, and the Polar Vortex much better, and it will shape Winter 2026/2027 more than the snow in Siberia. Below is the latest ocean analysis that reveals the very strong Super El Niño anomaly in the Pacific.

Ocean temperature anomaly in October 2026 showing the Super El Niño in the Pacific, based on NOAA Coral Reef Watch data

And this is where the Polar Vortex comes in. Below is a winter atmosphere simulation from a recent study (linked below) that compared the Polar Vortex impact of El Niño (EN) across different strengths: weak (W), moderate (M), and strong (S). As you can see in the right panel, a strong El Niño shows a significant stratospheric deceleration of the Polar Vortex.

Model study of Polar Vortex winds in weak, moderate and strong El Niño winters, with the biggest slowdown in strong events

We see this same signal in the latest ECMWF seasonal forecast for Polar Vortex strength, measured by winds high in the stratosphere. The black line is the main forecast average, and the red line is the model’s long-term normal (hindcast). This forecast shows the same deceleration as in the study image above, with a strong below-normal wind signal indicating a weaker Polar Vortex in mid and late winter.

ECMWF forecast of Polar Vortex winds at 10mb, showing a slowdown into January 2027 below the long-term average

The forecast keeps the Polar Vortex near normal into mid-December. But from late December, the average drops well below normal, and many members show the winds reversing completely. That is the sign of a Sudden Stratospheric Warming, a sudden collapse of the Polar Vortex. This fits well with a strong El Niño, which tends to weaken the Polar Vortex in the second half of winter.

Below is the same forecast seen from a different angle. It shows the air pressure anomalies over the Arctic, from the stratosphere at the top down to the surface at the bottom. Warm colors mean higher pressure and a weaker Polar Vortex.

ECMWF forecast of Arctic pressure anomalies, with a weak Polar Vortex spreading down in January and February 2027

You can see the high pressure starting high up in late December and slowly working its way down through January and February. When that happens, the cold Arctic air is more likely to spill south into the United States, Canada, or Europe. This is a seasonal forecast, so it shows a higher chance, not a guarantee, but it is exactly the kind of signal we will be watching closely in the coming weeks.

The image below shows the average temperature anomaly in the first 30 days after major Polar Vortex disruption or collapse events. On average, colder conditions become more likely across large parts of the United States and northern and central Europe. This is just an average pattern from many collapse events, and a Super El Niño can alter the actual flow of cold air with its own pressure anomalies.

Average temperature in the 30 days after Polar Vortex collapse events, colder over much of the United States and Canada

This is a very similar pattern that we also saw last winter over the United States, with a disrupted lower Polar Vortex core moving into North America. It established the “Polar Express” pattern, the same as seen in the image above.

The ECMWF temperature forecast for mid-to-late winter currently shows a colder anomaly trend for the central, southern, and eastern United States, and warm in the north and into southern Canada.

This is a clear Super El Niño temperature pattern, with an amplified Pacific jet stream. The active storm track keeps temperatures cooler across the southern United States because of persistent cloud cover and precipitation.

ECMWF February 2027 temperature forecast for the United States, colder in the south and central states and mild in the north

Over Europe, the mid-to-late winter trend shows mostly a milder flow into the continent, with the colder air reserved over the northern parts. For now, Europe does not show the usual cold response to a weak Polar Vortex, so if the vortex weakens as forecast, the cold is currently more likely to target the United States.

ECMWF February 2027 temperature forecast for Europe, mild across most of the continent and colder in Scandinavia

A new study published in September 2026 by Songmiao Fan and Judah Cohen suggests that snowy Octobers in Eurasia may be followed by more frequent “stretched” Polar Vortex patterns, which can bring long cold spells to the eastern United States. But this is a different question from the one I tested here, and an interesting one for a future research article.
 

A Data Warning on Missing Snow

 
While doing this research, I found something important for anyone working with weather reanalysis data. In the standard ERA5 dataset, October snow cover across Eurasia suddenly drops by about 40% in 2004. Of course, Siberia did not lose that much snow overnight.

Comparing ERA5 with an independent dataset (NOAA CORe) showed that the drop is specific to ERA5. Its timing matches when the ECMWF reanalyses started using satellite snow maps. The missing snow was mostly in the Siberian lowlands and forests between 50°N and 70°N. ERA5-Land, NOAA CORe, and the satellite data all confirmed the main results, so the conclusions above are not affected.
 

Peer-Reviewed Research Used in This Article

 

Latest Winter 2026/2027 Forecast Update: Winter Forecast: New October Data Shows a Colder, Snowier U.S. Shift

Super El Niño 2026: The Super El Niño is Breaking Records, With Winter 2026/2027 Weather Impacts Ahead

Data I used for this article: ERA5 and ERA5-Land (Copernicus C3S/ECMWF), NOAA IMS 24 km (NSIDC), NOAA CORe, NOAA CPC Arctic Oscillation and Niño 3.4 monthly analyses

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