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SEASON90Forecast SeasonSeasonal Outlooks · U.S. · Europe · Global
Forecast Season/The Polar Vortex
Route 13 · Stratosphere

The Polar Vortex

Twenty kilometres up, one ring of wind decides how much of the Arctic's cold the mid-latitudes actually get. When it breaks down, the surface follows within a fortnight and stays followed for a month. This route asks whether a seasonal model can see that coming — and publishes the answer either way.

SEASON90

Major warming

94 %
of 51 members show at least one reversal between 2026-10-02 and 2027-05-04

This model's normal

76 %
what SEAS5 produces in an average winter over the same window — the number the one on the left has to be read against

What actually happens

50 %
share of ERA5 winters with a major warming over the same window, 24 years

Provisional

0
member-forecasts whose warming falls too late in the run to prove it was not the vortex's annual spring breakdown

What SEAS5 says, initialised October 2026

reversal — a member below this line is forecasting a sudden warming-15-21225395210111201020304
U60 — zonal-mean zonal wind at 10 hPa, 60°N (m s⁻¹). The band is the 10th-90th percentile of the members, the solid line the ensemble median, the dashed line the model's own lead-day climatology from the reforecast.
-471727374710111201020304
Eddy heat flux v′T′ at 100 hPa, 45–75°N — the wave driving (K m s⁻¹). The band is the 10th-90th percentile of the members, the solid line the ensemble median. This field has no dashed climatology line because the reforecast behind this route carries only wind and temperature, so there is no model climatology to draw it against — the values are absolute.

When, if it happens

MonthShare of members whose warming falls here
December 202620%
January 202753%
February 202729%
March 202716%

The QBO underneath

LevelDJF ensemble meanMember rangeWesterly in
10 hPa-21.9-24.5 to -20.00%
30 hPa+7.8+5.5 to +10.4100%
50 hPa+4.9+3.5 to +7.1100%
100 hPa+2.4+0.2 to +4.2100%

At 30 hPa the ensemble puts the coming winter in the westerly phase, at the 70th percentile of the 67 winters in the ERA5 record. Note the agreement: every member on the same side of zero. The QBO is a slow, nearly deterministic oscillation, and it is the one thing in this whole route a seasonal model genuinely knows seven months out.

Which matters because of Holton–Tan: warmings are more common when the equatorial wind is easterly. In the observed record, westerly winters had a major warming in 12 of 28 (43%), against 54% overall — so this phase leans toward fewer warmings. Lean gently: a two-sided Fisher exact test on that split gives p = 0.15. The direction is textbook; the size, from sixty-odd winters, is not a number to plan around. The catalogue behind it →

What it delivers at the ground

These are raw model counts, and they are not calibrated. There is no reforecast behind the surface fields, so there are no tercile probabilities, no correction for the model's own bias, and no skill score — which is why this is a section of route 13 and not a route of its own. Read the numbers against each other, not against normal: the spread between members is real information, the absolute level carries whatever bias SEAS5 has and nothing here removes it. Every threshold is an absolute physical one for the same reason — a percentile would need a climatology this route does not have, and would hide the bias inside the definition instead of leaving it visible.

RegionNov 2026Dec 2026Jan 2027Feb 2027Mar 2027
US NortheastNights below −10 °C00 0–10 0–51 0–40 0–1
Nights below 0 °C1 0–413 5–1922 14–2821 14–2613 7–20
Days with ≥5 mm w.e. of snow00 0–21 0–31 0–21 0–2
Snowfall, mm water equivalent6 2–1320 13–3529 16–5025 16–4220 11–32
US MidwestNights below −10 °C02 0–810 2–207 1–160 0–6
Nights below 0 °C10 3–1726 20–3131 27–3127 23–2820 13–27
Days with ≥5 mm w.e. of snow00 0–10 0–10 0–20 0–1
Snowfall, mm water equivalent10 4–2122 12–3426 14–3725 12–3616 10–28
US SoutheastNights below −10 °C00000
Nights below 0 °C00000
Days with ≥5 mm w.e. of snow00000
Snowfall, mm water equivalent0 0–01 0–33 0–72 0–50 0–2
US WestNights below −10 °C000 0–300
Nights below 0 °C5 0–1218 12–2825 18–3023 15–2815 7–20
Days with ≥5 mm w.e. of snow000 0–100
Snowfall, mm water equivalent12 6–2423 16–3231 21–4828 21–3926 17–35
UK & IrelandNights below −10 °C00000
Nights below 0 °C000 0–30 0–30
Days with ≥5 mm w.e. of snow00000
Snowfall, mm water equivalent0 0–22 1–55 1–114 2–133 1–9
NW EuropeNights below −10 °C000 0–50 0–50
Nights below 0 °C5 1–1413 2–2120 8–3019 9–2714 6–22
Days with ≥5 mm w.e. of snow000 0–10 0–10
Snowfall, mm water equivalent10 4–2016 7–2521 10–4121 12–3718 8–28
ScandinaviaNights below −10 °C00 0–56 0–186 0–180 0–6
Nights below 0 °C18 7–2527 19–3031 27–3128 26–2830 27–31
Days with ≥5 mm w.e. of snow00000
Snowfall, mm water equivalent24 14–3236 27–4341 32–5037 26–4633 24–44
Eastern EuropeNights below −10 °C00 0–75 0–175 0–160 0–4
Nights below 0 °C10 3–2022 12–2928 23–3127 23–2822 15–29
Days with ≥5 mm w.e. of snow00000
Snowfall, mm water equivalent11 4–2119 10–3031 17–4126 18–3820 9–29
Nor'easter corridor (US East Coast and the western Atlantic)Days below 980 hPa0 0–11 0–32 0–42 0–42 0–4
North Atlantic storm trackDays below 980 hPa11 5–1714 7–2515 8–2010 5–159 3–15
North Pacific storm trackDays below 980 hPa17 11–2326 19–2927 21–3123 14–2621 14–26
US West Coast (127.5°W)Days with IVT ≥ 500 kg m⁻¹ s⁻¹5 2–96 4–107 3–125 1–83 1–6
Iberia to Britain (12.5°W)Days with IVT ≥ 500 kg m⁻¹ s⁻¹10 5–1511 5–159 5–137 3–115 2–8

Median of the 51 members, with the 10th–90th percentile beside it. Cold and snow counts are taken on the area mean of each box, so a night below −10 °C is a regional outbreak rather than one cold grid cell; storms are the box minimum pressure, because a deep low is a local object and averaging it away would be exactly wrong. Atmospheric rivers are integrated vapour transport across a landfall gate, computed through five pressure levels rather than from column moisture and a surface wind.

Every winter it has been asked about

One winter cannot separate the model was wrong about that winter from the model is always like this. This is the same measurement made over 33 winters and 99 initialisations, which can.

InitialisedWintersAny reversal in the windowConfirmed warmings onlyDJF U60
Obs.Model PBSSROCObs.Model PBSSROCACCBiasRMSE
1 August3352%68%-0.0590.5233%50%-0.0930.500.28–0.71 · p 0.50+0.25-4.211.3
1 September3376%85%+0.0380.6255%71%-0.0300.580.38–0.78 · p 0.22+0.29-4.911.5
1 October3355%77%-0.1730.5355%77%-0.1730.530.33–0.73 · p 0.37+0.13-4.911.7

ROC area is the one to read first. It asks whether the model put a higher probability on the winters that had a warming than on the winters that did not — 0.50 is no discrimination at all, and a forecast can look confident and score 0.50 by saying the same thing every year. BSS below zero means the probability was worse than issuing the climatological rate. Dimmed cells are the ones that failed. Bias and RMSE are on DJF-mean U60 in m s⁻¹, and a large negative bias means the model runs a weaker vortex than the atmosphere did.

The two halves are the same winters, counted twice, and the difference is a warning rather than a detail. The left half counts every reversal of the 10 hPa wind at 60°N inside the initialisation’s own window. A later initialisation runs that window further into spring, and a reversal in late March may be the vortex’s final warming for the year rather than a mid-winter one. Telling those apart needs ten westerly days back before 30 April, which a window ending in early April cannot supply, so they are marked provisional — 16 of them here. The right half drops them from both sides, observed and modelled.

1 October is the control. Its window runs to early May, past the 30 April recovery test, so every reversal it sees can be classified and it has nothing marked provisional — and its two halves come out identical, which is what says the reclassification above is arithmetic rather than opinion. Its fully resolved rate also matches what 1 September finds once the unconfirmable events are dropped, which is the second thing that would not line up if the flag were wrong.

Read the ranges, not the ranking. The best confirmed score on this page is 1 September at 0.58, whose bootstrap range over these winters is 0.38–0.78 and whose p against shuffled outcomes is 0.22 — a model carrying no information at all would score at least that high about 22 times in a hundred. No initialisation month clears the no-discrimination line. The gaps between the months are smaller than any one month’s own uncertainty, so this page does not rank them — an earlier version did, and was wrong twice.

InitialisedOutcomeShowing 99 of 99 rows
Probability<50%50–6060–7070–8080–90≥90%
DJF U60 vs the 29 m s⁻¹ average of these winters≥15 stronger10–155–10±55–1010–15≥15 weaker
Model − observed (m s⁻¹)≥15 too strong7.5–152.5–7.5±2.52.5–7.57.5–15≥15 too weak
Members as strong as observednone<20%20–4040–6060–80≥80%
1993/941 Augreforecast · 2572%52%○ no✗ wrong side+23.2+28.4-5.25/25
1993/941 Sepreforecast · 25100%88%○ no✗ wrong side+21.2+28.4-7.24/25
1993/941 Octreforecast · 2576%76%○ no✗ wrong side+21.3+28.4-7.15/25
1994/951 Augreforecast · 2568%36%○ no✗ wrong side+27.1+31.0-3.98/25
1994/951 Sepreforecast · 2572%48%○ no✗ wrong side+28.7+31.0-2.210/25
1994/951 Octreforecast · 2568%68%○ no✗ wrong side+28.7+31.0-2.39/25
1995/961 Augreforecast · 2548%32%○ no✓ right side+26.2+42.0-15.80/25 ⚠
1995/961 Sepreforecast · 2588%72%○ no✗ wrong side+23.5+42.0-18.50/25 ⚠
1995/961 Octreforecast · 2576%76%○ no✗ wrong side+23.9+42.0-18.10/25 ⚠
1996/971 Augreforecast · 2564%44%○ no✗ wrong side+26.4+35.9-9.54/25
1996/971 Sepreforecast · 2580%68%○ no✗ wrong side+23.8+35.9-12.01/25
1996/971 Octreforecast · 2576%76%○ no✗ wrong side+25.0+35.9-10.93/25
1997/981 Augreforecast · 2584%52%○ no✗ wrong side+23.1+20.2+2.917/25
1997/981 Sepreforecast · 2588%76%◐ yes*✓ right side+22.9+20.2+2.717/25
1997/981 Octreforecast · 2584%84%○ no✗ wrong side+21.5+20.2+1.311/25
1998/991 Augreforecast · 2580%80%◐ yes*✓ right side+21.9+19.4+2.517/25
1998/991 Sepreforecast · 2592%80%● yes✓ right side+22.9+19.4+3.516/25
1998/991 Octreforecast · 2568%68%● yes✓ right side+23.1+19.4+3.714/25
1999/001 Augreforecast · 2560%44%○ no✗ wrong side+26.3+43.0-16.70/25 ⚠
1999/001 Sepreforecast · 2572%60%● yes✓ right side+25.7+43.0-17.31/25
1999/001 Octreforecast · 2576%76%● yes✓ right side+24.9+43.0-18.11/25
2000/011 Augreforecast · 2580%48%◐ yes*✓ right side+22.5+16.5+6.021/25
2000/011 Sepreforecast · 2588%72%● yes✓ right side+22.4+16.5+5.820/25
2000/011 Octreforecast · 2568%68%● yes✓ right side+25.2+16.5+8.722/25
2001/021 Augreforecast · 2564%48%● yes✓ right side+26.5+15.3+11.224/25
2001/021 Sepreforecast · 2584%72%● yes✓ right side+24.5+15.3+9.224/25
2001/021 Octreforecast · 2556%56%● yes✓ right side+24.0+15.3+8.719/25
2002/031 Augreforecast · 2556%32%● yes✓ right side+27.6+24.0+3.517/25
2002/031 Sepreforecast · 2580%56%● yes✓ right side+26.0+24.0+1.916/25
2002/031 Octreforecast · 2576%76%● yes✓ right side+25.4+24.0+1.410/25
2003/041 Augreforecast · 2556%40%● yes✓ right side+25.6+14.2+11.422/25
2003/041 Sepreforecast · 2584%68%● yes✓ right side+21.9+14.2+7.722/25
2003/041 Octreforecast · 2556%56%● yes✓ right side+26.4+14.2+12.124/25
2004/051 Augreforecast · 2572%56%○ no✗ wrong side+24.8+43.7-18.80/25 ⚠
2004/051 Sepreforecast · 2576%60%◐ yes*✓ right side+23.7+43.7-19.90/25 ⚠
2004/051 Octreforecast · 2580%80%○ no✗ wrong side+21.8+43.7-21.90/25 ⚠
2005/061 Augreforecast · 2588%64%● yes✓ right side+22.6+12.7+9.925/25
2005/061 Sepreforecast · 2592%72%● yes✓ right side+22.7+12.7+10.023/25
2005/061 Octreforecast · 2588%88%● yes✓ right side+23.4+12.7+10.724/25
2006/071 Augreforecast · 2568%36%◐ yes*✓ right side+25.4+34.5-9.24/25
2006/071 Sepreforecast · 2584%76%● yes✓ right side+26.2+34.5-8.45/25
2006/071 Octreforecast · 2576%76%● yes✓ right side+23.6+34.5-11.00/25 ⚠
2007/081 Augreforecast · 2580%48%◐ yes*✓ right side+24.3+32.6-8.33/25
2007/081 Sepreforecast · 2576%64%● yes✓ right side+26.7+32.6-5.95/25
2007/081 Octreforecast · 2576%76%● yes✓ right side+25.9+32.6-6.74/25
2008/091 Augreforecast · 2556%48%● yes✓ right side+25.2+20.5+4.816/25
2008/091 Sepreforecast · 2580%68%● yes✓ right side+22.8+20.5+2.414/25
2008/091 Octreforecast · 2580%80%● yes✓ right side+22.4+20.5+2.015/25
2009/101 Augreforecast · 2564%52%◐ yes*✓ right side+24.0+23.7+0.312/25
2009/101 Sepreforecast · 2596%92%◐ yes*✓ right side+21.3+23.7-2.59/25
2009/101 Octreforecast · 2588%88%● yes✓ right side+20.0+23.7-3.77/25
2010/111 Augreforecast · 2560%40%○ no✗ wrong side+28.7+39.5-10.85/25
2010/111 Sepreforecast · 2572%60%○ no✗ wrong side+26.9+39.5-12.71/25
2010/111 Octreforecast · 2568%68%○ no✗ wrong side+24.1+39.5-15.42/25
2011/121 Augreforecast · 2544%40%○ no✓ right side+26.0+24.8+1.316/25
2011/121 Sepreforecast · 2580%64%○ no✗ wrong side+25.3+24.8+0.511/25
2011/121 Octreforecast · 2572%72%○ no✗ wrong side+25.0+24.8+0.211/25
2012/131 Augreforecast · 2564%48%● yes✓ right side+27.1+12.6+14.525/25
2012/131 Sepreforecast · 2592%76%● yes✓ right side+25.0+12.6+12.425/25
2012/131 Octreforecast · 2580%80%● yes✓ right side+23.0+12.6+10.423/25
2013/141 Augreforecast · 2584%64%○ no✗ wrong side+24.0+39.8-15.90/25 ⚠
2013/141 Sepreforecast · 2588%76%◐ yes*✓ right side+23.7+39.8-16.10/25 ⚠
2013/141 Octreforecast · 2568%68%○ no✗ wrong side+27.0+39.8-12.92/25
2014/151 Augreforecast · 2580%52%○ no✗ wrong side+24.0+29.1-5.08/25
2014/151 Sepreforecast · 2592%84%◐ yes*✓ right side+20.7+29.1-8.41/25
2014/151 Octreforecast · 25100%100%○ no✗ wrong side+20.3+29.1-8.83/25
2015/161 Augreforecast · 2580%60%○ no✗ wrong side+23.8+45.2-21.50/25 ⚠
2015/161 Sepreforecast · 2596%84%◐ yes*✓ right side+22.4+45.2-22.80/25 ⚠
2015/161 Octreforecast · 2588%88%○ no✗ wrong side+23.9+45.2-21.30/25 ⚠
2016/171 Augreforecast · 2572%68%○ no✗ wrong side+22.5+29.7-7.24/25
2016/171 Sepreforecast · 2592%84%○ no✗ wrong side+20.3+29.7-9.45/25
2016/171 Octreforecast · 2576%76%○ no✗ wrong side+22.3+29.7-7.35/25
2017/181 Augreal-time · 5180%67%◐ yes*✓ right side+21.7+24.0-2.318/51
2017/181 Sepreal-time · 5192%82%● yes✓ right side+20.9+24.0-3.012/51
2017/181 Octreal-time · 5184%84%● yes✓ right side+20.4+24.0-3.615/51
2018/191 Augreal-time · 5165%49%● yes✓ right side+25.6+15.5+10.145/51
2018/191 Sepreal-time · 5190%76%● yes✓ right side+23.3+15.5+7.844/51
2018/191 Octreal-time · 5175%75%● yes✓ right side+26.3+15.5+10.847/51
2019/201 Augreal-time · 5159%39%○ no✗ wrong side+26.4+41.9-15.41/51
2019/201 Sepreal-time · 5176%55%○ no✗ wrong side+28.2+41.9-13.73/51
2019/201 Octreal-time · 5180%80%○ no✗ wrong side+26.9+41.9-15.02/51
2020/211 Augreal-time · 5163%47%● yes✓ right side+22.8+18.8+4.036/51
2020/211 Sepreal-time · 5180%61%● yes✓ right side+25.2+18.8+6.436/51
2020/211 Octreal-time · 5176%76%● yes✓ right side+24.1+18.8+5.333/51
2021/221 Augreal-time · 5171%65%○ no✗ wrong side+22.9+45.9-23.00/51 ⚠
2021/221 Sepreal-time · 5188%65%◐ yes*✓ right side+21.7+45.9-24.20/51 ⚠
2021/221 Octreal-time · 5182%82%○ no✗ wrong side+22.4+45.9-23.50/51 ⚠
2022/231 Augreal-time · 5169%57%◐ yes*✓ right side+23.7+30.7-7.05/51
2022/231 Sepreal-time · 5173%65%● yes✓ right side+24.9+30.7-5.814/51
2022/231 Octreal-time · 5180%80%● yes✓ right side+25.5+30.7-5.211/51
2023/241 Augreal-time · 5175%55%● yes✓ right side+20.3+21.4-1.121/51
2023/241 Sepreal-time · 5196%84%● yes✓ right side+22.8+21.4+1.427/51
2023/241 Octreal-time · 5184%84%● yes✓ right side+24.8+21.4+3.429/51
2024/251 Augreal-time · 5163%51%○ no✗ wrong side+26.4+49.0-22.60/51 ⚠
2024/251 Sepreal-time · 5169%59%◐ yes*✓ right side+26.7+49.0-22.30/51 ⚠
2024/251 Octreal-time · 5163%63%○ no✗ wrong side+25.7+49.0-23.30/51 ⚠
2025/261 Augreal-time · 5167%53%◐ yes*✓ right side+23.2+24.8-1.621/51
2025/261 Sepreal-time · 5190%80%● yes✓ right side+22.8+24.8-2.020/51
2025/261 Octreal-time · 5188%88%● yes✓ right side+21.7+24.8-3.114/51

One row per initialisation per winter; click any column heading to sort by it, and again to reverse. yes* marks an observed reversal the window could not resolve — it may be the vortex's annual final warming rather than a mid-winter one. Call is whether the any-reversal probability fell on the right side of a half. Every colour has its number printed in the cell: on the vortex columns warm means weaker — the direction of the physics, where a weak vortex is a warm polar cap. ⚠ marks a winter in which no member was as strong as the atmosphere. Reforecast rows carry 25 members and real-time rows 51: scored the same way, but not the same instrument.

How this is built

A major sudden stratospheric warming is defined here exactly as Charlton and Polvani (2007) define it, which is the definition the field settled on: the zonal-mean zonal wind at 10 hPa and 60°N turns easterly between 1 November and 31 March; two events must be separated by twenty westerly days; and the wind must return westerly for ten consecutive days before 30 April, which is what separates a midwinter warming from the vortex's annual spring death. That last rule is quietly load-bearing — without it the record shows a warming in every single winter and the quantity stops meaning anything.

The indices are not computed here. They come from polarvortex.earth's strat_indices, which defines them once for whatever produced the field — ERA5 out of a cloud archive, ECMWF's analysis out of a GRIB, and SEAS5 out of the Copernicus seasonal originals. Three roads, one U60.

Anomalies are against the model's own lead-day climatology, never against ERA5. SEAS5's stratosphere drifts with lead time, and measured against a reanalysis that drift would appear in every forecast as a slow trend in vortex strength that is not in the atmosphere at all.

Model and observations are counted over the same window. An August initialisation runs out in early March and physically cannot see a late-March warming; charging it for that miss would be scoring it on a question it was never asked. Where a forecast ends before an event can demonstrate its recovery, the event is reported as provisional rather than dropped or silently counted.

Data: ECMWF SEAS5 (system 51) daily geopotential, temperature and wind at 10, 50 and 100 hPa from the Copernicus seasonal originals, 51 members forward and 25 × 24 years of reforecast behind; ERA5 for verification. Not an official forecast product.