Almost every aurora guide tells you to travel in winter, because the nights are long. That advice looks at darkness and ignores cloud. The two do not move together. In Tromso they move in opposite directions, and December, the month with the most darkness and the highest prices, has the worst sky of the entire season.
We know this because the data has been sitting in public archives for decades. Nobody in this business publishes it, which is understandable: it is not a number that helps you sell a December tour.
How often the sky is actually usable
The figures below count nights, not hours. A night counts as usable when at least two hours between 18:00 and 02:00 had cloud cover of 50% or less. Two hours, because a ten-minute gap in the clouds is not a night out. Fifty percent, because with more than half the sky covered a faint aurora is simply lost.
The source is ERA5, the reanalysis produced by the European Centre for Medium-Range Weather Forecasts. It covers eleven seasons, from September 2015 to April 2025. Anyone can recalculate these numbers from the same free archive, which is the point.
| Destination | Sep | Oct | Nov | Dec | Jan | Feb | Mar |
|---|---|---|---|---|---|---|---|
| Tromso | 34.0 | 31.9 | 20.0 | 16.8 | 23.5 | 23.3 | 28.4 |
| Reykjavik | 40.7 | 34.5 | 37.0 | 38.7 | 33.9 | 31.1 | 33.5 |
| Rovaniemi | 41.7 | 33.2 | 20.0 | 22.3 | 22.9 | 30.4 | 50.0 |
December is the worst month in Tromso, and it is peak season
16.8%. Roughly one night in six. That is the December figure for Tromso, and it is the lowest number anywhere in the table.
Meanwhile the darkness is at its theoretical maximum. During the polar night the sun does not rise at all, and every one of the eight hours in our window counts as full astronomical darkness. So the hours are there. The sky is not.
This is worth sitting with for a moment, because it inverts the standard advice. You are being told to come at the exact time when your odds of a clear sky are at their annual worst, and to pay high-season prices for the privilege. The tour operators are not lying to you. They are answering a different question: December has long nights, Christmas holidays and the most flights.
September and March beat midwinter almost everywhere
Look at the two ends of the table instead of the middle. September gives Tromso 34.0% and Rovaniemi 41.7%. March gives Rovaniemi 50.0%, the highest figure in the whole dataset, against 22.3% in December.
Both are shoulder season, so they cost less. There is also a physical reason the equinox months do well, and it has nothing to do with cloud: the Russell-McPherron effect, described in 1973. Near the equinoxes the interplanetary magnetic field lines up more favourably with Earth's own field, and geomagnetic storms are close to twice as common as they are around the solstices. So the two months with the best odds of a clear sky are also the two months with the best odds of something happening in it.
The catch, and it is a real one, is darkness. We cover it properly on the moon and darkness page, but the short version is that September in Tromso gives you only about 1.8 hours of true astronomical darkness per night. The month with the best sky has the least dark in it. Nobody tells you that either.
Reykjavik is the boring one, and boring is a feature
Reykjavik never tops the table and never bottoms it. It sits between 31.1% and 40.7% all season, a spread of about nine points. Tromso swings from 16.8 to 34.0 and Rovaniemi from 20.0 to 50.0, which is more than double, end to end.
If you have a week and can chase the weather, that volatility is fine and occasionally works in your favour. If you have one night, booked months ago, it is not. Consistency is worth more than a high ceiling when you only get one roll of the dice, and Reykjavik is the only one of the three that offers it.
A number worth comparing against
One Tromso operator advertises 60 to 70% cloud-free nights between 21 November and 15 February. ERA5 gives between 16.8% and 23.5% for that stretch. A factor of about four.
We do not think this is dishonesty. They are almost certainly counting something else, probably nights when the sky opened up at some point, over a period they do not state. And that is exactly the problem. A percentage with no stated metric and no stated source cannot be checked by anyone, and in this industry nearly all of them are like that.
Our numbers are not better than theirs because our data is better. They are better because you can go and reproduce them.
How we counted
| Choice | Value | Why |
|---|---|---|
| Source | ERA5 (ECMWF), via Open-Meteo | The standard reanalysis for climate work. Hourly since 1940, free, no API key |
| Window | 18:00 to 02:00 local | The hours tours actually operate |
| Usable sky | Cloud cover 50% or less | Above half cover, a weak aurora is lost |
| Good night | 2 or more usable hours | A night with a ten-minute gap is not a night out |
| Night attribution | 00:00-02:00 counts as the previous day | Otherwise a single night splits across two months at month boundaries |
| Period | 11 seasons, 2015-2025 | Long enough to flatten out freak years |
What these numbers do not tell you
Publishing the limits alongside the figure is the whole point. Without them we become the thing we are complaining about.
- ERA5 is a reanalysis on a grid of about 28 km, not the weather station at your exact spot. It is excellent for climate, useless as a forecast, and blind to a valley microclimate.
- The thresholds are choices. The 50% and the two hours are ours. Move them and the numbers move.
- Usable sky is not aurora seen. You also need geomagnetic activity. This tells you whether you could have seen it, not whether it was there.
- Tours move. A hunt will drive hundreds of kilometres for a hole in the cloud, so a fixed-point probability understates what a good guide can do. That is not a flaw in the data, it is the reason chases exist, and it is why an eight-hour hunt and a two-hour cruise are not the same purchase.
Why Tromso is the cloudy one
The numbers make more sense once you know where the cloud comes from, and the answer is the same thing that makes Tromso habitable in the first place.
Tromso sits at 69 degrees north, further north than most of Alaska, and its winters are far milder than that latitude has any right to produce. The North Atlantic Current carries warm water up the Norwegian coast and keeps the fjords ice-free through winter. That warm water sits under a constant procession of low pressure systems tracking in off the Atlantic, and those systems arrive loaded with moisture that has nowhere to go but up over the coastal mountains.
So the mildness and the cloud are the same phenomenon. You cannot have an ice-free port at 69 degrees north and a desert sky above it.
Move inland and the trade reverses. Rovaniemi is roughly 300 kilometres from the coast, behind the Scandinavian mountains, with a continental climate: colder, drier, and progressively clearer as the season goes on. That is why its March figure is the highest in our dataset while its November figure is among the lowest.
Reykjavik is a third case. It sits in the middle of the North Atlantic, so it is cloudy by default, but it has no mountain range upwind and no continental interior to swing between. The weather is unsettled and consistently unsettled, which is exactly what its narrow 31 to 41 percent band describes.
This is also the reason serious operators drive inland when the coast closes. From Tromso the standard move is south and east towards Skibotn and the Finnish border, where the mountains have already wrung the moisture out of the air. Guides do this routinely, and it is common enough that they will tell you to bring a passport.
Checking this against the national weather services
ERA5 is a reanalysis: a physical model of the atmosphere, run backwards over the historical record and constrained by the observations available at the time. It is not a set of measurements from a weather station in Tromso.
That distinction matters, and it cuts both ways. A station measures one point exactly; a reanalysis estimates a grid cell of roughly 28 kilometres, so it will smooth out a valley that is reliably clearer or cloudier than its surroundings. In exchange it gives complete, uniform, gap-free coverage of every location and every hour since 1940, which no station network on earth provides.
The three national meteorological institutes covering our destinations all publish their own observations and, in two cases, their own aurora forecasts: MET Norway, the Icelandic Met Office, which runs a dedicated aurora and cloud forecast, and the Finnish Meteorological Institute. If you want a forecast for a specific night, those are better sources than anything on this page. If you want to know which month to book, they are not, because a forecast does not extend to February when you are deciding in August.
The two answer different questions, and confusing them is how people end up planning a trip around a Kp reading.
Using this when you actually book
Three practical consequences follow from the table, and they are worth more than the individual percentages.
- Count nights, not tours. If a destination gives you a usable sky one night in four, then two nights roughly doubles your chance of at least one, and three nights makes a complete failure genuinely unlikely. This is the single highest-return decision available to you, and it costs less than upgrading to a premium tour.
- Let the destination follow the month, not the other way round. If you can only travel in March, Rovaniemi is the strongest option on this table. If you can only travel in December, Reykjavik is. Picking the place first and the date second is the more common approach and the weaker one.
- Treat any single fixed night as a gamble, and price it accordingly. That does not mean do not do it. It means do not pay a premium for a guarantee that will not fire, and consider putting the same money into a second attempt instead.
Questions this raises
Should I avoid December entirely?
No. One night in six is still a real chance, and a December trip usually has other reasons behind it. But go in knowing the odds, book more than one night if you can, and treat any single-night December booking as a gamble rather than a plan.
Is September really better than January?
For cloud, clearly: 34.0% against 23.5% in Tromso. For darkness, no, September is much worse. The honest answer is that September suits people who want decent odds of a clear sky and are happy with a short window each night, and January suits people who want long dark hours and will accept more cloud.
Why not just use a forecast?
Because you are booking months ahead. Weather forecasts are useful three to five days out. Climatology is what you have when the decision is made in August for a trip in February. On the night itself, use the national met service instead.
Do these figures apply to the whole country?
No, and not even to the whole region. They are calculated at the coordinates of each city, and cloud varies sharply over short distances in mountainous terrain. We measured a 20 point difference between Abisko and Kiruna, 90 km apart. Numbers for one place do not transfer to another.
What about Abisko and its blue hole?
We calculated it, and the result needs care. At the scale ERA5 can resolve, Abisko is the cloudiest location in our dataset. But the blue hole is described as 10 to 20 square kilometres and the model grid is about 28 km, so a real local window would be invisible to this method. Our figure neither confirms nor refutes it; it does show that the wider basin is cloudier than the marketing suggests. Detail on our page about the alternatives.
Why use a reanalysis instead of weather station records?
Because station records have gaps, move, change instruments, and do not exist at every location we care about. ERA5 gives uniform hourly coverage everywhere, which is what you need to compare destinations on the same basis. The cost is spatial smoothing over roughly 28 km, which is exactly the limitation the Abisko case runs into.
Could I reproduce these numbers myself?
Yes, and that is the point of publishing the method. The archive is free and needs no API key. The thresholds we used are stated above, so anyone applying them to the same coordinates and the same eleven seasons should land on the same figures.
Sources
- ERA5 reanalysis, produced by ECMWF for the EU Copernicus Climate Change Service. Dataset documentation at the Copernicus Climate Data Store, background at Copernicus.
- Historical weather archive used to query ERA5 hourly cloud cover: Open-Meteo, free and without an API key.
- MET Norway — national observations and forecasts for Norway: met.no.
- Icelandic Met Office — cloud cover and aurora forecast for Iceland: vedur.is.
- NOAA Space Weather Prediction Center — geomagnetic activity, which this page deliberately does not cover: swpc.noaa.gov.
- Russell, C. T. and McPherron, R. L. (1973), on the semiannual variation of geomagnetic activity, Journal of Geophysical Research, doi 10.1029/JA078i001p00092.
Data verified on. Recalculated from ERA5 (ECMWF) via Open-Meteo, September 2015 to April 2025. The script that produces these figures is re-run, not copied, when a destination is added.
Cloud is only half the calculation
The other half is darkness and moonlight, and unlike the weather those can be worked out exactly, years in advance.