Atsumi Onsen
あつみ温泉 · Yamagata
Atsumi Onsen (あつみ温泉) is a nationally designated onsen town in Yamagata. We measured how much snow its winters bring, using the same method as for the 3,108 ski areas on this site.
Snowfall in winter
| Per season | 503 cm |
| Rank | 3 of 77 ranked onsen |
| Within prefecture | 1 of 8 in Yamagata |
| Against the median of 77 | +384 cm median 119 cm |
| Season to season | 270 cm 378–648 cm across three winters |
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We do not link to an official site. We have not verified URLs for all 79 towns, and guessing would send you somewhere wrong. They will be added once checked.
How this place came to be
Atsumi claims twelve centuries. The founding stories disagree: in one, someone finds a wounded crane healing itself in the water; in another, Kobo Daishi is told where to dig by a child who appears in a dream. A third account has the spring breaking out of the Atsumi river in 849 during volcanic activity on Mount Atsumi.
Under the Edo-period Sakai lords of the Shonai domain a bath administration office was set up here and the town was organised around cures. Basho came, and later Yosano Akiko and Yokomitsu Riichi.
It is about 3 km from the Sea of Japan — and despite sitting almost on the coast, it is the third snowiest of the 79 towns we measured.
Sources: あつみ観光協会 · やまがたへの旅（山形県公式観光サイト）
Ski areas nearby
Up to five within 40 km, straight-line, nearest first. Quality rank is out of the 395 Japanese ski areas.
| Ski area | Distance | Quality rank |
|---|---|---|
| Hachimoriyama Ski Area | 9 km | 390 of 395 |
| Budoh Snow Resort | 26 km | 253 of 395 |
| Hagurosan Ski Area | 36 km | 260 of 395 |
| Mount Gassan Ski Resort | 38 km | 21 of 395 |
About these snowfall figures
The snowfall shown here is an estimate produced by a weather model, not a record of what actually fell.
We compared it against 63 Japan Meteorological Agency weather stations to see how far off it is. On average it comes to about six tenths of the real figure — it runs low. And it runs low by different amounts in different places: some read barely a third of what was measured, others match almost exactly. Mountains tend to read lowest.
We tried scaling everything up by a fixed amount to correct for it. It barely helped, because the error differs from place to place.
So treat these numbers as a guide to roughly where somewhere sits, not a precise figure. There is no meaning in the gap between first and second, or between 30th and 35th. Large differences between regions are real and can be read as they are.
We are working on replacing these estimates with observed values.