Do Only Japanese Dive Shops Log Visibility Every Day? A Global Comparison
2026-03-10
Japanese dive shops log 'visibility: 15m' every single day. Globally, this is extraordinarily rare. Why does only Japan do this — and what does 46,000 data points make possible?
What Japanese Dive Shops Do (That Nobody Else Does)
Walk into almost any dive shop in Izu, Okinawa, or the Sea of Japan coast, and you'll find a website or blog updated daily with something like:
「本日の海況:透明度 15m、水温 22℃、波 0.5m」
("Today's conditions: visibility 15m, water temp 22°C, wave height 0.5m")
This practice — posting exact numerical visibility every diving day — has been going on for 10 to 15 years at many shops. The result is a rich time-series dataset that simply doesn't exist anywhere else in the world.
How the Rest of the World Does It
We surveyed dive shops in 9 major international destinations. The results were stark:
| Region | Daily log? | Numerical visibility? | Years of data |
|---|---|---|---|
| Japan (Izu) | ✓ | ✓ | 10+ years |
| Japan (Okinawa) | ✓ | ✓ | 10+ years |
| Thailand (Koh Tao) | ✗ | ✗ | — |
| Maldives | ✗ | ✗ | — |
| Philippines (Coron) | ✗ | ✗ | — |
| Australia (GBR) | ✗ | ✗ | — |
| Indonesia (Komodo) | ✗ | ✗ | — |
| Egypt (Red Sea) | ✗ | ✗ | — |
| Caribbean (Cozumel) | ✗ | ✗ | — |
International shops typically post trip reports, marine life photos, or monthly highlights — but rarely a number. Phrases like "great visibility" or "excellent conditions" appear, but quantified measurements are the exception, not the rule.
Why Japan? Our Best Theories
1. Intense Competition Between Shops
Japan has an unusually high density of dive shops relative to available sites. In Izu alone, dozens of shops compete for the same divers at the same spots. Detailed daily reports became a competitive differentiator — if your shop posts conditions and your competitor doesn't, divers will call you first.
2. Japan's Blogging Culture (2005–2015)
Japan's dive shop blog culture grew alongside the early web. Platforms like Livedoor Blog, Hatena Blog, and later WordPress became standard for small businesses. The daily update format was natural for these platforms — and dive shops adopted it enthusiastically.
3. Diver Expectations
Japanese divers are meticulous planners. They check conditions before booking, and they expect numbers. This created a positive feedback loop: shops that published data got more bookings, reinforcing the habit.
4. Japanese Measurement Culture
Japan has a strong cultural tendency toward precision and documentation in many fields. Quantifying something that could be described qualitatively ("clear") with a number (15m) fits this mindset naturally.
What This Data Makes Possible
Our database currently holds 46,000+ observations from 44 sites spanning up to 14 years. Here's what that makes possible:
| Site | Observations | Years of history |
|---|---|---|
| Yonaguni | 4,826 | 14 years |
| Futo | 3,493 | 11 years |
| Kushimoto | 3,168 | 10 years |
| IOP | 3,151 | 12 years |
| Hirasawa | 2,696 | 10 years |
| Echizen | 2,652 | 9 years |
With this data, we can train machine learning models that predict visibility 7 days ahead with R² = 0.82 accuracy at top sites. That's only possible because Japanese dive shops created a consistent, numerical, long-term record.
If similar data existed for Koh Tao or the Maldives, we could do the same for those destinations. But for now, no such dataset exists — making Japan's 46,000-entry database genuinely unique in the world.
Could This Change?
Apps like Deepblu, DiveBoard, and Subsurface allow divers to log visibility after dives — but these are diver-reported, post-hoc, and inconsistently filled. They're useful for spot checks but too sparse for time-series ML modeling.
Satellite data (Secchi depth from Copernicus CMEMS, Kd490 from NOAA) provides global coverage but measures ocean optics at the surface, not the underwater experience a diver actually sees. Both are features in our model, but they're inputs — not ground truth.
For now, the Japanese dive shop blog is an irreplaceable data source — a happy accident of culture, competition, and the early web that turned thousands of daily posts into the world's most detailed diving visibility database.
Explore the forecasts built on this data at our visibility forecast app.
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