Tide times in Schillig — Lower Saxony, Germany
Lower Saxony, Germany
Sun 8 Mar
| Time | Height | Type |
|---|---|---|
| 04:14 | 6.41m | High tide |
| 10:42 | 3.14m | Low tide |
| 16:27 | 6.28m | High tide |
| 22:54 | 3.13m | Low tide |
This week
| Date | High tide | Low tide |
|---|---|---|
| Tue 3 Mar | 01:15 (6.33m) / 13:47 (6.06m) | 07:47 (3.03m) / 20:02 (3.23m) |
| Wed 4 Mar | 01:58 (6.44m) / 14:24 (6.12m) | 08:29 (2.99m) / 20:42 (3.15m) |
| Thu 5 Mar | 02:37 (6.48m) / 14:58 (6.16m) | 09:07 (3.02m) / 21:19 (3.11m) |
| Fri 6 Mar | 03:12 (6.48m) / 15:30 (6.21m) | 09:41 (3.06m) / 21:53 (3.09m) |
| Sat 7 Mar | 03:45 (6.45m) / 16:00 (6.25m) | 10:13 (3.10m) / 22:25 (3.10m) |
| Sun 8 Mar | 04:14 (6.41m) / 16:27 (6.28m) | 10:42 (3.14m) / 22:54 (3.13m) |
| Mon 9 Mar | 04:42 (6.35m) / 16:56 (6.27m) | 11:10 (3.20m) / 23:23 (3.20m) |
| Tue 10 Mar | 05:14 (6.25m) / 17:32 (6.21m) | 11:40 (3.31m) / 23:57 (3.34m) |
| Wed 11 Mar | 05:54 (6.09m) / 18:16 (6.08m) | 12:15 (3.47m) |
| Thu 12 Mar | 06:46 (5.88m) / 19:14 (5.92m) | 00:41 (3.52m) / 13:01 (3.68m) |
Location information
Nearby tide stations
Hooksielplate
7.5 km away
Mellumplate
8.6 km away
Jadeweserport
12.7 km away
Wangerooge
14.1 km away
Wangeroogenord
14.2 km away
Wangeroogewest
14.6 km away
Tide times in Schillig
Discover the tide patterns in Schillig. Essential data for all water sports enthusiasts and fishermen.
Make the most of Schillig's coastal environment with these tide-dependent activities:
High tide
Explore coastal caves and hidden spots
Calm waters perfect for SUP sessions
Best conditions for safe swimming with deeper water
Low tide
Capture unique coastal landscapes
Explore tidal pools teeming with marine life
Find crabs in rocky areas
Understanding tides at Schillig helps you stay safe and make the most of your visit. Tides follow a roughly 12-hour cycle, with two high tides and two low tides each day.
Be aware of local conditions at Schillig. Some areas can become inaccessible during high tide.
Our tide predictions for Schillig are calculated using astronomical data and local observations for maximum accuracy.