Fri 6 Mar

☀️ Sunrise 07:01
🌙 Sunset 18:16
🌖 Moon phase Waning Gibbous (95%)
Time Height Type
03:12 6.48m High tide
09:41 3.06m Low tide
15:30 6.21m High tide
21:53 3.09m 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

Coordinates 53.7006°, 8.048°
Timezone Europe/Berlin
Moon phase 🌖 Waning Gibbous (95%)

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

Swimming

Best conditions for safe swimming with deeper water

Cliff jumping

Safe water levels for experienced jumpers

Paddleboarding

Calm waters perfect for SUP sessions

Low tide

Shell collecting

Discover shells and sea treasures on exposed beaches

Crabbing

Find crabs in rocky areas

Beach walking

Extended sandy areas to explore

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.