Tue 3 Mar

☀️ Sunrise 07:09
🌙 Sunset 18:10
🌕 Moon phase Full Moon (99%)
Time Height Type
01:15 6.33m High tide
07:47 3.03m Low tide
13:47 6.06m High tide
20:02 3.23m 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 🌕 Full Moon (99%)

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

Kayaking

Explore coastal caves and hidden spots

Sailing

Ideal for boat departures and arrivals

Swimming

Best conditions for safe swimming with deeper water

Low tide

Shell collecting

Discover shells and sea treasures on exposed beaches

Rock pooling

Explore tidal pools teeming with marine life

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.