11 September 2025 Observation History, [LSZH] Zurich, timezone: Europe/Zurich
Time | Wind (mph) |
Vis. (mi.) |
Sky Cond. (100s ft) |
Present Wx | Temperature (ºF) | Relative Humidity |
Pressure | Snow Depth (in) |
Precipitation (in.) | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Air | Dwpt | Feels Like | 6 hour | altimeter (in.) |
sea level (mb) |
1 hr | 3 hr | 6 hr | ||||||||
Max. | Min. | |||||||||||||||
12:20 AM | VRB 1 | 6.21 | FEW042 BKN050 | -RA | 55 | 55 | 55 | 100 | 29.825201 | 0 | ||||||
LSZH 102220Z AUTO VRB01KT 9999 -RA FEW042 BKN050 13/13 Q1010 NOSIG | ||||||||||||||||
12:50 AM | VRB 2 | 6.21 | FEW055 | 57 | 55 | 57 | 94 | 29.825201 | 0 | |||||||
LSZH 102250Z AUTO VRB02KT 9999 FEW055 14/13 Q1010 NOSIG | ||||||||||||||||
1:20 AM | SSE 5 | 6.21 | FEW055 | 57 | 55 | 57 | 94 | 29.825201 | 0 | |||||||
LSZH 102320Z AUTO 15004KT 9999 FEW055 14/13 Q1010 NOSIG | ||||||||||||||||
1:50 AM | SE 2 | 6.21 | FEW060 | 57 | 55 | 57 | 94 | 29.85473 | 0 | |||||||
LSZH 102350Z AUTO 14002KT 9999 FEW060 14/13 Q1011 NOSIG | ||||||||||||||||
2:20 AM | SE 6 | 6.21 | SCT050 | 57 | 55 | 57 | 94 | 29.85473 | 0 | |||||||
LSZH 110020Z AUTO 14005KT 9999 SCT050 14/13 Q1011 NOSIG | ||||||||||||||||
2:50 AM | SSE 6 | 6.21 | BKN060 | 57 | 55 | 57 | 94 | 29.85473 | 0 | |||||||
LSZH 110050Z AUTO 15005KT 9999 BKN060 14/13 Q1011 NOSIG | ||||||||||||||||
3:20 AM | SSE 5 | 6.21 | FEW042 OVC060 | -RA | 57 | 55 | 57 | 94 | 29.85473 | 0 | ||||||
LSZH 110120Z AUTO 15004KT 9999 -RA FEW042 OVC060 14/13 Q1011 NOSIG | ||||||||||||||||
3:50 AM | SE 7 | 6.21 | FEW041 BKN065 | -RA | 57 | 55 | 57 | 94 | 29.85473 | 0 | ||||||
LSZH 110150Z AUTO 14006KT 9999 -RA FEW041 BKN065 14/13 Q1011 RERA NOSIG | ||||||||||||||||
4:20 AM | SSE 3 | 6.21 | FEW050 BKN070 | 57 | 55 | 57 | 94 | 29.85473 | 0 | |||||||
LSZH 110220Z AUTO 15003KT 9999 FEW050 BKN070 14/13 Q1011 NOSIG | ||||||||||||||||
4:50 AM | VRB 3 | 6.21 | FEW025 OVC050 | -RA | 57 | 57 | 57 | 100 | 29.85473 | 0 | ||||||
LSZH 110250Z AUTO VRB03KT 9999 -RA FEW025 OVC050 14/14 Q1011 RERA NOSIG | ||||||||||||||||
5:20 AM | SSE 5 | 6.21 | FEW017 BKN050 | -RA | 57 | 57 | 57 | 100 | 29.85473 | 0 | ||||||
LSZH 110320Z AUTO 16004KT 140V220 9999 -RA FEW017 BKN050 14/14 Q1011 RERA NOSIG | ||||||||||||||||
5:50 AM | SSW 5 | 6.21 | FEW015 SCT020 BKN050 | -SHRA | 59 | 57 | 59 | 94 | 29.85473 | 0 | ||||||
LSZH 110350Z 19004KT 9999 -SHRA FEW015 SCT020 BKN050 15/14 Q1011 NOSIG | ||||||||||||||||
6:20 AM | SSW 7 | 6.21 | FEW015 SCT020 BKN045 | -SHRA | 59 | 57 | 59 | 94 | 29.85473 | 0 | ||||||
LSZH 110420Z 21006KT 170V240 9999 -SHRA FEW015 SCT020 BKN045 15/14 Q1011 NOSIG | ||||||||||||||||
6:50 AM | WSW 3 | 6.21 | FEW015 BKN045 | 59 | 57 | 59 | 94 | 29.88426 | 0 | |||||||
LSZH 110450Z 24003KT 9999 FEW015 BKN045 15/14 Q1012 NOSIG | ||||||||||||||||
7:20 AM | VRB 1 | 6.21 | FEW020 SCT055 | 57 | 55 | 57 | 94 | 29.88426 | 0 | |||||||
LSZH 110520Z VRB01KT 9999 FEW020 SCT055 14/13 Q1012 NOSIG | ||||||||||||||||
7:50 AM | VRB 2 | 6.21 | FEW015 SCT040 | 57 | 55 | 57 | 94 | 29.88426 | 0 | |||||||
LSZH 110550Z VRB02KT 9999 FEW015 SCT040 14/13 Q1012 NOSIG | ||||||||||||||||
8:20 AM | NNW 3 | 6.21 | FEW020 SCT040 | 59 | 57 | 59 | 94 | 29.91379 | 0 | |||||||
LSZH 110620Z 33003KT 9999 FEW020 SCT040 15/14 Q1013 NOSIG | ||||||||||||||||
8:50 AM | VRB 1 | 6.21 | FEW009 SCT050 | 63 | 57 | 63 | 82 | 29.91379 | 0 | |||||||
LSZH 110650Z VRB01KT 9999 FEW009 SCT050 17/14 Q1013 NOSIG | ||||||||||||||||
9:20 AM | WNW 7 | 6.21 | FEW010 BKN020 | 61 | 57 | 61 | 88 | 29.91379 | 0 | |||||||
LSZH 110720Z 29006KT 260V340 9999 FEW010 BKN020 16/14 Q1013 NOSIG | ||||||||||||||||
9:50 AM | WNW 12 | 6.21 | FEW015 BKN030 | 61 | 55 | 61 | 82 | 29.943321 | 0 | |||||||
LSZH 110750Z 30010KT 9999 FEW015 BKN030 16/13 Q1014 NOSIG | ||||||||||||||||
10:20 AM | WNW 9 | 6.21 | SCT020 BKN035 | 61 | 55 | 61 | 82 | 29.943321 | 0 | |||||||
LSZH 110820Z 30008KT 9999 SCT020 BKN035 16/13 Q1014 NOSIG |
API: The IEM API webservice that provided data to this page. For more details, see documentation.
Data Notes
- For recent years, this page also optionally shows observations from the MADIS High Frequency METAR dataset. This dataset had a problem with temperatures detailed here.