03 September 2025 Observation History, [LSMM] Meiringen, 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 | Calm | 6.21 | BKN088 | 52 | 52 | 52 | 100 | 30.03191 | 0 | |||||||
| LSMM 022220Z AUTO 00000KT 9999NDV BKN088 11/11 Q1017 RMK | ||||||||||||||||
| 12:50 AM | Calm | 6.21 | OVC088 | 54 | 52 | 54 | 94 | 30.03191 | 0 | |||||||
| LSMM 022250Z AUTO 00000KT 9999NDV OVC088 12/11 Q1017 RMK | ||||||||||||||||
| 1:20 AM | ENE 3 | 6.21 | OVC085 | 54 | 52 | 54 | 94 | 30.03191 | 0 | |||||||
| LSMM 022320Z AUTO 07003KT 9999NDV OVC085 12/11 Q1017 RMK | ||||||||||||||||
| 1:50 AM | VRB 1 | 6.21 | FEW080 SCT090 | 54 | 52 | 54 | 94 | 30.03191 | 0 | |||||||
| LSMM 022350Z AUTO VRB01KT 9999NDV FEW080 SCT090 12/11 Q1017 RMK | ||||||||||||||||
| 2:20 AM | VRB 1 | 6.21 | BKN095 | 54 | 52 | 54 | 94 | 30.00238 | 0 | |||||||
| LSMM 030020Z AUTO VRB01KT 9999NDV BKN095 12/11 Q1016 RMK | ||||||||||||||||
| 2:50 AM | Calm | 6.21 | OVC094 | 54 | 52 | 54 | 94 | 30.00238 | 0 | |||||||
| LSMM 030050Z AUTO 00000KT 9999NDV OVC094 12/11 Q1016 RMK | ||||||||||||||||
| 3:20 AM | Calm | 6.21 | OVC085 | 54 | 52 | 54 | 94 | 30.03191 | 0 | |||||||
| LSMM 030120Z AUTO 00000KT 9999NDV OVC085 12/11 Q1017 RMK | ||||||||||||||||
| 3:50 AM | ENE 3 | 6.21 | BKN081 | 54 | 52 | 54 | 94 | 30.03191 | 0 | |||||||
| LSMM 030150Z AUTO 07003KT 360V150 9999NDV BKN081 12/11 Q1017 RMK | ||||||||||||||||
| 4:20 AM | Calm | 6.21 | BKN096 | 54 | 52 | 54 | 94 | 30.03191 | 0 | |||||||
| LSMM 030220Z AUTO 00000KT 9999NDV BKN096 12/11 Q1017 RMK | ||||||||||||||||
| 4:50 AM | Calm | 6.21 | BKN095 | 54 | 52 | 54 | 94 | 30.00238 | 0 | |||||||
| LSMM 030250Z AUTO 00000KT 9999NDV BKN095 12/11 Q1016 RMK | ||||||||||||||||
| 5:20 AM | W 3 | 6.21 | FEW099 | 52 | 50 | 52 | 94 | 30.03191 | 0 | |||||||
| LSMM 030320Z AUTO 27003KT 230V290 9999NDV FEW099 11/10 Q1017 RMK | ||||||||||||||||
| 5:50 AM | E 3 | 6.21 | FEW097 | 52 | 50 | 52 | 94 | 30.00238 | 0 | |||||||
| LSMM 030350Z AUTO 10003KT 060V170 9999NDV FEW097 11/10 Q1016 RMK | ||||||||||||||||
| 6:20 AM | Calm | 6.21 | NCD | 52 | 50 | 52 | 94 | 30.03191 | 0 | |||||||
| LSMM 030420Z AUTO 00000KT 9999NDV NCD 11/10 Q1017 RMK | ||||||||||||||||
| 6:50 AM | VRB 2 | 6.21 | NCD | 50 | 50 | 50 | 100 | 30.03191 | 0 | |||||||
| LSMM 030450Z AUTO VRB02KT 9999NDV NCD 10/10 Q1017 RMK | ||||||||||||||||
| 7:20 AM | Calm | 6.21 | SCT100 | 50 | 48 | 50 | 93 | 30.03191 | 0 | |||||||
| LSMM 030520Z 00000KT 9999 SCT100 10/09 Q1017 RMK BLU+ | ||||||||||||||||
| 7:50 AM | Calm | 6.21 | SCT100 | 50 | 50 | 50 | 100 | 30.03191 | 0 | |||||||
| LSMM 030550Z 00000KT 9999 SCT100 10/10 Q1017 RMK BLU+ | ||||||||||||||||
| 8:20 AM | VRB 2 | 6.21 | SCT100 | 52 | 50 | 52 | 94 | 30.03191 | 0 | |||||||
| LSMM 030620Z VRB02KT 9999 SCT100 11/10 Q1017 RMK BLU+ | ||||||||||||||||
| 8:50 AM | Calm | 6.21 | SCT100 | 54 | 52 | 54 | 94 | 30.03191 | 0 | |||||||
| LSMM 030650Z 00000KT 9999 SCT100 12/11 Q1017 RMK BLU+ | ||||||||||||||||
| 9:20 AM | Calm | 6.21 | SCT100 | 57 | 52 | 57 | 82 | 30.03191 | 0 | |||||||
| LSMM 030720Z 00000KT 9999 SCT100 14/11 Q1017 RMK BLU+ | ||||||||||||||||
| 9:50 AM | VRB 2 | 6.21 | BKN095 BKN110 | 59 | 52 | 59 | 77 | 30.03191 | 0 | |||||||
| LSMM 030750Z VRB02KT 9999 BKN095 BKN110 15/11 Q1017 RMK BLU | ||||||||||||||||
| 10:20 AM | Calm | 6.21 | BKN096 | 59 | 52 | 59 | 77 | 30.03191 | 0 | |||||||
| LSMM 030820Z 00000KT 9999 BKN096 15/11 Q1017 RMK BLU | ||||||||||||||||
| 10:50 AM | Calm | 6.21 | BKN096 BKN130 | 61 | 52 | 61 | 72 | 30.03191 | 0 | |||||||
| LSMM 030850Z 00000KT 9999 BKN096 BKN130 16/11 Q1017 RMK BLU | ||||||||||||||||
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.