14 June 2025 Observation History, [MZH] MOOSE LAKE, timezone: America/Chicago
Previous Day
| 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. | |||||||||||||||
| 12:15 AM | NE 5 | 10 | OVC055 | 45 | 39 | 42 | 81% | 30.12 | 0 | |||||||
| KMZH 140515Z AUTO 05004KT 10SM OVC055 07/04 A3012 RMK AO2 | ||||||||||||||||
| 12:35 AM | ENE 3 | 10 | SCT028 OVC050 | 45 | 39 | 43 | 81% | 30.12 | 0 | |||||||
| KMZH 140535Z AUTO 06003KT 10SM SCT028 OVC050 07/04 A3012 RMK AO2 | ||||||||||||||||
| 12:55 AM | NE 5 | 10 | OVC028 | 45 | 39 | 42 | 81% | 30.12 | 0 | |||||||
| KMZH 140555Z AUTO 05004KT 10SM OVC028 07/04 A3012 RMK AO2 | ||||||||||||||||
| 1:15 AM | Calm | 10 | OVC026 | 45 | 39 | 45 | 81% | 30.11 | 0 | |||||||
| KMZH 140615Z AUTO 00000KT 10SM OVC026 07/04 A3011 RMK AO2 | ||||||||||||||||
| 1:35 AM | NE 3 | 10 | OVC022 | 45 | 39 | 43 | 81% | 30.11 | 0 | |||||||
| KMZH 140635Z AUTO 04003KT 10SM OVC022 07/04 A3011 RMK AO2 | ||||||||||||||||
| 1:55 AM | NE 5 | 10 | OVC022 | 45 | 39 | 42 | 81% | 30.11 | 0 | |||||||
| KMZH 140655Z AUTO 05004KT 10SM OVC022 07/04 A3011 RMK AO2 | ||||||||||||||||
| 2:15 AM | NE 5 | 10 | SCT022 OVC036 | 45 | 37 | 42 | 76% | 30.11 | 0 | |||||||
| KMZH 140715Z AUTO 04004KT 10SM SCT022 OVC036 07/03 A3011 RMK AO2 | ||||||||||||||||
| 2:35 AM | NE 3 | 10 | OVC036 | 45 | 39 | 43 | 81% | 30.12 | 0 | |||||||
| KMZH 140735Z AUTO 05003KT 10SM OVC036 07/04 A3012 RMK AO2 | ||||||||||||||||
| 2:55 AM | NE 5 | 10 | SCT024 OVC036 | 45 | 39 | 42 | 81% | 30.11 | 0 | |||||||
| KMZH 140755Z AUTO 05004KT 10SM SCT024 OVC036 07/04 A3011 RMK AO2 | ||||||||||||||||
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.