18 June 2025 Observation History, [AXA] ALGONA, 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 | SSE 5 | 9 | FEW048 SCT100 | 64 | 64 | 64 | 100% | 29.82 | 0 | |||||||
KAXA 180515Z AUTO 15004KT 9SM FEW048 SCT100 18/18 A2982 RMK A01 | ||||||||||||||||
12:35 AM | NNE 8 | 9 | FEW006 SCT050 BKN100 | 64 | 64 | 64 | 100% | 29.81 | 0 | |||||||
KAXA 180535Z AUTO 02007KT 9SM FEW006 SCT050 BKN100 18/18 A2981 RMK A01 | ||||||||||||||||
12:55 AM | N 7 | 10 | BKN050 | 64 | 64 | 64 | 100% | 29.83 | 0 | |||||||
KAXA 180555Z AUTO 36006KT 10SM BKN050 18/18 A2983 RMK A01 | ||||||||||||||||
1:15 AM | ENE 7 | 10 | SCT050 BKN120 | 64 | 64 | 64 | 100% | 29.82 | 0 | |||||||
KAXA 180615Z AUTO 06006KT 10SM SCT050 BKN120 18/18 A2982 RMK A01 | ||||||||||||||||
1:35 AM | ESE 3 | 10 | SCT100 BKN120 | 64 | 64 | 64 | 100% | 29.83 | 0 | |||||||
KAXA 180635Z AUTO 12003KT 10SM SCT100 BKN120 18/18 A2983 RMK A01 | ||||||||||||||||
1:55 AM | Calm | 9 | OVC100 | 64 | 64 | 64 | 100% | 29.83 | 0 | |||||||
KAXA 180655Z AUTO 00000KT 9SM OVC100 18/18 A2983 RMK A01 | ||||||||||||||||
2:15 AM | N 3 | 9 | OVC100 | 64 | 64 | 64 | 100% | 29.83 | 0 | |||||||
KAXA 180715Z AUTO 35003KT 9SM OVC100 18/18 A2983 RMK A01 | ||||||||||||||||
2:35 AM | Calm | 10 | FEW035 OVC100 | 64 | 64 | 64 | 100% | 29.82 | 0 | |||||||
KAXA 180735Z AUTO 00000KT 10SM FEW035 OVC100 18/18 A2982 RMK A01 | ||||||||||||||||
2:55 AM | Calm | 8 | BKN034 OVC110 | 64 | 64 | 64 | 100% | 29.82 | 0 | |||||||
KAXA 180755Z AUTO 00000KT 8SM BKN034 OVC110 18/18 A2982 RMK A01 |
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.