03 November 2025 Observation History, [ASL] Marshall, timezone: America/Chicago
| 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 | Calm | 10 | CLR | 40 | 40 | 40 | 100 | 30.26 | 0 | |||||||
| KASL 030615Z AUTO 00000KT 10SM CLR 04/04 A3026 RMK AO2 T00420042 $ | ||||||||||||||||
| 12:35 AM | Calm | 10 | CLR | 38 | 38 | 38 | 100 | 30.27 | 0 | |||||||
| KASL 030635Z AUTO 00000KT 10SM CLR 03/03 A3027 RMK AO2 T00340034 $ | ||||||||||||||||
| 12:55 AM | Calm | 10 | CLR | 38 | 38 | 38 | 100 | 30.26 | 0 | |||||||
| KASL 030655Z AUTO 00000KT 10SM CLR 03/03 A3026 RMK AO2 T00310031 $ | ||||||||||||||||
| 1:15 AM | Calm | 10 | CLR | 38 | 38 | 38 | 100 | 30.27 | 0 | |||||||
| KASL 030715Z AUTO 00000KT 10SM CLR 03/03 A3027 RMK AO2 T00340034 $ | ||||||||||||||||
| 1:35 AM | Calm | 10 | CLR | 38 | 38 | 38 | 100 | 30.27 | 0 | |||||||
| KASL 030735Z AUTO 00000KT 10SM CLR 03/03 A3027 RMK AO2 T00330033 $ | ||||||||||||||||
| 1:55 AM | Calm | 10 | CLR | 38 | 38 | 38 | 100 | 30.27 | 0 | |||||||
| KASL 030755Z AUTO 00000KT 10SM CLR 04/04 A3027 RMK AO2 T00360036 $ | ||||||||||||||||
| 2:15 AM | Calm | 10 | CLR | 38 | 38 | 38 | 100 | 30.28 | 0 | |||||||
| KASL 030815Z AUTO 00000KT 10SM CLR 03/03 A3028 RMK AO2 T00320032 $ | ||||||||||||||||
| 2:35 AM | Calm | 10 | CLR | 38 | 38 | 38 | 100 | 30.28 | 0 | |||||||
| KASL 030835Z AUTO 00000KT 10SM CLR 03/03 A3028 RMK AO2 T00320032 $ | ||||||||||||||||
| 2:55 AM | Calm | 10 | CLR | 38 | 38 | 38 | 100 | 30.27 | 0 | |||||||
| KASL 030855Z AUTO 00000KT 10SM CLR 03/03 A3027 RMK AO2 T00320032 51005 $ | ||||||||||||||||
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.