08 September 2025 Observation History, [4F2] Carthage, 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 | 62 | 60 | 62 | 94 | 30.15 | 0 | |||||||
| K4F2 080515Z AUTO 00000KT 10SM CLR 17/16 A3015 RMK AO2 T01670157 | ||||||||||||||||
| 12:35 AM | Calm | 10 | CLR | 62 | 60 | 62 | 95 | 30.15 | 0 | |||||||
| K4F2 080535Z AUTO 00000KT 10SM CLR 16/16 A3015 RMK AO2 T01640156 | ||||||||||||||||
| 12:55 AM | Calm | 10 | CLR | 61 | 60 | 61 | 77 | 61 | 95 | 30.15 | 0 | |||||
| K4F2 080555Z AUTO 00000KT 10SM CLR 16/15 A3015 RMK AO2 T01600153 10250 20159 | ||||||||||||||||
| 1:15 AM | NNW 3 | 10 | CLR | 60 | 59 | 60 | 95 | 30.15 | 0 | |||||||
| K4F2 080615Z AUTO 34003KT 10SM CLR 16/15 A3015 RMK AO2 T01570151 | ||||||||||||||||
| 1:35 AM | N 3 | 10 | CLR | 61 | 60 | 61 | 97 | 30.15 | 0 | |||||||
| K4F2 080635Z AUTO 36003KT 10SM CLR 16/15 A3015 RMK AO2 T01600155 | ||||||||||||||||
| 1:55 AM | Calm | 10 | CLR | 61 | 60 | 61 | 96 | 30.15 | 0 | |||||||
| K4F2 080655Z AUTO 00000KT 10SM CLR 16/15 A3015 RMK AO2 T01590153 | ||||||||||||||||
| 2:15 AM | N 3 | 10 | CLR | 60 | 58 | 60 | 96 | 30.15 | 0 | |||||||
| K4F2 080715Z AUTO 35003KT 10SM CLR 15/15 A3015 RMK AO2 T01530147 | ||||||||||||||||
| 2:35 AM | Calm | 10 | CLR | 60 | 58 | 60 | 96 | 30.15 | 0 | |||||||
| K4F2 080735Z AUTO 00000KT 10SM CLR 15/15 A3015 RMK AO2 T01530147 | ||||||||||||||||
| 2:55 AM | NNW 3 | 10 | CLR | 59 | 58 | 59 | 96 | 30.15 | 0 | |||||||
| K4F2 080755Z AUTO 34003KT 10SM CLR 15/15 A3015 RMK AO2 T01510145 | ||||||||||||||||
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.