01 October 2025 Observation History, [BMT] Beaumont, 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 | 68 | 65 | 68 | 90 | 29.97 | 0 | |||||||
| KBMT 010515Z AUTO 00000KT 10SM CLR 20/18 A2997 RMK AO2 T01990183 | ||||||||||||||||
| 12:35 AM | Calm | 10 | CLR | 67 | 65 | 67 | 92 | 29.97 | 0 | |||||||
| KBMT 010535Z AUTO 00000KT 10SM CLR 20/18 A2997 RMK AO2 T01960183 | ||||||||||||||||
| 12:55 AM | N 3 | 10 | CLR | 67 | 64 | 67 | 83 | 67 | 91 | 29.98 | 0 | |||||
| KBMT 010555Z AUTO 01003KT 10SM CLR 20/18 A2998 RMK AO2 T01950180 10282 20192 403170181 | ||||||||||||||||
| 1:15 AM | NNE 5 | 10 | CLR | 69 | 64 | 69 | 84 | 29.98 | 0 | |||||||
| KBMT 010615Z AUTO 03004KT 10SM CLR 21/18 A2998 RMK AO2 T02050177 | ||||||||||||||||
| 1:35 AM | NNE 3 | 10 | CLR | 69 | 64 | 69 | 83 | 29.98 | 0 | |||||||
| KBMT 010635Z AUTO 02003KT 10SM CLR 21/18 A2998 RMK AO2 T02050175 | ||||||||||||||||
| 1:55 AM | Calm | 10 | CLR | 68 | 63 | 68 | 85 | 29.98 | 0 | |||||||
| KBMT 010655Z AUTO 00000KT 10SM CLR 20/17 A2998 RMK AO2 T01990174 | ||||||||||||||||
| 2:15 AM | Calm | 10 | CLR | 66 | 63 | 66 | 89 | 29.98 | 0 | |||||||
| KBMT 010715Z AUTO 00000KT 10SM CLR 19/17 A2998 RMK AO2 T01900171 | ||||||||||||||||
| 2:35 AM | Calm | 10 | CLR | 67 | 63 | 67 | 87 | 29.98 | 0 | |||||||
| KBMT 010735Z AUTO 00000KT 10SM CLR 20/17 A2998 RMK AO2 T01950172 | ||||||||||||||||
| 2:55 AM | Calm | 10 | CLR | 65 | 62 | 65 | 91 | 29.98 | 0 | |||||||
| KBMT 010755Z AUTO 00000KT 10SM CLR 18/17 A2998 RMK AO2 T01830168 | ||||||||||||||||
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.