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27 March 2025 Observation History, [CWVT] BUFFALO NARROWS (AUT) SASK, timezone: America/Regina
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. | |||||||||||||||
| 12:00 AM | E 3 | 20 | 9 | 15 | 62% | 1027.7 | 0 | |||||||||
| CWVT 270600Z AUTO 08003KT M07/M13 RMK AO1 SOG 31 6002 SLP277 T10691130 | ||||||||||||||||
| 1:00 AM | ENE 2 | 19 | 9 | 19 | 66% | 1027.6 | 0 | |||||||||
| CWVT 270700Z AUTO 06002KT M07/M13 RMK AO1 SOG 31 7002 SLP276 T10741126 | ||||||||||||||||
| 2:00 AM | E 3 | 19 | 8 | 14 | 62% | 1027.4 | 0 | |||||||||
| CWVT 270800Z AUTO 09003KT M07/M13 RMK AO1 SOG 31 8002 SLP274 T10731132 | ||||||||||||||||
| 3:00 AM | ESE 3 | 20 | 8 | 15 | 58% | 1027.2 | 0 | |||||||||
| CWVT 270900Z AUTO 11003KT M07/M14 RMK AO1 SOG 31 8003 SLP272 T10651135 | ||||||||||||||||
| 4:00 AM | E 3 | 18 | 7 | 13 | 62% | 1026.9 | 0 | |||||||||
| CWVT 271000Z AUTO 08003KT M08/M14 RMK AO1 SOG 31 8006 SLP269 T10771137 | ||||||||||||||||
| 5:00 AM | NE 6 | 17 | 9 | 9 | 69% | 1026.1 | 0 | |||||||||
| CWVT 271100Z AUTO 04005KT M08/M13 RMK AO1 SOG 31 8012 SLP261 T10811127 | ||||||||||||||||
| 6:00 AM | NE 6 | 16 | 10 | 7 | 76% | 1026.4 | 0 | |||||||||
| CWVT 271200Z AUTO 04005KT M09/M12 RMK AO1 SOG 31 5008 SLP264 T10881124 | ||||||||||||||||
| 7:00 AM | NE 5 | 16 | 11 | 9 | 81% | 1026.7 | 0 | |||||||||
| CWVT 271300Z AUTO 04004KT M09/M12 RMK AO1 SOG 31 5002 SLP267 T10891115 | ||||||||||||||||
| 8:00 AM | NE 5 | 16 | 8 | 9 | 69% | 1027 | 0 | |||||||||
| CWVT 271400Z AUTO 05004KT M09/M14 RMK AO1 SOG 31 1007 SLP270 T10901136 | ||||||||||||||||
| 9:00 AM | NE 5 | 16 | 8 | 9 | 70% | 1026.9 | 0 | |||||||||
| CWVT 271500Z AUTO 04004KT M09/M13 RMK AO1 SOG 31 0003 SLP269 T10891134 | ||||||||||||||||
| 10:00 AM | NNE 6 | 16 | 8 | 7 | 69% | 1027.1 | 0 | |||||||||
| CWVT 271600Z AUTO 02005KT M09/M14 RMK AO1 SOG 31 3003 SLP271 T10881136 | ||||||||||||||||
| 11:00 AM | NNE 6 | 18 | 8 | 10 | 64% | 1027 | 0 | |||||||||
| CWVT 271700Z AUTO 03005KT M08/M13 RMK AO1 SOG 31 3001 SLP270 T10751132 | ||||||||||||||||
| 12:00 PM | NNE 9 | 19 | 7 | 8 | 59% | 1026.6 | 0 | |||||||||
| CWVT 271800Z AUTO 02008KT M07/M14 RMK AO1 SOG 31 8002 SLP266 T10741140 | ||||||||||||||||
| 1:00 PM | NNE 13 | 19 | 7 | 7 | 58% | 1026.2 | 0 | |||||||||
| CWVT 271900Z AUTO 02011KT M07/M14 RMK AO1 SOG 31 8008 SLP262 T10701138 | ||||||||||||||||
| 2:00 PM | NNE 12 | 19 | 5 | 7 | 54% | 1026 | 0 | |||||||||
| CWVT 272000Z AUTO 02010KT M07/M15 RMK AO1 SOG 30 6009 SLP260 T10721151 | ||||||||||||||||
| 3:00 PM | N 13 | 19 | 6 | 7 | 54% | 1025.6 | 0 | |||||||||
| CWVT 272100Z AUTO 01011KT M07/M15 RMK AO1 SOG 31 8009 SLP256 T10701147 | ||||||||||||||||
| 4:00 PM | NNE 14 | 21 | 6 | 8 | 52% | 1025.6 | 0 | |||||||||
| CWVT 272200Z AUTO 02012KT M06/M14 RMK AO1 SOG 31 6006 SLP256 T10621144 | ||||||||||||||||
| 5:00 PM | N 14 | 21 | 4 | 8 | 49% | 1025.3 | 0 | |||||||||
| CWVT 272300Z AUTO 01012KT M06/M15 RMK AO1 SOG 31 6007 PK WND 01018/2225 SLP253 T10631153 | ||||||||||||||||
| 6:00 PM | N 13 | 20 | 4 | 7 | 50% | 1025.2 | 0 | |||||||||
| CWVT 280000Z AUTO 01011KT M07/M15 RMK AO1 SOG 31 8004 PK WND 01017/2303 SLP252 T10681154 | ||||||||||||||||
| 7:00 PM | NNE 13 | 19 | 3 | 6 | 50% | 1025.3 | 0 | |||||||||
| CWVT 280100Z AUTO 02011KT M07/M16 RMK AO1 SOG 31 6004 SLP253 T10741162 | ||||||||||||||||
| 8:00 PM | NNE 13 | 16 | 2 | 2 | 55% | 1025.6 | 0 | |||||||||
| CWVT 280200Z AUTO 02011KT M09/M16 RMK AO1 SOG 31 3001 SLP256 T10881164 | ||||||||||||||||
| 9:00 PM | NNE 12 | 14 | 2 | -0 | 59% | 1026.4 | 0 | |||||||||
| CWVT 280300Z AUTO 02010KT M10/M17 RMK AO1 SOG 31 3009 SLP264 T11021168 | ||||||||||||||||
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.