Information Last Ob Photographs Meteogram Network Table Neighbors Monthly Summaries Observation History Wind Roses Custom Wind Roses Data Calendar Download
14 March 2025 Observation History, [CYQU] GRANDE PRAIRIE, timezone: America/Edmonton
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 | NW 6 | 6 | BKN054 | -SN | 5 | 1 | -6 | 85% | 29.62 | 1008.9 | 0 | |||||
| CYQU 140600Z 31005KT 6SM -SN BKN054 M15/M17 A2962 RMK SC7 SLP089 | ||||||||||||||||
| 1:00 AM | NW 6 | 10 | BKN088 | -SN | 3 | 1 | -8 | 92% | 29.62 | 1008.8 | 0 | |||||
| CYQU 140700Z 32005KT 10SM -SN BKN088 M16/M17 A2962 RMK AC5 SLP088 | ||||||||||||||||
| 2:00 AM | NW 6 | 10 | BKN110 | -SN | 5 | 1 | -6 | 85% | 29.63 | 1008.9 | 0 | |||||
| CYQU 140800Z 32005KT 10SM -SN BKN110 M15/M17 A2963 RMK AC7 SLP089 | ||||||||||||||||
| 3:00 AM | NNW 5 | 10 | BKN037 | -SN | 3 | -0 | -6 | 85% | 29.65 | 1009.6 | 0 | |||||
| CYQU 140900Z 34004KT 10SM -SN BKN037 M16/M18 A2965 RMK SC7 SLP096 | ||||||||||||||||
| 4:00 AM | NNW 2 | 10 | BKN086 | -SN | 3 | -0 | 3 | 85% | 29.65 | 1009.8 | 0 | |||||
| CYQU 141000Z 34002KT 10SM -SN BKN086 M16/M18 A2965 RMK AC6 SLP098 | ||||||||||||||||
| 5:00 AM | WNW 2 | 8 | BKN044 | -SN | 7 | 3 | 7 | 85% | 29.67 | 1010.1 | 0 | |||||
| CYQU 141100Z 29002KT 8SM -SN BKN044 M14/M16 A2967 RMK SC7 SLP101 | ||||||||||||||||
| 6:00 AM | NNW 2 | 10 | BKN040 | -SN | 7 | 3 | 7 | 85% | 29.67 | 1010.3 | 0 | |||||
| CYQU 141200Z 33002KT 10SM -SN BKN040 M14/M16 A2967 RMK SC7 SLP103 | ||||||||||||||||
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.