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10 January 2025 Observation History, [SKPP] Popayan, timezone: America/Bogota
Show METARs Show High Frequency MADIS
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 | VRB 1 | 6.21 | 63 | 61 | 63 | 94% | 30.1205 | 0 | ||||||||
| SKPP 100500Z AUTO VRB01KT //// ////// 17/16 Q1020 | ||||||||||||||||
| 1:00 AM | W 3 | 6.21 | 63 | 61 | 63 | 94% | 30.1205 | 0 | ||||||||
| SKPP 100600Z AUTO 27003KT //// ////// 17/16 Q1020 | ||||||||||||||||
| 2:00 AM | VRB 2 | 6.21 | 63 | 61 | 63 | 94% | 30.09097 | 0 | ||||||||
| SKPP 100700Z AUTO VRB02KT //// ////// 17/16 Q1019 | ||||||||||||||||
| 3:00 AM | WNW 3 | 6.21 | 63 | 61 | 63 | 94% | 30.06144 | 0 | ||||||||
| SKPP 100800Z AUTO 30003KT 250V340 //// ////// 17/16 Q1018 | ||||||||||||||||
| 4:00 AM | WSW 3 | 6.21 | 63 | 61 | 63 | 94% | 30.09097 | 0 | ||||||||
| SKPP 100900Z AUTO 24003KT 210V270 //// ////// 17/16 Q1019 | ||||||||||||||||
| 5:00 AM | SSW 3 | 6.21 | 63 | 61 | 63 | 94% | 30.09097 | 0 | ||||||||
| SKPP 101000Z AUTO 19003KT 160V240 //// ////// 17/16 Q1019 | ||||||||||||||||
| 6:00 AM | VRB 2 | 1.24 | BKN006 | BR | 63 | 61 | 63 | 94% | 30.09097 | 0 | ||||||
| SKPP 101100Z VRB02KT 2000 BR BKN006 17/16 Q1019 | ||||||||||||||||
| 7:00 AM | VRB 1 | 1.24 | BKN006 | BR | 61 | 61 | 61 | 100% | 30.1205 | 0 | ||||||
| SKPP 101200Z VRB01KT 2000 BR BKN006 16/16 Q1020 | ||||||||||||||||
| 8:00 AM | VRB 1 | 3.11 | SCT008 BKN020 | BR | 63 | 61 | 63 | 94% | 30.1205 | 0 | ||||||
| SKPP 101300Z VRB01KT 5000 BR SCT008 BKN020 17/16 Q1020 | ||||||||||||||||
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.