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04 December 2024 Observation History, [CNU] CHANUTE, timezone: America/Chicago
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. | |||||||||||||||
| 3:45 PM | NW 13 | 10 | CLR | % | 30.07 | |||||||||||
| KCNU 042145Z AUTO 31011KT 10SM CLR 17/01 A3007 RMK T01700010 MADISHF | ||||||||||||||||
| 4:10 PM | NW 10 | 10 | CLR | % | 30.08 | |||||||||||
| KCNU 042210Z AUTO 31009KT 10SM CLR 17/01 A3008 RMK T01700010 MADISHF | ||||||||||||||||
| 4:20 PM | NW 9 | % | ||||||||||||||
| KCNU 042220Z AUTO 31008KT RMK MADISHF | ||||||||||||||||
| 4:25 PM | NW 8 | % | 30.08 | |||||||||||||
| KCNU 042225Z AUTO 31007KT 16/01 A3008 RMK T01600010 MADISHF | ||||||||||||||||
| 4:30 PM | NW 6 | 10 | % | 30.08 | ||||||||||||
| KCNU 042230Z AUTO 31005KT 10SM 16/01 A3008 RMK T01600010 MADISHF | ||||||||||||||||
| 4:35 PM | NW 6 | 10 | % | 30.08 | ||||||||||||
| KCNU 042235Z AUTO 31005KT 10SM 16/01 A3008 RMK T01600010 MADISHF | ||||||||||||||||
| 4:40 PM | NW 6 | 10 | % | 30.08 | ||||||||||||
| KCNU 042240Z AUTO 31005KT 10SM 16/01 A3008 RMK T01600010 MADISHF | ||||||||||||||||
| 4:45 PM | WNW 6 | 10 | % | 30.08 | ||||||||||||
| KCNU 042245Z AUTO 30005KT 10SM 15/01 A3008 RMK T01500010 MADISHF | ||||||||||||||||
| 4:50 PM | WNW 6 | 10 | CLR | % | 30.08 | |||||||||||
| KCNU 042250Z AUTO 30005KT 10SM CLR 14/01 A3008 RMK T01400010 MADISHF | ||||||||||||||||
| 4:52 PM | WNW 7 | 10 | CLR | 57 | 33 | 57 | 40% | 30.08 | 1018.7 | 0 | ||||||
| KCNU 042252Z AUTO 30006KT 10SM CLR 14/01 A3008 RMK AO2 SLP187 T01390006 $ | ||||||||||||||||
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.