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21 November 2024 Observation History, [MUT] MUSCATINE, 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. | |||||||||||||||
| 12:15 AM | WNW 16G 25 | 10 | BKN039 OVC046 | -SN | 32 | 32 | 21 | 100% | 29.87 | 0 | ||||||
| KMUT 210615Z AUTO 30014G22KT 10SM -SN BKN039 OVC046 M00/M00 A2987 RMK AO2 | ||||||||||||||||
| 12:35 AM | WNW 15G 28 | 10 | FEW022 SCT030 BKN040 | 32 | 32 | 22 | 100% | 29.86 | 0 | |||||||
| KMUT 210635Z AUTO 30013G24KT 10SM FEW022 SCT030 BKN040 M00/M00 A2986 RMK AO2 | ||||||||||||||||
| 12:55 AM | WNW 18G 25 | 10 | SCT024 BKN039 OVC045 | 32 | 32 | 20 | 100% | 29.86 | 0 | |||||||
| KMUT 210655Z AUTO 30016G22KT 10SM SCT024 BKN039 OVC045 M00/M00 A2986 RMK AO2 | ||||||||||||||||
| 1:15 AM | NW 23G 29 | 10 | SCT025 BKN039 OVC045 | 32 | 32 | 19 | 100% | 29.86 | 0 | |||||||
| KMUT 210715Z AUTO 31020G25KT 10SM SCT025 BKN039 OVC045 M00/M00 A2986 RMK AO2 | ||||||||||||||||
| 1:35 AM | NW 18G 30 | 10 | FEW025 BKN036 OVC046 | 32 | 32 | 20 | 100% | 29.87 | 0 | |||||||
| KMUT 210735Z AUTO 31016G26KT 10SM FEW025 BKN036 OVC046 M00/M00 A2987 RMK AO2 | ||||||||||||||||
| 1:55 AM | NW 23G 29 | 10 | BKN029 BKN036 OVC045 | -UP | 32 | 32 | 19 | 100% | 29.87 | 0 | ||||||
| KMUT 210755Z AUTO 31020G25KT 10SM -UP BKN029 BKN036 OVC045 M00/M00 A2987 RMK AO2 | ||||||||||||||||
| 2:15 AM | NW 17G 26 | 10 | SCT026 BKN035 OVC049 | 32 | 32 | 21 | 100% | 29.87 | 0 | |||||||
| KMUT 210815Z AUTO 31015G23KT 10SM SCT026 BKN035 OVC049 M00/M00 A2987 RMK AO2 | ||||||||||||||||
| 2:35 AM | NW 18G 29 | 10 | BKN025 BKN032 OVC049 | -SN | 32 | 32 | 20 | 100% | 29.87 | 0 | ||||||
| KMUT 210835Z AUTO 31016G25KT 10SM -SN BKN025 BKN032 OVC049 M00/M00 A2987 RMK AO2 | ||||||||||||||||
| 2:55 AM | NW 21G 30 | 10 | BKN025 OVC034 | 32 | 32 | 20 | 100% | 29.88 | 0 | |||||||
| KMUT 210855Z AUTO 31018G26KT 10SM BKN025 OVC034 M00/M00 A2988 RMK AO2 | ||||||||||||||||
| 3:15 AM | NW 21G 30 | 8 | FEW021 SCT025 BKN033 | 30 | 32 | 108% | 29.88 | 0 | ||||||||
| KMUT 210915Z AUTO 32018G26KT 8SM FEW021 SCT025 BKN033 M01/M00 A2988 RMK AO2 | ||||||||||||||||
| 3:35 AM | NW 18G 30 | 10 | BKN038 OVC047 | 30 | 32 | 108% | 29.88 | 0 | ||||||||
| KMUT 210935Z AUTO 31016G26KT 10SM BKN038 OVC047 M01/M00 A2988 RMK AO2 | ||||||||||||||||
| 3:55 AM | WNW 25G 33 | 10 | OVC037 | 30 | 32 | 108% | 29.89 | 0 | ||||||||
| KMUT 210955Z AUTO 30022G29KT 10SM OVC037 M01/M00 A2989 RMK AO2 | ||||||||||||||||
| 4:15 AM | NW 22G 29 | 6 | FEW018 SCT024 BKN030 | -UP | 30 | 30 | 17 | 100% | 29.9 | 0 | ||||||
| KMUT 211015Z AUTO 31019G25KT 6SM -UP FEW018 SCT024 BKN030 M01/M01 A2990 RMK AO2 | ||||||||||||||||
| 4:55 AM | NW 20G 25 | 10 | BKN025 OVC032 | 30 | 30 | 18 | 100% | 29.91 | 0 | |||||||
| KMUT 211055Z AUTO 32017G22KT 10SM BKN025 OVC032 M01/M01 A2991 RMK AO2 | ||||||||||||||||
| 5:15 AM | NW 15G 26 | 10 | OVC025 | 30 | 30 | 19 | 100% | 29.91 | 0 | |||||||
| KMUT 211115Z AUTO 31013G23KT 10SM OVC025 M01/M01 A2991 RMK AO2 | ||||||||||||||||
| 5:35 AM | NW 18G 25 | 10 | OVC028 | 30 | 32 | 108% | 29.92 | 0 | ||||||||
| KMUT 211135Z AUTO 31016G22KT 10SM OVC028 M01/M00 A2992 RMK AO2 | ||||||||||||||||
| 5:55 AM | NW 14G 26 | 10 | BKN029 OVC033 | 32 | 32 | 22 | 100% | 29.93 | 0 | |||||||
| KMUT 211155Z AUTO 31012G23KT 10SM BKN029 OVC033 M00/M00 A2993 RMK AO2 | ||||||||||||||||
| 6:15 AM | NW 17G 26 | 10 | OVC029 | 32 | 32 | 21 | 100% | 29.93 | 0 | |||||||
| KMUT 211215Z AUTO 31015G23KT 10SM OVC029 M00/M00 A2993 RMK AO2 | ||||||||||||||||
| 6:35 AM | NW 18 | 10 | OVC028 | 32 | 32 | 20 | 100% | 29.94 | 0 | |||||||
| KMUT 211235Z AUTO 31016KT 10SM OVC028 M00/M00 A2994 RMK AO2 | ||||||||||||||||
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.