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05 January 2025 Observation History, [M30] Metropolis IL, timezone: America/Chicago
Show METARs Show High Frequency MADIS
Previous DayTime | 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 | Calm | 10 | OVC050 | -RA | 33 | 18 | 33 | 53% | 30.26 | 0 | ||||||
KM30 050615Z AUTO 00000KT 10SM -RA OVC050 00/M08 A3026 RMK AO2 T00041080 | ||||||||||||||||
12:35 AM | ENE 3 | 10 | OVC050 | -RA | 32 | 19 | 29 | 58% | 30.25 | 0 | ||||||
KM30 050635Z AUTO 07003KT 10SM -RA OVC050 00/M07 A3025 RMK AO2 T00011072 | ||||||||||||||||
12:55 AM | E 6 | 10 | OVC050 | 32 | 19 | 26 | 59% | 30.23 | 0 | |||||||
KM30 050655Z AUTO 09005KT 10SM OVC050 00/M07 A3023 RMK AO2 T00001070 | ||||||||||||||||
1:15 AM | ENE 3 | 10 | OVC050 | 32 | 19 | 29 | 59% | 30.24 | 0 | |||||||
KM30 050715Z AUTO 07003KT 10SM OVC050 00/M07 A3024 RMK AO2 T00011071 | ||||||||||||||||
1:35 AM | ENE 5 | 10 | OVC050 | -RA | 32 | 19 | 27 | 59% | 30.24 | 0 | ||||||
KM30 050735Z AUTO 07004KT 10SM -RA OVC050 00/M07 A3024 RMK AO2 T00011071 | ||||||||||||||||
1:55 AM | ENE 3 | 10 | OVC050 | 32 | 20 | 29 | 61% | 30.22 | 0 | |||||||
KM30 050755Z AUTO 07003KT 10SM OVC050 00/M07 A3022 RMK AO2 T00001066 | ||||||||||||||||
2:15 AM | E 6 | 10 | OVC050 | -RA | 32 | 20 | 26 | 62% | 30.2 | 0 | ||||||
KM30 050815Z AUTO 08005KT 10SM -RA OVC050 00/M06 A3020 RMK AO2 T00001064 | ||||||||||||||||
2:35 AM | E 7 | 10 | BKN060 OVC065 | 32 | 20 | 26 | 62% | 30.19 | 0 | |||||||
KM30 050835Z AUTO 09006KT 10SM BKN060 OVC065 00/M06 A3019 RMK AO2 T00001065 | ||||||||||||||||
2:55 AM | E 5 | 10 | OVC055 | -RA | 32 | 21 | 27 | 64% | 30.19 | 0 | ||||||
KM30 050855Z AUTO 08004KT 10SM -RA OVC055 00/M06 A3019 RMK AO2 T00011060 | ||||||||||||||||
3:15 AM | ENE 6 | 10 | OVC055 | -RA | 32 | 22 | 26 | 65% | 30.18 | 0 | ||||||
KM30 050915Z AUTO 06005KT 10SM -RA OVC055 00/M06 A3018 RMK AO2 T00011057 | ||||||||||||||||
3:35 AM | ENE 6 | 10 | OVC050 | -SN | 32 | 23 | 26 | 69% | 30.17 | 0 | ||||||
KM30 050935Z AUTO 07005KT 10SM -SN OVC050 00/M05 A3017 RMK AO2 T00001051 | ||||||||||||||||
3:55 AM | E 8 | 10 | OVC048 | -SN | 32 | 24 | 25 | 72% | 30.15 | 0 | ||||||
KM30 050955Z AUTO 08007KT 10SM -SN OVC048 00/M04 A3015 RMK AO2 T00001044 | ||||||||||||||||
4:15 AM | ENE 8 | 5 | OVC044 | -SN | 32 | 24 | 25 | 73% | 30.16 | 0 | ||||||
KM30 051015Z AUTO 07007KT 5SM -SN OVC044 00/M04 A3016 RMK AO2 T10011042 | ||||||||||||||||
4:35 AM | NNE 5 | 10 | OVC042 | -SN | 32 | 25 | 27 | 76% | 30.19 | 0 | ||||||
KM30 051035Z AUTO 03004KT 10SM -SN OVC042 00/M04 A3019 RMK AO2 T10031040 | ||||||||||||||||
4:55 AM | NE 3 | 7 | OVC040 | -SN | 31 | 26 | 28 | 80% | 30.17 | 0 | ||||||
KM30 051055Z AUTO 04003KT 7SM -SN OVC040 00/M03 A3017 RMK AO2 T10051035 | ||||||||||||||||
5:15 AM | ENE 7 | 7 | OVC036 | -SN | 31 | 26 | 24 | 83% | 30.15 | 0 | ||||||
KM30 051115Z AUTO 07006KT 7SM -SN OVC036 00/M03 A3015 RMK AO2 T10051031 | ||||||||||||||||
5:35 AM | E 7 | 10 | OVC034 | -SN | 31 | 26 | 24 | 83% | 30.15 | 0 | ||||||
KM30 051135Z AUTO 08006KT 10SM -SN OVC034 00/M03 A3015 RMK AO2 T10051031 | ||||||||||||||||
5:55 AM | E 5 | 5 | BKN028 OVC034 | -SN | 31 | 27 | 26 | 33 | 31 | 84% | 30.15 | 0 | ||||
KM30 051155Z AUTO 08004KT 5SM -SN BKN028 OVC034 00/M03 A3015 RMK AO2 T10051029 10004 21006 | ||||||||||||||||
6:15 AM | ENE 8 | 5 | SCT011 BKN028 OVC034 | -SN | 31 | 28 | 24 | 89% | 30.15 | 0 | ||||||
KM30 051215Z AUTO 06007KT 5SM -SN SCT011 BKN028 OVC034 00/M02 A3015 RMK AO2 T10051023 | ||||||||||||||||
6:35 AM | NE 7 | 5 | BKN011 BKN026 OVC036 | -SN | 31 | 29 | 24 | 93% | 30.14 | 0 | ||||||
KM30 051235Z AUTO 05006KT 5SM -SN BKN011 BKN026 OVC036 00/M01 A3014 RMK AO2 T10051015 |
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.