30 October 2026 Observation History, [CWC] Kickapoo, timezone: America/Chicago
| 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 | S 8 | 10 | CLR | 67 | 64 | 67 | 89 | 30.15 | 0.00 | M | M | |||||
| KCWC 300515Z AUTO 18007KT 10SM CLR 20/18 A3015 RMK AO2 T01950175 PWINO | ||||||||||||||||
| 12:35 AM | S 5 | 10 | CLR | 67 | 64 | 67 | 89 | 30.15 | 0.00 | M | M | |||||
| KCWC 300535Z AUTO 17004KT 10SM CLR 19/18 A3015 RMK AO2 T01930175 PWINO | ||||||||||||||||
| 12:55 AM | S 3 | 10 | SCT120 | 67 | 64 | 67 | 74 | 67 | 90 | 30.15 | 0.00 | M | M | |||
| KCWC 300555Z AUTO 17003KT 10SM SCT120 19/18 A3015 RMK AO2 T01920176 10233 20192 402660165 PWINO | ||||||||||||||||
| 1:15 AM | M | 10 | SCT060 SCT070 SCT120 | 66 | 64 | 66 | 91 | 30.14 | 0.00 | M | M | |||||
| KCWC 300615Z AUTO 10SM SCT060 SCT070 SCT120 19/18 A3014 RMK AO2 T01910176 PWINO | ||||||||||||||||
| 1:35 AM | M | 10 | BKN042 BKN060 BKN120 | 66 | 64 | 66 | 92 | 30.14 | 0.00 | M | M | |||||
| KCWC 300635Z AUTO 10SM BKN042 BKN060 BKN120 19/18 A3014 RMK AO2 T01880176 PWINO | ||||||||||||||||
| 1:55 AM | M | 10 | BKN042 BKN048 OVC065 | 66 | 64 | 66 | 92 | 30.14 | 0.00 | M | M | |||||
| KCWC 300655Z AUTO 10SM BKN042 BKN048 OVC065 19/18 A3014 RMK AO2 T01900176 PWINO | ||||||||||||||||
| 2:15 AM | M | 10 | OVC045 | 66 | 64 | 66 | 93 | 30.14 | 0.00 | M | M | |||||
| KCWC 300715Z AUTO 10SM OVC045 19/18 A3014 RMK AO2 T01880177 PWINO | ||||||||||||||||
| 2:35 AM | M | 10 | BKN047 BKN070 BKN085 | 66 | 64 | 66 | 95 | 30.14 | 0.00 | M | M | |||||
| KCWC 300735Z AUTO 10SM BKN047 BKN070 BKN085 19/18 A3014 RMK AO2 T01860178 PWINO | ||||||||||||||||
| 2:55 AM | M | 10 | SCT047 | 65 | 64 | 65 | 97 | 30.14 | 0.00 | M | M | |||||
| KCWC 300755Z AUTO 10SM SCT047 19/18 A3014 RMK AO2 T01850180 PWINO | ||||||||||||||||
| 3:15 AM | M | 10 | SCT049 SCT100 | 65 | 64 | 65 | 97 | 30.13 | 0.00 | M | M | |||||
| KCWC 300815Z AUTO 10SM SCT049 SCT100 19/18 A3013 RMK AO2 T01850180 PWINO | ||||||||||||||||
| 3:35 AM | M | 7 | SCT055 BKN110 | 65 | 64 | 65 | 98 | 30.13 | 0.00 | M | M | |||||
| KCWC 300835Z AUTO 7SM SCT055 BKN110 18/18 A3013 RMK AO2 T01830180 PWINO | ||||||||||||||||
| 3:55 AM | M | 10 | SCT055 SCT075 BKN110 | 65 | 64 | 65 | 98 | 30.13 | 0.00 | M | M | |||||
| KCWC 300855Z AUTO 10SM SCT055 SCT075 BKN110 18/18 A3013 RMK AO2 T01830180 PWINO | ||||||||||||||||
| 4:15 AM | M | 10 | BKN075 BKN100 | 65 | 64 | 65 | 99 | 30.12 | 0.00 | M | M | |||||
| KCWC 300915Z AUTO 10SM BKN075 BKN100 18/18 A3012 RMK AO2 T01820180 PWINO | ||||||||||||||||
| 4:35 AM | M | 10 | SCT024 SCT042 SCT075 | 65 | 64 | 65 | 97 | 30.12 | 0.00 | M | M | |||||
| KCWC 300935Z AUTO 10SM SCT024 SCT042 SCT075 18/18 A3012 RMK AO2 T01820178 PWINO | ||||||||||||||||
| 4:55 AM | M | 7 | BKN065 | 65 | 64 | 65 | 97 | 30.12 | 0.00 | M | M | |||||
| KCWC 300955Z AUTO 7SM BKN065 18/18 A3012 RMK AO2 T01820177 PWINO | ||||||||||||||||
| 5:15 AM | M | 7 | OVC065 | 64 | 64 | 64 | 98 | 30.12 | 0.00 | M | M | |||||
| KCWC 301015Z AUTO 7SM OVC065 18/18 A3012 RMK AO2 T01800176 PWINO | ||||||||||||||||
| 5:35 AM | M | 10 | SCT065 BKN075 BKN090 | 64 | 64 | 64 | 97 | 30.12 | 0.00 | M | M | |||||
| KCWC 301035Z AUTO 10SM SCT065 BKN075 BKN090 18/18 A3012 RMK AO2 T01800175 PWINO | ||||||||||||||||
| 5:55 AM | M | 10 | BKN065 BKN085 OVC110 | 64 | 64 | 64 | 97 | 30.12 | 0.00 | M | M | |||||
| KCWC 301055Z AUTO 10SM BKN065 BKN085 OVC110 18/18 A3012 RMK AO2 T01800175 PWINO | ||||||||||||||||
| 6:15 AM | M | 7 | SCT065 BKN100 | 64 | 63 | 64 | 97 | 30.12 | 0.00 | M | M | |||||
| KCWC 301115Z AUTO 7SM SCT065 BKN100 18/17 A3012 RMK AO2 T01780172 PWINO | ||||||||||||||||
API: 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.