21 September 2025 Observation History, [ULM] NEW ULM MUNI, 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 | Calm | 10 | 64 | 61 | 64 | 88 | 29.93 | 0 | ||||||||
KULM 210515Z AUTO 00000KT 10SM 18/16 A2993 RMK AO2 | ||||||||||||||||
12:35 AM | Calm | 10 | 64 | 61 | 64 | 88 | 29.93 | 0 | ||||||||
KULM 210535Z AUTO 00000KT 10SM 18/16 A2993 RMK AO2 | ||||||||||||||||
12:55 AM | Calm | 10 | 63 | 61 | 63 | 94 | 29.93 | 0 | ||||||||
KULM 210555Z AUTO 00000KT 10SM 17/16 A2993 RMK AO2 | ||||||||||||||||
1:15 AM | S 3 | 10 | 63 | 61 | 63 | 94 | 29.93 | 0 | ||||||||
KULM 210615Z AUTO 18003KT 10SM 17/16 A2993 RMK AO2 | ||||||||||||||||
1:35 AM | S 3 | 10 | 63 | 61 | 63 | 94 | 29.93 | 0 | ||||||||
KULM 210635Z AUTO 18003KT 10SM 17/16 A2993 RMK AO2 | ||||||||||||||||
1:55 AM | S 6 | 10 | 63 | 61 | 63 | 94 | 29.93 | 0 | ||||||||
KULM 210655Z AUTO 18005KT 10SM 17/16 A2993 RMK AO2 | ||||||||||||||||
2:15 AM | SSW 5 | 10 | 64 | 61 | 64 | 88 | 29.93 | 0 | ||||||||
KULM 210715Z AUTO 19004KT 10SM 18/16 A2993 RMK AO2 | ||||||||||||||||
2:35 AM | SSW 3 | 10 | 64 | 61 | 64 | 88 | 29.92 | 0 | ||||||||
KULM 210735Z AUTO 21003KT 10SM 18/16 A2992 RMK AO2 | ||||||||||||||||
2:55 AM | SSW 3 | 10 | 63 | 61 | 63 | 94 | 29.92 | 0 | ||||||||
KULM 210755Z AUTO 21003KT 10SM 17/16 A2992 RMK AO2 | ||||||||||||||||
3:15 AM | SSW 3 | 10 | 63 | 59 | 63 | 88 | 29.92 | 0 | ||||||||
KULM 210815Z AUTO 20003KT 10SM 17/15 A2992 RMK AO2 | ||||||||||||||||
3:35 AM | SSW 3 | 10 | 61 | 59 | 61 | 94 | 29.92 | 0 | ||||||||
KULM 210835Z AUTO 21003KT 10SM 16/15 A2992 RMK AO2 |
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.