Information Last Ob Photographs Meteogram Network Table Neighbors Monthly Summaries Observation History Wind Roses Custom Wind Roses Data Calendar Satellite Cloud Product Download
11 November 2024 Observation History, [XNX] Sumner, 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. | |||||||||||||||
| 12:00 AM | Calm | 7 | FEW009 FEW046 OVC070 | 63 | 63 | 63 | 100% | 30 | 0 | |||||||
| KXNX 110600Z AUTO 00000KT 7SM FEW009 FEW046 OVC070 17/17 A3000 RMK A01 | ||||||||||||||||
| 12:20 AM | Calm | 7 | FEW004 BKN050 OVC070 | 63 | 63 | 63 | 100% | 30 | 0 | |||||||
| KXNX 110620Z AUTO 00000KT 7SM FEW004 BKN050 OVC070 17/17 A3000 RMK A01 | ||||||||||||||||
| 12:40 AM | Calm | 9 | FEW039 BKN050 OVC095 | 63 | 63 | 63 | 100% | 30 | 0 | |||||||
| KXNX 110640Z AUTO 00000KT 9SM FEW039 BKN050 OVC095 17/17 A3000 RMK A01 | ||||||||||||||||
| 1:00 AM | Calm | 5 | SCT005 BKN050 OVC085 | BR | 63 | 63 | 63 | 100% | 29.99 | 0 | ||||||
| KXNX 110700Z AUTO 00000KT 5SM BR SCT005 BKN050 OVC085 17/17 A2999 RMK A01 | ||||||||||||||||
| 1:20 AM | Calm | 5 | BKN005 BKN060 OVC090 | BR | 63 | 63 | 63 | 100% | 29.99 | 0 | ||||||
| KXNX 110720Z AUTO 00000KT 5SM BR BKN005 BKN060 OVC090 17/17 A2999 RMK A01 | ||||||||||||||||
| 1:40 AM | Calm | 4 | BKN003 BKN007 OVC060 | BR | 63 | 63 | 63 | 100% | 29.99 | 0 | ||||||
| KXNX 110740Z AUTO 00000KT 4SM BR BKN003 BKN007 OVC060 17/17 A2999 RMK A01 | ||||||||||||||||
| 2:05 AM | Calm | 3 | OVC005 | BR | 63 | 63 | 63 | 100% | 30 | 0 | ||||||
| KXNX 110805Z AUTO 00000KT 3SM BR OVC005 17/17 A3000 RMK A01 | ||||||||||||||||
| 2:25 AM | Calm | 3 | SCT005 BKN023 OVC027 | BR | 63 | 63 | 63 | 100% | 30 | 0 | ||||||
| KXNX 110825Z AUTO 00000KT 3SM BR SCT005 BKN023 OVC027 17/17 A3000 RMK A01 | ||||||||||||||||
| 2:45 AM | Calm | 3 | SCT003 BKN025 | BR | 61 | 61 | 61 | 100% | 30 | 0 | ||||||
| KXNX 110845Z AUTO 00000KT 3SM BR SCT003 BKN025 16/16 A3000 RMK A01 | ||||||||||||||||
| 3:05 AM | Calm | 2 | FEW003 | BR | 61 | 61 | 61 | 100% | 29.99 | 0 | ||||||
| KXNX 110905Z AUTO 00000KT 2SM BR FEW003 16/16 A2999 RMK A01 | ||||||||||||||||
| 3:20 AM | Calm | 0.25 | BKN002 BKN012 | FG | 59 | 59 | 59 | 100% | 29.99 | 0 | ||||||
| KXNX 110920Z AUTO 00000KT 1/4SM FG BKN002 BKN012 15/15 A2999 RMK A01 | ||||||||||||||||
| 3:40 AM | Calm | 0.25 | OVC002 | FG | 59 | 59 | 59 | 100% | 30 | 0 | ||||||
| KXNX 110940Z AUTO 00000KT M1/4SM FG OVC002 15/15 A3000 RMK A01 | ||||||||||||||||
| 4:00 AM | Calm | 0.25 | OVC002 | FG | 59 | 59 | 59 | 100% | 30 | 0 | ||||||
| KXNX 111000Z AUTO 00000KT M1/4SM FG OVC002 15/15 A3000 RMK A01 | ||||||||||||||||
| 4:20 AM | NNW 7 | 3 | SCT002 OVC007 | BR | 61 | 61 | 61 | 100% | 30.01 | 0 | ||||||
| KXNX 111020Z AUTO 33006KT 3SM BR SCT002 OVC007 16/16 A3001 RMK A01 | ||||||||||||||||
| 4:45 AM | Calm | 9 | OVC006 | 61 | 61 | 61 | 100% | 30.02 | 0 | |||||||
| KXNX 111045Z AUTO 00000KT 9SM OVC006 16/16 A3002 RMK A01 | ||||||||||||||||
| 5:05 AM | NNW 3 | 10 | OVC007 | 61 | 59 | 61 | 94% | 30.02 | 0 | |||||||
| KXNX 111105Z AUTO 33003KT 10SM OVC007 16/15 A3002 RMK A01 | ||||||||||||||||
| 5:25 AM | N 5 | 9 | OVC008 | 61 | 59 | 61 | 94% | 30.02 | 0 | |||||||
| KXNX 111125Z AUTO 35004KT 9SM OVC008 16/15 A3002 RMK A01 | ||||||||||||||||
| 5:40 AM | NNW 5 | 10 | OVC009 | 59 | 59 | 59 | 100% | 30.02 | 0 | |||||||
| KXNX 111140Z AUTO 33004KT 10SM OVC009 15/15 A3002 RMK A01 | ||||||||||||||||
| 6:00 AM | NNW 5 | 10 | OVC009 | 59 | 59 | 59 | 100% | 30.03 | 0 | |||||||
| KXNX 111200Z AUTO 34004KT 10SM OVC009 15/15 A3003 RMK A01 | ||||||||||||||||
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.