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23 March 2025 Observation History, [PHNG] KANEOHE_MCAS/OAHU, timezone: Pacific/Honolulu
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. | |||||||||||||||
| 12:57 AM | M | % | 30.03 | 1016.6 | 0 | |||||||||||
| PHNG 231057Z AUTO A3003 RMK AO2 SLP166 PWINO TSNO $ | ||||||||||||||||
| 1:57 AM | M | % | 30.01 | 1015.9 | 0 | |||||||||||
| PHNG 231157Z AUTO A3001 RMK AO2 SLP159 58014 PWINO TSNO $ | ||||||||||||||||
| 2:57 AM | M | % | 29.99 | 1015.2 | 0 | |||||||||||
| PHNG 231257Z AUTO A2999 RMK AO2 SLP152 PWINO TSNO $ | ||||||||||||||||
| 3:57 AM | M | % | 29.97 | 1014.5 | 0 | |||||||||||
| PHNG 231357Z AUTO A2997 RMK AO2 SLP145 PWINO TSNO $ | ||||||||||||||||
| 4:57 AM | M | % | 29.97 | 1014.5 | 0 | |||||||||||
| PHNG 231457Z AUTO A2997 RMK AO2 SLP145 56014 PWINO TSNO $ | ||||||||||||||||
| 5:57 AM | M | % | 29.98 | 1014.9 | 0 | |||||||||||
| PHNG 231557Z AUTO A2998 RMK AO2 SLP149 PWINO TSNO $ | ||||||||||||||||
| 6:57 AM | M | % | 29.99 | 1015.2 | 0 | |||||||||||
| PHNG 231657Z AUTO A2999 RMK AO2 SLP152 PWINO TSNO $ | ||||||||||||||||
| 7:57 AM | M | % | 30.01 | 1015.9 | 0 | |||||||||||
| PHNG 231757Z AUTO A3001 RMK AO2 SLP159 53014 PWINO TSNO $ | ||||||||||||||||
| 8:57 AM | M | % | 30.02 | 1016.2 | 0 | |||||||||||
| PHNG 231857Z AUTO A3002 RMK AO2 SLP162 PWINO TSNO $ | ||||||||||||||||
| 9:57 AM | M | % | 30.02 | 1016.2 | 0 | |||||||||||
| PHNG 231957Z AUTO A3002 RMK AO2 SLP162 PWINO TSNO $ | ||||||||||||||||
| 10:57 AM | M | % | 30.01 | 1015.9 | 0 | |||||||||||
| PHNG 232057Z AUTO A3001 RMK AO2 SLP159 50000 PWINO TSNO $ | ||||||||||||||||
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.