26 July 2025 Observation History, [CWNZ] NAGAGAMI (AUT) ONT, timezone: America/Toronto
| 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 | SSW 3 | 62 | 52 | 62 | 70 | 1015.6 | 0 | |||||||||
| CWNZ 260400Z AUTO 19003KT 17/11 RMK AO1 SLP156 T01680113 56001 | ||||||||||||||||
| 1:00 AM | SSW 3 | 59 | 53 | 59 | 83 | 1015.6 | 0 | |||||||||
| CWNZ 260500Z AUTO 20003KT 15/12 RMK AO1 SLP156 T01480119 56001 | ||||||||||||||||
| 2:00 AM | SSW 6 | 60 | 52 | 60 | 74 | 1015.3 | 0 | |||||||||
| CWNZ 260600Z AUTO 21005KT 16/11 RMK AO1 SLP153 T01580111 58002 | ||||||||||||||||
| 3:00 AM | SSW 6 | 62 | 50 | 62 | 67 | 1014.8 | 0 | |||||||||
| CWNZ 260700Z AUTO 20005KT 16/10 RMK AO1 SLP148 T01640102 58007 | ||||||||||||||||
| 4:00 AM | SSW 3 | 59 | 48 | 59 | 67 | 1014.4 | 0 | |||||||||
| CWNZ 260800Z AUTO 19003KT 15/09 RMK AO1 SLP144 T01510089 58011 | ||||||||||||||||
| 5:00 AM | S 3 | 59 | 50 | 59 | 72 | 1013.8 | 0 | |||||||||
| CWNZ 260900Z AUTO 18003KT 15/10 RMK AO1 SLP138 T01490100 58014 | ||||||||||||||||
| 6:00 AM | SSW 6 | 61 | 49 | 61 | 65 | 1013.4 | 0 | |||||||||
| CWNZ 261000Z AUTO 20005KT 16/10 RMK AO1 SLP134 T01610095 57014 | ||||||||||||||||
| 7:00 AM | SSW 6 | 62 | 51 | 62 | 68 | 1013.2 | 0 | |||||||||
| CWNZ 261100Z AUTO 21005KT 16/11 RMK AO1 SLP132 T01640106 56011 | ||||||||||||||||
| 8:00 AM | SSW 8 | 64 | 53 | 64 | 68 | 1012.9 | 0 | |||||||||
| CWNZ 261200Z AUTO 21007KT 18/12 RMK AO1 SLP129 T01760117 56009 | ||||||||||||||||
| 9:00 AM | SW 8 | 68 | 57 | 68 | 69 | 1012.3 | 0 | |||||||||
| CWNZ 261300Z AUTO 22007KT 20/14 RMK AO1 SLP123 T01970139 58011 | ||||||||||||||||
| 10:00 AM | SSW 8 | 72 | 61 | 72 | 67 | 1012 | 0 | |||||||||
| CWNZ 261400Z AUTO 21007KT 22/16 RMK AO1 SLP120 T02230159 57012 | ||||||||||||||||
| 11:00 AM | SW 10G18 | 76 | 62 | 76 | 61 | 1011.4 | 0 | |||||||||
| CWNZ 261500Z AUTO 22009G16KT 25/17 RMK AO1 SLP114 T02460166 56014 | ||||||||||||||||
| 12:00 PM | SW 12G20 PK SW 21 @ 11:17 AM | 80 | 62 | 80 | 55 | 1010.6 | 0 | |||||||||
| CWNZ 261600Z AUTO 22010G17KT 27/17 RMK AO1 PK WND 22018/1517 SLP106 T02650168 58015 | ||||||||||||||||
| 1:00 PM | SW 17G29 PK SSW 30 @ 12:35 PM | 80 | 61 | 80 | 53 | 1009.6 | 0 | |||||||||
| CWNZ 261700Z AUTO 23015G25KT 27/16 RMK AO1 PK WND 21026/1635 SLP096 T02650161 58023 | ||||||||||||||||
| 2:00 PM | SW 16G34 PK SW 34 @ 1:54 PM | 82 | 60 | 83 | 47 | 1009.2 | 0 | |||||||||
| CWNZ 261800Z AUTO 23014G30KT 28/16 RMK AO1 PK WND 22030/1754 SLP092 T02790155 56021 | ||||||||||||||||
| 3:00 PM | SW 17G31 PK SW 31 @ 2:55 PM | 82 | 61 | 83 | 49 | 1009 | 0 | |||||||||
| CWNZ 261900Z AUTO 22015G27KT 28/16 RMK AO1 PK WND 22027/1855 SLP090 T02790162 56016 | ||||||||||||||||
| 4:00 PM | SW 16G30 PK SSW 30 @ 3:00 PM | 84 | 63 | 85 | 49 | 1008.8 | 0 | |||||||||
| CWNZ 262000Z AUTO 23014G26KT 29/17 RMK AO1 PK WND 21026/1900 SLP088 T02870171 56008 | ||||||||||||||||
| 5:00 PM | WSW 12G20 PK SSW 23 @ 4:33 PM | 84 | 62 | 85 | 47 | 1007.8 | 0 | |||||||||
| CWNZ 262100Z AUTO 24010G17KT 29/17 RMK AO1 PK WND 21020/2033 SLP078 T02910167 58014 | ||||||||||||||||
| 6:00 PM | SW 10G21 PK SW 23 @ 5:34 PM | 83 | 60 | 83 | 45 | 1007.6 | 0 | |||||||||
| CWNZ 262200Z AUTO 22009G18KT 29/16 RMK AO1 PK WND 23020/2134 SLP076 T02850155 56014 | ||||||||||||||||
| 7:00 PM | WSW 10G17 PK SW 22 @ 6:46 PM | 82 | 61 | 82 | 50 | 1007.9 | 0 | |||||||||
| CWNZ 262300Z AUTO 24009G15KT 28/16 RMK AO1 PK WND 23019/2246 SLP079 T02760163 55008 | ||||||||||||||||
| 8:00 PM | WSW 12G20 PK WSW 26 @ 7:11 PM | 78 | 60 | 78 | 53 | 1008.5 | 0 | |||||||||
| CWNZ 270000Z AUTO 25010G17KT 26/16 RMK AO1 PK WND 25023/2311 SLP085 T02580155 53007 | ||||||||||||||||
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.