20 July 2025 Observation History, [NAK] Annapolis, timezone: America/New_York
| 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. | |||||||||||||||
| 12:54 AM | W 3 | 10 | CLR | 75 | 73 | 75 | 94 | 29.9 | 1012.8 | 0 | ||||||
| KNAK 200454Z AUTO 27003KT 10SM CLR 24/23 A2990 RMK AO2 SLP128 T02390228 402940239 | ||||||||||||||||
| 1:54 AM | Calm | 10 | FEW012 | 75 | 73 | 75 | 79 | 75 | 94 | 29.9 | 1012.5 | 0 | ||||
| KNAK 200554Z AUTO 00000KT 10SM FEW012 24/23 A2990 RMK AO2 SLP125 60008 T02390228 10261 20239 56023 | ||||||||||||||||
| 2:18 AM | WNW 3 | 10 | SCT008 SCT012 | 75 | 74 | 75 | 97 | 29.88 | 0 | |||||||
| KNAK 200618Z AUTO 30003KT 10SM SCT008 SCT012 24/23 A2988 RMK AO2 T02390233 | ||||||||||||||||
| 2:21 AM | WNW 3 | 10 | BKN008 | 75 | 74 | 75 | 97 | 29.88 | 0 | |||||||
| KNAK 200621Z AUTO 30003KT 10SM BKN008 24/23 A2988 RMK AO2 T02390233 | ||||||||||||||||
| 2:54 AM | Calm | 10 | OVC007 | 75 | 74 | 75 | 97 | 29.88 | 1011.8 | 0 | ||||||
| KNAK 200654Z AUTO 00000KT 10SM OVC007 24/23 A2988 RMK AO2 SLP118 T02390233 | ||||||||||||||||
| 3:54 AM | W 3 | 8 | OVC007 | 75 | 74 | 75 | 97 | 29.87 | 1011.7 | 0 | ||||||
| KNAK 200754Z AUTO 26003KT 8SM OVC007 24/23 A2987 RMK AO2 SLP117 T02390233 | ||||||||||||||||
| 4:54 AM | VRB 3 | 6 | OVC007 | BR | 75 | 74 | 75 | 97 | 29.88 | 1011.9 | 0 | |||||
| KNAK 200854Z AUTO VRB03KT 6SM BR OVC007 24/23 A2988 RMK AO2 SLP119 T02390233 55006 | ||||||||||||||||
| 5:54 AM | Calm | 5 | OVC006 | BR | 75 | 74 | 75 | 97 | 29.88 | 1012 | 0 | |||||
| KNAK 200954Z AUTO 00000KT 5SM BR OVC006 24/23 A2988 RMK AO2 SLP120 T02390233 | ||||||||||||||||
| 6:54 AM | Calm | 6 | OVC006 | BR | 75 | 74 | 75 | 97 | 29.88 | 1012.1 | 0 | |||||
| KNAK 201054Z AUTO 00000KT 6SM BR OVC006 24/23 A2988 RMK AO2 CIG 006V009 SLP121 T02390233 | ||||||||||||||||
| 7:20 AM | Calm | 10 | OVC010 | 76 | 74 | 76 | 94 | 29.88 | 0 | |||||||
| KNAK 201120Z AUTO 00000KT 10SM OVC010 24/23 A2988 RMK AO2 CIG 007V012 T02440233 | ||||||||||||||||
| 7:38 AM | WSW 3 | 10 | OVC009 | 76 | 74 | 76 | 94 | 29.88 | 0 | |||||||
| KNAK 201138Z AUTO 25003KT 10SM OVC009 24/23 A2988 RMK AO2 T02440233 | ||||||||||||||||
| 7:54 AM | Calm | 9 | OVC008 | 77 | 75 | 77 | 77 | 75 | 94 | 29.88 | 1012 | 0 | ||||
| KNAK 201154Z AUTO 00000KT 9SM OVC008 25/24 A2988 RMK AO2 SLP120 70027 T02500239 10250 20239 50001 | ||||||||||||||||
| 8:36 AM | Calm | 10 | OVC010 | 77 | 74 | 77 | 90 | 29.87 | 0 | |||||||
| KNAK 201236Z AUTO 00000KT 10SM OVC010 25/23 A2987 RMK AO2 T02500233 | ||||||||||||||||
| 8:54 AM | W 3 | 10 | OVC010 | 78 | 75 | 78 | 90 | 29.87 | 1011.6 | 0 | ||||||
| KNAK 201254Z AUTO 27003KT 10SM OVC010 26/24 A2987 RMK AO2 SLP116 T02560239 | ||||||||||||||||
| 9:54 AM | WNW 5 | 10 | BKN013 | 79 | 75 | 79 | 88 | 29.87 | 1011.7 | 0 | ||||||
| KNAK 201354Z AUTO 30004KT 10SM BKN013 26/24 A2987 RMK AO2 SLP117 T02610239 $ | ||||||||||||||||
| 10:42 AM | WNW 6 | 10 | OVC016 | 80 | 75 | 85 | 85 | 29.87 | 0 | |||||||
| KNAK 201442Z AUTO 29005KT 10SM OVC016 27/24 A2987 RMK AO2 T02670239 $ | ||||||||||||||||
| 10:54 AM | SW 6 | 10 | FEW015 BKN020 OVC031 | 81 | 75 | 87 | 82 | 29.87 | 1011.5 | 0 | ||||||
| KNAK 201454Z AUTO 23005KT 10SM FEW015 BKN020 OVC031 27/24 A2987 RMK AO2 SLP115 T02720239 56004 $ | ||||||||||||||||
| 11:05 AM | W 6 | 10 | SCT018 BKN031 BKN080 | 81 | 75 | 87 | 82 | 29.87 | 0 | |||||||
| KNAK 201505Z AUTO 26005KT 10SM SCT018 BKN031 BKN080 27/24 A2987 RMK AO2 T02720239 $ | ||||||||||||||||
| 11:39 AM | W 7 | 10 | SCT023 BKN029 | 83 | 74 | 90 | 74 | 29.86 | 0 | |||||||
| KNAK 201539Z AUTO 28006KT 10SM SCT023 BKN029 28/23 A2986 RMK AO2 T02830233 $ | ||||||||||||||||
| 11:46 AM | M | 10 | SCT026 | 84 | 75 | 92 | 74 | 29.86 | 0 | |||||||
| KNAK 201546Z AUTO 10SM SCT026 29/24 A2986 RMK AO2 T02890239 $ | ||||||||||||||||
| 11:54 AM | W 5 | 10 | SCT024 SCT031 | 85 | 75 | 94 | 72 | 29.85 | 1011.1 | 0 | ||||||
| KNAK 201554Z AUTO 27004KT 10SM SCT024 SCT031 29/24 A2985 RMK AO2 SLP111 T02940239 $ | ||||||||||||||||
| 12:54 PM | WNW 9 | 10 | FEW031 SCT039 | 86 | 74 | 94 | 67 | 29.84 | 1010.7 | 0 | ||||||
| KNAK 201654Z AUTO 29008KT 10SM FEW031 SCT039 30/23 A2984 RMK AO2 SLP107 T03000233 $ | ||||||||||||||||
| 1:54 PM | WNW 10 | 10 | FEW034 SCT075 BKN100 | 87 | 73 | 94 | 87 | 76 | 63 | 29.83 | 1010.3 | 0 | ||||
| KNAK 201754Z AUTO 30009KT 10SM FEW034 SCT075 BKN100 31/23 A2983 RMK AO2 SLP103 T03060228 10306 20244 56012 $ | ||||||||||||||||
| 2:54 PM | W 9 | 10 | FEW036 SCT100 | 87 | 73 | 94 | 63 | 29.82 | 1010 | 0 | ||||||
| KNAK 201854Z AUTO 26008KT 10SM FEW036 SCT100 31/23 A2982 RMK AO2 SLP100 T03060228 $ | ||||||||||||||||
| 3:54 PM | VRB 6 | 10 | SCT044 | 89 | 73 | 97 | 59 | 29.81 | 1009.6 | 0 | ||||||
| KNAK 201954Z AUTO VRB05G16KT 10SM SCT044 32/23 A2981 RMK AO2 SLP096 T03170228 $ | ||||||||||||||||
| 4:54 PM | W 10G23 | 10 | SCT110 | 89 | 72 | 96 | 57 | 29.8 | 1009.3 | 0 | ||||||
| KNAK 202054Z AUTO 28009G20KT 10SM SCT110 32/22 A2980 RMK AO2 SLP093 T03170222 58011 $ | ||||||||||||||||
| 5:54 PM | WNW 9 | 10 | FEW110 | 89 | 72 | 96 | 57 | 29.79 | 1009 | 0 | ||||||
| KNAK 202154Z AUTO 29008KT 10SM FEW110 32/22 A2979 RMK AO2 SLP090 T03170222 $ | ||||||||||||||||
| 6:54 PM | VRB 7 | 10 | CLR | 88 | 72 | 95 | 59 | 29.8 | 1009.3 | 0 | ||||||
| KNAK 202254Z AUTO VRB06KT 10SM CLR 31/22 A2980 RMK AO2 SLP093 T03110222 $ | ||||||||||||||||
| 7:54 PM | WNW 7 | 10 | CLR | 86 | 72 | 92 | 89 | 86 | 63 | 29.81 | 1009.8 | 0 | ||||
| KNAK 202354Z AUTO 30006KT 10SM CLR 30/22 A2981 RMK AO2 SLP098 T03000222 10317 20300 53005 $ | ||||||||||||||||
| 8:54 PM | NW 5 | 10 | CLR | 85 | 72 | 91 | 65 | 29.82 | 1009.8 | 0 | ||||||
| KNAK 210054Z AUTO 31004KT 10SM CLR 29/22 A2982 RMK AO2 SLP098 T02940222 $ | ||||||||||||||||
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.