Daily Data Tables - Wet Hours / hrs
Weather Variable:
| Day | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
| 1 | 0 | 0 | 14 | 0.3 | 1 | 0.2 | 1 | 0 | 0 | 1 | 4 | 0 |
| 2 | 3 | 0 | 9 | 0.2 | 0 | 0 | 1 | 0 | 3 | 0 | 3 | 1 |
| 3 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 |
| 4 | 3 | 3 | 1 | 7 | 3 | 0 | 0 | 0 | 0 | 0 | 2 | 0 |
| 5 | 0 | 1 | 1 | 0 | 0 | 6 | 0 | 0 | 3 | 2 | 6 | 0 |
| 6 | 2 | 5 | 0 | 4 | 0 | 6 | 0 | 0 | 2 | 0 | 10 | 0 |
| 7 | 0 | 1 | 0 | 3 | 2 | 0 | 0 | 0 | 5 | 2 | 4 | 0 |
| 8 | 7 | 1 | 0 | 1 | 0 | 3 | 0 | 0 | 4 | 1 | 4 | 0 |
| 9 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 0 |
| 10 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 |
| 11 | 3 | 0 | 5 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
| 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 13 | 0 | 10 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 0 |
| 14 | 0 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 |
| 15 | 0.5 | 7 | 1 | 0 | 4 | 0 | 0 | 1 | 0 | 1 | 6 | 0 |
| 16 | 0 | 4 | 9 | 0 | 0.3 | 0 | 0 | 2 | 0 | 2 | 9 | 0 |
| 17 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 5 | 0 | 2 | 6 | 0 |
| 18 | 0 | 2 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 10 |
| 19 | 0 | 4 | 0 | 0 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 5 |
| 20 | 0 | 3 | 0 | 0 | 4 | 0 | 1 | 0 | 0 | 5 | 4 | 3 |
| 21 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | 0 |
| 22 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.5 | 0 | 2 |
| 23 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 2 | 8 | 4 | 6 |
| 24 | 0 | 4 | 0 | 0 | 6 | 1 | 0 | 0 | 0 | 4 | 1 | 1 |
| 25 | 0 | 0 | 0 | 1 | 0.5 | 0 | 0 | 9 | 0 | 2 | 0 | 1 |
| 26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 2 |
| 27 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 0 | 8 | 4 |
| 28 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 9 |
| 29 | 0 | 0.5 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | |
| 30 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 6 | 3 | 0 | 4 | |
| 31 | 2 | 1 | 3 | 0 | 0 | 4 | 7 | |||||
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | |
| Highest | 7 | 10 | 14 | 7 | 6 | 6 | 1 | 9 | 6 | 8 | 10 | 10 |
| Total | 20 (31%) |
61 (117%) |
48 (90%) |
16 (36%) |
36 (91%) |
25 (68%) |
6 (18%) |
17 (45%) |
39 (95%) |
54 (109%) |
89 (141%) |
61 (98%) |
| Count | 7 | 18 | 14 | 7 | 15 | 11 | 6 | 4 | 12 | 19 | 20 | 15 |
| Cumu- lative |
20 (31%) |
82 (68%) |
129 (75%) |
146 (67%) |
182 (70%) |
207 (70%) |
213 (65%) |
230 (63%) |
269 (66%) |
322 (71%) |
412 (79%) |
472 (81%) |
Wet Hours in London, NW3, for every available day of 2022 along with monthly summary: lowest, highest, total, count (days > 0), and the cumulative value for the year to the month's end.
Figures in brackets refer to departure from recent average conditions.