Daily Data Tables - Wet Hours / hrs
Weather Variable:
Day | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
1 | 6 | 0 | 0 | 0.2 | 0 | 0 | 2 | 0 | 2 | 0 | 9 | 0.3 |
2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 4 | 14 | 0 |
3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 6 |
4 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 6 | 4 |
5 | 1 | 0 | 0 | 3 | 0.5 | 0 | 3 | 7 | 0 | 0 | 2 | 5 |
6 | 2 | 0 | 2 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7 | 3 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
8 | 6 | 0 | 10 | 0 | 2 | 0 | 4 | 6 | 0 | 0 | 5 | 0 |
9 | 0 | 0 | 9 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 3 | 10 |
10 | 6 | 0 | 4 | 11 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 4 |
11 | 3 | 0 | 2 | 6 | 2 | 0 | 2 | 0 | 0 | 4 | 0 | 1 |
12 | 7 | 0 | 3 | 4 | 1 | 1 | 0 | 0.1 | 2 | 9 | 2 | 11 |
13 | 0 | 0 | 0 | 0.5 | 0 | 0 | 1 | 0 | 0 | 9 | 8 | 2 |
14 | 8 | 0 | 4 | 5 | 0 | 0 | 8 | 4 | 0 | 0 | 4 | 2 |
15 | 0 | 0 | 5 | 1 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
16 | 7 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 |
17 | 0 | 0 | 5 | 2 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 |
18 | 0 | 1 | 4 | 0 | 0 | 3 | 1 | 3 | 3 | 7 | 9 | 0 |
19 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 2 | 1 | 7 | 0 | 11 |
20 | 0 | 0 | 3 | 2 | 0 | 3 | 0 | 0 | 10 | 6 | 0 | 0 |
21 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 4 | 8 | 2 | 0 |
22 | 0 | 4 | 3 | 0 | 0 | 0 | 10 | 0 | 0.5 | 0 | 0 | 2 |
23 | 0 | 0 | 3 | 4 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 |
24 | 0 | 2 | 4 | 5 | 0 | 0 | 2 | 2 | 0 | 4 | 0 | 2 |
25 | 3 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 5 |
26 | 0.5 | 0 | 8 | 0 | 0 | 0 | 6 | 3 | 0 | 6 | 6 | 0 |
27 | 0 | 0 | 0 | 6 | 0 | 0 | 6 | 1 | 0 | 0 | 5 | 8 |
28 | 0 | 0 | 5 | 2 | 0 | 0.3 | 0 | 0 | 0 | 3 | 0 | 7 |
29 | 0 | 3 | 0 | 0 | 7 | 0 | 0 | 3 | 6 | 0 | 0.5 | |
30 | 0 | 2 | 0 | 0 | 0 | 7 | 0 | 0 | 2 | 0 | 2 | |
31 | 0 | 14 | 0 | 6 | 0 | 2 | 3 | |||||
Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | |
High | 8 | 4 | 14 | 11 | 7 | 7 | 10 | 12 | 10 | 9 | 14 | 11 |
Mean | 58 (86%) |
8 (16%) |
103 (194%) |
59 (128%) |
24 (61%) |
14 (39%) |
75 (221%) |
41 (108%) |
28 (70%) |
79 (161%) |
79 (125%) |
93 (150%) |
Count | 14 | 5 | 23 | 16 | 8 | 5 | 18 | 11 | 9 | 15 | 15 | 20 |
Cumu- lative |
58 (86%) |
66 (55%) |
169 (98%) |
228 (104%) |
252 (98%) |
266 (90%) |
342 (104%) |
383 (104%) |
411 (101%) |
490 (107%) |
569 (109%) |
662 (114%) |
Wet Hours in London, nw3, for every available day of 2023 along with monthly summary:
lowest, highest, total, count (values > 0), and the cumulative value for the year to the month's end.
Figures in brackets refer to departure from recent
average conditions.